CN101180644A - Apparatus and methods for providing queue messaging over a network - Google Patents

Abstract

Systems and methods are described for processing queue data and for providing queue messaging over a network. An illustrative queuing system includes a first queue configured to hold resource requests from a plurality of users, and program code stored in computer readable memory configured to determine or estimate whether a resource requested by a first resource request submitted by a first requester will be available when the first resource request will be serviced, and to transmit a message over a network to the first requester indicating that the requested resource will not be available when the queued request is serviced if it is estimated or determined that the requested resource will not be available when the first request is serviced.

Description

The apparatus and method of queue message are provided by network

PRIORITY CLAIM

[0001] the application requires the rights and interests of No. the 60/663rd, 999,60/664,000,60/664,028,60/664,131 and 60/664,234, the U.S. Provisional Application submitted on March 22nd, 2005 according to united states patent law 119 (e), and these content whole are incorporated the application into.

Copyright

[0002] part of patent document bulletin comprises content protected by copyright.The copyright owner has no objection to duplicate (reproducting content is the same with Patent Office's patent file or record) of content of copyright to any patent file or patent announcement, but other situation is kept all copyrights.

Background of invention

Technical field

[0003] the present invention is relevant with resources allocation, especially the device of the queue message of being correlated with resource request is provided and handles relevant with the electronic distribution resource and by network.

Background technology

[0004] legacy system of Resources allocation can not distribute such resource and unit for the user usually effectively.Several classic methods that are used for services request and service resource request are arranged, wherein available resource-constrained, potential demand may surpass available resource.Yet disadvantageously, the dirigibility that a lot of classic methods provide when Resources allocation is limited.In addition, certain methods may cause resource seldom to be distributed.In addition, some examples may cause the unfairness of resource distribution.

Summary of the invention

[0005] example described herein is relevant with resources allocation, especially with electronic distribution resource limited or that limit and/or by the device of the queue message of being correlated with resource request being provided and handling relevant with network.Following example and its variation are illustrated examples, are not used for scope of the present invention is limited.

[0006] example that comprises queue system comprises: first formation and be stored in program code in the computer-readable memory.Wherein first formation is configured to handle the resource request from a plurality of users; During first resource request that program code is configured to submit to service first requestor, judge or estimate whether the resource of this resource request correspondence is available.If when first resource request is serviced, estimate or when judging that requested resource is unavailable, program code can transmit message to first requestor by network, shows that requested resource is unavailable when first resource request is serviced.

[0007] alternatively, described system further comprises the program code that is stored in the computer-readable memory, dispose this program code when first request is serviced, as to judging or estimating the disabled partial response at least of requested resource, be that first requestor determines potential standby resources automatically.Described system further comprises the program code that is stored in the computer-readable memory, dispose this program code when the formation request is serviced, as to judging or estimating the disabled partial response at least of requested resource, be that first requestor determines acceptable standby resources automatically.Described system also/or comprise the program code that is stored in the computer-readable memory, dispose this program code and transmit and resource request when serviced relevant estimated time of interval to the requestor.Requested resource may be relevant with ticket, for example, and seat ticket or event ticket.

[0008] example has been equipped with the method that queue message is provided for resource request, and this method comprises: judge or estimate resource request the position in resource request formation relevant with first requestor; Whether judgement or estimation requested resource when the formation request is serviced be available; When the formation request is serviced,, show that requested resource is unavailable when the formation request is serviced if estimate or judge and then transmit message to first requestor when requested resource is unavailable by network.Alternatively, described method further is included in the formation request when serviced, as to judging or estimating the disabled partial response at least of requested resource, is that first requestor determines potential standby resources automatically.Alternatively, described method further comprises when the formation request is serviced, as determining automatically that to judging or estimate the disabled partial response at least of requested resource, utilize to filter first requestor can receptible standby resources.Alternatively, when serviced described method further comprise to the requestor and transmitting and resource request interval of relevant estimated time.Requested resource may be relevant with ticket, for example, and seat ticket or event ticket.

[0009] example has been equipped with the method for setting ticket price, described method comprises: the first group size estimated value that is stored in first potential participator of activity that certain venue holds in computer-readable memory, first colony comprises first group and second group at least, wherein first group membership has first kind of motivation of participating in first activity, and second group membership has second kind of motivation of participating in first activity; In computer-readable memory, store first group size estimation; The storage first admission fee threshold value estimated value in computer-readable memory, this threshold value can cause first group of at least the first percentile member to buy event ticket; In computer-readable memory, store second group size estimation; The storage second admission fee threshold value estimated value in computer-readable memory, this threshold value can make second group of at least the second percentile member buy event ticket; The information of a plurality of venue seating areas is determined in storage in computer-readable memory; Read at least one venue seating area the 1st limit of the admission ticket quantity that a user can buy from computer-readable memory; Set the minimum first activity admission fee based on first group size, second group size, the first admission fee threshold value, the second admission fee threshold value and 1st limit to small part.

[0010] example above the contrast, in one example, first motivation is in order to make a profound impression to others.As more deep example, first group member tends to only buy relatively costly event ticket.As example, first group member tends to only buy relatively cheap event ticket.As more deep example, first group member has high relatively income.As another more deep example, first group member has low relatively income.As more deep example, first group member comprises the admission ticket middle man.Alternatively, described method further comprises visit and the patient first relevant parameter, and this patience is about obtaining the admission ticket relevant with first group.In one example, second motivation is relevant with interest to activity.As more deep example, second motivation is with social relevant.Alternatively, described method further comprises visit first lowest fare, wherein sets first lowest price based on first income assurance of first entity to small part.An example has been equipped with the method for setting ticket price, this method comprises: storage is about first group of potential movable participant's first size estimation in computer-readable memory, wherein first group membership's feature is to have first rank income, and/or with obtain the patient first relevant parameter of admission ticket; Storage is about second group of potential movable participant's second size estimation in computer-readable memory, and wherein being characterized as of second group membership has the second level income, and/or with obtain the patient second relevant parameter of admission ticket; Storage first index in computer-readable memory is indicated any event ticket price can make in first group and is ready to spend to buy to the small part member; Storage second index in computer-readable memory is indicated any event ticket price can make in second group and is ready to spend to buy to the small part member; To the lowest price of small part based on first size estimation, second size estimation, first index and second target setting, first event ticket.

Alternatively, said method comprises further and reads the activity cost data that wherein part is based on the activity cost data setting first event ticket price.Alternatively, said method comprises further and reads the ticket sales historical data relevant with the admission ticket of resaling that wherein part is set the first event ticket price based on the ticket sales historical data relevant with the admission ticket of resaling.Alternatively, said method comprises that further the member of first at least of first group of visit estimation is ready to buy the middle admission fee of admission ticket, and wherein part is set the price of first event ticket based on middle admission fee.Alternatively, said method further comprises visit and movable relevant historical income data, and wherein part is set the price of first event ticket based on the historical income data relevant with activity.

Example has been equipped with the method for setting ticket price, and this method comprises the 1st limit that reads the event ticket quantity that a user can buy, and wherein part is set the first event ticket price based on 1st limit.

An example has been equipped with the method for setting ticket price, and this method comprises the event ticket price that reads the first minimum permission, and wherein part is based on the event ticket price fixing first event ticket price of the first minimum permission.

[0011] example has been equipped with the method for setting ticket price, and this method comprises: storage is about first group of potential movable participant's first size estimation in computer-readable memory, and wherein being characterized as of first group membership has first rank income; Storage is about second group of potential movable participant's second size estimation in computer-readable memory, and wherein being characterized as of second group membership has the second level income; Storage first index in computer-readable memory is indicated any event ticket price can make in first group and is ready to spend to buy to the small part member; Storage second index in computer-readable memory is indicated any event ticket price can make in second group and is ready to spend to buy to the small part member; To the lowest price of small part based on the first size estimation value, the second size estimation value, first index and second target setting, first event ticket.

[0012] alternatively, first group membership is relevant with first motivation of participation activity.In some instances, first group membership may buy relatively costly retractable seat, stays deep impression to others.In some instances, first group membership may have the purpose participation activity of associating with other people in arms.In some instances, first group membership may only can buy relatively cheap event ticket.In some instances, first group membership has high relatively income and/or a large amount of relatively disposable incomes.In some instances, first group membership has low relatively income.In some instances, first group membership comprises the admission ticket middle man who sells admission ticket once more.Alternatively, said method further comprises: read relevant with first group membership, about obtaining first parameter of admission ticket patience, wherein the price of first event ticket part is based on first parameter setting.Alternatively, said method further comprises: read the 1st limit of the event ticket quantity that a user can buy, wherein part is set the price of first event ticket based on 1st limit.Alternatively, said method comprises further and reads the first minimum admissible event ticket price that wherein part is based on the price of first minimum admissible event ticket price fixing first event ticket.Alternatively, said method comprises further and reads the ticket sales historical data that wherein part is set the price of first event ticket based on the ticket sales historical data.Alternatively, said method comprises further and reads the activity cost data that wherein part is based on the price of activity cost data setting first event ticket.Alternatively, said method comprises further and reads the ticket sales historical data relevant with the admission ticket of resaling that wherein part is set the price of first event ticket based on the ticket sales historical data relevant with the admission ticket of resaling.Alternatively, said method further comprise read estimate first group at least the member of first be ready middle the ticket price bought, wherein partly set the price of first event ticket based on middle ticket price.Alternatively, said method further comprises and reads the historical sales data relevant with the discount sale of at least one activity, wherein part based on the price of historical sales data setting first event ticket of reducing the price relevant.Alternatively, said method further comprises and reading and the relevant historical sales data of movable income, wherein partly sets the price of first event ticket based on historical income data.Alternatively, said method further comprise part based on the price of historical sales data setting first event ticket of reducing the price relevant.Alternatively, said method further comprise to small part based on being that ticket prices are set in a plurality of venues zone with the historical sales data of reducing the price relevant with admission ticket.Alternatively, said method further comprises and reads and movable drop into relevant cost data, wherein partly sets the price of first event ticket based on cost data.

[0013] example has been equipped with the method for handling the electronic force column data, and this method comprises: judge or estimate request quantity relevant with admission ticket in the first electronics formation; To small part based on request quantity relevant in the first electronics formation and historical formation forgo data with admission ticket, select notification type, and offer in the formation at least one and propose user with the admission ticket association requests about formation; To with formation in the terminal transmission notification type corresponding notice related with at least one user of admission ticket association requests proposed.

[0014] example above the contrast, in some instances, select notification type with reduce the user abandon they in formation with the quantity of admission ticket association requests.In some instances, use the notification type of selection to present the formation stand-by period of the estimation that is rounded up to the most approaching minute.In some instances, use the notification type of selecting to be less than the formation stand-by period of specifying the duration to present.In some instances, use the notification type of selecting to present the notice about formation, this formation does not comprise formation stand-by period information.In some instances, part is ready historical average duration and/or the standard duration deviation selection notification type waited for based on one or more users before the request relevant with admission ticket in abandoning formation.

[0015] example has been equipped with the method for handling the electronic force column data, and this method comprises: historical data is abandoned in the formation of visiting at least one admission ticket formation, and wherein abandoning data and user, to abandon the request of being correlated with admission ticket in the formation relevant.Abandon historical data to small part based on formation, selecting a class to offer at least one has queuing message with the user of admission ticket association requests in formation; Transmission is notified to terminal, and wherein notice comprises the information corresponding to selected queuing message type, propose in terminal and the formation and at least one user of admission ticket association requests related.

[0016] the above-mentioned example of contrast in some instances, selects the queuing message type to abandon to reduce formation.In some instances, select the queuing message type to abandon to increase formation.In some instances, the queuing message type of selection comprise estimation, be rounded up to the most approaching minute formation stand-by period.In some instances, notice presents and is less than the formation stand-by period of specifying the duration.In some instances, Xuan Ding queuing message type does not comprise formation stand-by period information.In some instances, part is ready historical average duration and/or the standard duration deviation selection queuing message type waited for based on one or more users before the request relevant with admission ticket in abandoning formation.In some instances, relevant with admission ticket request is the request of buying at least one ticket sheet.In some instances, relevant with admission ticket request is the request of checking the admission ticket availability.

[0017] example has been equipped with the method for handling the electronic force column data, and this method comprises: receive in the formation from the admission ticket relevant request of first user to first activity; Judge the seat availability of first activity; When first user's the request relevant with admission ticket is serviced, to small part based on real in formation with the admission ticket association requests, estimate or relative position and seat availability, estimate whether the seat available; When first user's the request relevant with admission ticket is serviced, if estimate to show that the seat is unavailable, then provide indication to the user, show that the seat is unavailable.

[0018] the above-mentioned example of contrast, in some instances, the service request relevant with admission ticket comprises whether the corresponding seat of decision request is available.Alternatively, said method further is included as first user information about second activity is provided, and wherein arranges same performing artist in first movable and second movable the performance.Alternatively, said method further comprises when first user's the request relevant with admission ticket is serviced, as to estimating to show the disabled partial response at least in seat, for first user provides information about second activity.Alternatively, said method further comprises when first user's the request relevant with admission ticket is serviced, as to estimating to show the disabled partial response at least in seat, for first user provides information about second activity; Wherein, unite filtration to the small part use and select second activity.Alternatively, said method further comprises the request relevant with first event ticket that receives in the formation from first user, when first user's the request relevant with admission ticket is serviced, real in formation to small part based on the request relevant with admission ticket, estimate or relative position and retractable seat availability, show that to first user seat is unavailable selectively.In some instances, the request relevant with admission ticket comprises whether the corresponding seat of decision request is available in the example.Alternatively, said method comprises when first user's the request relevant with admission ticket is serviced, as to estimating or judge the disabled partial response at least in seat,, wherein arrange same performing artist in first movable and second movable the performance for first user provides information about second activity.Alternatively, said method further comprises when first user's the request relevant with admission ticket is serviced, as to estimating or judge the disabled partial response at least in seat, for first user provides information about second activity, wherein determine the performing artist of second activity about the message of second activity, the performing artist who does not wherein arrange to determine is in the first movable performance.Alternatively, said method further comprises when first user's the request relevant with admission ticket is serviced, as to estimating or judge the disabled partial response at least in seat,, wherein use and unite second activity of selection of filtering to small part for first user provides information about second activity.

[0019] example has been equipped with the method that visit is provided or obtains (access) admission ticket, and the method comprises: transmit payment first participating fee to participate in the proposal of the first movable phase one ticket sales for first user by network; Receive indication by network in ticketing system, show that proposal accepted by first user; During the phase one of ticket sales, by the admission ticket request of network reception from first user; As to receiving the partial response at least of admission ticket request, judge that first user has the qualification of participating in the phase one ticket sales.

[0020] alternatively, said method comprises that further it is available in the phase one how many seats being arranged based on the number of users judgement of having paid first participating fee to small part.In some instances, first participating fee can not be returned.In some instances, if first user does not buy admission ticket in the phase one, first participating fee is returnable.Alternatively, said method further comprises by the network transmission pays second participation fee to participate in the proposal of the first activity subordinate phase ticket sales, and wherein the subordinate phase of ticket sales is after the phase one, and second participation fee is lower than first participation fee.Alternatively, said method comprises that further can make a plurality of users need not pay participation fee participates in the event ticket in other stage and sell.Alternatively, in some instances, have only the qualified payment participation fee of some specific user to participate in the ticket sales of phase one.Alternatively, in some instances, have only the fan club member * * relevant with the first movable performing artist.Alternatively, in some instances, has only qualified payment first participation fee of card holder's ability of first kind credit card.

[0021] example has been equipped with the method for choosing admission ticket is provided, and the method comprises: transmitting the user for first user by network provides first additional cost can participate in the proposal of the first movable phase one ticket sales; Receive indication by network in ticketing system, show that proposal accepted by first user; During the phase one of ticket sales, by with the admission ticket relevant request of network reception from first user; As to receiving the partial response at least of relevant request, determine that first user is eligible for the ticket sales of phase one with admission ticket.

[0022] alternatively, said method further is included as first user password or link is provided, and by password or link first user indication may be provided, shows that first user has the ticket sales qualification of participating in the phase one.Alternatively, in some instances, in the phase one of ticket sales, admission ticket is all sold with fixed price.Alternatively, in some instances, in the phase one of ticket sales, admission ticket is by selling on an Auction.Alternatively, described method further comprises to small part and determines have how many seats to use in the phase one based on user's the number of payment first additional cost.Alternatively, in some instances, first additional cost can not be returned.Alternatively, in some instances, if the user does not buy admission ticket in the phase one, first additional cost is returnable.Alternatively, described method further comprises by the network transmission proposes that pay the ticket sales that second additional cost is participated in the first activity subordinate phase, wherein subordinate phase is after the phase one, and second additional cost is not equal to first additional cost.Alternatively, described method comprises that further making a plurality of users need not pay additional cost participates in the event ticket in another stage and sell.Alternatively, in some instances, have only the qualified payment additional cost of some specific user to participate in the ticket sales of phase one.Alternatively, in some instances, have only qualified payment first additional cost of the fan club member relevant to participate in the ticket sales of phase one with the performing artist of first activity.Alternatively, in some instances, have only just qualified payment first additional cost of card holder of first kind credit card to participate in the ticket sales of phase one.

[0023] example has been equipped with the method for dynamic setting event ticket price, comprises the initial seat ticket price of first activity of setting based on ticket sales historical data and the historical income data relevant with activity to small part; Monitor the ticket sales data of first activity, and with the ticket sales data storage in computer-readable memory; After event ticket is sold beginning, to small part based on historical ticket sales data movable before the ticket sales data of first activity, at least one with show the designated price adjustment limit setting second seat ticket price of the scope that the second seat ticket price can change compared to initial seat ticket price.

[0024] alternatively, said method further comprises according to being stored in predetermined arrangement in the computer-readable memory, the time that sends the seat ticket selling proposition with the second seat ticket price is set.Alternatively, described method comprises that further part is based on the initial seat ticket price of activity cost data setting.In some instances, the historical income data relevant with activity comprises historical income or other and the relevant income of reducing the price of stopping.Alternatively, described method comprises that further part based on the initial seat ticket price of activity cost data setting, reads indication from computer-readable memory, shows the maximum times of the seat ticket price adjustment that can carry out first activity.In some instances, do not set the second seat ticket price based on selling the seat stock to small part.Alternatively, described method further comprises the time that sends the seat ticket selling proposition at least according to time interval setting remaining before movable with the second seat ticket price.Alternatively, described method further comprises directly and transmits Email, short message and/or instant message at least one user, for the user provides about setting the information of second ticket price.Alternatively, described method further comprises the seat that distribution is unnecessary, and the admission ticket of these seat correspondences can obtain before event ticket is sold beginning back and movable beginning.Alternatively, described method further comprises the seat that distribution is unnecessary, the admission ticket of these seat correspondences can obtain before event ticket is sold beginning back and movable beginning, determine that at least one customer requirements sends notice when the unnecessary seat of distribution, and will send at least one user to about the notice of issuing unnecessary seat.In some instances, part selects initial seat ticket price enough high, reducing the quantity that specific admission ticket buyer buys seat ticket, thereby reduces the number of isolated retractable seat.In some instances, part selects the initial seat ticket price and/or the second seat ticket price to reduce the number of isolated retractable seat.

[0025] example provides the method for dynamic setting event ticket price: to small part based on the initial seat ticket price of historical ticket sales data setting; Store the calendar that at least once reduces the seat ticket price into computer-readable memory; Transmit the arrangement that at least once reduces the seat ticket price to the terminal related by network with potential admission ticket buyer.

[0026] alternatively, said method further comprises the quantity that transmits the price reduction to terminal.Alternatively, described method further comprises to the terminal transmission relevant with seat ticket price reduction arrangement: activity name; The movable date; The seat ticket price of the sign of at least one available in-seat and current correspondence; Potential admission ticket buyer can buy the restricted number of event ticket.In some instances, the arrangement of transmission comprises the date of at least seat ticket price reduction.In some instances, the arrangement of transmission comprises the time of at least seat ticket price reduction.In some instances, select the quantity of at least seat ticket price reduction based on the historical data of ticket sales to small part.In some instances, set initial seat ticket price based on the historical income data relevant to small part with activity.Alternatively, described method further comprises at least one user and transmits Email, short message and/or instant message, the message of notifying user's admission fee to reduce.Alternatively, described method further comprises the seat that distribution is unnecessary, and the admission ticket of these seat correspondences can obtain before event ticket is sold beginning back and movable beginning.Alternatively, described method further comprises the seat that distribution is unnecessary, the admission ticket of these seat correspondences can obtain before event ticket is sold beginning back and movable beginning, determine that at least one customer requirements provides notice at least one user when the unnecessary seat of distribution, and will send at least one user to about the notice of issuing unnecessary seat.

[0027] example provides the method for dynamic setting event ticket price: the storage and the first movable long-term relevant information of ticket sales expectancy model; The ticket sales of long-term monitor activities reality; Sell expectancy model and the long-term actual ticket sales setting at least the first seat ticket price to small part based on event ticket, wherein sell the beginning back and set the first seat ticket price in event ticket.

[0028] in some instances, expectancy model to small part based on the long-term actual ticket sales of an at least historical act.Alternatively, said method further comprises to the terminal transmission related with the potential buyer: activity name; The movable date; The sign of at least one available in-seat; The first seat ticket price; Potential admission ticket buyer can buy the restricted number of event ticket.In some instances, to small part based on historical discount sale data, before setting the first seat ticket price, set initial seat ticket price.In some instances, to small part based on one of past or many historical income data that activity is relevant, before setting the first seat ticket price, set initial seat ticket price.Alternatively, said method comprises further at least one user and transmits Email, short message and/or instant message that notifying user's admission fee is the availability of the seat ticket of first ticket price.Alternatively, said method further comprises the seat that distribution can be obtained with first ticket price.

[0029] example has been equipped with the method that is used for setting in the admission ticket auction admission ticket lowest bid, and this method comprises: to small part based on the historical sales data, be that first group of seat ticket of first activity set initial lowest bid; To the quotation information of small part, be that second group of seat ticket of first activity set lowest bid, wherein second group of seat ticket auction behind first group of seat ticket based on first activity.

[0030] in some example of above-mentioned example, quotation information comprises the relevant information of quantity with first event ticket quotation that receives.In some instances, quotation information comprises the relevant information of speed of offering with first event ticket.In some instances, the historical sales data comprise the historical income of stopping.In some instances, the historical sales data comprise the history income of reducing the price.In some instances, the historical sales data comprise historical ticket sales data.Alternatively, said method comprises that further reading the lowest bid adjustment from computer-readable memory limits.Alternatively, said method comprises that further reading the first lowest bid adjustment from computer-readable memory limits, and wherein is that second group of seat ticket setting lowest bid is limited by first lowest bid adjustment restriction.In some instances, do not set second lowest bid based on selling the seat stock to small part.The quotation time of the auction seat ticket relevant with second minimum bid is set according to the remaining time interval before movable in some instances, at least.Alternatively, said method further is included in event ticket to begin auction and begins the unnecessary seat ticket of distribution before back, the movable beginning, determine that at least one customer requirements sends notice when the unnecessary seat of distribution is clapped unexpectedly, and will send at least one user to about the notice of issuing unnecessary seat.Alternatively, said method further comprise storage with at least one by the related lowest price of the seat ticket of auction, to the quoter lowest price is not disclosed wherein before the completion of an auction of at least one seat ticket.Alternatively, said method further comprises the quotation of determining first group of seat ticket of winning, the quotation of wherein winning comprises first quoter's the highest the win quotation and second quoter's the minimum quotation of winning, calculating is lower than the highest quotation of winning, is higher than first ticket price of the minimum quotation of winning, for at least one ticket sheet is charged by first ticket price to first quoter, at least one ticket sheet is charged by first ticket price to second quoter.Alternatively, said method further comprises except that first ticket price, also collects transportation and/or service fee to first quoter.

[0031] example has been equipped with the method for setting ticket price for movable, this method comprises: provide the investigation relevant with ticket price by network at least the first user, wherein investigation requires first user that the indication that is worth about seat, zone, a plurality of place is provided; Receive investigation result, comprise investigation reaction and/or the information that obtains from the investigation reaction; Visit is stored in the historical ticket sales data in the computer-readable memory; Visit is stored in the historical income data in the computer-readable memory; Visit is stored in prepares related cost data with activity in the computer-readable memory; With to small part based on investigation result, historical ticket sales data and cost data, set at least the first ticket price and/or the first minimum bid quantity.

[0032] in some instances, investigation requires first user to provide monetary value for the seat ticket at least the first venue zone and the seat ticket in the second venue zone.In some instances, investigation requires first user to provide about the suggestion to mass discrepancy between second seat in first seat in the first venue zone and the second venue zone.In some instances, before starting selling, event ticket provides investigation for first user.In some instances, provide investigation for first user, wherein only limit to potential admission ticket buyer's subclass is sold at the event ticket selling period.In some instances, provide investigation for first user, wherein sell open to the public at the event ticket selling period.In some instances, in admission ticket selection or admission ticket purchasing process, provide investigation for first user.In some instances, investigation requires first user to provide the seat rank for a plurality of seats and/or seating area.In some instances, investigation requires first user to provide rank and/or appraisal for nominated bank.In some instances, investigation requires first user to provide rank and/or appraisal for the specified portions of certain row.

[0033] example has been equipped with the method for selecting ticket price for movable, this method comprises: provide investigation about seat rank and/or appraisal by network at least one first user, wherein investigation requires first user to provide about seat, zone, a plurality of places to be worth and/or the indication of rank; Receive investigation result, comprise investigation reaction and/or the information that obtains from the investigation reaction; Read the historical ticket sales data that are stored in the computer-readable memory; To small part based on investigation result and historical ticket sales data, set at least the first ticket price and/or the first minimum bid quantity.

[0034] in some instances, investigation requires first user to provide monetary value for first seat ticket in the first venue zone and second seat ticket in the second venue zone.In some instances, investigation requires first user to provide about the indication to mass discrepancy between first venue, first seat, zone and second seat, second venue zone.In some instances, before starting selling, event ticket provides investigation for first user.In some instances, before beginning auction, event ticket provides investigation for first user.In some instances, provide investigation for first user, wherein only limit to potential admission ticket buyer's subclass is sold at the event ticket selling period.In some instances, provide investigation for first user, wherein sell open to the public at the event ticket selling period.In some instances, in admission ticket selection or admission ticket purchasing process, provide investigation for first user.In some instances, as the partial response at least of definite first user having been bought at least a ticket sheet, for first user provides investigation.In some instances, as to determining that first user has abandoned the partial response at least of first request relevant with admission ticket, for first user provides investigation.In some instances, investigation requires first user to provide the seat rank for a plurality of seats and/or seating area.In some instances, investigation requires first user to provide rank and/or valuation for nominated bank.In some instances, investigation requires first user to provide rank and/or valuation for the specified portions of certain row.Alternatively, said method further is included in and is at least one event ticket setting ticket price after event ticket is started selling.

An example has been equipped with the system that improves income, this system comprises the program code that is stored in the computer-readable memory, dispose these codes: user interface is provided, can defines and/or select activity characteristic about first activity by this user interface user; User interface is provided, can sets moveable filter, use this filtrator to search one or many historical acts that should filtrator by this user interface user; For the user provides the first movable sale speed of predicting.

Contrast above-mentioned example system, activity characteristic chooses at random from the characteristic group that comprises one of following properties: main performing artist; Auxiliary performing artist; The performance date; What day; Time; The place.Contrast above-mentioned example system, alternatively, program code is configured to receive the value counting corresponding at least one characteristic.Contrast above-mentioned example system, alternatively, program code further is configured to receive the indication that remaps from the user, and first characteristic value is mapped to second characteristic value.

An example has been equipped with the system of potential demand, this system comprises the program code that is stored in the computer-readable memory, disposes this program code: according to first information source the first demand estimated value to first activity is stored in the computer-readable memory; According to second information source second demand estimated value to first activity is stored in the computer-readable memory; Visit second weighting of first weighted sum from computer-readable memory; Use the first demand estimated value, the second demand estimated value, first weighted sum, second weighted calculation the 3rd demand estimated value.

An example has been equipped with the system that the demand estimated information is provided, this system comprises the program code that is stored in the computer-readable memory, dispose this program code: generate graphic presentation, comprise: the demand factor data of a large amount of historical acts, the prediction future activity the demand factor data, wherein to small part based on a large amount of historical acts to small part demand factor data prediction demand factor data.

Contrast above-mentioned example system, alternatively, this system further comprises the program code that is stored in the computer-readable memory, disposes this program code: make the user can select the subclass of a plurality of historical act demand factor data of graphic presentation; Generate the relevant graphic presentation of the activity characteristic related with selection subsets.

An example has been equipped with the system of cash call flow information, and this system comprises the program code that is stored in the computer-readable memory, disposes this program code: show a plurality of rule inputs and corresponding rule type; Corresponding to a plurality of rule inputs, conservative cash flow estimated value is provided, optimistic cash flow estimated value, and/or cash flow estimated value, its cash flow value is between the cash flow estimated value of conservative cash flow estimated value and optimism.

An example has been equipped with the system of selecting ticket price, improving income, this system comprises the program code that is stored in the computer-readable memory, dispose this program code: receiving user's cash flow increases instruction, wherein the user can select from a plurality of activity need situations, and the user can indicate in generating cash flow increase process and use which cost and the receipt item; For the user presents at least the first ticket price, wherein first ticket price to small part produces by cash flow increase process.

[0035] above-mentioned example can realize by the computer code that use is stored in the computer-readable memory.Computer code can be carried out by one or more systems, for example entrance managing system and/or revenue management system.Can be in conjunction with the characteristics of two or more above-mentioned examples.

Description of drawings

[0036] example of the present invention will contrast the accompanying drawing of summing up below and be described.These accompanying drawings and associated description are used for setting forth the example of invention, are not used for limiting the scope of the invention.

[0037] Figure 1A-B has shown the exemplary system that can use with processing procedure described herein.

[0038] Fig. 2 has shown first example of processing procedure.

[0039] Fig. 3 has shown second example of processing procedure.

[0040] Fig. 4 has shown the example of the estimated value characteristic of multiple colony.

[0041] Fig. 5 graphic presentation the example of multiple colony estimated value pattern.

[0042] Fig. 6 has shown the example user interface that comprises about price reduction information.

[0043] Fig. 7 has shown explanation uses different price methods how to influence the form example of income.

[0044] Fig. 8 A-C has shown the example of auction user interface.

[0045] Fig. 9 has shown the example of quene state user interface.

[0046] Figure 10 has shown the example of notice request user interface.

[0047] Figure 11 has shown the example of investigation form.

[0048] Figure 12 has shown the example of before sales selection service user interface.

[0049] Figure 13 has shown the example at revenue management system Operations Requirements predictive user interface.

[0050] Figure 14 has shown the example of data importing user interface.

[0051] Figure 15 A-C has shown the example of the user interface of definition and selectivity characteristic.

[0052] Figure 16 A-B has shown the example of the user interface of defined property value.

[0053] Figure 17 has shown the example of the user interface of definition opposed area value.

[0054] Figure 18 has shown the example of the user interface of definition filtrator.

[0055] Figure 19 has shown the example of characteristic compensation user interface.

[0056] Figure 20 has shown the example at activity need predictive user interface.

[0057] Figure 21 has shown the example of the user interface of display characteristic value grouping.

[0058] Figure 22 has shown the example of the user interface of setting up analysis of cash flow.

[0059] Figure 23 has shown the example of cash flow arrangement user interface.

[0060] Figure 24 has shown that cash flow improves the example of user interface.

[0061] Figure 25 has shown the example of the user interface of demand estimated value.

[0062] Figure 26 has shown the example of adjusting the user interface of seating capacity between price or lowest bid rank.

Embodiment

[0063] the present invention is relevant with resources allocation, and is especially, relevant with the device and the processing procedure of electronic distribution resource limited or that limit.

[0064] runs through following description, use server site term " website " expression user-accessible, that realize the basic WWW standard of hypertext document coding and transmission.Comprise HTML (HTML (Hypertext Markup Language)) and HTTP (HTML (Hypertext Markup Language)) before these standard mesh.WWW or other website it will be appreciated that term " website " is not used to refer to single geographic position, because for example can comprise a plurality of geographic position distributed computers systems that suitably are linked together.In addition, though following description is relevant with the example of using the Internet and related protocol, also can use other network (for example interactive TV networks) and other agreement.

[0065] in addition, unless prompting in addition, function described herein can be carried out with software module, and software module comprises executable code and the instruction that moves on one or more multi-application computers.Computing machine can comprise the wired and/or radio network interface of one or more CPU (central processing unit) (CPU), storer and access Intranet and/or the Internet.CPU (central processing unit) is used for executive routine code and deal with data.Storer comprises one or more volatile memories, nonvolatile memory.Volatile memory is such as the random access storage device (RAM) of temporary storaging data the program term of execution and data structure, nonvolatile memory such as hard disk drive, CD or flash memory disk, be used for stored programme and data, comprise the database that may be known as " system database ".In addition, computing machine comprises the display screen of information such as explicit user interface, data, be used to navigate, provide order, input information, one or more user input apparatus of searching for similar applications such as inquiry, for example similar devices such as keyboard, mouse, pointing device, microphone are provided.But the present invention can use specific purposes computing machine, terminal, state machine equally and/or connect electronic circuit firmly and realize.

[0066] in addition, processing procedure example described herein not necessarily must be carried out according to the order of describing, and not all state all must reach or carry out.In addition, the process status of some serial execution of demonstration can executed in parallel.

[0067] process that describes below and system with can make system user with the Dynamic Pricing processing procedure sell, approval or obtain specific quantity may be in the stock the system and the process of unit (each is one " unit ") relevant.Each unit may be similar and different with the unit of other sale.Each unit can comprise one or more ingredients.

[0068] " unit " example can be individual event ticket.Another example of " unit " can be one group of event ticket.Another example of " unit " can be one group of event ticket and relevant commodity.But a unit does not need to contain or comprise one or more event ticket, but comprises another or a plurality of project, for example air ticket.

[0069] in one example, user terminal uses Broadband Network Interface, dialing modem or similar device by network, and for example the Internet inserts the ticketing service computer system.For example, user terminal can be the sequencing digit aid of PC, interactive television, networking, wireless telephone of computer networking or the like.User terminal can comprise display screen, keyboard, mouse, trace ball, electronic pen, microphone (can accept voice command), other user interface, printer, loudspeaker, and semiconductor, magnetic and/or optical storage.

[0070] user terminal example comprises browser or other network insertion software that can carry out elemental network or Internet function (for example submit HTML or other format code to and accept user's input).Browser is stored a spot of information selectively, for example leaves the digital Cookie (little information) in the user terminal volatile memory in.Can pass through browser access information, and packets of information is contained in afterwards the request.As example, Cookie can store client, session and/or the browser identification information of the admission ticket application access that can be running in strange land ticketing service computer system.

[0071] user can be used for the information buying or ratify in can addressed location, submits the request of buying the unit to and buys the unit.Similarly, other users can submit the unit of being sold to by user terminal browser and alternate manner.

[0072] as example, can list the part or all of of following content for the user presents webpage or other user interface: current admission fee, the amount field at the seat of the event ticket combination of the admission ticket correspondence of the activity of sales unit correspondence, space for activities, sale, seating assignments or the combination of one or more admission ticket; The user can import quantity of the unit (for example admission ticket) customer quote, that have a mind to purchase, that bid is bought or the like in amount field.

[0073] ticketing service computer system can comprise admission ticket server, account management server, Card Verification system, internal network, request router, admission ticket request, data and state queue and the interface that is connected to the Internet.The ticketing service computer system can be supported can be by user website that insert, that be used for sales unit (for example admission ticket, or other resource, or stock).The ticketing service computer system can comprise the one or more databases that can visit its data as required.For example, these databases may comprise user account database, and it has stored customer contact mode, bill, hobby, Account Status and similar information.User account database can be by the visit of ticketing service computer system other parts, for example account management server.Equally also may be equipped with survey database, it stored come from the user, for example with ticket price and/or seat or the relevant investigation result of regional rank.Survey database can store come from the user, for example with ticket price and/or seat or the relevant investigation result of regional rank.Alternatively, survey database or other database storing admission ticket purchasing group following properties partly or entirely: the patience of group size, income, prediction or the estimation of relevant admission ticket purchasing group, can make the estimation number percent of Reference Group not buy the ticket price of admission ticket and can make the estimation number percent of Reference Group not buy the ticket price of admission ticket.One or more databases can be stored the information from one or more users that receives by different user interfaces, for example in these user interfaces disclosed herein.

[0074] ticketing service computer system can comprise the front end exchange network selectively, can be stored in state and information data buffer memory in a series of servers of forming the high power capacity front end, the a series of servers that comprise application server, a series of servers and the core ticket server system of responsible control transaction Subscriber Queue.The request queue of Internet user and/or telephone subscriber's correspondence for example can be arranged.

[0075] if the unit comprises admission ticket, then be equipped with one or more can be by the ticketing data storehouse of ticketing service computer system accesses, be used to store the ticket information record of admission ticket, for example comprise other sign of bar code information, activity name, movable date, seat identification, admission ticket holder name or current admission ticket holder, in the past admission ticket holder's name or other sign, admission ticket effectively/invalid indication, and the indication that whether is used of admission ticket.In addition, be equipped with the activity database of storage, comprised place, performer, date, time or the like about action message.Ticketing system does not need to comprise above-mentioned all systems and parts, and other system and structure also can be used.

[0076] Figure 1A-B has shown the exemplary system that can use with price described herein and/or ticket sales process.System does not need to comprise all systems and the parts of demonstration, and other system and structure also can be used.Contrast Figure 1A-B, user terminal 102 uses the unit dissemination system (for example, ticketing system) of HTTP/HTTPS and example to connect by the Internet 105.The example 106 of gateway system comprises optional load equalizer 108 and gateway processor 110, can block selectively with route and mail to the interior request of going into of suitable inner destination from the user browser that operates in terminal 102, inner destination can be queue server or other destination server.

[0077] exemplary system 104 of Xian Shiing comprises network application system example 112, and it comprises optional load equalizer 114 and network application processor 116.Universal transaction system 118 comprises optional load equalizer 120 and transaction processor 122, with generating transaction interface (part or all of user interface for example described herein), padding data buffer memory, the logic that transaction flow is provided and/or rule, provide with formation relevant message in the position of formation for the user according to resource request, and arrangement request order.Cache cluster system 124 comprises optional load equalizer 126 and processor 128.Cache cluster system 124 data cached and states are so that by other system unit fast access.

[0078] the processor system example 130 that provides comprises optional load equalizer 132 and unit (for example admission ticket) sales processor 134.Alternatively, processor 134 can be used for various type of sale, comprises the ticket sales of auction, fixing/static price, and/or the ticket sales of dynamic price.The type of sale of more than enumerating is an example, not as restriction.Processor example 134 is handled and/or managerial marketings, follows the tracks of following content: the quantity of the type of the project of sale or project team, distribution state, auction under the auction situation, current quoter, current quotation, lowest bid increment, currently may win the lowest bid that auction needs, number of items that auction is fallen or the like.

[0079] as example, the auction type can comprise following one or more:

[0080] 1, the quotation in the payment auction, wherein the auction person of winning pays by its quotation.

[0081] 2, unified marked price auction, wherein the auction person of winning at the admission ticket/seat of certain particular type pays by the minimum quotation of winning of the type.

[0082] 3, oppositely auction, wherein the quality and quantity at user's specified activities seat and hope mean the amount of money of corresponding admission ticket payment, and whether one or more sellers can select them to be ready by those admission tickets of those sell at competitives.For example, these sellers may be admission ticket middle man or other admission ticket buyer.

[0083] processor 134 or other system can be used for supporting yield management software, and this software uses historical data, cost data and/or other data prediction activity need.In addition, yield management software can be set the distribution of initial ticket price (or setting initial lowest bid under the auction situation), adjustment ticket price (or lowest bid), arrangement fare changes and/or control retractable seat.

[0084] even working load balanced device and a plurality of ticket sales processor make that at system unit (for example processor 134) sale/auction still can continue when breaking down, may have any or not have performance impact.For example, if sales processor breaks down, can transfer to another sales processor selectively by load equalizer by the processing that the processor that breaks down is carried out.Session group system 136 comprises optional load equalizer 138 and a plurality of processor 140, and session group system 136 is used for managing conversation.

[0085] member's transaction data base 142 storage user contact infonnation, bill information, hobby, Account Status or the like, it can be visited by the other parts of system 104.In addition, database 142 can be stored and select indication, wherein about auction, wins specific auction in order to ensure the user, and the quotation that the user agrees them is automatically by specific quantity growth and/or rise to maximum quantity.Database 142 is also stored the user and is won quotation or become the selection of the notice of losing quotation from winning to offer from losing to offer to become about auction, auction state and/or customer quote state.

[0086] database 142 can also be stored the selection of user about non-auction notice, for example notice when admission fee reduces in the mark-down sale activity.Alternatively, database 142 storage users indication shows if the admission ticket that admission fee is in or the user is ready to buy specific activities, particular seat zone when being lower than specified quantity, if wherein ticket price satisfies user's fare criteria, then system finishes the admission ticket purchase automatically, and collects the charges to the user.As example, the user can specify such purchase standard by the webpage that system 104 supports.

[0087] alternatively, database can be stored the user about the selection for the unnecessary seat ticket notice of movable distribution.All can send notice during for example, at every turn for the sale of specific activities or auction admission ticket for the user.Alternatively, this selection can be limited to the notice to the distribution transmission of seat ticket in selected venue zone or the admission fee amplitude.

[0088] activity database 144 storages for example comprise venue, artist/team participating in competition, date, time or the like about the information of activity.Activity database 144 or independent database, comprise the ticket information record, ticket information record comprise other sign of one or more bar code information, activity name, movable date, seat identification, admission ticket holder name or current admission ticket holder, in the past admission ticket holder's name or other sign, admission ticket effectively/indication that whether invalid indication and/or admission ticket are used.Use activity database server 146 to provide visit to activity database as system's other parts.

[0089] is equipped with database example 148 to store one or more sellers' ticket sales rule.For example, about auction, sell rule and (for example can comprise the auction rule, by which quotation standard of paying of winning, when auction begins, when auction finishes), auction operator rule, quoter's eligibility criteria, the information of auction unit comprises description, lowest price (if any), lowest bid (if any), lowest bid increment (if any), highest quotation increment (if any), available quantity, the minimum number of the unit that the specific user can offer, the maximum quantity of the unit that the specific user can offer (if any), the date of corresponding units completion of an auction, current quotation, current quotation rank, relevant quoter's sign, the quotation ranking criteria, cell type, and/or similar information.

[0090] database 148, or other database, can store the information of selling (for example event ticket sale) about non-auction unit, presell Start Date for example, selected user is (as one or more appointment star-pursuing clubbites before the public can buy admission ticket, the season ticket holder, the holder of the financial instrument of some type is for example with appointment brand or the related credit card of issuer, often buy the user of admission ticket etc.) can buy admission ticket by schedule prices wherein, the presell Close Date, sell Start Date, the public can buy event ticket by schedule prices wherein, sell the Close Date, unit maximum quantity that the user can buy or the like.Sell about non-auction, wherein the price of some unit in the selling period adjustment (for example, during ticket sales, promote or the reduction ticket price, thereby improve gross income), database 148 can also be stored all or part of in the following message: the lowest element selling price, the highest unit selling price, increase minimum i.v. about the unit selling price, reduce the minimum value that reduces about the unit selling price, increase maximum i.v. about the unit selling price, reduce the maximum value that reduces about the unit selling price, price increases or reduces the date and/or the time of taking place, the restriction of unit price change number of times (for example between certain given period, price change was no more than once in per four hours, and per 24 hours price change are no more than once or the like).

[0091] can also be equipped with the investigation result that investigation and historical information database 149 are stored the user, as example, ticket price and/or seat, zone or the relevant investigation result of regional rank.In addition, database 149 (for example selectively comprises historical sales information, one or many each part of historical act or regional ticket sales speed, one or many each regional ticket sales total amount of historical act, the ticket sales speed of one or many each price range of historical act, ticket sales total amount of one or many each price range of historical act or the like).Database 149 can also comprise the cost data and the income data of reality/estimation.

[0092] (for example is equipped with master network system 150 with the storage quotation, the quotation of winning and the quotation of failure), movable, sale and auction (for example set up information, zone and seat information, quality information or ranking information), be quoter's seating allocation under the auction situation, and credit card is handled.

[0093] as example, ticketing system can enables users (" sellers ") be that a plurality of users sell (for example, representing he oneself or clientage) unit.Therefore, for example, sellers can be selectively as admission ticket publisher (for example artist, sports team, campaign owners or place), or the agency of admission ticket publisher, rather than the person of reselling.Therefore, sellers can be the ticket sales persons of primary market, rather than the secondary market person of reselling of potential shortage trust.Sellers also can be the persons of reselling, the secondary market person of reselling for example, and wherein sellers buy admission ticket from supply of tickets provider, primary market ticket sales person for example, and the admission ticket of reselling and buying to other people.

[0094] as example, ticketing system make sellers can by network simultaneously or in section sometime to a plurality of user's sales unit.Sellers can determine whether to force in element number maximum level and these two information of element number minimal level one or all selectively.As previously mentioned, these two information can be stored in the system database.For example, the element number maximum level can be set to a value that is lower than movable unit total quantity of selling.If these two values of element number maximum level and element number minimal level all have been set, can prevent that the element number of sellers' sale that the user buys is lower than any element number minimal level or is higher than any element number maximum level.

[0095] when determining the element number of buying, except above-mentioned minimum or maximum level, sellers can also provide the selection of multiple appointment for the user.For example, sellers only can to select to the user provides the quantity of buying the unit be even number, be the chance of the quantity of odd number or 5,7,8 or other decision.The same with the front description, quotation of before mentioning or purchase restriction or requirement can be stored in the computer-readable database.

[0096] ticketing system can be bought event ticket or be the qualification of event ticket or specified activities admission ticket combination Bidding according to specific user or other characteristic limitations potential user.Above-mentioned characteristic may comprise whether the user buys or register certain class members's qualification, and the user bought in the past that sellers or third party provide or the history of other project of selling, and (for example, the person of requesting for an offer is in a certain specific geographical area in user's inhabitation address; Belong to certain specific government organs, for example specific state, city, postcode; Or in the zone apart from the ad-hoc location certain distance, place or the like for example), and/or whether the user satisfies specific financial requirement.

[0097] as described below, said system (or other computer system) can with following message partly or entirely dynamically (for example, also change according to the situation admission fee that changes) and/or (for example, set admission fee once according to some parameter) statically and set admission fee.For example, can set admission fee according to following situation: needs, lowest fare restriction, the restriction of the highest admission fee and/or the at the appointed time at interval interior admission fee at the characteristic of the income of cost, reality and/or the prediction of historical sales data, current sales data/pattern, reality and/prediction, relevant vote buying colony, venue seat characteristic, packing venue seat changed the restriction above certain number of times ability.In addition, the admission ticket restriction (for example, the admission ticket maximum number quantitative limitation that unique user can be bought) can set selectively, thereby improve the quantity of selling the transaction of specific quantity seat, thereby the more opportunity collection data relevant with adjusting admission fee are provided and then adjust the admission ticket price.Also have, the contrast auction can be used the initial lowest bid of above-mentioned part or all of information setting, minimum bid increment and maximum quotation increment.

[0098] therefore, for example selectively, can use software model dynamically to set admission fee (one or more admission ticket).This software model part based on sell the residue stock serve as the basis maximization or improve the venue income and sales mode till current time or other fixed time or speed (for example, the ticket sales speed of each part, up to the present the ticket sales total amount of each part, the ticket sales speed of each Price Range, up to the present ticket sales total amount of each Price Range or the like) definite " market value ".

[0099] for example, during ticket sales, can generate and store one group of two-dimentional sales curve relevant with venue, performing artist or the like.The X-axis of curve is corresponding to time the start time of ticket sales (for example, with respect to).Y-axis can be sold the number percent (perhaps, selectively, can sell stock's the number percent of not selling) of stock's (for example seat ticket) corresponding to activity.Can sell the stock can be corresponding to distributing to the seat ticket that ticket sales person sells, rather than movable all seat tickets.In ticket sales in the future, can obtain one or more curves that generate before, and execution pattern coupling (for example, location and curve like the current ticket sales mode class).Based on current sales curve, system from before the event ticket marketed similarly or the curve of coupling, perhaps system attempt (by adjusting admission fee up and down) make current sales curve coupling or more be similar to before the sales curve of ticket sales.Phrase " coupling " is used for comprising that those satisfy the curve of pre-defined standard similarly, even match curve and incomplete same.

[0100] as example, as long as on detection of mate, perhaps on detection of with the difference of former sales curve, system mates with regard to attempting, and can take or trigger one or more operations that expection can influence ticket sales.

[0101] operation example of Chu Faing includes, but is not limited to influence the following operation of short-term and/or long-term gain:

-adjust ticket price up and down

-propagate to sellers' recommended advertisements

The seat that-distribution is unnecessary

[0102] alternatively, can analyze ticket sales curve current or before by hand, at least in part, for one or more sellers press recommendation order analysis strategy in the future.

[0103] alternatively, generation target or expection sales curve also are stored in the computer-readable memory, and the Dynamic Pricing process that operates in the ticket sales process is attempted by adjusting admission fee, distribution seat and/or using other technology to mate aim curve.

[0104] example of system's execution price process is considered following part or all of situation:

[0105] 1) passes through relatively every day sales mode and similar activity or other selected movable historical template, can estimate or determine activity need.For example, if the performance of certain specific actors is arranged in the activity of specific venue, can with respect to this performer in nearest a period of time (for example, past three months, six months, 1 year or 2 years) make comparisons at this venue and/or in the last time of the venue of similar market, similar size performance (for example, certain venue of certain city that has similar population composition).Therefore, for example, if a performer sells off in 24 hours at the ticket of the first city venue, this performer of system estimation also can sell off very soon at the ticket of the second city venue, and wherein the performer performs (or other selected time interval) in back 12 months in the performance in second city in first city.

[0106] 2) to small part based on these sales modes, can estimate the different fare basis (or under the situation of auction, different lowest bid ranks and/or different minimums/maximum quotation increment) to seating assignments or venue zone, the amount of seats that can sell before movable the beginning.For example, can estimate for first, low relatively admission fee that this corresponding admission ticket in venue zone may be sold off.Can estimate for second, high relatively admission fee, the admission ticket in this venue zone 66% may be sold.

[0107] 3) buys the total value of event ticket often above ticket sales total value (for example, being sold the summation of admission ticket face amount).For example, admission ticket be worth (for example) for venue management person, artist, sports team and/or other sellers may comprise from reduce the price, the per capita income of commodity, parking or the like, here per capita income is known as miscellaneous income.As example, the admission ticket of selling goods at a high figure relatively may have high relatively miscellaneous income, because the admission ticket buyer has high relatively income and relative many inputs arranged.In order to improve or (for example to maximize gross income, the summation of admission ticket total sales volume and miscellaneous income), with admission fee fixed enough low can be desirable by sale with the admission ticket that guarantees first quantity required better, even without the final value of the dollar of maximization ticket sales.

[0108] as more deep example, if specifies actors (or performance belongs to the multidigit performer of same type) is interbody spacer interior (for example a year) at a time, performed at a plurality of different venues, corresponding different admission fees is arranged, if a large amount of different sales modes are arranged, system can make inference: the difference of sales mode to small part owing to different admission fees.Therefore, for example, need specific sale speed or total sales volume, can be corresponding set admission fee with the activity of previous field or many sale speed likely or total sales volume in order to improve or to maximize gross income.

[0109] in example, computer system, for example above-mentioned ticketing system, automatic reception (for example from the database of response request or from another computer system) or manual information that receives (for example from operating personnel) about cost and/or income source.For example, cost information may comprise the part or all of of following message:

[0110] maintenance cost

[0111] employee/contracted worker's cost (for example, entrance guard, maintainer, reception waiter, ticket seller)

[0112] energy cost (for example, electric power, rock gas, coal or the like)

[0113] government expenses (for example, the fee of permit)

[0114] facility lease expenses (if movable leased facility)

[0115] equipment leasing expense

[0116] gives the guaranteed income of performing artist or other tissue

[0117] for example, income source can comprise following partly or entirely:

[0118] ticket sales

[0119] reduces the price

[0120] commodity

[0121] stops

[0122] advertisement

[0123] relevant with activity some costs and expense can be known before movable, and some costs and expense can be estimated or predict (accuracy rate or high or low).For example, facility and/or equipment leasing expense are possible known before activity, yet energy cost may be estimated.As more deep example, advertising income may be known (for example, because advertising income is fixed in one or more contracts) before movable, yet the commodity income may be estimated.

[0124] cost can be the cost of fixing, and cost may be relevant with venue or active volume, and cost can be owing to price-level, and/or cost may be relevant with the participant.As an illustration, about the cost of estate management, can be fixed cost in some instances, yet this cost be relevant with capacity or a certain fare basis to small part in other example.The income of some type has relevant compensation cost, and some income has less or do not have incremental cost (for example, service fee in some cases), or has and admission fee and participant's cost related.

[0125] ticketing system can be used cost relevant with activity and/or the increment that income is judged or admission ticket has been sold in prediction/estimation.Alternatively, in order to improve or to maximize income, whether system is at certain particular point in time or should improve or lower the fares according to following information judgement at interval sometime: sold the current real-time substantially information of admission ticket, compared to the daily sales mode of historical standard (comprise one or many selected before the marketing information of activity) and residual capacity (for example, the movable admission ticket of not selling of not selling admission ticket, one or several other activities is for example in specific venue particular show could person's many performances).For example, lowest fare or admission ticket lowest bid quantity can be set at selectively and be not less than the growth expense that has another participant.Selectively, lowest fare can be set to the summation of the relevant auxiliary income of another participant with buy admission ticket with this fare basis of being not less than the growth expense that has another participant and expection.

[0126] alternatively, can limit the raising and/or the reduction of admission fee, admission fee just can not improve or reduce above specific quantity like this.System can selectively, not be subjected to restrictedly to change any time admission fee, perhaps system's frequency that can improve or reduce by the software limitations admission fee (for example, once a day, weekly, biweekly or the like), and when restriction adjusts first admission fee.Alternatively, when the movable date closed on, system can change admission fee more continually.For example, along with closing on of movable date,, can lower the fares more continually if the admission ticket of some or number percent is not also sold.As example, stock's admission ticket can be sold by first price at first, up to movable date specified number of days of distance or time period.If stock's admission ticket of particular percentile is not also sold (for example, venue all or particular seat kind), then begin fare changes, wherein close on the movable date more, admission fee is low more.

[0127] example of management activity income below will be described.For example, can use yield management process and technology, by a movable income and/or a raising miscellaneous income that improves ticket sales.But, also can use different or amended technology and parameter.

The short-term yield management

[0128] process example described herein can be used for the short-term yield management, for example by adjust admission fee and capacity at movable selling period and/or before the common sale period.For example, can carry out real-time fare changes or seating allocation.Can be selectively adjust admission fee based on following information to small part: the characteristic of admission ticket purchasing group (for example, the patience of the purchase admission ticket of group size, income, expectation or the estimation of relevant admission ticket purchasing group, may cause that the Reference Group that estimates number percent does not buy the admission fee of admission ticket, may cause that the Reference Group that estimates number percent buys admission fee of an admission ticket or an extra ticket sheet or the like), venue (for example constitutes, the quantity of seating area and type, and/or the capacity of the quantity of fare basis and each fare basis).Capacity be can between fare basis, dynamically adjust, thereby income and/or profit improved.

A. Buy the colony of admission ticket

[0129] in this example, suppose that the colony of the purchase admission ticket of specific activities comprises different groups or kind, their purchasing model is to the purpose of small part based on disposable income and their participation activity.Therefore, can use the different inferior admission fee tolerances that distribute of potential admission ticket buyer to estimate the demand of different fare basis and set admission fee.Be the example sample group that possible comprise the spectators that participate in baseball activity (or other activity, for example concert) below, though also can use other group and group characteristics to baseball activity or other Activity Type:

Show off type: the purpose of these people's participation activities is not to enjoy this activity, but wants to be seen by other people at site of activity.They are ready to spend the great number additional cost and buy best seat, and they do not have other idea except good seat.

Booming income star fan: these people are very interested in activity, and have method (for example, contrast is taken in, and these people belong to the scope of purchasing group preceding 10%, 5%, 3%, 1%, 0.5% or other selected number percent) to buy expensive seat.They are reluctant to mean high that odd admission fee is checked, and are ready to accept the seat of fair average quality.

Medium income star fan: (for example, income is between booming income star fan and low income star fan) these people are very interested in activity, but can't buy the high price admission ticket.They are ready to accept the seat of normal quality.

Low income star fan: this group is similar with medium income group, but the ability of buying medium admission fee seat is more limited (for example, contrast income, these people belong to after the purchasing group 40%, 30%, 20%, 10%, 5%, 3%, 1%, 0.5% or the scope of other selected number percent).

Group towards social activity: this group (be known as sometimes " party animal ") is very interested in the social activity relevant with activity, to movable itself not too big interest or just have no stomach at all.Therefore they wish to buy cheapest seat in the high price seat, away from the public.

The middle man: the member of this group loses interest in to participating in activity, but attempt by to medium income or more the individual of the booming income high-quality seat of reselling obtain income.

1. Group size and market poor efficiency

[0130] for yield management, for example short-term yield management, alternatively, suppose that group size (for example, potential maybe may be to the interested consumer of activity colony) roughly fix, and relevant with activity characteristic (for example, artist, venue, date, time and/or other activity characteristic).The change of admission fee may have influence on the demand that the individual is ready to buy the admission ticket number.Other example can consider that group size can change.When setting admission fee, may consider other factors; for example in 1 year when; weather; for example temperature, rainfall amount, snowfall, humidity are (for example; the weather of ticket sales or weather, current weather and/or expection in the movable preceding time period); current and/or the expection economic condition (for example; whether whether consumer confidence, economy press trend that special speed increases, the consumer spends for amusement or the like in decline, economy); and/or the generation of nature or human-made disasters (for example, earthquake, extensive big flood, extensive fire, tsunami, the act of terrorism).

2. Group of colony parameter

[0131] for the modeling example, the sub-group properties of each colony can be represented with a series of parameter.Be example of parameters below, one or more can be used for model:

[0132] U: estimate total size to the interested colony of activity

[0133] p: colony's ratio.Be defined as the number of the individuality divided by parameter U in the group.

(?): patient parameter.This parametric description or because admission fee is too high, perhaps because capacity temporarily unavailable (for example can by inquiry and/or check historical ticket sales information judge) causes Fail Transaction, the individual attempts the possibility of another transaction.In order to improve the efficient of judgement, suppose the passing of adhering to the time, patient parameter is how much level decay, though attenuation process can suitably be used.Therefore, the parameter of attempting is λ for the second time, and the parameter of Chang Shiing is (λ λ) for the third time.Other attenuation equation formula also can be used.

(?): admission ticket quantity growth parameter.Suppose that most individual can buy the admission ticket that pre-determines quantity among the application group.If admission fee is higher than certain max-thresholds, they can not buy admission ticket.If perhaps admission fee is significantly less than this max-thresholds, they can increase the admission ticket quantity purchase.Parameter ((? )) describe as max-thresholds number percent, will or have and make every effort to promote the admission fee that makes the individual increase a ticket sheet (though the individual also can select not buy this ticket sheet) to order.In order to improve definite efficient of mentioning here, supposing if admission fee is lower than threshold value (α α) times user to increase by a ticket sheet to order, though may not be this situation in practical operation.Alternatively, therefore the activity because a lot of people is unwilling to participate in alone can be supposed most of users or do not buy tickets, or buys two tickets at least.Therefore, if expectation or supposition admission fee be reduced to be lower than threshold value (α α) doubly, the user can increase by the 3rd ticket sheet to order.

Region parameter

[0134] for each venue zone, each group has one group of different purchase parameters.

[0135] t: the admission ticket number in the order.

[0136] m: estimate that the individual is willing to mean the highest admission fee of buying certain regional admission ticket payment.In example, parameter m distributes by lognormal probability and defines.

$\left\{\begin{array}{cc}\frac{1}{\sqrt{2\mathrm{\&pi;}}\mathrm{\&sigma;x}}{e}^{-\frac{1}{2{\mathrm{\&sigma;}}^2}{[\ln \left(x\right)-\mathrm{\&mu;}]}^2}& x>=0\\ 0& x<0\end{array}\right\}$

[0137] distribution of Yu Jiing is basic as follows: although logic allows, but the negative admission fee is practical hardly, can select in this model, not consider for such activity, though other model may be considered the amount of money of individual participation activity cost and spend relation between the different amount of money participation activity possibilities (do like this can help filling activity venue or as prize or bonus).In this example, selectively the supposition individual compares the subjectivity of two kinds of admission fees, compared to absolute difference, more is ordered about by percent difference.For example, compared to the ticket price of 5 dollars of denominations is increased by 10 to dollar, the ticket price of 5 dollars of denominations is increased to 600 dollars does not have much meanings (for example, unlikely influencing purchase decision).Yet other model may consider that for the individual, absolute difference is the same with percent difference important or more important.

[0138] can select by fetching model data or the manual input model data access of user model data from database or other data storage medium.Model data may comprise the medium admission fee (or other statistical value, for example average fare) in this distribution and estimate that the potential admission ticket buyer's about 75% (or other prescribed percentage) of meeting obstruction designated body or kind individual buys the admission fee threshold value of admission ticket.About can obtaining from historical results about the investigation of this threshold value admission fee and/or the ticket sales of different price site to hindering the estimation that potential admission ticket buyer buys the threshold value admission fee of admission ticket.

[0139] Fig. 4 has shown the example of estimating to the population distribution of certain specific activities or Activity Type.At various potential buyer's types, for different seating areas or seat kind (for example, seat kind 1, seat kind 2, seat kind 3, seat kind 4) provide following message: the estimated value of representing whole relevant potential buyer colony number percent about this buyer's type; The patient parameter of estimating; The buyer who estimates is ready the medium admission fee paid; The admission fee threshold value of estimating; When admission fee during, estimate that general potential buyer's type is ready the admission ticket number bought at corresponding medium-priced.In this example, some potential buyer's type for example " is shown off type " or the admission ticket middle man can not be interested in the seat of relative mistake/cheap, for example belongs to the seat of seat kind 3 and seat kind 4, even admission fee is 0.The potential buyer of other type, for example medium income, low income and make earnest efforts social star fan and when admission fee reduces, may buy more admission ticket.Fig. 5 with graphic presentation estimate to buy potential consumer's number of specific potential buyer's type of a specific price, specific venue zone admission ticket.

B. Venue

1. The zone

[0140] can consider the non-ticketing venue of admission fee activity that generally needs is divided into several regions.Determine that these regional boundaries can be by regional physical separation (for example, corridor or venue level), to the congenital needs at seat (for example, row, the central row seat of front-seat, stage back, block the seat of sight line etc.) determine, selectively by inquiry, experience and/or intuition or other seat attribute determine this boundary.From the angle of short-term yield management, these " separation " provide one to distinguish the seat by being worth, collect the chance that demand information and the person of boosting consumption make purchase decision.Therefore, for example, can dynamically set different prices for different venue zones.In addition, frequency that changes with the corresponding ticket price in corresponding different venues zone and/or number percent or dollar quantity are possible different.

2. The admission ticket restriction

[0141] venue or other sellers also can carry out the admission ticket restriction according to the zone.Admission ticket restriction limits the maximum number that certain consumer (for example, by user identifier, password, addresses of items of mail, billing address, credit card number, bank account number or the like sign) can buy specific activities or many event ticket.Can use these restrictions to guarantee the fair access at the measured seat of confrontation selectively, prevent that particular groups (for example, ox party) is for the best seat of purpose monopolization of reselling.

[0142] the yield management analysis can comprise the admission ticket restriction.For example, little admission ticket restriction has increased fills the required transaction number in venue zone, has created the chance of more adjustment admission fee and collection data.Therefore, for example, admission ticket can be set limit the chance that improves the adjustment admission fee or collect data.Equally, admission ticket restriction can force the consumer to reduce to wish the order size that obtains or select different venue zones to finish bigger order.Therefore, for example, different venue zones may be related with different admission ticket restrictions.As an illustration, restriction can be set at 2 or 4 to the admission ticket of better relatively zone (for example, seats for distinguished guests), and can be set at 8 or 12 to the admission ticket restriction in undesirable relatively zone.In addition, can allow single buyer to buy the admission ticket that two or more regional admission tickets limit the number at most.For example, can allow certain buyer to buy maximum 12 ticket sheets, comprise maximum 4 ticket sheets of first area and maximum 8 ticket sheets of second area.In example, restriction can comprise two or more performances to certain performing artist's admission ticket.For example, the admission ticket restriction can limit the buyer and can only buy two (or other quantity) performance, 8 ticket sheets altogether.Therefore, the buyer can buy 6 ticket sheets of first performance of certain performing artist and 2 ticket sheets of second performance of this performing artist, 8 ticket sheets altogether.

3. Lowest fare

[0143] Dynamic Pricing process example is considered the minimum admission fee that venue (or other sellers) carries out (for example, the regional admission ticket of venue be lower than designated price do not sell).Can set lowest fare because of multiple reason, for example not open the precedent of low-priced tickets, do not make performing artist's embarrassment and/or guarantee that admission fee (or specified portions wherein) is enough to the incremental cost that the unnecessary movable participant of Zhi Fuyu is correlated with.

[0144] as example, the economic model that the advertising person uses ensures to the certain income of performing artist sometimes.Set too low price if Dynamic Pricing is each seat admission fee, activity can not produce enough incomes and pay above-mentioned guaranteed income.Usually, use the cost of management of admission fee specific part payment facility and operation, for example air-conditioning and estate management.Selectively set admission fee, admission fee is maintained or be higher than lowest threshold, thereby pay these costs.

4. The highest admission fee

[0145] in dynamic pricing models, venue (or other sellers) may be carried out the highest admission fee for the specific region admission ticket.Cognitive yearning may cause these restrictions to the public to fair access (for example not only having only the talent as rich as Croesus to afford event ticket).This highest admission fee restriction can be used for limiting or limit the admission fee by the Dynamic Pricing process setting.

5. Discounting admission fee and admission ticket type

[0146] sellers' (for example, venue and/or activity) can be according to consumer type (for example, child, the elderly, student) or because special promotion distribution discounting admission ticket.Selectively, these event ticket can be got rid of outside the Dynamic Pricing scope, though also can select to carry out Dynamic Pricing.What in addition, can dynamically change according to the part or all of factor that is used to set admission fee particular consumer type discount.

6. The adjacent seat problem

[0147] when distributing particular seat, can there be the adjacent seat problem for the admission ticket buyer.When certain row seat admission ticket was sold off, order may need to transfer to the worse delegation in seat, because do not have abundant adjacent seat at current line.The Dynamic Pricing process can selectively be considered this influence according to long-term data of collecting.

[0148] for example, the adjacent seat problem provides chance for the optimization of another kind of form.Alternatively, at conventional selling period, ticketing system is attempted in certain specified moment to the consumer offers the best (for example rank is the highest, or rank is the highest in admission ticket group of asking or venue zone), seat available, that finish order (considering the amount of seats of particular consumer request).Single seat is left in the zone that end that this can be expert at or former order are quit the subscription of.Because the demand to single seat is low relatively, these single seats need some times just can sell usually, also might can not sell at all.Therefore, even, can not satisfy some to buying the interested consumer of this zone adjacent seats specifying the venue zone to also have unsold seat.The short-term yield management process selectively allows order is sorted, thus the possibility that provides compacter seat to pack.This packing may provide high relatively income.

[0149] for example, if the quantity of the corresponding admission ticket of the low quotation of rank satisfies one of following two kinds of situations or whole, then the admission ticket rank of distributing for the lower quotation of rank can be higher than the admission ticket of distributing to the higher quotation of rank: the seat of the admission ticket correspondence of (a) selling in guaranteeing buyer's particular transaction is that (unless buyer require seat non-conterminous) that link to each other simultaneously, can sell the admission ticket of the seat correspondence of all (or most of) identical adjacent domains; (b) seat of guaranteeing the admission ticket correspondence sold in buyer's particular transaction be (unless buyer require seat non-conterminous) that link to each other simultaneously, increase relatively or total total value of the dollar of maximization ticket sales and/or miscellaneous income.

[0150] alternatively, when attempt reducing single amount of seats, still can for the lower price admission ticket (for example, admission ticket with relative price or auction quotation sale) distributes some seats, the rank at these seats is lower than the rank at the corresponding seat of selling with the higher price quotation of higher rank (or give) of admission ticket in auction, even can cause the admission ticket of some seat correspondences not sell.

7. The other income source

[0151] as mentioned above, in some instances,, may also have the other income source for venue except the admission ticket income.Normally, reduce the price and the merchandise sales meeting accounts for the very big proportion of ultimate yield.Therefore, some short-term yield management algorithms and process can be selected taking the part that capacity is regarded income as.Therefore, for example, can set admission fee and improve the quantity of selling admission ticket, even selected ticket price can not maximize the income of ticket sales.Alternatively, set admission fee, thereby improve or the expection gross income or the gross profit of maximization ticket sales and auxiliary sale the (for example, reduce the price, commodity, parking or the like) combination.

[0152], sets and adjust admission fee and can be used as linear programming problem as example but do not limit.Well-known in this technical field, can use linear programming and correlated variables in optimization arithmetically or selection admission fee.Linear programming problem generally is an optimization problem, and wherein objective function (for example, gross income maximization or total ticket sales volume maximization) and restriction (ticket sales and miscellaneous income reduce or reduce the admission fee threshold value that surpasses some) are linear.In example, except optimizing ticket sales or filing seat, also carry out income optimization, thereby improve or maximize the gross income and the miscellaneous income of venue, activity/promotion side, performing artist and/or other ticket sales entity, even miscellaneous income is entity rather than ticket sales person's a result.

8. The venue parameter

[0153] example of venue parameter may comprise the part or all of of following parameters:

C: each venue zone capacity corresponding of ticket sales

L: each regional admission ticket restriction

I: the lowest fare that each zone allows

A: the highest admission fee that each zone allows

O: adjacent seat influence.The income that the measurement factor multiply by the model generation provides near the income of observing in practical operation.For example, measuring the factor may be relevant to the par at the seat of specific stock's request with prospective consumers.This quantity can obtain according to following message: marketing model and/or from same artist or venue and/or similarly sell the historical data that (for example, the similarly request of population statistics and/or special edition/song/ticket sales) obtain before artistical.

n _f: the fixed cost at each seat outside admission fee or income.

n _v: variable cost or the income of representing with admission fee number percent in each seat.

[0154] as example, admission fee influences the average amount of seats of consumer's request.The average amount of seats of consumer's request influences the packing efficient (for example, remain how many isolated seats, at the admission ticket request, system can't find seat conceivable, that connect together in delegation) at seat.In some instances, the desirable income in zone is to sell all seats.When packing efficient reduced, income can reduce usually, because unsold seat is arranged.Between admission fee and packing efficient, there is measurable relation.Along with the fluctuating of admission fee, the quantity of not selling admission ticket also more or less.Therefore, have some threshold values, the admission fee that is in threshold value changes (going up or drop) can cause that more multi-door ticket can't sell, and causes the admission ticket income to reduce.Therefore sell and have balance between the quantity of admission ticket setting admission fee and raising.Cheap admission ticket may cause reducing admission ticket always to be sold, even may sell more admission ticket.Can only ask or buy the admission ticket of relative zonule correspondence with the buyer if raise the admission fee, or stop the admission ticket of buying big zone correspondence that profit may be arranged, and the value of the dollar of ticket sales may be higher.

[0155] admission fee is the decisive indication of the adjacent seat par that may ask of consumer.Therefore, if admission fee is higher relatively, the buyer can tend to buy the admission ticket at seat, smaller area territory, by pack house more effectively, more easily reduces the quantity at isolated seat, therefore improves income.If consumer's purchasing model does not mate the purchasing model of estimating fully, to small part based on real-time sales data, can dynamically adjust (for example, admission fee in real time), thus obtain to want the income that obtains and/or reduce the average or median size of the seating area that the consumer buys.

C. Distribute channel

[0156] admission ticket of selling by the example ticketing system can selectively be distributed by one or more channels, for example: ticket sales solid shop/brick and mortar store, phone, ticket office, the Internet, interactive television and voice response unit.The specific channel of distributing has one group of characteristic that is associated, may be very important from these characteristics of angle of yield management.

1. Abandon rate

[0157] A, σ _A: the consumer is willing to the average duration that is intended to wait in the formation and the measured value of standard deviation duration before decision is abandoned buying admission ticket, though can use other statistical measures.By suitable message, this parameter may be changed at specific channel.Abandon rate to small part based on the history of different messages and can estimate to abandon rate.

[0158] for example, control be in admission ticket associated queue in (for example, required time before consumer's admission ticket request or admission ticket information request are serviced) message or notice can influence the formation abandonment rate the relevant stand-by period of the estimation that offers the user.As example, when request when serviced, whether available system can judge the seat of user's admission ticket request correspondence (for example, whether available system can judge with the seat of the quality and quantity coupling of request seat ticket).

[0159] as example, if notice estimated time of providing is inaccurate, underestimated the formation stand-by period, the consumer may feel failure, probably abandons their position in formation (for example, by navigate to different webpages, by closing browser or other).For example, if be resolution with the second estimated time that notice provides, might be at the formation waiting time, first notice may provide the notice of 90 second stand-by period, and second notice afterwards may provide the longer stand-by period (96 seconds).The factor that the queue processing system processing speed is reduced may cause the growth (for example, if technical matters causes the interim reduction of handling capacity) of time.If not so, but the wait that notice provides is rounded off estimated time up or down immediate minute (or two fens kind or three minutes), the stand-by period that then is shown to the consumer unlikely changes, therefore consumer's feeling of failure may be lacked, and unlikely abandons their position in formation.

[0160] alternatively, the estimation of stand-by period can be " being lower than " form (for example, " stand-by period is lower than [specified time interval] "), and wherein the fixed time of Xuan Zeing makes that at interval consumer's request is probably serviced before the time interval stops.For example, can make the request meeting of the preceding consumer 90%, 95% of time interval termination or at least 99% serviced at interval by select time.

[0161] in addition, if do not provide about expecting the time estimation of latency period to the consumer, in some instances, and for example when formation is moderate-length (for example, 45 to 60 seconds), abandonment rate may improve.In some other example, if do not provide the time to estimate, for example when formation is longer (for example, 3 to 4 minutes), abandonment rate may lower.In other example, for example (for example, be less than 10 seconds or be less than 20 seconds) more in short-term when formation, there is the not free estimation may be little to the influence of abandonment rate.

[0162] alternatively, if the position of consumer in admission ticket purchase formation (for example, according to judge or estimate the consumer in formation the position or relative position, learn the rear end of consumer's position in formation) make when the request that needs only the consumer is serviced, can not there be available admission ticket to satisfy consumer's admission ticket request, can so notifies the consumer.If available, system can notify the consumer interested standby performance (for example, the performing artist additionally performs, as the time/date of concert, drama, sports or film) that should activity.Alternatively, can provide one or more links for these standby performances, when these links of consumer activated, can cause admission ticket to select and/or buy to handle (for example to be initialised, can provide the interface that can select to expect ticket price kind/zone to the consumer, whether system can notify these admission tickets of consumer available.If available, the consumer can buy these admission tickets).Alternatively, want to buy the activity of admission ticket and/or the purchase history in consumer's past at first, can also notify their possibilities of consumer interested other activity by webpage or alternate manner according to the consumer.

[0163] in example, system uses to unite to filter automatically and generates about prediction or the inference of consumer to other activity interest.Prediction can all or part of admission ticket purchase activity based on other consumer, the same admission ticket of buying the performing artist/activity relevant with initial active of these consumers.Recommending also can be based on other consumer's admission ticket purchase activity, other consumer's interest (for example, the activity rank that provides by online investigation or consumer shows) be similarly (for example,, to like same music to those consumers' interest if activity is concert; Like the drama of same-type).

[0164] therefore, can for relevant activity (for example, same performing artist's activity) or the ticket sales website manually or automatically select the notice (for example, whether provide accuracy that time estimation, time estimated resolution, time estimate, whether show as long as consumer's admission ticket request has the information of the possibility of suitable available admission ticket when serviced for the user provides, or the like), reduce or improve abandonment rate, improve or optimize ticket sales volume and/or movable income.Can before event ticket is sold beginning, select, and can change selection selectively at selling period at real-time condition (for example, queue length).As example, the admission ticket request of certain user in formation can not be met, and the abandonment rate that improves these users is favourable, encourages these users to buy other movable admission ticket.

2. Transaction rate

[0165] T, σ _T: for each distributes average duration or the standard deviation duration that channel is finished a transaction cost, though can use other statistical measures.

3. Simultaneous transaction

[0166] P: each distributes the simultaneous number of transaction that channel can be supported.

4. Abandon seat number percent

[0167] S: the consumer (for example Cancels Transaction, present one or available in-seat for the consumer after, those seats of presenting to the consumer are current available best seats), the possibility (" abandoning seat number percent ") of attempting buying another transaction at better seat.Alternatively, this parameter is the Internet and be not other channel definition to abandon number percent because other channel has low relatively seat.Yet, also can define this parameter for one or more other channels.

5. Be in the seat in transition period

[0168] in the yield management process, though do not require, in conjunction with the transaction, the transaction rate that take place, to abandon seat number percent be useful.When the ticketing service system provides specific house seat to sell for particular consumer, these seats can (for example keep or keep a predetermined time interval selectively, one minute, two minutes, three minutes or the like), before this consumer abandons these admission tickets, these admission tickets are disabled (for example, the consumer fail to finish purchase-transaction in the predetermined time period) to other consumer.This has in a period of time and reduces on-hand influence, and for example a few minutes, it can influence the price adjustment decision.

[0169] therefore, the seat that is in transition period comprises requested seat and arranges the consumer to hold but also be not sold to consumer's admission ticket.The existence hint at seat in an interim state has the consumer interested in the present price at these seats.Therefore Here it is to one a group of price demand of appointment and a good measurement of acceptance indication.

[0170] learns that people are very interested in present price, the seat of request present price to small part confirms that current price is not highly fixed, may indicate the space that admission fee adjusts upward in addition.Alternatively, system can raise the admission fee by relatively little increased percentage (for example, 2%, 5%, 10%), and the number percent that can sell the stock until the seat that is in transition period and all is reduced to undesirable value.

[0171] in addition, how many people's decisions contrast has do not buy admission ticket in an interim state, that be requested the seat correspondence, can follow the tracks of abandoning number percent.Be higher than specific or specified threshold value if be in the number percent of abandoning at seat in transition period, this can provide reliable indication, shows admission fee Ding Detaigao.And can use and abandon number percent and make the decision of reducing the price.

6. Selling cost

[0172] C _s: the consumer uses the cost (if any) of each second of certain channel (or section) At All Other Times.For example, some channel as phone, has and keeps consumer's relevant cost in formation.

[0173] C _T: by the cost of the every ticket sheet of certain channel sales.

7. List or give an extra performance (Rolls)

[0174] promoter or other entity may determine to increasing an extra activity in areal (for example, same city, small towns, in the certain limit of original venue or the like), exposing of identical or different venue performing artist.May make the decision that increases an extra activity according to the demand that previous hotlist reveals.Alternatively, optimizing process can be set admission fee in order to avoid demand reduction in a large number, and information accurately is provided, and can make list advisably or give an extra performance (roll) decision.

8. The observability of venue data

[0175], can provide information for the consumer about each regional seat quality in order to make the consumer make well-informed purchase decision.For example, each seat or zone can be provided as the rank that the user shows (for example, by webpage or alternate manner).Rank can be according to potential buyer's investigation (for example, grading) and/or objective fact (for example, the distance in seat distances stage or performance zone, seat whether in the dead ahead in stage or performance zone or certain on one side, whether the seat be clogged to the sight line in performance zone or do not block sight line).The form of rank can be the rank of digital rank, star rank, literal rank, color coding rank or other form of expression.Alternatively, the seat that the user can ask particular rank (for example, have specified rank the seat, have specified rank or higher rank the seat, seat of specified rank or lower rank or the like is arranged) in demonstration, be highlighted demonstration (for example, showing or the like) with the demonstration of designated color code, black display, flicker.Alternatively, can provide observability for different user to this information different stage.For example, alternatively, can provide the seat rank for the user of login system account number, and not provide the seat rank for other user.

9. The observability of consumer demand

[0176] each channel can be relevant for the different attribute of collecting user's request information.Some channels, for example the Internet has very high interactivity, and the user can import the admission ticket hobby more like a cork by it.Other channel, voice response unit for example, a part of selectively only collecting user preferences in the particular transaction is in order to avoid excessively increase burden for user and/or voice response unit.

[0177] form shows below be adopt ten point system distribute the relative rank example of channel, the poor or minimum rank of 1 expression (these ranks may change in time and change or because of dissimilar activities different).

Measure	The ticket sales solid shop/brick and mortar store	Telemarketing	Ticket office	The Internet	Voice response
						Abandon percentage
	1	?6	?1	?10	?6

Ratio
						Transaction number percent	1	?10	?2	?7	?9
Simultaneous transaction	5	?3	?10	?1	?3
						Abandon seat number percent	1	?1	?1	?10	?1
The CS selling cost	2	?10	?1	?1	?10
						The CT transaction cost	6	?10	?1	?3	?10
The venue observability	7	?6	?4	?1	?10
						The user's request observability	8	?6	?3	?1	?10

[0178] alternatively, can use and distribute the channel rank as weighting factor.For example, weighting factor can be used in price equation and process weighting or revises other variable.As example, to small part based on the Internet channel rank, abandon number percent compared to phone, more heavily the online number percent of abandoning of weighting.

[0179] alternatively, rank can represent with number percent or classification factor, with channel admission fee is set or other equation in the contribution of variate-value and number percent or classification factor multiply each other.For example, the numerical range of rank can be 0% to 100% or 0.1 to 1.0.

[0180] as example, suppose that the phone rank is 0.2, the transaction rate that phone is distributed channel is 10 transaction of per minute.If add up to the transaction rate of all channels, the weighted contributions that phone is distributed channel is 2 of per minutes (0.2*10).Therefore, total transaction rate can be calculated with following formula:

[0181] total transaction rate is r ₁TicketOutlets, r ₂PhoneSales, r ₃BoxOffice, r ₄Intetrnet and r ₅The summation of VoiceResponse.

[0182] wherein:

[0183] r ₁It is the rank that ticket sales outlet distributes channel

[0184] r ₂It is the rank that channel is distributed in telemarketing

[0185] r ₃It is the rank that channel is distributed in ticket office

[0186] r ₄It is the rank that channel is distributed in the Internet (online)

[0187] r ₅It is the rank that voice response unit is distributed channel

[0188] for example, the raising of sale admission fee may be relevant with total transaction rate of weighting or weighted mean transaction rate.

II Pricing algorithm

[0189] can use one or more pricing algorithms or processing procedure.For example, as example:

[0190] specifies static admission fee according to historical data

[0191] the presell algorithm that sorts for the early stage customer quote of ticket sales

[0192] adjusts the selling time algorithm of admission fee in real time

Pre-sell (classification venue)

[0193] contrast admission ticket auction, in example, the pre-admission ticket quotation classification venue of selling according to the user (scale the house) of admission ticket.This kind can have one or more subclasses, and each subclass has identical variable.For example have three subclasses, each has three variablees, forms the matrix of a 9*9, though can use still less, extra or different subclasses and variable.

[0194] subclass:

Disposable classification venue

Olympic Games classification venue

The Olympic Games classification venue of desiring to make money or profit

[0195] variable:

One deck

Layering

Continuous

1. Disposable classification venue

[0196] in the method, the user carries out single quotation, the price of a certain zone, admission ticket number and every ticket sheet in this quotation form light field shop.For example, zone 1,2 ticket sheets, every ticket sheet are 100 dollars.

[0197] algorithm sorts from high to low to related bid, and begins seating assignments successively from highest quotation, up to filling up the zone or accepting all quotations.

2. Olympic Games classification venue

[0198] in the method, the mode of selling with Olympic Games event ticket is named.The user offers, and comprises price and admission ticket quantity to every ticket sheet of each zone or venue inner region subclass.For example, zone 1,100 dollars of every ticket sheets, 3 ticket sheets; Zone 2,50 dollars of every ticket sheets, 4 ticket sheets; Zone 3,0 dollar of every ticket sheet, 0 ticket sheet.

[0199] quotation at best regional seat is sorted from high to low, and begin seating assignments, up to filling up zone or acceptance all quotations to this zone from highest quotation.The seat that this zone is assigned to the user removes from the quotation pond, and this process is repeated in another zone.Repeat this process, to the last the seat in a zone is designated.

3. The Olympic Games classification venue of desiring to make money or profit

[0200] in the method, as Olympic Games classification venue acceptance of offer.Yet the foundation of algorithm seating assignments is not a highest quotation, but expense outside the maximum amount that each quoter is ready to pay.As example:

[0201] each user compares quotation and this regional average price in each zone, and the difference between above-mentioned two quotations is regarded as the user and is ready the extra cost paid.For example:

	Average price	User A quotation	User A extra cost	User B quotation	User B extra cost
						Zone
1	250 dollars	300 dollars	50 dollars	250 dollars	0 dollar
						Zone
2	50 dollars	200 dollars	150 dollars	40 dollars	-10 dollars

[0202] in this example, to the seat in the zone 1, the quotation of user A is higher than the quotation of user B; Yet because be according to the extra cost seating assignments, user A may obtain the seat in zone 2, and user B may obtain the seat in zone 1.

4. Variable

[0203] the variable example to each presell subclass comprises:

[0204] one deck: the admission fee of all users' payments in certain zone is this regional lowest bid.

[0205] layering: each zone is subdivided into predetermined layer.The admission fee of all user's payments of each layer is the lowest bid of this layer.

[0206] continuous: the user is by his quotation payment.

[0207] contrast Fig. 7, shown income influence to different subclasses and variable estimation, with respect to other method, the continuous variable of the Olympic Games classification venue method of desiring to make money or profit can maximize income, though when the user finds the method to specific activities, Activity Type or all movable unfairnesses, can use other method.Therefore, for example, in some instances, can select one deck variable of disposable method.

B. Selling time

[0208] the selling time method is adjusted admission fee in real time.Three subcategorys are arranged in this kind:

● the price decay

● simultaneous border is out of stock

● Market maker or Market maker (Market maker)

1. The price decay

[0209] utilizes this method, the very high and sale of admission ticket price.By the predetermined time interval, admission fee reduces and continues sells, up to reaching lowest fare or selling all admission tickets off.

2. Simultaneous border is out of stock

[0210] information of buyer's quantity of admission ticket chance is bought in this method utilization on the net about potential waiting in line.The admission fee of venue All Ranges all rapid adjustment to guarantee following result: sell off when all users attempt buying admission ticket in all (or selected) zones.

[0211] alternatively, specific ticket price can be based on the admission ticket market value of estimating.For example, know the user under the condition of following admission fee and current best available in-seat (for example, whole venue or by best available in-seat in certain venue zone of potential buyer's appointment), can be according to the purchase decision ticket price of user in specific price.System can be chosen under one or more following conditions and turn round:

[0212] 1) the standard face amount of admission ticket generally is lower than popular movable free market price.

[0213] 2) subscriber-related in the foreknowledge of admission ticket general " very " value or sensation value, generally can not pay the price that is higher than this value.

[0214] 3) in dynamic environment, in order to buy the admission ticket of the best or preferred location before other users, the useful price near their anticipation value of user is bought the motivation at their interested seat as early as possible.

[0215] as an illustration, example can in the section sold the admission ticket of activity or zone of action (for example, comprising one or more seats, several capable seat, other seat combination) sometime with specific price.For example, the user can visit the website that ticketing system is supported.The user can search for or ask the information about activity.System can make user interface be presented on one or more user terminals (for example, transmitting webpage to browser by ticketing system), is apprised of one or more prices of current admission ticket (for example, to the seat of specific region or kind by the user interface user; Perhaps to generally needing the activity of admission fee, current general admission charge), when can lower the fares, and/or All Ranges and/or current best available in-seat in the appointed area.

[0216] as more deep example, user interface can comprise that time that admission fee next time reduces (for example, " admission fee is reduced to 200 dollars and will occurs on April 1st, 2005 next time "), the timetable that the admission fee discount perhaps is provided (for example, " will be reduced to 200 dollars to admission fee on April 1st, 2005 will take place next time; next will be reduced to 150 dollars to admission fee April 15, will be reduced to 90 dollars to admission fee April 30 at last ").Have obtain higher-quality seat or by the time admission fee be reduced to the opportunity that the available in-seat quality may be relatively poor, the user can be chosen in current price and buy.This process can repeat to sell off up to retractable seat (or one group of selected retractable seat) selectively, or alternatively, reaches predetermined lowest fare (for example, face amount) threshold value up to admission fee.

[0217] Fig. 6 has shown the example of user interface.The example of user interface has been listed the time of admission fee, the price reduction next time of activity name, movable date, current available best seat, current correspondence, the restricted number of this event ticket that unique user can buy.

[0218] as example, what the time of price reduction, speed and/or quantity can be based on following conditions is one or more:

[0219] 1, the venue quantity that can sell the seat

The ticket sales history of [0220] 2, comparable activity (for example, the activity of artist's participation of current active being arranged) (for example, admission fee, admission fee is sold speed or the like)

[0221] 3, the movable time that begins to be left of distance

[0222] 4, the speed of event ticket sale

[0223] 5, current and/or admission ticket request before

[0224] therefore, the price-setting process example makes the seat of selecting quantity in advance start selling from predefined additional cost or by the high relatively admission fee of venue, kinetic art man/performing artist and/or the decision of ticketing system operator.Admission fee at the appointed time reduces in the variation ratio that increases in the frame, thereby gives selection of consumer, is to buy admission ticket immediately or take a risk to wait for, wherein may be lower in the waiting time admission fee, but available admission ticket quality may be lower.The admission ticket availability and the pricing information of presenting to the user roughly are real-time, so the user can know what is current available.In addition, the variable in this process can be selected real-time adjustment, and it changes roughly performance immediately.As example, ticket sales person/ticket sales operator can be chosen as basic expense or the fixed expense that certain percentage is imposed in ticket sales.

[0225] alternatively, during sale or auction, if single (rather than two or more) unsold seat is arranged at the end of delegation, perhaps all sell at the single seat of not selling the both sides, seat, this single seat is may be than two or more ranges of price decrease of not selling adjacent seats bigger and price reduction is faster.

[0226] alternatively, admission fee (one or more admission ticket) can use software model dynamically to set, and the software model part is determined " market value " based on user and staff (facility staff) about the feedback of the relative value at seat in the venue.

[0227] Figure 17 has shown the example user interface that is used for obtaining with respect to the estimated value at the seat of the different prices of price 1.This user interface comprises relative price conjecture matrix, and wherein the size of matrix may be corresponding with the quantity of price or seating area.In illustrated example, matrix size is 5*5, corresponding 5 prices.The user keys in numeral (" other conjecture value of relative price level ") in matrix.These numerals are the seats with respect to other price, to specifying the conjecture or the estimation of price seat advantage.According to the relative value that provides, program is the seat calculating estimated value with respect to each price at seat in the price 1, and this estimated value is inserted phase dutiable value estimated value matrix automatically.

[0228] element of example matrix is the numeral that concerns between the different prices of expression.These values of representing the element (being the element in (1,1), (2,2), (3,3), (4,4) and (5,5) cell in this example) that concerns between the identical price are 1.In this example, represent the value of price 1 relative price 4 in cell (1,4) key entry as the user, program is that cell (4,1) is specified a numeral with this value n, and this numeral is the ratio of price 4 and price 1, numerical value is the 1/n reciprocal of the value of input in the cell (1,4).

[0229] contrast following situation, at present the information representation of input matrix: price (PL) 1 is than the good twice of PL2, than three times of PL3, than four times of PL4, than five times of PL5.Secondary series shows PL2 than the good twice of PL3, and the value of the value of secondary series and first row is incomplete same.According to first row, PL2 is than 1.5 times of PL3.System can adjust relative value automatically, with telex network (for example, use mean value, geometric mean, logistic regression, (ask the logarithm of number percent, carry out then return and to exponentiation as a result) or other value) or for the user provides the difference notice, the user can adjust one or more values like this.For example, PL3 automatically is adjusted into 0.46 from 0.5 to the number percent of PL2.Percent value after being adjusted is inserted relative price estimated value matrix automatically.

	PL1	?PL2	?PL3	?PL4	?PL5
						?PL1
?PL2	?2
						?PL3	?3	?2
?PL4	?4
						?PL5	?5

[0230] except using the matrix unit lattice, alternatively, the user can import estimated value for the bottom of user interface in the text field: " I think price _ _ the value ratio price at corresponding seat _ _ value at corresponding seat well _ _ doubly ".Because the literal that has field clearly shows the meaning of the numeral of input, therefore use matrix input conjecture value the conceptive relatively user of difficulty for sensation, it is favourable using literal.In case the user imports the numerical value of hope, the user can click " adding conjecture " control, and user-defined value is inserted suitable matrix field automatically.

[0231] clicking " initialization conjecture " control button is default value with the value initialization of cell, for example 0.Clicking " admission fee is converted to conjecture " control makes current seat ticket price (for example be converted into number percent, (the seat ticket price of current PL1)/(the seat ticket price of current PL1)), and with user's relative price conjecture associating demonstration, make the user can compare two number percents, and suitably adjust user's conjecture and/or admission fee.Click " from estimating to be transformed into conjecture " button, the estimated value (for example, adjusted as mentioned above number percent) of extraction system generation also is substituted into the conjecture matrix to them.

[0232] is difficult to set up " market rationally " admission fee at seat usually at before sales.For example, the reasonable market admission fee of baseball event ticket can change according to the performance of one or two team in the activity.Similarly, the reasonable market admission fee at concert seat can improve suddenly according to television relay or video recording distribution.In addition, the working member is difficult to set price break suitable in the venue usually with maximization or fully raising income.Yet for the seat ticket of better price, the user can provide the feedback about location-based seat relative value, wherein can use this feedback to set admission fee to small part.

[0233] in example, the admission ticket price-setting process adopts or does not adopt the feedback of the pre-sale of Dynamic Pricing to formulate the common price of using at selling period towards the public.For example, an example can show (for example, by be transferred to the webpage of subscriber computer web browser from ticketing system) to user's investigation, requires the user to import relative value about venue zones of different seat.

[0234], can select to require the user that the relatively relative value of middle seat of first arrange seats comparison the 3rd arrange seats or seat, next door is provided as example.Relative value can be specified by one or more modes.For example, may require the consumer certain row (or zone) to be arranged, or the user may inquire how much pays more if the admission ticket of given row (or zone) has first price, consumer to be willing to mean better different row (or zone) compared to another row (or zone).Can also inquire the consumer that they are willing to mean given row (or zone) how much is paid, and how much be paid for the better row of appointment (or regional).Ticketing system can electronics receives investigation result, and investigation result can be stored in the survey database, after can be used for analyzing and setting admission fee and/or lowest bid.Investigate a matter and can selectively change, the specific user receives different the investigating a matter that is different from other specific user like this.Investigating a matter can be during pre-sales, presell in advance, towards the public before sales, selling period and event ticket send to the user after selling and finishing towards the public.

[0235] to after accumulating based on the relative value statistics of user feedback, set up software model to venue and/or the movable structure of price relatively.Use one or more Dynamic Pricing methods, subclass to provide and obtain ticket sales information and better opportunity of determining not sell admission ticket value.Can select relatively little subclass (for example, seat 10% or 20%), those do not sell admission ticket is venue available stock to belonging to all or specifying the user of colony's subclass to sell.Therefore, investigation can be used to set initial admission fee and initial lowest bid, is dynamically setting admission fee during the ticket sales and dynamically set lowest bid in auction.

[0236] in auction, " on average " admission fee can be calculated with one or more modes.Can use average fare to set lowest bid in the future.As example, but, can use one or more column counts down not as restriction:

[0237] average fully (summation of each seat dollar value is divided by quoter/amount of seats in all quotations);

[0238] fully average, but abandon the highest and minimum X% (avoiding misleading inclination) and/or abandon insincere or be unworthy the information source of trusting;

[0239] standard deviation or the curve of the original offer values of use;

[0240] according to quality the seat is divided into the zone, for carrying out average computation in all seats in seat in each zone rather than the auction.

[0241] alternatively, admission ticket is the admission ticket of colony's subclass auction.Alternatively, according to quotation number assignment seat, thereby select the auction person of winning (for example, for highest quotation is specified best seat, for next highest quotation is specified next preferably seat or the like, up to there not being more seat residue).Alternatively, the bidder can pay by their quotation, or in other example, the price of the auction person of winning payment is not their quotation, but the mean value of their all quotations that calculate (or other statistical measurement).Therefore, the quotation person of winning (maybe can select whole venue) in the particular seat zone can press the one price payment, even their quotation difference.Except the admission fee of purchasing admission ticket, can select to impose traffic expense, service fee and/or other expense to the quotation person of winning.

[0242] member of selection subsets can select common characteristic, for example annual some (for example, admission tickets 5-10) of buying of fan club member or user.For average or middle (or other statistical measurement) admission fee of seat payment can be as fixed point, to other users can with remaining stock price near this fixed point (for example, in certain scope, wherein scope can be 0, or expands average fare up and/or down).

[0243] alternatively, admission fee (one or more admission ticket) can use software model dynamically to set, and this software model is determined " market value " according to the user to the quotation that receives the presell right of priority.The example of system is operated according to one or more of following principle:

[0244] 1) the standard face amount of admission ticket (for example, being set by venue and/or artist) is lower than some or all the free market price in the popular movable available in-seat.For example, the face amount of a certain very welcome artistical front-seat ticket is usually well below market value, and therefore this ticket is by resaling repeatedly with its face amount.

[0245] 2) at the ticket sales environment, the user has the motivation of paying, buy as early as possible admission ticket by the price near " market value ", and purpose is in order to buy the admission ticket that is positioned at best or preferred location before other user.

[0246] 3) can give income by allowing for to bearing (attribute) seat user the highest or relative high value to the access priority raising activity of active file.

[0247] as example, example receives from the quotation of the public to best venue seat before can being chosen in actual public offering.Relevant with effective quotation is the admission ticket number of request.Suppose that the user who is associated may buy the seat if the presell price is lower than a certain quotation, select the presell price of event ticket so that the income at seat is sold in raising or maximization.

[0248] alternatively, the user of extra cost is provided, for example, before public offering, can be given visit stock's password or other addressing means (for example link) by presell price (maybe can select a certain value of the dollar) predetermined number percent or the higher percentage payout selected.Alternatively, during the presell that is discussed below,, all impose extra cost to the bid user no matter whether this user determines to buy admission ticket later on.Perhaps alternatively, if admission ticket is not bought in user's decision, can return or not impose this extra cost.Alternatively, impose the expense (for example, the fixedly presell of admission fee sale or participation presell auction) of varying number for the ability of participating in corresponding different presell activities.For example, the presell that the user participated in first day may be imposed high relatively expense, and the presell of participating in second day to the 7th day may be imposed low relatively expense.Alternatively, to determine to have how many seats to small part based on the number of users of payment presell participation cost or other extra cost during presell be available in system.

[0249] user uses these passwords (or other addressing means) selectively for the stock vies each other, as during public offering.For example, can select part based on the first come first served basis saling ticket.By the purchase requested webpage that ticketing system sends, titular user uses presell price request seat.For the user provides the best available in-seat that satisfies user, and accept (for example, buy) or refuse the chance at those seats.Presell finishes back (for example, after the predetermined presell time period), and remaining active file or selected part wherein are used to carry out public offering.

[0250] contrasts figure now the plurality of processes example is discussed.Fig. 2 has shown the process example of setup unit (for example, admission ticket) price.Before event ticket is sold beginning, set initial ticket price.In this example, the same at state 202 with said system 104, the initial ticket price of data setting that reads or otherwise receive from data source from database by computer system.For example, historical data and ticket sales are set up data and can be used for setting admission fee.In this example, visit following part or all of data:

[0251] the historical sales data (for example, the ticket sales speed of the seating area of each price range/one or many historical acts, the ticket sales total value of the seating area of each price range/one or many historical acts, the miscellaneous income of one or many historical acts, one or the miscellaneous income of many historical acts and the number percent of ticket sales volume, any admission ticket is managed artificial similar movable saling ticket);

[0252] venue capacity (for example, for all seating capacities of the activity of admission ticket price);

[0253] venue seat configuration (for example, the number of seating area type, the capacity of different seating areas, seat rank, seating area rank or the like);

[0254] cost data;

[0255] price limit (for example, the highest admission fee of each seating area and/or whole venue, the lowest fare of each seating area and/or whole venue);

[0256] particular groups or the type for the potential buyer provides the admission ticket discount;

[0257] supporting item (reduce the price, commodity, parking) is potential buyer's particular groups or type discount offered;

[0258] price adjustment frequency limitation (for example, per 24 hours are once, and per seven days twice, three times every month or the like);

[0259] every activity price adjustment total number restriction (for example, three times, four times or the like);

[0260] restriction that reduces of the each price adjustment price part of initial admission fee (for example, 5 dollars, 7 dollars or);

[0261] restriction that reduces of the total price part of initial admission fee (for example, 15 dollars, 21 dollars or);

[0262] restriction of the each price adjustment upward price adjustment part of initial admission fee (for example, 4 dollars, 6 dollars or);

[0263] the total price restriction of the raising part of initial admission fee (for example, 12 dollars, 18 dollars or);

[0264] is the maximum number quantitative limitation that every activity or user of many correlated activations can buy admission ticket;

[0265] user can buy the minimum number quantitative limitation of admission ticket;

[0266] user can buy the multiple restriction (for example, 2 multiple) of admission ticket;

[0267] characteristic of potential admission ticket purchasing group (for example, the motivation of the group size of relevant admission ticket purchasing group, participation activity, income, expectation or estimate that estimating part patient, that can make Reference Group do not buy the admission fee of admission ticket, can make the estimating part of Reference Group buy the admission fee of admission ticket);

[0268] seat and/or specify the minimum in venue zone and/or the admission ticket of maximum number quantitative limitation correspondence is sold (for example, sellers can specify half seat and maximum 66% seat were sold in the initial ticket sales stage at least) in the initial ticket sales stage;

[0269] which seat specifies in the initial admission ticket stage sells.

[0270] some or all above-mentioned sale are set up indication (for example, above referenced restriction, the seat of selling in the initial ticket sales stage) and can be set by sellers, performing artist and/or venue operator.Admission fee is set does not need to specify or use above-mentioned all data.

[0271] in state 204, the part or all of data of state 202 visits (for example are transfused to, automatically import or import by hand by computer system by the operator) one or more pricing model/processes are (for example, software model/processing procedure), those that discuss at this paper for example, these models/processing procedure utilization is the initial admission fee of these data settings partly or entirely.If generally need the activity (for example, not reserving the seat) of admission fee, can set single initial prices for all admission tickets that original pin is sold for the admission ticket holder specifies.If activity comprises the seat of reservation, then can set the initial admission fee of different (or identical) for the seat of different venues zone or price classification/amplitude.

[0272] in state 205, the seat admission ticket of designated distribution is sold (for example, by online website, ticket sales solid shop/brick and mortar store, phone, retail kiosk, ticket office or the like) to the public or its specified subset during the initial ticket sales stage.

[0273] in state 206, monitors real-time ticket sales data.Real time data may comprise partly or entirely column data down: buyer's number in one or more formations (for example, be in the user's of online admission ticket selection or purchasing process software asks formation, attempt selecting or buying telephone subscriber's formation of admission ticket or the like); The ticket sales speed (for example, can select to be decomposed into the sale speed of each venue seating area or price range) that activity and/or correlated activation are current or nearest; Activity and/or the correlated activation total ticket sales volume (for example, can select to be decomposed into total ticket sales volume of each venue seating area or price range) till up to now; The movable residual capacity seating area of whole venue and/or appointment (for example, to); Demographic information about the event ticket buyer; About beginning but abandon the demographic information of admission ticket selection/purchasing process.

[0274] for example, can admission ticket select or purchasing process before or during, (for example provide by the user, manual or provide automatically by user terminal) user ID (for example, password, user name, mark, Cookie data or the like) fetch part or all of demographic information (for example, age, sex, family income, admission ticket purchase frequency, movable hobby or the like) from the user account number record.In addition, also can visit webpage navigation information (by Cookie or alternate manner visit) with supervisory user, determine the user to the rank of activity interest (for example, the user browses and movable or website that movable performing artist is relevant or the number of times of URL), this information can be used for setting and re-set price.In addition, if ticket sales allow the user to specify them to be ready to buy the admission fee of the admission ticket of specified quantity, then also can visit this information.

[0275] alternatively, the user of visit ticketing website (for example, searching for or buy event ticket) may accept investigation by online investigation or phone, and the investigation and inquiring user is ready to pay or a few ticket sheet what price is bought specific activities or Activity Type.The user also may be ready to buy the influence of admission ticket quantity to the user by the investigation admission fee, and (for example, if admission fee is 25 dollars of every ticket sheets, the user is ready to buy 4 ticket sheets; If admission fee is 35 dollars of every ticket sheets, the user is ready to buy 2 ticket sheets).Alternatively, investigating a matter only offers selected user, has for example entered the user of specified activities seat selection course, the actual user who has bought selected event ticket, or the user begins but abandons that the seat is selected and/or the user of admission ticket purchasing process.

[0276] in state 208, state 206 is collected section data or is all compared with corresponding historical data, as the data in state 202 visits.In state 210, according to part or all of data of obtaining from state 202 and 206 and/or relatively making a determination of state 208, finishing, determine whether the admission fee of one or more seating areas should be adjusted, to adjust if desired, the amplitude of adjustment is much.For example, can (for example improve gross income by fare changes, ticket sales volume and miscellaneous income), be no more than specific limited simultaneously, for example the adjust frequency restriction of the restriction of the restriction of restriction, price adjustment total degree, each price adjustment downward price adjustment, the restriction of total price downward modulation, each price adjustment upward price adjustment and/or the restriction that total price raises of admission ticket.

[0277] in specific ticket sales, may not use or consider above-mentioned restriction.For example, stop the admission fee at extra fine quality seat to raise if event ticket is sold rule, restriction may it doesn't matter for then relevant with the rise admission fee some, because admission fee can not raise.The decision that can make price adjustment with the one or more models and the process of this paper discussion.Alternatively, for specified activities, some admission fees may adjust upward (for example, venue seating area or the seat quality big relatively to demand), and other admission fee may be adjusted (for example, venue seating area or seat quality) relatively little to demand downwards.

[0278] alternatively, the arrangement of price adjustment can be specified by sellers, also can be chosen in this price reduction and (for example notify the public or their specified subset in the time of will taking place, the registered user of fan club member, ticket service, specially send requesting users), be similar to following discussion.

[0279] if admission fee (for example, to one or more venue seating areas or seat quality) is adjusted in decision, processing procedure proceeds to state 212, and corresponding admission fee is suitably adjusted up or down.Alternatively, (if dynamically or according to the schedule of predetermined arrangement formulation fare changes) can provide notice before event ticket is sold beginning during (if having formulated the arrangement of fare changes) or the ticket sales.Notice can be before certain price be adjusted, predetermined certain hour (for example, a week, a day, hour) provides.

[0280] can provide the price adjustment notice by webpage, newspaper advertisement, blurbing, television advertising, mail-mail advertising printed matter or alternate manner.Alternatively, can be to requiring when adjusting admission fee downwards, to provide the user of notice to send notice.Alternatively, the user can specify (for example, passing through web page form) if if if having any admission fee to reduce in particular seat zone admission fee reduces or admission fee is reduced to or is lower than user's specified level, whether provide notice to the user.Whether the user can selectively specify provides notice by mail, short message, instant message, phone and/or other communication technology.If in state 210, make the current time and do not carry out the decision of price adjustment, processing procedure return state 206.

[0281] at state 214, periodically, respond the ticket sales pattern according to time till movable generation the and/or the manual instructions that provides according to the operator, make the decision that the admission ticket of whether issuing unnecessary seat is sold.Sell if issue the admission ticket at unnecessary seat, make the decision of issuing which seat.Can make the decision at distribution seat at that time or by the manual instruction that provides of previous predetermined schedule (for example, issuing the unnecessary seat of appointment) according to the operator in the appointed day.Maybe can make the distribution decision by seat distributed software model, wherein software model is considered part or all of history discussed above and real time data, and seat distribution restriction (for example, if seat distribution, the restriction that can issue how many seats to certain activity are arranged).

[0282] if activity begins (or alternatively, to in the predefined time period, begin for example two hours), if restriction perhaps discussed above stops further price adjustment, then the process of Fig. 2 demonstration can stop, and no longer further adjusts admission fee and/or distribution seat.Alternatively, when saling ticket, system can seating assignments so that equally improve the seat packing with discussed above, thereby improve income.

[0283] Fig. 3 is presented at the process example of setup unit in the auction (for example, admission ticket) lowest bid.Before the event ticket auction begins,, for example be the admission ticket at seat, different venues zone for the admission ticket of one or more kinds is set initial lowest bid.In this example, at state 302, follow the same with said system 104, the initial ticket price of data setting that reads or otherwise receive from data source from database by computer system.In this example, access portion or all descend column data:

[0284] historical sales data (for example, the admission ticket quotation speed of the ticket sales total value of each seating area of historical auction of one or many and/or the sale of not auction event ticket, one or many each price range/seating area of historical act, the ticket sales total value in one or many each price range/zone of historical act, quotation total number, what admission ticket are managed artificial similar movable saling ticket or the like);

[0285] venue capacity (for example, for all seating capacities of the activity of admission ticket price);

[0286] venue seat configuration (for example, seating area type and number, the capacity of different seating areas, seat rank, seating area rank or the like);

[0287] cost data;

[0288] admission fee restriction (for example, the highest initial lowest bid of minimum initial lowest bid, lowest price, each seating area and/or the whole venue of the highest admission fee of each seating area and/or whole venue/permission quotation, each seating area and/or whole venue);

[0289] restriction of lowest bid increment;

[0290] restriction of highest quotation increment;

[0291] the admission ticket maximum number quantitative limitation that can offer of user;

[0292] the admission ticket minimum number quantitative limitation that can offer of user;

[0293] restriction (for example, 2 multiple) of the admission ticket multiple that can offer of user;

[0294] characteristic of potential admission ticket quoter colony (for example, the motivation of the group size of relevant admission ticket purchasing group, participation activity, income, expectation or estimate patient, as can to make Reference Group estimating part not to the lowest bid of admission ticket quotation, can make of the lowest bid of the estimating part of Reference Group to the admission ticket quotation);

[0295] seat of the admission ticket correspondence of in admission ticket sells on an Auction first, selling and/or specify the minimum in venue zone and/or maximum quantity restriction (for example, sellers can specify the seat of half and maximum 60% seat are sold at least) in admission ticket auction first;

[0296] specifies in to sell which seat in the admission ticket auction first;

[0297] past selects the relevant potential quoter's of auction in the past percent quantities (wherein to guarantee that in order to attempt the quoter can successfully buy admission ticket in specific auction, the quoter agrees their quotation by the specific quantity automatic increase, and/or increases to maximum quantity).

[0298] the part or all of auction of above-mentioned discussion is set up and is indicated (for example, some above-mentioned restrictions) to be set by sellers, performing artist and/or venue operator.

[0299] in state 304, part or all of data in state 302 visits (for example are transfused to, automatically import or import by hand by computer system by the operator) (for example advance one or more pricing model/processes, software model/process), as pricing model/process that this paper discusses, they utilize these section data or all set initial admission ticket lowest bid.If admission ticket is used for the general activity that needs admission fee (for example, not specifying house seat for the admission ticket holder), can set single initial lowest bid for the admission ticket of all initial auctions.If activity comprises house seat, then can set the initial lowest bid of different (or identical) for the seat of different venues zone or price classification/amplitude.

[0300] in state 306, the admission ticket that specifies in the seat of issuing during the initial admission ticket auction is offered the public or specified subset is wherein carried out auction (for example, by online website, phone, retail kiosk or the like).Monitor real-time admission ticket auction and/or sales data (for example, the auction that has finished being sold).

[0301] real time data may comprise following section data or whole: movable quoter's quantity; Current or nearest admission ticket quotation speed (for example, can select to be decomposed into the quotation speed of each seating area or seat quality kind); Admission ticket quotation up to now amounts to and/or total sales volume (for example, can select to be decomposed into the admission ticket quotation total or the sales volume of each seating area or seat quality kind); The current high quotation and the minimum quotation of winning of each seating area or seat quality kind; Residual capacity (for example, the residual capacity in whole venue and/or seating assignments zone is represented with the number percent of absolute number and/or total volume); Demographic information about quoter or event ticket buyer; About quotation but the user's of the higher quotation of admission ticket that do not match demographic information.

[0302] for example, admission ticket select or purchasing process before or during, can use the user (for example to provide, manual or provide automatically by user terminal) user ID (for example, password, user name, mark, Cookie data or the like) fetch the part or all of of demographic information's (for example, age, sex, family income, admission ticket purchase frequency, movable hobby or the like) from the user account number record.In addition, also can be as the webpage navigation information (by Cookie or alternate manner visit) of visit discussed above and supervisory user.In addition, if the admission ticket auction allows the user to specify them to be ready to submit the minimum ticket price that one or more admission ticket is offered to, then also can visit these information.

[0303] alternatively, can present partly or entirely real-time substantially data to the user, for example the quoter is by bid submission web page or alternate manner.It is more well-informed about when offering and offer what decision that these information can make the quoter make.For example, if residual capacity very little (for example, being less than 20%), quotation speed is high relatively, and the quoter can determine to submit to a quotation, and this quotation is not much higher than to be notified about the quotation under the situation of residual state and quotation speed to the quoter.

[0304] alternatively, auction is (to whole activity or some seat, some welcome guest seat for example) may only limit to particular types the user (for example, the holder of the financial instrument of one or more appointment star-pursuing clubbites, season ticket holder, some type, for example the credit card related with specifying brand or issuer, often buy the user or the like of admission ticket).As example, before the user can submission of quotation, the user may or otherwise provide password, user name, mark, key and/or biological assay (for example, by finger scan, vascular scan, facial scanning, retina scanning, voice scan or by other biological identification technology identifying user identity) by inquiry input.If the user rs authentication success, then the user can submission of quotation.If user rs authentication is unsuccessful, then can selects to stop user's submission of quotation, or allow user's submission of quotation, but not consider this quotation, and notify this user in this way.

[0305] alternatively, the quoter can select the seat of (for example, passing through webpage) one or more consideration quotations or the subclass of admission ticket type.For example, the quoter can specify quotation only to be used for first arrange seats, only is used for the seats for distinguished guests seat, or only is used for seats for distinguished guests or box seat, center.In case the quoter has submitted quotation to, self-verifying should be offered, and judged whether this quotation satisfies the quotation demand of using (if any).If the quotation demand of these application is not satisfied in this quotation, the quoter can select notified.Selectively, about the judgement quotation of winning, do not consider unallowed quotation.

[0306], makes comparisons with corresponding historical data (for example historical data of visiting) at state 302 in the part or all of data that state 306 is collected at state 308.At state 310, according to the part or all of data of obtaining at state 302 and 306, and/or the comparison made of state 308, make and whether should issue the decision that unnecessary admission ticket is used to offer.For example, as response, can periodically make this decision according to the time till movable the generation and/or according to the manual instructions that the operator provides to the admission ticket sales mode.Alternatively, sellers can specify schedule for the distribution of seat admission ticket.

[0307], makes the decision of issuing which seat if the admission ticket at the unnecessary seat that will issue is used for auction.The decision at distribution seat can be according to the manual instruction that provide or sellers' appointment of operator, or is formulated by seat distributed software module.This software module is considered partly or entirely above-mentioned history and real time data and seat distribution restriction (for example, if any, activity being had the restriction that the seat is sold outside the how many times amount issued).

[0308] in state 312, for admission ticket that will distribution calculates or from the up-to-date lowest bid of memory access, this quotation may be higher or lower than issuing the quotation at the compared seat that is used for auction.For example, can adjust lowest bid and improve gross income (for example, ticket sales volume and miscellaneous income) and be no more than specific limited, for example minimum restriction that allows lowest bid or the restriction of high admissible lowest bid.At state 314, issue unnecessary seat ticket with the lowest bid of corresponding appointment and carry out auction.This process proceeds to state 306.Be not used for quotation if do not issue unnecessary admission ticket at that time in state 310 decisions, then process proceeds to state 306.

[0309] alternatively, the user (for example can specify, pass through web page form) if lowest bid is equal to or less than specific rank, or whether (for example, specific dollar of quantity or exceed user's current quotation) notifies the user when the minimum quotation of winning reaches the specific rank in particular seat zone.The user can optionally specify whether notify the user by Email, short message, instant message, phone and/or other communication technology.If (or will take place for example two hours alternatively in the predetermined time period) takes place in activity, or the unnecessary price adjustment of restriction discussed above prevention, process then shown in Figure 3 can stop.

[0310] in case completion of an auction finishes bidder's admission ticket is specified, calculates ticket price.Similar with top discussion, alternatively, the auction person of winning can be by their quotation payment, all persons of winning can be by the minimum quotation payment (unified price) of winning at certain class seat, and the auction person of winning can pay by " mean value " that calculates according to whole offer values (or other statistical measurement).

[0311] if be the admission ticket setting lowest price (for example) of one or more seats or seat kind correspondence, determines then whether one or more quotations of corresponding admission ticket obtain this lowest bid to the acceptable lowest price of certain project.If do not obtain lowest bid, alternatively, those admission tickets are not sold to the quoter.Alternatively, before completion of an auction, lowest price may be not open to the quoter.Alternatively, lowest price may begin just open to the quoter from the auction admission ticket.Alternatively, even but also do not obtain yet acceptance of offer of lowest price.

[0312] Fig. 8 A-C has shown the auction example user interface.Can visit this user interface from the ticketing website by web browser.The user interface that Fig. 8 A shows provides some fields, can specify in the admission ticket group (for example, seating area) of the customer quote of considering in the event ticket auction by these fields user.In this example, think that first group of listing is the admission ticket group of wanting most of listing, second group listing is the second admission ticket group of wanting most of listing, or the like.

[0313] if the user wants to allow quotation bid, can select " all " controls in the admission ticket group that all are listed.The user also can manually select one or more admission ticket groups of listing.In the example that shows, the user has selected the third line, fourth line, fifth line and the 6th row (admission ticket group 1-4).Arrow after the user can click the admission ticket group and describes, system will show additional information about this admission ticket group by user interface.For example, the description of the third line admission ticket group shows that this group comprises and gets upstairs that the third line number is the chance of the Reserved seating of 1-8.In addition, user interface also provides the current lowest bid of corresponding admission ticket group.The user interface explanation, in the example auction, the admission ticket group that the user selects is many more, and the chance that the user gets admission ticket is big more, therefore encourages the user to select a plurality of admission ticket groups.User interface also listed performing artist's title (" Bon Jovi "), tour title (" Havea Nice Day "), venue (air canada centre, toronto, ON) and movable date and time.User interface is also listed auction Start Date/time, the time that completion of an auction date and auction are also remaining.

[0314] user selected before the example user interface that shows in Fig. 8 B had been listed admission ticket combination and current lowest bid.The interface provides a control (for example, " adding more admission ticket group " link), can add additional admission ticket group (for example, using the user interface that is similar to Fig. 8 A demonstration) by this control.The interface provides " every ticket sheet quotation " field, can import the quotation quantity of user for every ticket sheet by this field user, and the admission ticket quantity of user's request is specified by field " admission ticket quantity ".In this example, the user to be apprised of the quotation growth limitation be 10 dollars multiple.The interface provides the selection field, if (for example, failing from winning to) provides notice (for example, email notification) to the user can require user's quotation state variation by this field user the time.The user can click the submission of quotation of " submission " control button.

[0315] Fig. 8 C shows quotation state user interface example.User interface has shown the current quotation of the every ticket sheet of user, the admission ticket quantity of user's appointment and the quantity of always offering (for example, admission ticket quantity multiply by the current quotation of the every ticket sheet of user), has not comprised service fee alternatively.The quotation state of each admission ticket group that the user interface explicit user is selected (for example, fall to marking, win or the like).In the example that shows, the user with 100 dollars every price auction 4 ticket sheets.The user falls to marking admission ticket group 1 (the third line admission ticket group), and its current lowest bid is 110 dollars; Win admission ticket group 2 (fourth line admission ticket group), its current lowest bid is 80 dollars.In this auction example, the user wins to the quotation of the admission ticket group of high rank, and alternatively, the quotation state is triumph, can give the user the admission ticket of the admission ticket group of high rank.

[0316] interface provides control (for example, " adding more admission ticket group " link), can add additional admission ticket group (for example, use shows similar user interface with Fig. 8 A) by this control user.

[0317] user is apprised of needs to increase user's quotation to get the seat of admission ticket group 1.User interface provides a field (quotation of every ticket sheet " increase to "), can specify new quotation by this field user.The user can click " calculating " control button, and ticketing system or the program of moving on subscriber computer can be calculated new total quotation quantity, and new total quotation quantity can be shown to the user.The user can activate " submission " control button and submit new quotation to.In case completion of an auction, (for example, the admission ticket group that rank is the highest) quotation is (if any) of triumph to the user, can give the user admission ticket of this admission ticket group to the most first-selected admission ticket group.

[0318] Fig. 9 has shown an example user interface, and it selectively will the co-pending request relevant with admission ticket be shown to the user in formation (for example, comprising from user terminal and pass through network that for example the Internet provides the formation of admission ticket request).In this example, inform that how many admission ticket requests (or its estimated value) were arranged in the Subscriber Queue before it.User interface informs that also the user can buy the possibility of admission ticket by the request in the queuing.In this example, the user is apprised of the system estimation event ticket and can asks to sell off before serviced the user.Offer user's hold queue position, select another performance date, select the selection of different performing artists' performance.Similar with top discussion, alternatively, use prediction associating filtration, select different performing artists' performance automatically.

[0319] Figure 10 has shown an example user interface, by this interface user can specify wish to receive sell relevant notification type with event ticket.In the example that shows, user interface has comprised and admission fee descend performing artist's name of the activity that is associated, movable venue name, date (and alternatively, time) that wherein the admission fee at the seat of at least one kind may begin preceding minimizing in activity.User interface offers some notify options of user, and the user can select these options by clicking check box or click territory (click field) or alternate manner.In this example, the user can require to provide notice when admission fee reduces.Alternatively, a field can be provided, notice can be asked when the ticket price of specifying the admission ticket group reduces, to provide by this field user.

[0320] contrast Figure 10 also provides a field, can specify by this field user to send notice when admission fee reaches or be lower than the price of user's appointment.The user can further ask to provide notice when issuing unnecessary seat for activity.Distribution seat notice just is provided when alternatively, the user can specify the seat that has only distribution appointment venue zone.The user can select one or more notices destination or method (for example, E-mail address, note address, instant message address, telephone number or the like) by the field that provides.

[0321] Figure 11 has shown the investigation form example, can use this form to collect user's's (for example, being likely the admission ticket buyer or the public) data, and these data can be used to admission ticket is fixed a price.Investigation can be presented to be in and be searched, selects or buy user in the admission ticket process with form web page, by Email or otherwise send to the registered user of ticket service.As mentioned above, investigation result can be stored in the survey database.

[0322] the investigation example of Figure 11 demonstration is relevant with particular show could person, but other example can be relevant with one or more Activity Types (for example, Springsteen, sports, drama or the like) rather than particular show could person.In the example that shows, the inquiry user is willing to mean the admission fee of the seat payment of different venues zone different quality.Inquire that also the user provides the indication about different venues zone relative value difference view.The same as discussed earlier, can use this information is one or many movable admission fees of setting.Alternatively, can present all or part of investigation result of assembling, additional appraisal information is provided for one or more potential admission ticket buyers by a plurality of users.

[0323] Figure 12 has shown example user interface, and this user interface can make the user can select to pay the presell participation cost and participate in certain activity presell.In the example that shows, the user can select to pay that first quantity (20 dollars) participates in first, early stage relatively presell (for example, first week of presell), or the user can select to pay the presell (for example, second week) that low relatively quantity (10 dollars) is participated in relative late period.In this example, the presell participation cost can not reimbursement, alternatively, even in presell forward direction user charge or to user make out the bill (for example, collecting from user's credit card).Therefore, even do not buy admission ticket after the user, the presell participating fee can be imposed equally.Alternatively, the presell participating fee is returnable.

[0324] discussion can be used for predicting the software systems of admission ticket demand and yield management and the example user interface that is associated now.Prediction/yield management software systems (also being known as revenue management system) are used and are come from movable in the past historical data statistical value prediction to movable in the future anticipated demand.Revenue management system can also be used to estimating and the expected cash flow of raising or optimization activity.Yield management can assist sellers to set up and/or adjust admission fee and active volume, and alternatively, assisted Selection and startup advertising enlarge ticket sales, thereby improve or maximization activity income.

[0325] as this paper more detailed description, software systems are carried out demand forecast by importing historical demand data and statistical value.For example, system can import the report of one or more generations (for example, from) and sells from event ticket and begin the ticket sales speed (for example, depending on activity data) that finishes to selling.As example, report can comprise activity characteristic, for example, in one day when, what day, main performing artist, auxiliary performing artist in a week.As more deep example, report can comprise movable racing season, for example 2006 racing seasons of Dodgers, or the part of racing season.Alternatively, can import a plurality of reports, or the value of movable a plurality of racing seasons.

[0326] alternatively, the user can set up a filtrator location or determine the activity that characteristic is corresponding with filtrator.For example, can set up filtrator locating features and the similar historical act of activity characteristic of carrying out demand forecast.Can be used for the prediction that causes the demand with activity historical data associated that navigates to and statistical value.

[0327] for example, the user can set up the Dodgers activity that filtrator filters evening, wherein team participating in competition and Padres trial of strength.The Dodgers activity in following evening is estimated in the demand forecast that generates by this filtrator, and wherein Dodgers and Padres haggle.

[0328] when generating demand forecast, the user can further specify compared to other activity, and differently weighting of specific activities (for example, the movable racing season) is suitable if some fact shows such weighting.For example, if a team participating in competition won victory in 2004 racing seasons,,, when being forecast demand in 2006, be that data appointment in 2005 is suitable than the higher weighted value of 2004 annual datas then in the expection failure of 2006 racing seasons in the failure of 2005 racing seasons.

[0329] revenue management system can select to make the user can shine upon/not consider the activity characteristic value.As example, the user can specify some different activity characteristic mapped, so that carry out same treatment (a user can specify that certain event characteristics-thatdiffer are to be mapped to as to be considered the same for filteringpurposes) for the purpose of filtering.For example, compared to the activity of holding in general work day, the sale demand of the Padres activity of holding at memorial day (Monday) may be similar with the sale demand of Weekend Activities (Saturday or Sunday).In this case, the user may be remapped to Saturday or Sunday with " in the week what day " characteristic of activity.Can determine to occur in the historical act on Saturday or Sunday when therefore, system's activity that (for example, memorial day) held on Monday generates the sale demand.

[0330] user can also not consider to comprise auxiliary performing artist's default properties.As example, the activity of supposing prediction is first team participating in competition and the trial of strength of second team participating in competition, wherein be popular in the past 2 years of second team participating in competition, but recently much good team member left this team.Using with first team is suitable with the historical act information that relative unwelcome the 3rd team participating in competition is correlated with, rather than or comprises the historical act information of first team participating in competition and the activity of second team participating in competition except use.

[0331] after importing historical data and statistical value, the activity of constructing filtrator, weighting racing season mutually, consideration characteristics (in suitable place) not, instrument can produce the prediction of expection sale demand.For the characteristic activity in the future corresponding with those identifiers by filtrator, its demand forecast can select to comprise that expection sells speed and sell up to the accumulative total that performance date or sales date finish.

[0332] improves about income,, can use information of forecasting for following the tracks of and the plan purpose.For example, if effective sale is lower than the sale of expectation, can formulate promotion strategy (for example, lower the fares, buy one and get one free, Free parking, free or reward voucher that discount is reduced the price) increases and sells.

[0333] except, or replace above-described demand forecast to handle, management system can not be the data and the statistical value of quite similar activity based on those characteristics of characteristic and the activity of being predicted to small part, uses the sale/demand of interpolative prediction activity.When the characteristic of some characteristic of the activity of being predicted and a series of importing activities did not match, it was favourable using these interpolation.

[0334] analysis of cash flow of example system execution and raising/processing operation is as follows.One or more individuals or group provide the estimation of anticipated demand to ticket price.Demand can be selected to decompose by pricing tier and/or seating area to the estimation of price, and system provides one or more method shapings and scaling requirements to price curve.These estimated values are represented " ballot (vote) " to anticipated demand and price, the weighting mutually of different estimated values, and the demand that produces an associating is to the price estimated value.

[0335] for example, the general manager (GM) of sellers accounting department and movable market department can provide demand to the price estimated value.If think that the estimated value estimated value general and that the general manager (GM) provides that accounting department provides is more accurate, then demand to price curve in, can select more important place weighting of estimated value that accounting department is provided, demand is the combination or the set of accounting department's estimated value and general manager's estimated value to price curve.

[0336] below in the example, ticket office and accounting department provide estimated value.If think that the estimated value of ticket office may be than the accurate twice of the estimated value of accounting department, the weighted value of then specifying ticket office is 2, and specifying the weighted value of accounting department is 1.

Title	Weighted value	Type
			Accounting department
	1	The user
			Ticket office
	2	The user
			Test
	0	The user

[0338] for example, accounting department can estimate possible demand:

To being worth 10 dollars seat, possible demand is 1000 seats,

To being worth 20 dollars seat, possible demand is 500 seats,

To being worth 30 dollars seat, possible demand is 400 seats.

[0339] for example, possible demand can be estimated in ticket office:

To being worth 10 dollars seat, possible demand is 500 seats,

To being worth 20 dollars seat, possible demand is 250 seats,

To being worth 30 dollars seat, possible demand is 200 seats.

[0340] system can use suitable or average demand curve, conservative demand curve and/or optimistic demand curve to infer requirements.

[0341] uses the data source weighted array of definition or the estimated value of merging ticket office and accounting department.Therefore, when admission fee is 10 dollars, if accounting department estimates to have 1000 people's participation activities, 2000 people's participation activities are estimated to have in ticket office, be twice then for the weighted value of accounting department's appointment for the weighted value of ticket office appointment, demand after the merging estimates to be approximately 1600 people, and the estimation after this merges can be used for forecast demand.

[0342] system can generate net cash flow and estimate according to the price and the capacity input of demand of estimating and imagination.Therefore, for example, be that price and capacity are selectively set in the basis with each pricing tier.

[0343] schedule and the itemize of expected cash flow are described now.In example, the cash flow of in the schedule one expression or plus or minus.The schedule project can be by kind and the grouping of optional subclass, for example " special price ", " ticketing service " or " facility ".The cash flow that is associated with specific project can selectively be appointed as the fixed cost of whole activity, or with relevant based on pressing price, demand, occupancy, income and/or the capacity information of above describing the historical act data that obtain.Cash flow quantity can selectively be appointed as the single value to all pricing tiers, maybe can be divided into independent value for different price lattice rank.The example of some cash flow schedule projects is described hereinafter.

[0344] as example, Negative cash flow can be relevant with estate management.Can specify estate management is " facility " kind, also may be selected to be " property " subclass (in another example, " facility " subclass may comprise movable security personnel).Can select to set up the fixed expense of the Negative cash flow relevant with movable estate management as whole activity, perhaps estate management Negative cash flow can depend on seat holder's quantity (for example, the amount of seats of cleaning).

[0345] as example, Positive cash flow may be relevant with the ticketing service additional cost.Can specify additional cost is " ticketing service " class, specifically is " additional cost " subclass.The additional cost quantity of representing with number percent may depend on expection ticketing service income, for example with above-described the same, uses those expection ticketing service incomes of historical act data decision.As example, if the additional cost of first fare basis is higher than the additional cost of second fare basis, the additional cost that can provide each fare basis to split.

[0346] in addition, system can carry out " hypothesis " analysis and optimize.For example, can filter the schedule of cash flow project, only show the project in single kind or the subclass, or the project in two or more given category or subclass.For support contract negotiation may wish to limit analysis to single kind or subclass, for example, but kind or subclass that with estate management expense have nothing to do relevant with admission ticket additional cost information.Select a kind to cause the cash flow schedule, as shown in figure 23, be used for restriction project and the finally demonstration of cash flow of selected kind (with its subclass, if subclass is arranged).For example, select " facility " kind, make the restriction of cash flow schedule only be presented at project (for example, " movable security personnel " and " property " subclass) in " facility " kind and the corresponding subclass.

[0347], can optimize the admission ticket price with maximization or raising net cash flow to specific cash flow schedule.As the part of what-if, also can select manually to set admission fee.In addition, as a part of analyzing and income improves, seating capacity can be adjusted to another pricing tier from a pricing tier.

[0348] alternatively, can get rid of selected demand from cash flow is estimated estimates.According to final expected cash flow, the difference between several demands estimations is emphasized in such analysis.

[0349] in the identical global shape of maintenance, in order to show the susceptibility of expected cash flow to anticipated demand, the demand of can drawing in proportion is to price curve.

[0350] Figure 13 has shown the example at revenue management system activity need predictive user interface.In this example, user interface is divided into four parts, experiences four example states of earnings forecast process to help the guiding user.In this example, the user is performed until state 4 from state 1.

[0351] especially, about state 1, access history activity statistics value and data, the user can at first activate the historical data that imports control (for example, " the historical racing season data of importing " control) one of importing or many activities.

[0352] for state 2, the user can activate the activity characteristic control.As example, the user can define new characteristic or cover the characteristic that exists.For example, the user can activate " definition/selectivity characteristic " control and define and select activity characteristic.If the user wishes or feels suitable that the user can also activate the coverage property control and come coverage property.

[0353], can executed activity filter for state 3." selection activity " control (for example, " selecting the activity in the advance notice " control) is provided, can sets up one or more moveable filters by this control user.Grouping control (for example, " characteristic grouping ") is provided, and this control can make the user can select one group of activity, for example one group of activity the most fast-selling, and whether observation interosculates or pattern to these activities.For example, can generate and show cake chart, the relative populations of each movable characteristic value of selecting in the activity need prediction is arranged among the figure.As example, an exemplary plot may show that 5 in the selected activity is the activity that evening, 7:05 held, and 1 is the activity that afternoon, 4:05 held, and figure shows that most of selected match/activity is the activity of holding evening.

[0354] carrying out prediction at state 4 generates.In this example, provide the control of selling speed before the movable beginning, activated this control and can make system generate sales forecast (for example, contain the graphical format of sale, and/or text formatting) time curve.Provide and estimated the control of sale in the future, activated this control system is generated one or many movable estimations of selling in the future.

[0355] other example can comprise manyly, still less or different controls, and these controls are corresponding to more, still less or be different from the earnings forecast process state that above contrasts those states that Figure 13 discusses.

[0356] usage example at activity need predictive user interface is discussed now.In the example that shows, the user wants that the data of using two racing seasons predict the demand of current racing season specific activities.The user will import historical and other data (importing these data if desired), can select to increase and/or the deletion characteristic, can select the coverage property value, executed activity (is for example filtered, selection will be included in the activity in the advance notice, and can select to check the characteristic grouping), the generation forecast result (for example reports, show demand forecast figure (selling speed before movable), and/or following the sale estimated).For example, if the activity of prediction was held in the specific date, the sports between two teams participating in competition, report can provide the demand estimated value (for example, each price expection sell seat) of these sports according to historical trend.Can also provide value of the dollar for expection ticket sales, sale at special price and/or gross income.Alternatively, report can be considered to notebook data, provides the net income of estimation or profit to estimate.

[0357] especially, for importing historical data, in this example, historical data is that the basis imports with the racing season.For example, can generate the report that comprises movable season, for example baseball racing season or touring concert, reporting the result then to be imported into (or directly visit).Alternatively, a plurality of reports of a plurality of racing seasons value of deputy activity can import revenue management system.

[0358] as example, can all or part ofly generate statistical report based on activity in the past, reporting the result to import revenue management system.The data that report is collected can comprise following section data or whole:

[0359] activity code;

[0360] activity attributes;

[0361] capacity;

[0362] admission ticket quantity can be selected to decompose by price;

[0363] with the operational symbol type of decomposition per hour, every day, weekly and/or every month ticket sales; With

[0364] with marketing channel (for example, online website, ticket sales solid shop/brick and mortar store, phone, shop, ticket office or the like) decompose per hour, every day, weekly and/or every month ticket sales;

[0365] can select following execution importing process.The user can click " activity need prediction " corresponding control of tag access (for example, button or link).The user can click " importing historical racing season data " control, will show to import form (for example, " importing historical act statistical value " dialog box) on user terminal.Figure 14 has shown the data importing example user interface.(for example can import by this interface corresponding to the data of historical act, Activity Type, activity data, venue signage symbol, venue capacity, sales data) and/or the data (for example, Activity Type, activity data, venue signage, venue capacity) of future activity.

[0366] referring to Figure 14, the user can use file to select user interface (for example, " importing file wherefrom " field) need to select the file that imports, for example by the report about or many historical acts that generates above is discussed.The user can click control, selects the type (for example, " historical act " importing activity and sales data, or " movable in the future " importing activity data) that imports.The user can import the title relevant with Import Reports (for example, unique racing season title for example comprises the racing season title in time racing season), and activates and import control and begin to import, and import operation will be carried out by system.Can repeat said process and import one or more groups additional data.

[0367] by after the above-mentioned importing data, the user can activate definition/selectivity characteristic control that Figure 13 shows, the definition of activities characteristic can present the one or more user interfaces that show as Figure 15 A-C by user terminal.One group of attribute/property is relevant with specific activities.These characteristics are included in the historical data that imports revenue management system or are relevant with the historical data that imports revenue management system.For example, these characteristics can comprise predefined characteristic or the characteristic that defines in importing process, for example following properties partly or entirely: in main performing artist, auxiliary performing artist, performance date, the week what day, in one day when, main kind, less important kind, venue and prototype curve.Here the prototype of saying is one group of data, can comparative standard or reference as other activity data.

[0368] alternatively, the user can create user-defined characteristic.User-defined characteristic can be relevant with the characteristic that exists, and also can have nothing to do.For example, the user can define new features, is worth to be " working day " and " weekend ".This characteristic can be created according to what day characteristic in the week.For example, can be that to specify the value of new features be working day for the activity of Monday, Tuesday, Wednesday, Thursday or Friday for " in the week what day " characteristic value.For " in the week what day " characteristic value is that to specify the value of new features be weekend for the activity on Saturday or Sunday.Figure 16 A-B shown the weekend/working day characteristic and the example of value user interface, by this user interface user can map feature, select the prototype curve values, the value of selection " in a week what day ".

[0369] as more deep example, another user-defined characteristic example may be " the special promotion of baseball ", and value may be not have promotion, bat day, baseball card day or the like.It is characteristic (for example, not based on other activity characteristic or uncorrelated with other activity characteristic) independently that this user-defined characteristic can be selected, and can select manual or otherwise imports the value of this characteristic of specific activities.

[0370] can select to provide the ability of adding characteristic, modification characteristic, editor's characteristic value or deletion characteristic, for example " interpolation characteristic ", " deletion characteristic " and " editing value " control of Figure 15 A-B demonstration for the user by suitable control.Therefore, for example, if particular characteristics does not comprise the relevant information that is used to predict, the user can select to delete this characteristic.Example can be the venue characteristic (though in a lot of examples, the venue characteristic may be relevant with sports team) of sports team.The user interface that Figure 15 C shows shows when the user activates editor's characteristic control.The user can be from current table (for example, " mainly the performing artist ") characteristic that selection will be edited, and the selectivity characteristic type is distributed selection in (for example, one or more baseball teams) from the characteristic of one or more permissions.

[0371] characteristic can also be used to determining visually activity pattern and common ground.For example, the user can indication mechanism generates the figure of the historical sales data that import.The user can select alive packet, and the alive packet that for example is in great demand most finds out whether situation of selling well activity is interosculated or pattern.As an illustration, to team, may one or more specific adversarys as if can improve sale greatly.To touring concert, venue that may be specific or the some day in the week (for example Saturday) can be relevant with the concert of being in great demand most, or the ticket sales of similar price are increased.

[0372] except making the user can be the activity specified characteristic, the user interface that shows at Figure 15 A-B can make the user or specify coverage values in other suitable environment because of external environment condition.

[0373] a characteristic constructive process example is described now, though can use other process and state.

1. the user can activate " definition/selectivity characteristic " control from the user interface that Figure 13 shows.What show in Figure 15 A is the form that shows for the user, and table content is already present characteristic and its corresponding value.

2. " interpolation characteristic " control of can activation graph 15A showing of user.Can show a new characteristic (for example, in the form bottom).The user can activate (for example double-clicking) title cursor is placed on name field, deletion default name, input newname.

The characteristics showed type be＜undefined.The user can be by clicking the lists of data types (for example, numeral, date, time and text) that drop-down list arrow or other menu explicit user can be selected.

4. the user can click " editing value " control.

5. the user can click " interpolation " control (for example, selecting by right-click menu) then cursor positioning to blank characteristic value field.

6. the user can import expectation value.

7. the user can suitably be defined up to characteristic value by repeating step 5 and 6.

[0374] will be activity specified characteristic value to new correlation properties, the user can carry out step 8 and 9.Will be for new independence (incoherent) characteristic be an activity specified characteristic value, can skips steps 8 and 9, the user is that new incoherent characteristic is carried out the appointment to the activity characteristic value.

8. from the characteristic tabulation of a mapping, shown in Figure 16 B, the user selects the check box corresponding to new establishment characteristic, and the value of this characteristic will show.

9. from new features value dialog box, the user selects the check box corresponding to characteristic value.

[0375] if the user is new incoherent characteristic specified characteristic value, may carry out following process.

1. the user activates " coverage property value " control shown in Figure 13.The form of show events and individual features value.

2. the user can select default value for new features,＜undefined, the user can click drop-down list arrow or other menu, the tabulation of displayed value, and the user can select suitable value from this tabulation.

3. if import the data that surpass a racing season, the user can select the next racing season, and from the check box of new features value dialog box selection corresponding to characteristic value.

[0376] for the deletion characteristic, the user can select the characteristic that will delete (for example, by the form of Figure 15 A demonstration), clicks the deletion control, and this characteristic is with deleted.

[0377] user can select to specify and use how many activities to generate demand forecast.The activity of a lot of saling tickets is generally corresponding to one of following curve type, and these curve types can be used as the prototype curve, though the activity of some saling tickets is corresponding with different curves, and for example combination of following one or more curves.

[0378] curve A: speed is sold corresponding to height by the first of this curve, reduces gradually then, and the initial high speed of selling of reflection is sold speed as time passes and descended gradually.

[0379] curve B: a mild relatively curve shows in the ticket sales process or in its most processes, sells constant relatively.

[0380] curve C: the first of this curve is mild relatively, and curve rises gradually then, shows that initial sale speed is mild relatively, but when activity closes on, sells speed and rise.

[0381] curve D: speed is sold corresponding to height by the first of this curve, and selling then that speed is reduced to probably is zero, shows before event ticket is sold off, and it is all very high to sell speed.

[0382] therefore, if movable admission ticket sold off, can be corresponding to curve D.If 90% admission ticket has been sold in activity, then can be middle another kind of curve type.If movable 30% the admission ticket of having sold, curve may be also different.Alternatively, system can show that simultaneously sale is to time curve for a lot of selected historical acts.The user can state (for example, according to final sales) think have how many activities to belong to same kind or curve type.System can select standard according to user's appointment with the color showing activity curve.For example, the user can state to have that 99 activities of high admission fee belong to first kind (for example, all being the activity of curve A type), and this curve is all represented with redness, activity between 100 and 200 belongs to second kind according to sales range, and this curve is represented with redness.

[0383] user also can be appointed as the activity demonstration average demand curve that belongs to the first kind, second class and/or the first kind and the combination of second class.Can observe and the effective sale speed and relative sale speed that compare current active, and match prototype curve (for example, average demand curve and/or one or more single-unit activity curve), can make the prediction of selling for current active about in the future.

[0384] discuss as mentioned, the user can set up one or more moveable filters and determine and be chosen in the suitable historical data of using in demand forecast, yield management or the others.Can define the activity of filtrator position history, the series of characteristics of historical act is corresponding to predicted activity.

[0385] for example, if import the data of whole racing season, the user believes that having specific activity more relevantly represents predicted activity.Therefore, the user can use filtrator to comprise those more representational activities when carrying out forecast analysis, rather than the whole racing season.Alternatively, the user can specify weighted value and coverage property value for data.

[0386] alternatively, can present a table to the user, list the activity of one or more importings, and alternatively, the characteristic value that respective activity is correlated with (for example, main performing artist, auxiliary performing artist, in performance date, the week what day, in one day when, main class, less important class, venue and prototype curve).Alternatively, every activity (or one group of activity, for example activity of a racing season) has one to comprise check box and get rid of check box.By comprise the check box user can activity of mark or one group of activity be included in the forecast analysis, by get rid of the check box user can activity of mark or one group of activity be not used in forecast analysis.Alternatively, form can sort by clicking gauge outfit, can assist like this activity is divided into groups.For example, if main performing artist is Dodgers, the user can click auxiliary performing artist's ordering and group activity, and wherein Dodgers and particular team (for example, Giants) are movable together.The user can select the historical act of Dodgers and Giants's trial of strength easily.Alternatively, can be chosen in the activity need prediction activity statistics value of using or do not use several racing seasons (or other grouping).Alternatively, the user can activate " selecting all " control and select all activities of listing, utilizes the activity of selecting to carry out forecast analysis; Perhaps the user can activate the activity that " clearing all " control is not selected current selected.Can activate filtrator control (for example, " filtering the activity in the prediction " button), generate one or more data base queryings corresponding to filtrator.

[0387] alternatively, do not use or except using above-mentioned form to select filtering activities, the user (for example can check the activity need figure of many activities and selection, by lasso trick or the user selection tool that stretches, wherein the user can pull out the zone of an irregular or regular shape with a pointer, object in this zone is selected) a certain grouping in the figure, corresponding to choosing grouping or the movable historical data can be with generating in dispute movable demand forecast.Alternatively, except or replace, the user can form a data base querying to characteristic, this characteristic is the characteristic that the user wishes the former activity that can see in dispute the activity.

[0388] for example, the user can to hold at night, the adversary filters for the Dodgers of Padres match.A form will show the match in night of Dodgers and Padres antagonism.Can be with the demand forecast of this filter creation to the Dodgers and the movable forecast demand of Padres in night that holds in the future.

[0389] Figure 18 has shown the example user interface of definition filtrator.In this example, the user can set up filtrator selection activity, and wherein auxiliary performing artist's characteristic (for example, the visiting team) value is Milwaukee Brewers, and " in one day when " characteristic value is 7:05 in evening.The user is named as " Brewers activity in night " for filtrator.The comparative parameter that use to need (for example, equal, be not equal to, greater than, less than or the like) can setting property and characteristic value between the relation that needs.When using this filtrator, system can locate and show that Brewers participates in, is arranged in the activity of 7:05 in evening.The user can use the filtrator of preservation afterwards, and needn't redefine filtrator.It is suitable using the pre-games of the Brewers activity in this example filter prediction next night racing season to sell.

[0390] discuss as mentioned, system can make the user can cover/remap characteristic value.The characteristic that the user can select to shine upon, can select expectation value, the selection instruction of " in prediction, using the coverage property value ".System will use coverage values.Figure 19 has shown that characteristic covers the example of user interface.The user can pass through the movable racing season that racing season choice menus selection needs.The user can or otherwise select a characteristic value (for example, Philadelphia Phillies) by click, and keys in the value of mapping.In this example, the user selects Philadelphia Phillies for project EPM0425, selects or import San Francisco Giants as mapped characteristic value.User interface shows which value is an actual value, and which value is the value that remaps or mapped value.For example, though Florida Marlins may be in certain specific activity and Philadelphia Phillies antagonism, the user can specify the movable generation forecast of participating in Giants.

[0391] discuss as mentioned, the user can ask the demand forecast report, and for example pre-games is sold rate reports.Report can be adopted the form of time-trend analysis, according to selected and the similar activity of activity characteristic in future, uses the movable in the future sale of historical act data prediction.Time-trend analysis can present the number percent and/or the absolute number of final sales (for example, with) with the form that the every day accumulative total of prediction is sold figure.Information of forecasting can be used for following the tracks of and plan.For example, sell if effective sale is lower than prediction, sellers may implement promotion (for example, reduce the price, buy one and get one free, Free parking, free or seat that discount is reduced the price, upgraded or the like) and improve sale.

[0392] as example, according to one group of selected activity, movable preceding demand forecast figure has shown the expection sales forecast up to the performance time.One of them axle can select expression accumulative total to sell, and can select is the number percent of final sales.Second axle represented the fate (or section At All Other Times, for example hour) before movable.Figure can for the activity (can select to use first color coding or other identifier) used in the generation forecast, in generating demand curve untapped activity (can select to use second color coding or other identifier) demonstration demand or other suitable statistic curve, can also be that predicted activity (can select to use the 3rd color coding or other identifier) shows demand curve (expection of prediction is on average sold or the accumulative total estimated is sold).Here the term curve of Shi Yonging is not limited to smooth curve, can also comprise sawtooth curve and 90 curves of spending flex points and other flex point are arranged.As more deep example, can use the different graphic type to show demand curve.For example, Line Chart is attempted by the curve fitting straight line, and the index figure is attempted by data point fit indices die-away curve.

[0393] Figure 20 has shown the example at activity need predictive user interface.User interface has provided the demand curve of several color codings (or otherwise identifying).For example, the user interface of demonstration has provided the curve of the curve of untapped historical act data in current prediction, the historical act data used, the demand-expected curve of predicted activity in current prediction.In this example, X-axis is sold number percent (for example, 100 (sale up to now/total the sale)) corresponding to the accumulative total of selling with respect to total activity.Y-axis is corresponding to the fate (or time increment of other appointment) before movable.Alternatively, X-axis can be sold number percent corresponding to the accumulative total with respect to total activity admission ticket number of selling or active volume.Alternatively, X-axis can be sold corresponding to accumulative total, rather than ratio or number percent.When user's moving cursor (for example, use pointing device) on certain part of demand curve, system makes user interface percentages show with the final sales total value in the corresponding user interfaces field add up accordingly to sell, totally sell, show the effective sale of each capacity benchmark, the corresponding fate before the show events accordingly with the percentages show of final active volume.The user can specify the termination capacity benchmark by termination capacity benchmark field.

[0394] alternatively, the user selects in (for example, by lasso trick, rectangular selection or the user selection tool that stretches) figure interested one group, uses selected group or activity corresponding historical data to generate cake chart, as shown in figure 21.In the activity that cake chart way of example shows shown in Figure 21 is selected 5 activities being arranged is activities that evening, 7:05 held, and 1 activity is the activity that afternoon, 4:05 held, and it shows that most activities of selecting in this group are the activities in night.

[0395] as mentioned above, if the user observes a sets of curves that flocks together in the figure, the user can select by lasso trick or the alternate manner curve of selective aggregation visually.This activity of organizing selected curve correspondence also can be selected, and regenerate the activity need prediction according to this selection.After the trade-off curve, selectively carry out the user interface that shows the aggregation properties value in this manner.

[0396] alternatively, can use interpolation to carry out demand forecast, foresight activity sale/demand is not even the movable characteristic and the characteristic of historical act match.When the characteristic of a series of historical acts of some characteristic of activity of prediction and importing does not match or extremely do not mate, can select to carry out such analysis.Can use interpolation to replace selecting one group of activity, perhaps re-use interpolation after selecting one group of activity and come to be movable generation forecast, this movable characteristic " looks like " characteristic in the selected activity group.。

[0397] therefore, the system of description and process can be equipped with:

1. import historical demand statistical value

2. movable like selection and/or filtration and the expected activity property class

3. be the statistical value weighting in the movable season of different activities

4. coverage property

5. generation demand forecast

6. check the characteristic value grouping

7. use the sale/demand of interpolative prediction activity

[0398] alternatively, can be one or more seats or value of seating area appointment (for example, dollar value or relative value).In case determine the seat ticket price according to above-mentioned yield management process or alternate manner, can carry out comparison with designated value.If price is different with value, or difference surpasses specific quantity or number percent, shows that the incorrect and/or system mistake of value estimated the demand of one or more prices, correspondingly adjusted value and/or price.

[0399] alternatively, system can follow the tracks of influence, the income of one or more promotions as required, the pure cost and the net income relevant with promotion of promotion.Alternatively, can generate the activity cost report that does not comprise promotion, can determine to comprise promotion activity cost and net income.

[0400] Figure 22 has shown the example user interface of setting up analysis of cash flow (for example new analysis of cash flow).Create new analysis of cash flow, the cash flow estimation is provided, set up initial demand and estimate and the cash flow schedule.In addition, the user specifies one or more analytical parameters.The information source that the user can specify initial demand to estimate, initial cost/income schedule, the quantity of movable pricing tier, floor and ceiling prices uses these to generate Cash flow prospects then.For example, pricing tier may be estimated in demand, admission ticket price and separate in the cash flow clauses and subclauses according to pricing tier works.Floor and ceiling prices is estimated the lower limit and the upper limit are provided for demand, so analysis of cash flow software can take a decision as to whether one or more prices between lowest price rank and the ceiling price rank or lowest price rank or ceiling price rank and approaches or insert the demand of expection exactly enough information is provided.

[0401] Figure 23 has shown cash flow inventory example.The cash flow inventory is represented and the movable relevant expected cost and the itemization of income.Specific inventory clauses and subclauses provide positive or negative cash flow for the total net cash flow of activity.The cash flow of single inventory clauses and subclauses by regular input value (for example can be selected, face amount, security personnel, post-games cleaning, performing artist's expense, food and drink, reduce the price in performing artist's share, extra cost of ticketing system operator or the like) and rule type (for example, fixed qty, each sell the number percent or the like of the cash flow of each seat in admission ticket, the capacity, admission ticket income number percent, another inventory clauses and subclauses) definite.In order to represent dissimilar bona fide costs and income clauses and subclauses better, can select to support multiple different rule type.Positive regular input value is represented positive cash flow (income), and negative regular input value is represented the cash flow (cost) born.

[0402] is the list item given category.These kinds are used for filtering or being limited in the clauses and subclauses that show in the inventory, or are that single kind is specified cash flow optimization.Can be by clicking already present project kind, and from drop-down menu or otherwise select new kind to change the kind of cash flow clauses and subclauses.

[0403] may be selected to be the cash flow that estimation is provided based on one or more clauses and subclauses that conservative demand is estimated, the possibility demand is estimated and optimistic demand is estimated.By to conservative, may can obtain their total net cash flows with the summation of the cash flow of the corresponding clauses and subclauses of optimistic estimate.When the user activates " optimization cash flow " control, the user can input parameter, and according to cash flow inventory and user-defined parameter, system can select a meeting to cause the admission fee of the highest estimation cash flow for one or more zones of action or price range.

[0404] provide the rule type example in Xia Mian the sample table, cash flow computing methodology example, " if " parameter and applicable list item.

Rule type	How to calculate cash flow (single rule input)	How to calculate cash flow (with the input of pricing tier isolation rule)	Cash flow dependence " if " parameter	List item example (application)
					Fixed qty	Import with rule	Each price level	● rule is defeated	● be used for thing

	Be worth identical	The summation of other regular input value	Go into value	The fixed expense of industry management ● the fixed cost of lease venue ● payment performing artist's fixed cost ● fixation of advertisement income ● the fixed cost of promotion
					Every ticket sheet of selling (each participator)	Multiply by the admission ticket total quantity that (estimation will) sells with regular input value	Regular input value with each pricing tier multiply by the admission ticket quantity that this pricing tier is sold, then to these product value summations	● regular input value ● ticket price ● capacity levels ● demand is estimated	● the income of stopping ● security service, the number of wherein ensuring public security is directly proportional with participant's number ● estate management, and wherein expense is directly proportional with " seat of cleaning " quantity
Each seat of capacity	Multiply by venue total volume (in capacity adjustment form, showing) with regular input value	Multiply by the seat of this pricing tier capacity with the regular input value of each pricing tier	● regular input value ● capacity levels	●

		Quantity, and then to the summation of the product value of these each pricing tiers
					The number percent of admission ticket income	Multiply by the gross income of expection with regular input value	Multiply by the expected revenue of this pricing tier with the regular input value of each pricing tier, and then to the product value summation of each pricing tier	● regular input value ● ticket price ● capacity levels ● demand is estimated	● admission fee additional cost ● performing artist's share of income
The number percent of another list item cash flow	Multiply by the positive or negative gross cash flow of the cash flow of another project with regular input value	Multiply by the positive or negative gross cash flow of the cash flow of another project with regular input value, if with suitable, multiply by the positive or negative gross cash flow of each pricing tier (wherein each pricing tier value is summed), then to each price level	● regular input value ● the value that " being linked to " project relies on	● performing artist's share of the income of reducing the price

Other product value summation

[0405] Figure 24 has shown the example user interface that improves cash flow, and the user can use this interface to specify cash flow to improve or parameters optimization.For example, the user can select cash flow to improve target (for example, minimizing net cash flow or maximization net cash flow).The user can select a needs optimization or improve the demand scene of cash flow (for example, the conservative scene of estimating based on conservative demand, based on possible the scene of may demand estimating or based on the optimistic scene of optimistic demand estimation).The user can further be appointed as all list items or its subclass, and for example the project of selecting by filtrator is carried out and optimized or improve.The user activates " optimizing application " control, and software will be carried out cash flow optimization or raising process according to user-specified parameters.The user activates " demonstration admission fee ", will calculate and show that according to user-specified parameters expection optimizes the admission fee of cash flow.

[0406] Figure 25 has shown the example user interface that is used for the estimation of demonstration demand.User interface has shown that the demand estimated (for example, estimation is with the admission ticket quantity of selling) and the comparison of one or more scene admission fee (for example, the conservative scene of estimating based on conservative demand, based on possible the scene of may demand estimating or based on the optimistic scene of optimistic demand estimation).User interface provides some controls, by these controls user can select the pricing tier of diverse ways shaping and the current selection of convergent-divergent and estimate the demand in source to the curve of price (as, by " demand decay ", " using the number percent convergent-divergent " and " matched curve " label).

[0407] label provides distinct methods shaping or convergent-divergent pricing tier that is used for current selection and the demand of estimating the source to price curve.For example, demand decay label can be carried out the exponential fitting of estimating or guessing." precentagewise convergent-divergent " label makes the user can pass through number percent convergent-divergent curve." matched curve " label makes the user indication mechanism carry out the second rank fitting of a polynomial of estimating or guessing." manual conjecture " label makes the user can be for specifying admission fee (for example, being 40 dollars in this example) interpolation demand conjecture (for example, conservative, possible with conjecture optimism).Needn't be for each dollar increment provide conjecture, the user can specify for specific admission fee increment, how scaling requirements (for example, by the number percent scaling requirements) between conjecture.The user can also specify and use what admission fee at next pricing tier.

[0408] user can select one or more demands that provide demand to estimate at one or more selection fare basis (for example, PL1 or PL2) to estimate source (for example, accounting department, ticket office, general manager (GM) or the like).The user can select by the delegation that clicks in estimation source and the pricing tier table.

[0409] estimates by finish demand when creating new cash flow component for the abundant demand conjecture of the approximate demand interpolation of price between the minimum or the highest admission fee (for example, the user provides).In this respect, the demand that the certain price rank is finished is estimated with color coding or is otherwise emphasized.In the example that shows, " PL1 " finishes, and " PL2 " do not finish.Demand conjecture matrix is made form to a plurality of admission ticket demand conjectures in a plurality of price point.

[0410] mouse is moved on the figure as the user, can be (for example in corresponding field, " price " field, " guarding " field, " possibility " field and " optimism " field) in show that corresponding admission fee is conservative accordingly, possible and demand optimism approximate (comprise, but be not restricted to conjecture).Estimation that can the weighted sum combination results generates the curve of another potential demand to admission fee.

[0411] Figure 26 has shown the example user interface of adjusting seating capacity between price or lowest bid rank.This user interface can enables users be adjusted to another pricing tier to the seating capacity of a pricing tier, thereby improves cash flow.In this example, the user can select from two different pricing tiers (PL1 and PL2), and between pricing tier the adjustment capacity.In case selected pricing tier, can use size field or sliding damper adjustment capacity between pricing tier.Can use the pricing tier that the pricing tier field is selected and demonstration is being used.Use the input of corresponding size field and/show the current capacity that is assigned to each pricing tier.The venue size field shows the capacity of venue.

[0412] also the capacity levels of one group of each pricing tier can be saved as and preset.For venue (for example, the upper and lower of theater) fixing, that " natural " separated is arranged between pricing tier, this is useful.Activating " preservation " control can preset according to new capacity levels of capacity establishment of current demonstration.Can preset name by double-click, or click and preset name, click " loading " button loading then and preset capacity levels.

[0413] uses one or more disclosed in this article processing procedures and device, can be more near market value admission fee is set, thereby guarantee more just price, reduced the ability that admission ticket middle man and ox party utilize price difference between admission ticket face amount and the market value, wherein admission ticket middle man and ox party bought admission ticket before most users attempt buying admission ticket, then with the price above par far away admission ticket of reselling.Therefore, fairness and efficient in the booking process have been strengthened.

[0414] though preceding detailed description discloses examples more of the present invention, need should be appreciated that these only are illustrative openly, be not limitation of the present invention.It will be appreciated that disclosed customized configuration and operation can be with above-described those be different, other scope use that method described herein can be ticketing system outside.

Claims (168)

1. method of setting admission fee, this method comprises:

In computer-readable memory, be stored in potential participant's the estimated value of first group size of first activity of certain venue, described first colony comprises at least the first group and second group, the member of wherein said first group has first motivation of participating in described first activity, and the member of described second group has second motivation of participating in described first activity;

The estimated value of the described first group's size of storage in computer-readable memory;

The estimated value of storage first price thresholds in computer-readable memory, the member of described first group at least the first number percent can buy event ticket in described first price thresholds;

The estimated value of the described second group's size of storage in computer-readable memory;

The estimated value of storage second price thresholds in computer-readable memory, the member of described second group at least the second number percent can buy event ticket in described second price thresholds;

The information of a plurality of venue seating areas of storaging mark in computer-readable memory;

The 1st limit of the admission ticket quantity that can buy at least one venue seating area from the computer-readable memory calling party; With

To small part based on described first group's size, described second group's size, described first price thresholds, described second price thresholds and described 1st limit, set the minimum at least first event ticket price.

2. method according to claim 1, wherein said first motivation is in order to make a profound impression to others.

3. method according to claim 1, the member of wherein said first group trends towards only buying expensive relatively event ticket.

4. method according to claim 1, the member of wherein said first group trends towards only buying relatively cheap event ticket.

5. method according to claim 1, the member of wherein said first group has high relatively income.

6. method according to claim 1, the member of wherein said first group has low relatively income.

7. method according to claim 1, the member of wherein said first group comprises the admission ticket middle man.

8. method according to claim 1, described method further comprise visit and patience relevant first parameter of described first group to obtaining admission ticket.

9. method according to claim 1, wherein said second motivation is about the interest to activity.

10. method according to claim 1, wherein said second motivation is with social relevant.

11. method according to claim 1, further comprise the visit first lowest fare, wherein to small part based on described first lowest fare is set in first income assurance of first entity.

12. a method of setting admission fee, this method comprises:

Storage is corresponding to first group of potential movable participant's first size estimation in computer-readable memory, and wherein first group membership's characteristic can be represented with the first income rank;

Storage is corresponding to second group of potential movable participant's second size estimation in computer-readable memory, and wherein second group membership's characteristic can be represented with the second income rank;

In computer-readable memory storage about first group be ready first indication of the activity admission fee paid to the small part member;

In computer-readable memory storage about second group be ready second indication of the activity admission fee paid to the small part member; With

Indicate based on described first size estimation, described second size estimation, described first indication and described second to small part, set the minimum first activity admission fee.

13. method according to claim 12, wherein said first group member is relevant with first motivation of participating in described activity.

14. method according to claim 12, wherein in order to make a profound impression to others, described first group member may buy relatively costly retractable seat.

15. method according to claim 12, wherein first group member may with the purpose participation activity of other people contacts.

16. method according to claim 12, wherein first group member may only buy relatively cheap event ticket.

17. method according to claim 12, wherein first group member has high relatively income and/or a large amount of relatively disposable incomes.

18. method according to claim 12, wherein first group member has low relatively income.

19. method according to claim 12, wherein first group member comprises the admission ticket middle man of the admission ticket of reselling.

20. method according to claim 12, this method further comprises:

Visit and patience relevant first parameter of described first group membership to obtaining admission ticket,

Wherein part is based on the described first activity admission fee of described first parameter setting.

21. method according to claim 12, this method further comprises:

Read a user and can buy the 1st limit what open event ticket,

Wherein part is set the described first activity admission fee based on described 1st limit.

22. method according to claim 12, this method further comprises:

Read the first minimum admissible activity admission fee,

Wherein part is set the described first activity admission fee based on the described first minimum admission fee that allows.

23. method according to claim 12, this method further comprises:

Access history ticket sales data,

Wherein part is based on the described first activity admission fee of historical ticket sales data setting.

24. method according to claim 12, this method further comprises:

The access activity cost data,

Wherein part is based on the described first activity admission fee of described activity cost data setting.

25. method according to claim 12, this method further comprises:

Visit the historical ticket sales data relevant with the admission ticket of reselling,

Wherein part is based on the described first activity admission fee of the described historical ticket sales data setting relevant with the admission ticket of reselling.

26. method according to claim 12, this method further comprises:

The described first group member of first at least that visit is estimated is ready the middle admission fee paid,

Wherein part is set the described first activity admission fee based on admission fee in the middle of described.

27. method according to claim 12, this method further comprises:

Visit and relevant historical sales data of discount sale at least one activity,

Wherein part is based on described and the described first activity admission fee of the historical sales data setting that reduces the price relevant.

28. method according to claim 12, this method further comprises:

Visit and the relevant historical sales data of movable income,

Wherein part is set the described first activity admission fee based on described historical income data.

29. method according to claim 12, this method comprise that further part is based on described and the described first activity admission fee of the historical sales data setting that reduces the price relevant.

30. method according to claim 12, this method further comprise to small part be that admission fees are set in a plurality of venues zone based on described and the historical sales data of reducing the price relevant with admission ticket.

31. method according to claim 12, this method further comprise the cost data that visit is relevant with the input activity,

Wherein part is set the first activity admission fee based on described cost data.

32. a method of setting admission fee, this method comprises:

Storage is corresponding to first group of potential movable participant's first size estimation in computer-readable memory, and wherein said first group membership's characteristic can be obtained the first relevant parametric representation of patience with first rank income and/or with admission ticket;

Storage is corresponding to second group of potential movable participant's second size estimation in computer-readable memory, and wherein said second group membership's characteristic can be obtained the second relevant parametric representation of patience with the second level income and/or with admission ticket;

Storage is ready first indication of the activity admission fee paid about described first group to the small part member in computer-readable memory;

Storage is ready second indication of the activity admission fee paid about described second group to the small part member in computer-readable memory; With

Indicate based on described first size estimation, described second size estimation, described first indication and described second to small part, set the minimum first activity admission fee.

33. method according to claim 32, this method further comprises:

The access activity cost data,

Wherein part is based on the described first activity admission fee of described activity cost data setting.

34. method according to claim 32, this method further comprises:

Visit the historical ticket sales data relevant with the admission ticket of reselling,

Wherein part is based on the described first activity admission fee of the described historical ticket sales data setting relevant with the admission ticket of reselling.

35. method according to claim 32, this method further comprises:

Visit estimates that the described first group member of first at least is ready the middle admission fee paid,

Wherein part is set the described first activity admission fee based on admission fee in the middle of described.

36. method according to claim 32, this method further comprises:

Visit and movable relevant historical income data,

Wherein part is set the described first activity admission fee based on the relevant historical income data of described activity.

37. a method of setting admission fee, this method comprises:

Read the 1st limit of the event ticket quantity that a user can buy,

Wherein part is set the described first activity admission fee based on described 1st limit.

38. a method of setting admission fee, this method comprises:

Read the first minimum admissible activity admission fee,

Wherein part is set the described first activity admission fee based on the described first minimum admissible admission fee.

39. a method of handling the electronic force column data, this method comprises:

Determine or estimate the quantity of the request relevant in the first electronics formation with admission ticket;

To quantity and the historical formation forgo data of small part based on the described request relevant with admission ticket in the first electronics formation, being chosen as has at least one of the request relevant with admission ticket user that notification type about formation is provided in the formation; With

To with formation in have at least one user-dependent terminal of the request relevant to transmit the corresponding notice of this notification type with admission ticket.

40. according to the described method of claim 39, wherein select described notification type with reduce the user in abandoning lining up with the quantity admission ticket association requests.

41., wherein use the notification type of described selection to represent to be rounded up to the formation stand-by period of the most approaching minute estimation according to the described method of claim 39.

42., wherein use the notification type of described selection to represent to be less than the formation stand-by period of specifying the duration according to the described method of claim 39.

43., wherein use the notification type of described selection to represent not comprise formation stand-by period notification of information about formation according to the described method of claim 39.

44. according to the described method of claim 39, wherein part abandon being willing to before the request relevant the duration that is intended to wait in the formation with admission ticket based on one or more users history on average and/or standard deviation, select the notification type of described selection.

45. a method of handling the electronic force column data, this method comprises:

Visit the historical formation forgo data of at least one admission ticket formation, wherein said forgo data is relevant with the request of being correlated with admission ticket during the user abandons lining up;

To small part based on described historical formation forgo data, be chosen as the queuing message type that at least one user of the request relevant with admission ticket of queuing provides; And

To sending notice with at least one user-dependent terminal, wherein said notice comprises the information of the queuing message type that meets selection, and described user has the request relevant with admission ticket of a queuing.

46., wherein select described queue message type to abandon to reduce formation according to the described method of claim 45.

47., wherein select described queuing message type to abandon to increase formation according to the described method of claim 45.

48. according to the described method of claim 45, the queuing message type of wherein said selection comprises the formation stand-by period of the estimation that is rounded up to the most approaching minute.

49. according to the described method of claim 45, wherein said notice represents to be less than the formation stand-by period of the duration of appointment.

50. according to the described method of claim 45, the queuing message type of wherein said selection does not comprise formation stand-by period information.

51. according to the described method of claim 45, wherein part abandons being willing to before the request relevant with admission ticket the on average historical and/or standard deviation selection queuing message type of the duration that is intended to wait in the formation based on one or more users.

52. according to the described method of claim 45, the wherein said request relevant with admission ticket is the request of buying at least one ticket sheet.

53. according to the described method of claim 45, the wherein said request relevant with admission ticket is the request of checking the admission ticket availability.

54. a method of handling the electronic force column data, this method comprises:

Receive in the formation from the admission ticket relevant request of first user first activity;

Be described first movable definite seat availability;

To small part based on the request relevant actual, estimate or relative position and seat availability in formation with admission ticket, estimate whether the seat available when described first user's the request relevant with admission ticket is serviced; With

When estimating to show that the seat is unavailable when first user's the request relevant with admission ticket is serviced, provide indication to the user, show that the seat is unavailable.

55. according to the described method of claim 54, wherein the service request relevant with admission ticket comprises whether judgement has the available in-seat corresponding to described request.

56. according to the described method of claim 54, this method further is included as first user information about second activity is provided, and wherein arranges same performing artist to participate in first movable and second activity.

57. according to the described method of claim 54, this method further comprises partial response at least in showing the disabled estimation in seat when first user's the request relevant with admission ticket is serviced, for first user provides information about second activity.

58. according to the described method of claim 54, this method comprises that further partial response at least is in show the disabled estimation in seat when first user's the request relevant with admission ticket is serviced, for first user provides information about second activity, wherein use and unite second activity of selection of filtering to small part.

59. a method of handling the electronic force column data, this method comprises:

Receive in the formation from the admission ticket relevant request of first user first activity; With

To small part based on the request relevant actual, estimate or relative position and retractable seat availability in formation with admission ticket, optionally show that to first user seat is unavailable or possible unavailable when first user's the request relevant with admission ticket is serviced.

60. according to the described method of claim 54, wherein the service request relevant with admission ticket comprises whether the corresponding seat of judgement described request is available.

61. according to the described method of claim 54, this method comprises that further partial response at least is in show disabled estimation in seat or judgement when first user's the request relevant with admission ticket is serviced, for first user provides information about second activity, wherein arrange same performing artist to participate in first movable and second activity.

62. according to the described method of claim 54, this method comprises that further partial response at least shows disabled estimation in seat or judgement when first user's the request relevant with admission ticket is serviced, for first user provides information about second activity, wherein determine the performing artist of second activity of participating in about the information of second activity, wherein the performing artist of Que Dinging is not arranged in the first movable performance.

63. according to the described method of claim 54, this method comprises that further partial response at least is in show disabled estimation in seat or judgement when first user's the request relevant with admission ticket is serviced, for first user provides information about second activity, wherein use and unite second activity of selection of filtering to small part.

64. one kind for resource requestor provides the method for queue message, this method comprises:

The position of resource request in formation of judging or estimating to be associated with first requestor;

Whether judgement or estimation requested resource when the request in the queuing is serviced is available; With

If the request in queuing is estimated when serviced or is judged that requested resource is unavailable, then send message to first requestor by network, show that requested resource was unavailable when request in lining up was serviced.

65. according to the described method of claim 64, this method further comprises: partial response is that first requestor determines another potential resource in judging when the request in the queuing is serviced or estimating that requested resource is unavailable automatically at least.

66. according to the described method of claim 64, this method further comprises: partial response is judged when serviced or is estimated that requested resource is unavailable in the request in queuing at least, uses to filter and determines another resource that may be accepted by first requestor automatically.

67. according to the described method of claim 64, when serviced this method further comprise to the requestor and send time interval with resource request relevant estimation.

68. a queuing system, it comprises:

Be configured to handle first formation from a plurality of users' resource request;

The program code of configuration store in computer-readable memory, so that:

Whether judgement or estimation first resource request institute requested resource that first requestor submits to when first resource request is serviced be available; With

If estimation or judgement requested resource when first request is serviced is unavailable, send message by network to first requestor, show that requested resource is unavailable when the request in the queuing is serviced.

69. according to the described system of claim 64, this system further comprises the program code that is stored in the computer-readable memory, this program code is configured to: partial response is that first requestor determines another potential resource automatically in judging when first request is serviced or estimating that requested resource is unavailable at least.

70. according to the described system of claim 64, this system further comprises the program code that is stored in the computer-readable memory, this program code is configured to: partial response determines to be applicable to another resource of first requestor automatically in judging or estimating that requested resource is unavailable when the request in the queuing is serviced at least.

When serviced 71. according to the described system of claim 64, this system further comprises the program code that is stored in the computer-readable memory, this program code is configured to: send time interval with resource request relevant estimation to the requestor.

72. the method that the visit admission ticket is provided, this method comprises:

Send with first participation cost to first user by network and to participate in the invitation that first event ticket is sold the phase one;

Receive the indication that invitation has been accepted by first user by network in ticketing system;

In the phase one of ticket sales, by the admission ticket request of network reception from described first user; With

At least partial response receives described admission ticket request, determines that first user is eligible for the phase one of ticket sales.

73., further comprise: judge during the phase one, to have how many seats to use based on the number of users of payment first participation cost to small part according to the described system of claim 72.

74. according to the described system of claim 72, wherein said first participation cost can not be returned.

75. according to the described system of claim 72, if wherein described first user does not buy admission ticket during the phase one, described first participation cost can be returned.

76. according to the described system of claim 72, this method further comprises the invitation of participating in the subordinate phase of first event ticket sale by the network transmission with second participation cost, wherein said subordinate phase occurred in after the described phase one, and described second participation cost is lower than described first participation cost.

77. according to the described system of claim 72, this method further comprises to be made a plurality of users participate in another stage of ticket sales and need not pay participation cost.

78. according to the described system of claim 72, wherein have only the qualified payment participation cost of certain user, thereby participate in the phase one of ticket sales.

79., wherein have only the member of the fan club that is associated with the performing artist of first activity according to the described system of claim 72.

80., wherein have only described first participation cost of the qualified payment of holder of first kind credit card according to the described system of claim 72.

81. the method that the admission ticket visit is provided, this method comprises:

As the exchange of first extra cost that first user is provided, send the invitation that participation first event ticket is sold the phase one to first user by network;

Receive indication by network in ticketing system, show that invitation is by described first user acceptance;

During the phase one of ticket sales, by with the admission ticket relevant request of network reception from described first user; With

At least partial response determines that in the relevant request of the admission ticket that receives first user is eligible for the phase one of ticket sales.

82. 1 described method according to Claim 8, this method further is included as first user password or link is provided, and by this password or link first user indication can be provided, represents that first user is eligible for the phase one of ticket sales.

83. 1 described method according to Claim 8, wherein the admission ticket of selling during the described phase one is all sold with fixing admission fee.

84. 1 described method according to Claim 8, wherein the admission ticket of selling during the described phase one is all sold with auction.

85. 1 described method according to Claim 8 further comprises to small part and judges have how many seats to use based on the number of users of payment first extra cost during the phase one.

86. 1 described method according to Claim 8, wherein said first extra cost can not be returned.

87. 1 described method according to Claim 8, if wherein during the described phase one first user do not buy admission ticket, described first extra cost is returnable.

88. 1 described method according to Claim 8, this method further comprises the invitation of participating in the subordinate phase of first event ticket sale by the network transmission with second extra cost, wherein said subordinate phase occurred in after the described phase one, and described second extra cost is different from described first extra cost.

89. 1 described method according to Claim 8, this method further comprises makes a plurality of users participate in another stage of ticket sales, and need not provide extra cost.

90. 1 described method wherein is provided by the qualified phase one that provides extra cost to participate in ticket sales of certain user according to Claim 8.

91. qualified phase one that provides first extra cost to participate in ticket sales of member of the fan club that is associated with the first movable performing artist wherein is provided for 1 described method according to Claim 8.

92. qualified phase one that provides first extra cost to participate in ticket sales of holder of first kind credit card wherein is provided for 1 described method according to Claim 8.

93. the method for a dynamic setting activity admission fee:

To small part be first movablely to set initial seat ticket price based on historical ticket sales data and historical act income data;

Monitor the first event ticket sales data, and with the ticket sales data storage in computer-readable memory; With

Based on ticket sales historical data movable before the ticket sales data of first activity, at least one, the second seat ticket price that shows of appointment the price adjustment restriction of how many price differences can be arranged with initial seat ticket price to small part, sell the beginning back setting second seat ticket price in event ticket.

94. according to the described method of claim 93, this method further comprises according to being stored in predetermined schedule in the computer-readable memory, the time of selling seat ticket with the described second seat ticket price is set.

95. according to the described method of claim 93, this method comprises that further part is based on the described initial seat ticket price of activity cost data setting.

96. according to the described method of claim 93, wherein said historical act income data comprises the historical income of stopping.

97. according to the described method of claim 93, this method further comprises from the computer-readable memory visit indication about the maximum times of the seat ticket price adjustment that can carry out described first activity.

98., wherein do not set the described second seat ticket price based on selling the seat stock to small part according to the described method of claim 93.

99. according to the described method of claim 93, this method further comprises the seat ticket selling time that the admission fee second seat ticket price is set according to the remaining time interval before movable at least.

100. according to the described method of claim 93, this method further comprises directly at least one user's send Email, short message and/or instant message, for the user provides the information relevant with setting second admission fee.

101. according to the described method of claim 93, this method further comprises the seat that distribution is unnecessary, the admission ticket of these seat correspondences can obtain in certain time after the event ticket sale beginning, before the movable beginning.

102. according to the described method of claim 93, this method further comprises:

Issue unnecessary seat, the admission ticket of these seat correspondences can obtain in certain time after the event ticket sale beginning, before the movable beginning;

Determine that at least one user's request provides notice for it when the unnecessary seat of distribution; With

Send about issuing the notice at unnecessary seat at least one user.

103. according to the described method of claim 93, wherein part is selected sufficiently high initial seat ticket price, thereby reduces the seat ticket quantity of being bought by specific admission ticket buyer, and then reduces isolated retractable seat quantity.

104. according to the described method of claim 93, wherein part is selected the initial seat ticket price and/or the second seat ticket price, thereby reduces isolated retractable seat quantity.

105. method of dynamically setting the event ticket price:

To small part be first movable to set initial seat ticket price based on historical ticket sales data;

The schedule that at least seat ticket price of storage reduces in computer-readable memory; With

By the schedule of network at least seat ticket price reduction of the terminal transmission relevant with potential admission ticket buyer.

106. according to the described method of claim 105, this method further comprises the quantity that reduces to described terminal shipment price.

107. according to the described method of claim 105, this method further comprises to described terminal transmission relevant with seat ticket reduction schedule:

Activity name;

The movable date;

The sign of at least one available in-seat and current corresponding seat admission fee; With

The restricted number of this event ticket that potential admission ticket buyer can buy.

108. according to the described method of claim 105, the schedule of wherein said transmission comprises the date of at least seat ticket price reduction.

109. according to the described method of claim 105, the schedule of wherein said transmission comprises the time of at least seat ticket price reduction.

110., wherein select the quantity of at least seat ticket price reduction based on historical ticket sales data to small part according to the described method of claim 105.

111. according to the described method of claim 105, wherein to small part based on the described initial seat ticket price of historical discount sale data setting.

112., wherein set described initial seat ticket price based on the historical act income data to small part according to the described method of claim 105.

113. according to the described method of claim 105, this method further comprises at least to user's send Email, short message and/or an instant message, notifies user's ticket price to reduce.

114. according to the described method of claim 105, this method further comprises the unnecessary seat of distribution, corresponding admission ticket can be after event ticket be sold beginning, certain time before the movable beginning obtains.

115. according to the described method of claim 105, this method further comprises:

Issue unnecessary seat, corresponding admission ticket can be after event ticket be sold beginning, certain time before the movable beginning obtains;

Determine that at least one user's request provides notice for it when the unnecessary seat of distribution; With

Send about issuing the notice at unnecessary seat at least one user.

116. method of dynamically setting the event ticket price:

Storage is sold the relevant information of pattern of wishing with first event ticket;

The long-term actual ticket sales of monitor activities; With

To pattern and the actual ticket sales that small part is wished based on activity, set at least the first seat ticket price, wherein after selling beginning, event ticket sets the first seat ticket price.

117. according to the described method of claim 116, wherein the pattern of Xi Wanging is to the actual ticket sales of small part based at least one historical act.

118. according to the described method of claim 116, this method further comprises to the terminal transmission relevant with the potential buyer:

Activity name;

The movable date;

The sign of at least one available in-seat;

The first seat ticket price; With

The restricted number of this event ticket that potential admission ticket buyer can buy.

119. according to the described method of claim 116, wherein before setting the described first seat ticket price, to small part based on the historical act income data, comprise the discount sale data, set initial seat ticket price.

120. according to the described method of claim 116, this method comprises further that at least one user's send Email, short message and/or instant message notifying user's admission fee is the availability of the seat ticket of first admission fee.

121. according to the described method of claim 116, this method further comprises the distribution seat, corresponding admission ticket can obtain by first admission fee.

122. a method of setting the admission ticket lowest bid in the admission ticket auction, this method comprises:

To small part be that first movable first group of seat ticket set initial lowest bid based on the historical sales data; With

To the quotation information of small part based on first activity, be that second group of seat ticket of first activity set lowest bid, wherein said second group of seat ticket carries out auction behind described first group of seat ticket.

123. according to the described method of claim 122, wherein said quotation information comprises and the information relevant to the quotation quantity of first event ticket that receives.

124. according to the described method of claim 122, wherein said quotation information comprises and the relevant information of first event ticket quotation speed.

125. according to the described method of claim 122, wherein said historical sales data comprise the historical income of stopping.

126. according to the described method of claim 122, wherein said historical sales data comprise the history income of reducing the price.

127. according to the described method of claim 122, wherein said historical sales data comprise historical ticket sales data.

128. according to the described method of claim 122, this method comprises that further reading the lowest bid adjustment from computer-readable memory limits.

129. according to the described method of claim 122, this method further comprises:

Read first lowest bid adjustment restriction from computer-readable memory,

Wherein be that second group of seat ticket setting lowest bid is limited by first lowest bid adjustment restriction.

130., wherein do not set second lowest bid based on selling the seat stock to small part according to the described method of claim 122.

131., wherein according to the remaining time interval before movable is set the time that the seat ticket that is associated with second lowest bid is sold in auction at least according to the described method of claim 122.

132. according to the described method of claim 122, this method further comprises:

Seat ticket outside certain time amount issued after the event ticket auction begins, before the movable beginning;

Determine that at least one user's request provides notice when the seat is used for auction outside the amount issued; With

Send and the relevant notice of extra seat distribution at least one user.

133. according to the described method of claim 122, this method further comprises storage and at least one lowest price that is associated by the seat ticket of auction, wherein this lowest price is not open to the quoter before the completion of an auction of at least one seat ticket.

134. according to the described method of claim 122, this method further comprises:

Determine the quotation of winning of the corresponding admission ticket in first group of seat, the quotation of wherein winning comprises the highest lowest bid of winning and offering and coming from second quoter of coming from first quoter;

Calculating is lower than the highest first ticket price of winning and offering and being higher than the minimum quotation of winning;

For at least one ticket sheet is collected described first ticket price to described first quoter; With

For at least one ticket sheet is collected described first ticket price to described second quoter.

135. according to the described method of claim 134, further comprise except described first ticket price also to described first quoter collect the transportation and/or service fee.

136. one kind is the movable method of setting ticket price, this method comprises:

Provide the investigation relevant with ticket price by network at least the first user, wherein this investigation requires described first user that the indication that is worth about seat, a plurality of venues zone is provided;

Receive investigation result, comprise investigation reaction and/or the information of deriving and drawing from the investigation reaction;

Visit is stored in the ticket sales historical data in the computer-readable memory;

Visit is stored in the discount sale data in the computer-readable memory;

The cost data that provides for activity in the computer-readable memory is provided in visit; With

Set at least the first ticket price and/or the first lowest bid quantity based on investigation result, ticket sales historical data, cost data to small part.

137. according to the described method of claim 136, wherein said investigation requires first user to provide monetary value at least one ticket sheet in the first venue zone and a ticket sheet in the second venue zone.

138. according to the described method of claim 136, wherein said investigation requires first user to provide about the suggestion to mass discrepancy between second seat in first seat in the first venue zone and the second venue zone.

139., wherein before event ticket is started selling, provide described investigation for first user according to the described method of claim 136.

140. according to the described method of claim 136, wherein provide described investigation for first user, wherein only limit to sale to potential admission ticket buyer subclass at the event ticket selling period.

141. according to the described method of claim 136, wherein provide described investigation at the event ticket selling period for first user, wherein said sale is open to the public.

142., wherein in the middle of admission ticket selection or admission ticket purchasing process, provide described investigation for first user according to the described method of claim 136.

143. according to the described method of claim 136, wherein said investigation requires first user for seats and/or seating area provide the seat rank in a large number.

144. according to the described method of claim 136, wherein said investigation requires first user to provide rank and/or appraisal for nominated bank.

145. according to the described method of claim 136, wherein said investigation requires first user to provide rank and/or appraisal for the specified portions of delegation.

146. one kind is the movable method of selecting admission fee, this method comprises:

Provide and seat rank and/or the relevant investigation of appraisal at least the first user by network, wherein said investigation requires first user to provide about the market value at seat, a plurality of venues zone and/or the indication of rank;

Receive investigation result, comprise investigation reaction and/or the information of deriving and drawing from the investigation reaction;

Visit is stored in the historical sales data in the computer-readable memory;

Set at least the first ticket price and/or the first lowest bid quantity based on investigation result and ticket sales historical data to small part.

147. according to the described method of claim 146, wherein said investigation requires first user to provide monetary value for first seat ticket in the first venue zone and second seat ticket in the second venue zone.

148. according to the described method of claim 146, wherein said investigation requires first user that indication about first seat, first venue zone and second venue zone, the second seat mass discrepancy is provided.

149., wherein before event ticket is started selling, provide described investigation for first user according to the described method of claim 146.

150., wherein before event ticket begins auction, provide described investigation for first user according to the described method of claim 146.

151. according to the described method of claim 146, wherein during ticket sales for first user provides described investigation, wherein sell the subclass only limit to potential admission ticket buyer.

152. according to the described method of claim 146, wherein during ticket sales for first user provides described investigation, wherein sell open to the public.

153., wherein in admission ticket selection or admission ticket purchasing process, provide described investigation for first user according to the described method of claim 146.

154. according to the described method of claim 146, wherein partial response has been bought at least one ticket sheet in definite first user at least, for first user provides described investigation.

155. according to the described method of claim 146, wherein partial response has been abandoned first request relevant with admission ticket in definite first user at least, for first user provides described investigation.

156. according to the described method of claim 146, wherein said investigation requires first user for seats and/or seating area provide the seat rank in a large number.

157. according to the described method of claim 146, wherein said investigation requires first user to provide rank and/or appraisal for nominated bank.

158. according to the described method of claim 146, wherein said investigation requires first user to provide rank and/or appraisal for the specified portions of delegation.

159. according to the described method of claim 146, this method further is included in and is at least one event ticket setting admission fee after event ticket is sold beginning.

160. a system that improves income, this system comprises the code that is stored in the computer-readable memory, disposes this program:

User interface is provided, can defines and/or select activity characteristic about first activity by this user interface user;

User interface is provided, moveable filter can be set, use this filtrator location one or many historical acts corresponding to described filtrator by this user interface user;

For the user provides speed is sold in the prediction of first activity.

161. according to the described system of claim 161, wherein select described activity characteristic from one group of characteristic, this group characteristic comprises at least one in the following properties:

Main performing artist;

Auxiliary performing artist;

The performance date;

In one week what day;

In one day when;

Venue.

162., wherein go back the value counting of configuration code reception corresponding at least one characteristic according to the described system of claim 161.

163. according to the described system of claim 161, wherein go back the remap indication of configuration code reception, show that mapping first characteristic value is to second characteristic value from the user.

164. the system of a potential demand, this system comprises the code that is stored in the computer-readable memory, disposes this code:

Storage is by the estimated value of first information source to first demand of first activity in computer-readable memory;

Storage is by the estimated value of second information source to second demand of first activity in computer-readable memory;

Visit second weighting of first weighted sum from computer-readable memory; With

Use the described first demand estimated value, the described second demand estimated value, described second weighted calculation of described first weighted sum the 3rd demand estimated value.

165. the system that the demand estimated information is provided, this system comprises the code that is stored in the computer-readable memory, disposes this code:

Generate graphic presentation, this graphic presentation comprises:

The demand factor data of a plurality of historical acts;

To the demand factor data of activity prediction in the future, wherein the demand factor data that should predict are to the demand factor data of small part based on the described a plurality of historical acts of at least a portion.

166. according to the described system of claim 165, this system further comprises the code that is stored in the computer-readable memory, disposes this code:

Can make the user can select the subclass of demand factor data of described a plurality of historical acts of graphic presentation; With

Generate the relevant graphic presentation of the activity characteristic related with selected subclass.

167. the system of the flow information of putting up cash, this system comprises the code that is stored in the computer-readable memory, disposes this code:

Show a plurality of rule inputs and corresponding rule type; With

Corresponding to described a plurality of rule inputs, the cash flow of conservative estimation, the cash flow of optimistic estimate are provided, and/or the cash flow of the estimation of cash flow value between the cash flow of the cash flow of conservative estimation and optimistic estimate.

168. a system of selecting admission fee to improve income, this system comprises the code that is stored in the computer-readable memory, disposes this code:

Receiving user's cash flow increases instruction,

Wherein the user can select from a plurality of activity need scenes, and

The user can indicate which cost and the receipt item to be used to generate cash flow raising process; And

Be at least the user and present first admission fee, wherein generate first admission fee based on cash flow raising process to small part.

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