CN105229684A - System for controlling and optimizing information distribution between users in information exchange - Google Patents
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Abstract
An automated control system for regulating the exchange of information between an information producer and an information consumer. A control mechanism may dynamically refine decisions to include or exclude information items from a consumer's information stream to improve success metrics for similar participation. One or more system interface request control mechanisms may dynamically provide limits on audience goals, priorities, preferences, and other data for stimuli and inputs. The administrator may set parameters and select success metrics to balance the goals of the information exchange participants and the goals of the stakeholders. The system may also be used to resolve conflicts between the selection criteria of the consumer and the audience goals of the producer.
Description
The cross reference of related application
This application claims the interests being numbered the temporary patent application of EI726604039US by BrianDMcFadden at the application article that on March 15th, 2013 submits to.
Background
Wherein user or member exchange the major defect in the services such as the such as social networks of information, customer group, listserv, forum and question and answer service is can not more accurately and the best information flow regulated between wright and consumer.It is also relevant with participant that some way has put to make these exchange ALARA Principle in place, but these ways lack potential optimization or substantially improve the dynamically refinement automatically needed for the target of shareholder.One of them group and another group are exchanging the similar problem of other service facing of the service of such as news Aggreagation, newspaper, magazine, media, advertising network, blog, research service etc. of information.
A kind of in the partial solution that many message exchanges use adds group that information consumption user can subscribe to or use, mark or theme to screen their available information collection.This is a kind of improvement, but not total solution, because increase theme quantity to remain poor efficiency, because consumption user must be selected between the low rate of information flow and some the valuable items of information may lost from peripheral theme with the information rate that reduces every theme and produce.Once they subscribe to peripheral theme, then information rate and value dilution increase.Even if the interest of information consumer is comprised in single theme, but if having many items of information in given theme, then still likely can cause the variability of the interest to a certain degree of special poor efficiency.
Another problem with the method only relying on theme is that information consumption user designated key is selected.In view of the theme body of constantly change and evolution, this is problematic especially.Technology is often adopted the preference or the interest that obtain and enlighten (revel) from the prior actions of the activity of user.Various method be available (public and proprietary both) with based on the behavior in past and mutual (such as click and check historical record), collaborative screening suggestion, machine learning and other identify item of interest.These methods be information consumer produce one group may have conflict or there is the applicability of different range and the preference of result precision.Derive the uncertainty of preference also by difference.For adapting to these situation Type, preference is often applied by rank order by rank.This method has the wright that do not consider dynamic outer factor, message exchange state, item of information and they are to the limitation of the Target Preference of item of information.These and other factors may have an impact to the applicability of the preference of information consumer (particularly when there is the expectation uncertainty of the preference obtained).
Another facilitates problem to be reduce or eliminate the way that information wright inputs many message exchanges of any restriction of item of information.But this method is encouraged quantity is also caused finally reducing the variable contribution quality of the value of potential consumer in this is mutual and underestimate the problem stated up to now.This situation may can not obviously change (even when there is the currency assessment to contribution).Although pay be possible with the restriction of quality association, do not guarantee to realize more excellent quality level.
Although multiple method can be used for controlling to the information flow of user, and allows user's self-control information flow, in many cases, they normally suboptimum, non-dynamic with invalid.
Accompanying drawing is sketched
The example that Fig. 1 descriptor exchanges.
Fig. 2 describes the mutual example of wright.
Fig. 3 describes the mutual example of general user.
Fig. 4 describes the mutual example of consumer.
Fig. 5 describes the example of basic decision matrix, wherein, does not have behavior priority level show needle to wright downward vertically and along the audience objective of level.
Fig. 6 illustrates the exemplary embodiment of the decision matrix with behavior priority level.
Fig. 7 illustrates the exemplary embodiment with continuous priority.
Fig. 8 comprises region and threshold line for decision-making grid or decision matrix.
Fig. 9 describes the restriction of audient's number.
Figure 10 describes the system interface for inputting audience objective.
Describe in detail
The example of message exchange 29 is shown in Figure 1.The user 20 of message exchange 29 can be information wright 22 or information consumer 28 or both.Item of information 24 is sent to information consumer 28 from information wright 22 by message exchange 29.In the most general definition, message exchange is made up of one or more wright, one or more consumer and distributor 26.How distributor 26 provisioning information item flows to consumer from wright.
Distributor 26 can adopt various ways, such as, comprise simply by publisher to consumer, sender to the message switching of recipient, distribution-subscription, or wherein information is sent to any other form of consumer from wright.Distributor 26 will comprise such as wherein consumer association (friend) or follow one or more wright or add the situation of group, or wherein wright and consumer have agreed to follow each other or associate or exchange information allow the situation that other groups also so do.Distributor 26 can support or not support to subscribe to.Supported if subscribed to, then consumer 28 can be subscribed to one, several or ownership system author.If distributor 26 does not support to subscribe to, then consumer 28 can receive from ownership system author.One or more wright 22 can be had.One or more consumer 28 can be had.Message exchange 29 can be group in social networks, social networks, listserv, news Aggreagation service, news are sent, newsletter, digest, bid, warning, advertising renewal, advertising network, email client, NEWSERADER, web browser, portal website or promote that item of information flows to any service of consumer from wright.
Wright 22 will send, post, place, contribute, issue, write, create, indicate, respond or otherwise cause other users one or more that information is distributed to message exchange or the user 20 that can be watched by it.Fig. 1 is not each details in order to show information flow.
Information consumer 28 to receive the user being derived from the item of information of wright.Consumer 28 can maybe cannot consume they can item of information.
The person that it may be noted that forming label is relevant to Infomiation Production and information consumption with consumer, and never means commercial relations.
Item of information 24 can be that message, Email, notice, response, video clipping, audio clips, news, article, story, inquiry, bid, advertisement, URL or wright or consumer can send or the communication of any other available form.
Information flow be via including but not limited to printing, Email, web send, SMS (Short Messaging Service), video, audio frequency, broadcast medium or transmit (directly or embed) in order or together to the gathering of the item of information of consumer 28 or set via any other mode of the information of transmission.
In figure 3, the example of the message exchange 29 in the system interface that user profile data 64 can be input to for inputting user profiles 61 by wherein user 20 is shown.User profiles 60 is stored in user profiles and stores in 62 by the system interface for inputting user profiles 61.User profiles storage can be the combination of the interior section of message exchange, the outside or inside of message exchange and outside.The user profile data 63 that one group system obtains also can be stored in user profiles and store in 62, and in some systems, user can not input any user profile data.
User profiles 60 comprises (the being not limited to form) available information about user.This includes but not limited to from the behavior in the inside and outside source of message exchange 29, biography, demographics, history, grade, feedback, tracking or other general or customizing messages.The form that user profiles stores comprises relational database, name-value to, the combination of no-sql, individual-layer data, object, nested type object, nested type individual-layer data or the database in single source or multiple source.If can via API Access, then user profiles 60 represents by XML, JSON, CVS or any other data representation.
Choice criteria data 66 can be input in the system interface for input selection standard 68 by the consumer 28 in Fig. 4, and choice criteria 65 is stored in choice criteria storage 67.Choice criteria 65 can indicate type or the set of the item of information of the potential interesting or not interested reception of consumer.Storage choice criteria is stored in choice criteria and stores in 67 by the system interface for input selection standard 68.It can be the inside of message exchange 29, the outside or inside of message exchange 29 and the combination of outside that choice criteria stores 67.Choice criteria can also comprise the choice criteria 69 that system obtains, and it also can be stored in choice criteria and store in 67.In one embodiment, choice criteria can store together with user profile data, and user profiles stores and choice criteria storer can be identical.
In one embodiment, choice criteria store with user profiles storage can together be stored in Coutinuous store for fast access and process.
In fig. 2, audience objective 50 defines the one group of consumer or audient that wright 22 is ready to reach or be unwilling to reach.System interface and wright for inputting audience objective 44 limit control loop 46 and audience objective Request Control ring 48 is mutual.Wright limits control loop 46 and audience objective Request Control ring 48 and regulates the audience objective 50 that will be distributed item of information 24 that subsystem 52 processes and comprise.
System interface for inputting item of information 40 receives the item of information 24 from wright 22.Metadata request control loop 42 and the system interface for inputting item of information 40 also regulate the amount of the other descriptive data collected when inputting item of information 24 alternately.Distribution subsystem 52 process information item 24, audience objective 50, group tolerance 54, the user profiles from user profiles storage 62 and the choice criteria from choice criteria storage are to determine that what consumer should obtain, receive or check item of information (as described below).Tolerance 54 can be with direct or form of calculation from message exchange inner or outside one or more sources obtain measure, statistical data and parameter.
In one embodiment, distribution subsystem 52 and distributor 26 can be identical.In another embodiment, they can be independently.
operation describes
In one embodiment, system described herein is the ingredient of message exchange or message exchange.In another embodiment, subsystem and message exchange mutual time, this system will exist independent of message exchange, as below in detail as described in.
In one embodiment, this system is the computer code software run on the computer systems.Computer system can be one or more physical computer hardware system, physical server, device, mobile device, CPU, aiding CPU, flush bonding processor, workstation, desk-top computer, virtual bench, virtual server, virtual machine or have any combination being suitable for the similar related hardware of operating system being applicable to specific hardware, and when more than one, it is via special or public network interconnection.
In one embodiment, this system operable is the automatic control system of self-control.
wright
In one embodiment, item of information 24 can be input in the system interface for inputting item of information 40 by wright.Item of information is described by content and unit and forms.Content can comprise general introduction, title, complete story, image, video, audio frequency, Rich Media or other main information transmission objects.Unit describes and can comprise summary, source, key word, author, signature, peer link, theme, subject, type, restriction, marked price or for classifying, sorting out, follow the tracks of, identify or otherwise describe any other field of content and item of information or object or individual-layer data.In one embodiment, metadata description and item of information can be identical.
In one embodiment, audience objective can be input in the system interface for inputting audience objective 44 by wright.Audience objective describes the consumer that wright wants to reach or do not want to reach.The specification of audience objective can with reference to any aspect of the user profiles of appointment potential consumer.Audience objective will have the behavior of specifying the user of coupling audience objective whether should receive information.In one embodiment, for inputting the system interface of item of information and the system interface for inputting audience objective can be identical.
In one embodiment, wright's one or more additional audience objective that them can be specified to want.First audience objective is the main users set that consumer wants to comprise or get rid of.Compared with previously selected audient, each additional audient can have lower priority.
In one embodiment, wright 22 is by selecting one or more parameter to build audience objective and priority and to the value of each discrete parameter and the value range assignment priority of continuous parameter from the data available in the user profiles of consumer.The maximal value of the combination of all field values and minimum value can be used for determining normalization priority limit.
In one embodiment, first they can want the maximum audient reached as target by wright.System can arrange the limit value being less than audient's size of being specified by the first audience objective.In one embodiment, limit value can by the background of message, determine with the tolerance from the mutual past history of the preceding one of wright and system scope at present.In another embodiment, system can regulate the transaction of payment or from wright some other give way in limit value.In one embodiment, wright can specify and reach in size closer to the additional audience objective of the audient of limit value.If the size of audient is less than limit value, then audience objective can be used as the priority of input and distribution.In one embodiment, if the size of audient is greater than limit value, then system will refine target to make audience objective meet limit value or to regulate the priority of audience objective.In another embodiment, if size exceedes limit value, then the priority of system adjustable joint audience objective.In another embodiment, wright can based on for the one or more discrete parameter in customer profile or continuous parameter scale priority.
In one embodiment, wright can have the archives that can input and create the predefine audience objective of new audience objective through selecting replacement.
In one embodiment, item of information and audience objective can be sent to distribution subsystem.In one embodiment, distribution subsystem can be one with message exchange distributor.In another embodiment, distribution subsystem can in the outside of message exchange distributor.
In one embodiment, the audience objective of wright may be needed.In another embodiment, the audience objective of wright may be optional.
In one embodiment, wright can use vision to input slide block to indicate the priority of audience objective and concrete profile attributes.Such as, the audience objective with higher priority is decided to be target according to the many years of experience of consumer.In another embodiment, wright can use drag and drop vision carry out rank to audience objective and arrange audience objective priority.
In one embodiment, the audience objective of wright's input can be applicable to single piece of information item, multiple item of information or all items of information from this wright.
In one embodiment, wright can be autonomous agents people.
user
In one embodiment, user, wright and consumer can enter data in user profiles 60.In another embodiment, user profiles 60 also can comprise system data about user and information, and it includes but not limited to that performance, behavior, history, tracking or system can be any other information of user record or calculating.In another embodiment, user profiles also can comprise the external information obtained from external system, its any other information including but not limited to performance, behavior, history, tracking, record or can obtain from external system or calculate or combine with inner profile data.In another embodiment, user profiles can have the data from all data sources.
User profile data 64 can be input in the system interface for inputting user profiles 61 by message exchange user 20.User profile data 64 is stored in user profiles and stores in 62 by the system interface for inputting user profiles 61.In one embodiment, user profiles storage can be a part for message exchange 29.In another embodiment, user profiles storage 62 can in the outside of message exchange 29.In another embodiment, user profiles storage 62 can distribute between message exchange 29 and the outside of message exchange 29.In one embodiment, the user profile data 63 that outside and system obtains can be stored in user profiles and store in 62.
consumer
In one embodiment, consumer can input definition information items type and the choice criteria of also definable wright type.In another embodiment, choice criteria can only appointed information item type or wright's type.In one embodiment, whether consumer can the behavior of input selection standard be the item that they want to receive or do not want to receive to specify the item of information of match-on criterion.In another embodiment, the behavior distributing to choice criteria can be distributed by the behavior act of system from consumer.Such as, by expressing continuous item or the interested consumer of metadata theme.
Consumer can input a more than choice criteria.In one embodiment, if specify a more than choice criteria, then consumer's priority that definition standard can be specified how important.Priority can by sorting to standard or being represented by the input of selection priority preferences.In another embodiment, the priority of choice criteria can by system from inputting or obtain background or behavior, the history of choice criteria or causing distributing the action of establishment choice criteria.
Choice criteria also may overlapping and conflict.Such as, if two choice criteria coupling and a standard such as comprise specific items and another standard such as get rid of this specific items, then the conflict between standard may be there is.In one embodiment, conflict and to solve by preferred limit priority choice criteria.In one embodiment, priority can combine to determine priority in mathematical function, is wherein multiplied by-1 alternatively to get rid of priority.This function can consider higher priority higher weights or can priority described in simple average.If two priority are identical in collision, then can be considered unresolved or open.In another embodiment, conflict can be solved by system according to optimizing criterion discussed below.
In one embodiment, the priority of choice criteria and choice criteria can be determined from the performance of consumer, history, behavior or tracking data.In another embodiment, choice criteria and priority can be determined from prediction statistical method.In another embodiment, the choice criteria inputted by consumer can combine with the choice criteria determined from every other means.
In one embodiment, priority can be that each choice criteria is arranged by system.In another embodiment, the Operation system setting default priority of choice criteria that can be changed by consumer.
In one embodiment, the process of consumer's choice criteria can be one with message exchange distributor.In another embodiment, this process can in the outside of default allocation person.
In one embodiment, the choice criteria of consumer can be inputted by people.In another embodiment, choice criteria can be inputted by autonomous agents people.
Choice criteria can be input in the system interface for input selection standard by consumer.Choice criteria is stored in choice criteria and stores in 67 by the system interface for input selection standard 68.In one embodiment, choice criteria stores the part that 67 can be message exchange.In another embodiment, choice criteria storage 67 can in the outside of message exchange.In another embodiment, choice criteria storage 67 can be distributed between the outside of message exchange and this message exchange 29.In one embodiment, the choice criteria 69 that system obtains can be stored in choice criteria and store in 67.
In one embodiment, consumer uses drag and drop vision carry out rank to choice criteria and arrange choice criteria priority.
In one embodiment, consumer can be autonomous agents people.
decision matrix
In one embodiment, whether decision matrix 70 can be used for comformed information item 24 and should be included in the information flow of consumer 28.
Fig. 5 illustrates the decision matrix 70a of the basic condition wherein not having audience objective priority or choice criteria priority.
In Figure 5, wright 22 behavior of two audience objectives 50 illustrates in the horizontal direction.Two audience objectives 50 are for sending and not sending behavior.Letter ' S' indicate transmission behavior and letter ' DS' instruction does not send behavior.For open letter ' O' instruction wherein do not have audience objective to be applied to the situation of item of information.
In Figure 5, the consumer behaviour of two choice criteria 65 vertically illustrates.Two audience objectives 50 are for wanting and undesired behavior.Letter ' W' instruction want behavior and letter ' DW' instruction does not want behavior.For open letter ' O' instruction wherein do not have choice criteria 65 to be applied to the situation of item of information 24.
In Figure 5, decision matrix 70a is used to indicate item of information 24 and when should be included in the information flow of consumer 28 or from this information flow and gets rid of.In decision matrix 70a, tee indication information item 24 is included in information flow, and letter ' E' indication information item 24 gets rid of from information flow.Symbol '? ' indication mechanism can determine whether comprise item of information 24.
In figure 6, this form expands form shown in Figure 5 to illustrate the priority of audience objective 50 and choice criteria 65.The audience objective 50 of wright again vertically and consumer's choice criteria 65 in the horizontal direction.The audience objective 50 of wright illustrates the behavior and preference priority with combination.Letter ' H' indicates high priority.Letter ' M' indicates medium priority.Letter ' L' indicates low priority.In figure 6, for wright 22, six audience objective behaviors and priority combination are shown.For consumer, show six choice criteria behaviors and priority combination.As shown in Figure 5, this form also illustrates wherein does not have performance-based objective 50 be applied to the situation of item of information 24 and wherein do not have choice criteria 65 to be applied to the situation of item of information.
Decision matrix 70b has the implication identical with Fig. 5, but has added composite symbol to illustrate that wherein system may rewrite the situation of acquiescence.Symbol ' I? ' indicate wherein in one embodiment, but give tacit consent to the situation that may determine the item system comprised in stream to switch this decision.Symbol ' E? ' indicate wherein in one embodiment, but give tacit consent to the situation that may determine the item system got rid of in stream to switch this decision.Other symbols shown in Figure 6 have the implication identical with in Fig. 5.
The quantity of the discrete priority level can distributing to audience objective 50 or choice criteria 65 is not limited.Also can allow less priority level, make combination between the form in Fig. 5 and the form in Fig. 6 be possible.For the decision matrix 70 with discrete priority level, system can be selected to rewrite what unit.
In one embodiment, priority can be determined from the continuous function of variable of the meta-tag of the user profiles 60 of the user profiles 60 of wright, consumer, item of information 24, external factor or any other data that can be used for this system.The priority of continuous function can have any scale, and this scale can be unlimited or fixing or normalized (such as normalizing to zero or interval).
For the situation of continuous priority, decision matrix 70c can comprise the logical function of each combination of the behavior about wright 22 and consumer 28 in decision matrix 70c, as shown in Figure 7.Whether whether logical function can assess wright and the consumer behaviour priority together with other factors discussed below, be included in stream or got rid of by from stream with comformed information item 24.
Any combination of the decision matrix 70 illustrated in fig. 5-7 can be possible.Such as, consumer can have about wanting several priority level of behavior and about the priority not wanting behavior, and wright can have about the continuous priority of the behavior of transmission with about three priority not sending behavior.
In one embodiment, the process of decision matrix 70 can be one with message exchange 29 default allocation person 26.In another embodiment, the process of decision matrix 70 can in the outside of default allocation person 26.In one embodiment, the process of decision matrix 70 can distribute between default allocation person and external treatment.In another embodiment, decision matrix 70 can through component assesses to identify that the residue process of desirable consumer and decision matrix 70 can through completing the consumer refined having the item be included in their stream.
In one embodiment, wright see be similar to be converted to height, in and " never send ", " preferably not sending ", the description not sending priority of " well, if they obtain it, but not included in my counting " of low priority.
In one embodiment, about consumer want the behavior priority level of behavior available be similar to be converted to height, in and the description of " must have ", " it is good for having ", " if important with regard to give me " of low priority represent.
In one embodiment, it is interval that discrete, continuously or in mix of priorities situation decision matrix 70 is expressed as two dimension by decision-making grid 70d, and wherein each dimension has the scope of [1 ,-1].The behavior do not wanted and do not send make their priority be multiplied by-1 and opening status represent by 0.It is interval that two dimension interval is equal to any non-normalized two dimension.Threshold line 71 by this interval with comprise region 72 and be separated with exclusionary zone 73.Threshold line or border can obtain from tolerance 54 and can be represented by threshold function table, mapping or relation.
In one embodiment, exclusionary zone 73 can be divided into and can reach excluded ranges and be unreachable to excluded ranges.Excluded ranges can be reached and may be defined as the part of exclusionary zone below threshold line 71.If wright can increase the priority of the audience objective of coupling consumer, then can reach the part that excluded ranges also may be defined as the excluded ranges that can be reached by wright.
In one embodiment, the wherein Uncrossed priority limit of threshold line possibility can be there is in decision-making grid or decision matrix.
In the discrete case, threshold value forms the one group of unit comprising the boundary of region 72 and exclusionary zone 73.Such as, in figure 6, threshold value is arranged will be the boundary wherein existed from the switching being included in eliminating along any row or column.The scope of decision matrix 70 or subset are one group of unit in two-dimentional interval or region.
the use of tolerance
In one embodiment, consumer participates in measuring and can be used as item of information consumption or mutual the measuring with item of information.Consumer participate in measuring can from viewing, mutual, click, open or consumer spending item of information consumption and useful any other of message exchange can be obtained with designator or be calculated.In one embodiment, it can be accurate for participating in tolerance.In another embodiment, participate in tolerance can estimate.In one embodiment, the quantity that tolerance can be the item participating in specified phases is participated in.
In one embodiment, useful to message exchange specified phases consumer participates in tolerance and can store in a database.In one embodiment, all historical datas participating in measuring for calculating or obtain consumer can store in a database.
In one embodiment, the participation rate of information consumer 28 can be measured as the quantity that participates in item of information divided by transmit in specified phases (such as, a day) or send to consumer or consumer can the quantity of item of information.In one embodiment, participation rate can obtain from comprising investigation, other sources of monitoring or other inside and outside tolerance.
In one embodiment, can be each consumer and calculate history participation rate.History participation rate can in many ways in any one calculate from the previous participation of consumer.Such as, use weighting history, roll on average or other calculating.What history can be used to participate in multiplely measures.In one embodiment, the history participation rate of each consumer can be kept in a database.In one embodiment, all historical datas for calculating or obtain consumer's participation rate tolerance can store in a database.
In one embodiment, consumer's entry value of the item of information of consumer can use the priority set up from the choice criteria of consumer to estimate.In one embodiment, the priority of item of information can be the limit priority of match selection standard.In another embodiment, consumer's entry value can calculate from the priority of overlapping choice criteria.In one embodiment, entry value can calculate from priority and other tolerance.
In one embodiment, priority can be used to arrive the mapping of the value of consumer.In another embodiment, it is suitable for can supposing that consumer is worth with priority.
In one embodiment, the average consumer's entry value in a period of time can be calculated.Average consumer's entry value can be calculated as the summation of the consumer's entry value participating in item in this period divided by the quantity participating in item in this period.In one embodiment, weighted mean can be used for calculating average consumer's entry value, and wherein, weight depends on item of information metadata or other tolerance.In one embodiment, the historical time sequence of average consumer's entry value can be calculated.In one embodiment, the historical time sequence of average consumer's entry value can keep in a database.
In one embodiment, the historical time sequence of average consumer's entry value can be used for the consumer anticipation entry value estimating consumer's also unreceived item of information.The multiple formula being exclusively used in message exchange may be used for this estimation.Such as, use weighting history, roll on average or other calculating.Expection the multiple of entry value can be used to measure.In one embodiment, expect that entry value can calculate from history average consumer entry value and other tolerance.
In one embodiment, expect that entry value can calculate from investigation, sentiment analysis or other tolerance or obtain.
In one embodiment, can computational prediction participation rate.In one embodiment, history participation rate and inside and outside tolerance and signal can be used to derive prediction participation rate from statistics or forecast analysis.In one embodiment, predict that participation rate can be identical with history participation rate.
In one embodiment, participating in prediction mapping can make expection entry value relevant with prediction participation level.Prediction participation level represents the quantity of the item of information of every specified phases.Participating in prediction mapping can be logical function that is discrete, continuous or that mix or mapping.In one embodiment, the statistical method being applicable to message exchange can use consumer anticipation entry value and additional outside and internal metric and signal to participate in formula or mapping for calculating and derive prediction.In one embodiment, the tolerance from other consumers can be used to determine, and participating in prediction maps.
In one embodiment, inverse participation predicts that mapping can be used for making participation level relevant with expection entry value.
In one embodiment, can be wright for consumer receive wright's entry value of every consumer and the value of consumption information item.The priority set up from the audience objective for this item of information can be used to calculate wright's entry value.In one embodiment, can from priority and the wright entry value of other metric calculation about consumer.
In one embodiment, priority can be used to arrive the mapping of wright's entry value of every consumer.In another embodiment, it is suitable for can supposing that wright is worth with priority.
In one embodiment, can for the distribution of each consumer's computing information item on two-dimentional decision matrix 70 or decision-making grid.For the quantity of the item of information of each point in decision matrix 70 or decision-making grid 70d in distribution record a period of time.Any amount of technology being exclusively used in message exchange may be used for distributing based on historgraphic data recording.Such as, use weighting history, roll on average or other calculating.Multiple distribution is possible, and may be used for the different objects calculating other tolerance.In one embodiment, the distribution or accumulation across consumer can be used.
In one embodiment, the historical rethinking of item of information can be used for the prediction distribution of the item of information calculating current generation or forthcoming generations consumer with optional tolerance in addition.In one embodiment, the distribution of specifying forthcoming generations internal information item can be made a reservation for.
In one embodiment, target consumer expects that entry value can from metric calculation to determine the expection entry value that the message exchange of each consumer is expected.
In one embodiment, the threshold line 71 of decision matrix 70 or decision-making grid 70 can use the prediction distribution of the item of information of consumer, priority to the mapping of the value of consumer, priority to the value of wright mapping, participate in prediction mapping, consumer anticipation entry value, targets anticipate entry value or other tolerance and calculate.
In one embodiment, cross-over value function can be designated to indicate the value of combination to exchange for each point on grid.Such as, cross-over value function can be T (p, c)=ap+bc, wherein, p=wright is worth, and c=consumer is worth, if p>0, if then a=1 and p<0, then a=2, if c>0, then b=l, and if c<0, then b=2.Such function includes the balance when consumer's entry value or wright's entry value are negative time.Can use other functions according to the object of message exchange, and this function along with consumer, provisional parameter or can change specific to other inside exchanged or external parameter.In one embodiment, cross-over value function definable priority limit.
In one embodiment, the quantity of the item of information on the distributed areas of item of information can be calculated as the summation of each point in this region.Such as distribution can the quantity of indication item be 5,4,7,3,11 (5 points for definition specific region).Item of information summation is on the area 30.
In one embodiment, the summation that the average consumer's value on item of information distributed areas can be calculated as consumer is multiplied by the quantity of the Distribution Value on each point in this region divided by item of information in this region.
In one embodiment, for the distribution of item of information, threshold line 71 can be calculated as the region of decision-making grid 70d inside, wherein, be approximately equal to the quantity of the item of information in this region from the participation level of specifying the prediction of expection entry value to participate in the prediction mapped.In one embodiment, the expection entry value of specifying can be the average consumer's value on distributed areas.In another embodiment, expection entry value is specified can to determine from inside and outside tolerance.
In one embodiment, first, by decision-making grid 70d is divided into discrete point, comprising region 72 can distribute through selecting the appointment for item of information.Such as, in order to decision-making grid consumer and wright's priority axle being divided into l0,20x20 or 400 discrete point will be produced.For decision matrix 70, unit is used as discrete point.Secondly, on evaluation decision grid, first the cross-over value function at each discrete point place comprises in the zone to determine that these are put.3rd, by preference ordering descending, these points are sorted, and calculate the quantity of the item of information that each some place increases in this region, and also use the average consumer's value in this region or other tolerance to calculate expection entry value to obtain expection entry value.4th, assess from specifying the prediction of expection entry value to participate in the prediction participation level mapped, and stop when the participation level predicted is less than the quantity of item.5th, use the point processed to comprise region 72 and threshold line 71 with definition.
In one embodiment, the distribution of item of information that may be relevant to consumer can store in a database.Can real-time update distribution.Threshold line 71 can change and real-time update along with distribution or other tolerance.
In one embodiment, consumer data is collected and can be comprised choice criteria, distribution, decision matrix, threshold line and other consumers tolerance.In one embodiment, consumer data is collected and can be stored in contiguous storage for fast access and process.
In one embodiment, consumer audient details query method may be used for appreciation information item, audience objective, consumer data are collected or other internal metric to determine one group of consumer audient details, this details can include but not limited to consumer's priority, for wright's priority of this consumer, on threshold line the designator (get rid of, comprise maybe can reach eliminating) of wright's priority of (if available) and scope.
In one embodiment, consumer audient details query can use a hurdle meta-tag group, field and value with the consumer priority of assessment response in meta-tag.Consumer audient details query method for the list of choice criteria logic evaluation meta-tag group, field and value, to determine consumer's priority of each meta-tag option will distributed in list and also can comprise correlation combiner.Consumer's priority in response to meta-tag can be comprised levels of priority every in list and also can comprise the summary combined by field, group and selection.
In one embodiment, audient's details query method can assess the consumer audient Details Methods of each consumer to calculate and to assemble one group of audient's details.Audient's details can present to metadata control loop, audient limits control loop, audience objective control loop, for inputting the system interface of audience objective or the system interface for inputting item of information.
In one embodiment, the statistic sampling of enough sizes that consumer's choice criteria and consumer data can be used to collect replaces actual consumer data to provide the estimation of audient's details.
In one embodiment, audient's details of each audience objective can include but not limited to priority, the audient's size comprised in scope that original audient's size, audient's size of increase, audient's size of accumulation, audient's size limit value apply, can reach the audient's size in excluded ranges or move required average wright's priority change from reaching exclusionary zone.Audient's details about all audience objectives of specifying can include but not limited to maximum audient's size of all targets or the cumulative size of all targets.Audient's details about item of information can include but not limited to the consumer's priority about item of information distribution, about the user profiles summary statistics of assigned priority scope or the priority in response to meta-tag.
In one embodiment, consumer's priority in response to meta-tag can be assembled and summarize across all consumers to obtain the response of meta-tag value.
control loop
One group of control loop uses tolerance 54 with the flowing in the information exchange of control information item.Tolerance is can inner or its outside measuring and parameter in message exchange.Sampling internal tolerance includes but not limited to the tolerance relevant to wright, consumer, system information flows or general message exchange.Sampling external measure includes but not limited at this day, inclement weather, the important motion event one week certain day occurred, the instruction of politics or store of business events occurs, the measuring of behavior outside news and information flow or message exchange, the flow behavior that external information exchanges, histoprojections, statistics or any other related data.
An embodiment can have multiple control loop.Another embodiment can have single control loop.Another embodiment can not have control loop.
decision matrix control loop
In one embodiment, decision matrix control loop regulates the threshold line 71 comprising region 72 and exclusionary zone 73 in decision matrix 70 or decision-making grid 70d or boundary to improve or to keep a composition merit tolerance.
In one embodiment, if the point on the decision matrix 70 represented by choice criteria priority and audience objective priority or decision-making grid 70d comprising in region 72 of defining at the threshold line 71 by consumer, then item of information is included in the information flow of consumer.
In one embodiment, decision matrix control loop can use from consumer, wright, item of information, audience objective, external source or the Degree of Success duration set from General System derivation.The tolerance relevant to consumer include but not limited to time of processing information flow, drain message item estimation, participate in tolerance, participation rate, measure about the average choice criteria priority of information flow, consumer anticipation entry value, prediction participation rate, prediction participation level or other consumers in recent and historical stage.The tolerance relevant to wright includes but not limited to user profile data, and user profile data comprises wright's history, performance or behavioral data.Tolerance from external source includes but not limited in this day, inclement weather, the important motion event one week certain day occurred, the politics of generation or the instruction of store of business events, the news of message exchange outside and the tolerance of information or the relevant any factor of the prediction being considered as paying close attention to consumer and paying attention to.In another embodiment, some tolerance is only had can to use or only have a tolerance to use.
In one embodiment, decision matrix control loop can be a part for distribution subsystem 52.
In one embodiment, for each item of information 24 by the process of Decision Control ring, consumer's priority can obtain from consumer's choice criteria 65, and wright's priority can obtain from the audience objective 50 about this item of information.
In one embodiment, multiple item of information can disposable process be the distribution of item of information on decision-making grid 70d or decision matrix 70, and comprise region 72 can as calculated to determine which item of information can be included in the information flow of consumer.In one embodiment, item of information can be delayed by or queue up to be assessed as the distribution of item of information together.
In one embodiment, the estimated value of the probability be missed can derive from tolerance by item of information, and described item of information is missed and means that item of information will be received by consumer but do not processed by consumer.The system limit value of the probability be missed can be derived from tolerance by item of information.In the specified scope or subset of decision matrix 70, if the estimated value of the probability be missed is greater than the system limit value of this estimation by item of information, then item of information is excluded.In one embodiment, in the specified scope or subset of decision matrix 70, if consumer's entry value is greater than consumer anticipation entry value, then comprise this item of information.
wright's limit value control loop
Wright's limit value control loop 46 determines the audient's size limit value be placed in certain priority grade in the audience objective 50 of wright.
Fig. 9 illustrates that wherein audient's size limit value can be expressed as the embodiment that audient's size limit value maps 75.Audient's size limit value maps 75 and may be used for obtaining the priority of given audient's size or obtaining audient's size of given priority.It can be the function between priority and audient's size limit value or the relation between priority and audient's size limit value that audient's size limit value maps 75.Mapping can be continuous, discrete or mixing.Audient's size limit value is mapped 75 and shows for Continuous Mappings by Fig. 9.
In one embodiment, first audient's size limit value mapping 75 can be determined by measuring 54.The current quantity that tolerance 54 can include but not limited to the item of information of the system that flows through, receive very little or too many item consumer correlated measure or flow through the pre-quantitation of item of information of system future.The metadata of item of information 24 and content can be used to map 75 to regulate audient's size limit value, and the tolerance of the user profiles from wright can be used to regulate further, wright's user profiles includes but not limited to speciality, background, popularity, mutual rate or performance that quantity that wright had previously sent, wright send item of information in the past.
In one embodiment, audient's size limit value mapping 75 can dynamically be determined in real time.In one embodiment, primary audience size limit value maps by taking on supvr to arrange, and basic horizontal set can regulate or cannot regulate in wright's limit value control loop 46 in wright's limit value control loop 46.
In one embodiment, the threshold limit value that can map 75 from audient's size limit value with positive priority determines maximum audient's size 76.In one embodiment, total audient that wright can reach can be no more than maximum audient's size 76.
Figure 10 illustrates an embodiment of the system interface for inputting audience objective 44.Option 90 allows wright 22 to create audience objective 91, editor's audience objective 92, rearrangement audience objective 93, management audience objective file 94, checking audience objective details 95, checking that audient's size limit value 96 maybe completes this process when completing 97.
In one embodiment, first wright 22 can with wright's limit value control loop 46 alternately to create audience objective or from archive retrieval audience objective.After input first audience objective, can audience objective be assessed by wright 22 and can check and process audience objective details 95.Wright 22 can accept priority level, rearrangement audience objective 93 or editor's audience objective 92.If accept the priority level of audience objective, then wright has the option of the additional audience objective of input.If wright inputs additional audience objective, then can be recycled and reused for the process of the first audience objective.If the combination audient from all audience objectives exceedes maximum audient's size 76, then wright can resequence audience objective 93 or editor audience objective 92.In one embodiment, compared with the first audience objective of input, each additional audience objective can have lower or higher priority (according to sequence and audience objective behavior).
In one embodiment, audience objective assesses by the order of being specified by wright the increase size determining this audience objective.The audient's size increased can be the size of the accessible additional audient of audience objective of each follow-up lower sequence.Sequence audience objective is shown for A1-A5 by Fig. 9.Such as, consider audience objective Al, the audient of A3 and A4 be that wherein wright wants to comprise or send the audience objective of item of information, and A2 and A5 is thought of as wherein wright and wants eliminating or the audience objective that do not send.Audient about target Al-A5 obtains the size increased through assessment.Have the audience objective (in this example, being A1, A3 and A4) comprising behavior increase size can in order cumulated downward to obtain the cumulative size of audience objective.The audient increased gets rid of any consumer of an audience objective in the audience objective of coupling higher ranked.In one embodiment, the cumulative size with the audience objective comprising behavior also adds the increase size of this audience objective.Then the size of 75 assessment accumulations can be mapped to determine the priority of this audience objective from audient's size limit value.In fig .9, audience objective Al, A3 and A4 have the priority P 1, P3 and P4 that distribute respectively.In one embodiment, cumulative size can be used as searching size and obtains priority to map 75 from audient's size limit value.In one embodiment, cumulative size regulates by part or all size increased.
In one embodiment, the increase size with the audience objective (in this example, being A2 and A5) of eliminating behavior cumulated downward can have the cumulative size of each audience objective of eliminating behavior in order with acquisition.In one embodiment, the cumulative size with the audience objective of eliminating behavior does not add the increase size of this audience objective.Then the size of 75 assessment accumulations can be mapped to determine the priority of this audience objective from audient's size limit value.In fig .9, audience objective A2 and A5 has the priority P 2 and P5 of distributing respectively.
In one embodiment, wright can distribute any priority to the audience objective with eliminating behavior.
In one embodiment, use audient size limit value to map, by the following method, audience objective can be automatically adjusted to improve audient's size: first, identifies by the audient comprised with low priority; Secondly, the audience objective having identified audient is generated; 3rd, directly distribute priority for this audience objective and place this priority with suitable audience objective order; And the 4th, get rid of the audient increased from cumulative size, and get rid of the audient of this increase from the increase counting of succeeding target.
In one embodiment, suppose priorities >0, having the audience objective comprising behavior can be processed.In one embodiment, can have the maximum audient's size 76 exceeded be less than this audience objective increase the audience objective of cumulative size of size can by system constraint to the size by not exceeding maximum audient's size 76.In another embodiment, wright can have the option refining the audience objective of intersecting with limit value.
In one embodiment, audient's size of audience objective can be valuation, or in another embodiment, it can be accurate numerical value.
In one embodiment, the numerical value of audience objective can be limited.
In one embodiment, wright inputs one or more audience objective.Then system uses above-mentioned method to distribute priority by audient's size to audience objective automatic name arranging.
In one embodiment, priority preferences can be appointed as F (X) by wright within the scope of user profiles, and wherein, X is the user profiles of the span from user profiles characteristic.Such as, specify the age between 30 and 40, wherein, 30 is most preferred.By using F (X), obtain the rank of each potential target user profiles.Being mapped in [0,1] interval between priority, and audient's size limit value maps 75 for distributing priority to each increase target from the highest rank to minimum rank, and stop when reaching the span of maximum audient's size 76 or X.
for determining the method that audient's size limit value maps
In one embodiment, the inverse cumulative distribution of the priority of consumer's packing density on the normalization interval [-1,1] of item of information can be used to determine, and audient's size limit value maps 75.Inverse cumulative distribution is that its choice criteria will register the quantity of the consumer of given priority or higher priority for item of information.Consumer's packing density of item of information is the customer count at each consumer's priority level, and this quantity can obtain by being accumulated in consumer's counting of each priority level.Then, inverse distribution is obtained from the accumulation of the packing density started at [-1,1] interval top.In one embodiment, the packing density on interval [0,1] and inverse cumulative distribution may only be needed.In one embodiment, the consumer with similar choice criteria can reduce gathering in expression in the mapping of representative choice criteria and customer count.This is in order to for similar consumer collected, only needs to assess a representational consumer.In one embodiment, inverse cumulative distribution can directly be used as the mapping of audient's limit value.In another embodiment, inverse cumulative distribution can be used as before audient's limit value maps by scale or adjustment.The advantage using inverse cumulative distribution provides the more ceiling value of the natural consumer's priority had about item of information 24 to wright 22.Such as, provide may to have about the welcome businessman of free of cost item of information or the welcome news agency with exclusive grave news and receive the bulk information consumer 28 that this type of information Xiang Shiqi places high priority.In such cases, wright may not need to input any audience objective completely, because the priority level of acquiescence is enough high.On the other hand, having is may have very strict audient's limit value to the product vendor of the only item of information 24 of the value marketing message of a small set of information consumer map and may need to input very concrete audience objective.
In one embodiment, can determine that audient's limit value maps from other sizing of the transmission history of wright, the behavior in past and key word or item of information.
In one embodiment, utilize discrete or continuous print audient size limit value, can determine from tolerance the parameter that audient's size limit value maps.Such as, in continuous situation, the linear relationship between size and priority can be used, and tolerance will determine slope and the intercept of line.More specifically, in this linear example, wherein, priority is in [0,1] interval, and parameter will be the priority level of maximum audient's size 76 and at audient's size zero place.Also can use other mathematical functions, mapping and parametrization relation, wherein, be determined the parameter of this class function, mapping and relation in a similar fashion by tolerance.
wright's Request Control ring
Wright's Request Control ring can consider to ask wright to provide the impact of attaching metadata and audience objective can send along with passage of time wright or the impact of quantity of item of information of contribution and the consumer that feels add the impact of item of information.Wright's Request Control ring can use tolerance, and described tolerance includes but not limited to: the time that the opportunity cost of the time of wright, wright complete the time sending cost, the time obtaining additional request msg, the availability of additional data, the value of additional meta-tag or refinement, wright input the cost of new audience objective or change, rank or pay the utmost attention to the time that audience objective spends.Also consumers' perceptions, participation or response tolerance can be used.
In one embodiment, wright's Request Control ring can via the input of metadata request control loop 42 for control information item metadata.In one embodiment, wright's Request Control ring can be used for the input being controlled audience objective 50 by audience objective Request Control ring 48.In one embodiment, wright's Request Control ring can supplement wright's limit value control loop 46.In another embodiment, wright's Request Control ring can be the substitute of wright's limit value control loop 46.
In one embodiment, the subject area of item of information can be determined by the automatic analysis of item of information when wright inputs.Subject area can be used for obtaining the list of meta-tag scheme and subject area by the usage data determined.The list of meta-tag scheme and usage data can be used for the list generating meta-tag group, field and the value that can be supplied to audient's details query method.What can be provided by audient's details query method may be used for obtaining audient's size increment to the response of the meta-tag with the audient's size increment being used to specify meta-tag, and this audient's size increment may be used for selecting the requested order of meta-tag problem.
In one embodiment, the list of meta-tag scheme can be general.In another embodiment, meta-tag scheme can specific to subject area.
In one embodiment, the list of meta-tag scheme can through having selected the metadata reliably do not provided by automatic analysis or the speciality confirming known field or confirmation wright.This also may be used for restriction from advocating peace non-autonomous wright.
In one embodiment, wright possibly cannot see and audient's size of specifying meta-tag to be associated.
In one embodiment, the audient's distribution expected can be used for regulation and control wright Request Control ring.Audient's distribution can be measured by statistics or measure parameterized to quantize hope.Such as, with density is reduced to zero or close to zero consumer priority area between on there is distribution.
In one embodiment, metadata request control loop can be used in the audient's distribution between consumer priority area.The audient's distribution be used between consumer priority area has advantage and is: what have nature height audient and ability to accept knows the additional demand that wright can avoid meta-tag or audience objective and the time burden associated.
In another embodiment, metadata request control loop or audient's Request Control ring can be used in the audient's distribution on two-dimentional decision-making grid or decision matrix, and the audient's distribution expected can in consumer's priority and wright's priority.Information wright can use metadata request control loop or audient's Request Control ring to reach audient's distribution of expectation.
In one embodiment, when to reach audient's distribution of expectation or proceeded to the request of maximum quantity of wright, metadata request or the audience objective request of any needs can be stopped.
Subject area can compare with the subject area can inferred from the user profiles of wright and the previous message item produced by wright.If the hint subject area of item of information is not aimed at the subject area of wright and the history of wright, then can interrogate metadata problem to confirm the validity of model and sender.
control loop manages
The keeper of message exchange can select control loop to use and to arrange the configuration of control loop.Success measure can through orientation with balance to the target of different value of exchangeing subscriber and message exchange stakeholder.
conclusion
Computer system described herein be widely used in existing message exchange or as fresh information exchange basis with optimize and better attract participant.
The example that this instructions provides and change do not have limited significance, and other examples and change will be obvious for a person skilled in the art.
Claims (19)
1. the method for using computer system to be used for from least one information wright at least one information consumer distributed intelligence item in the information exchange, said method comprising the steps of:
Obtain audience objective, described audience objective indicates described wright to want to receive the information consumer type of described item of information;
Obtain choice criteria, whether described choice criteria indicates described information consumer to want to receive described item of information;
Decision Control ring is used to regulate decision matrix to improve or to keep successfully measuring;
Determine whether to transmit described item of information to described information consumer according to described decision matrix.
2. method according to claim 1, wherein, multiple audience objective is designated.
3. method according to claim 2, wherein, priority is assigned to described audience objective.
4. method according to claim 1, wherein, the multiple choice criteria about described information consumer are used.
5. method according to claim 4, wherein, priority is assigned to described choice criteria.
6. method according to claim 1, wherein, described audience objective represents the Continuous Mappings of consumer-user's profile attributes to continuum or priority value.
7. method according to claim 1, wherein, described choice criteria represents the Continuous Mappings of wright's user profiles attribute to continuum or priority value.
8. method according to claim 1, wherein, described choice criteria represents the Continuous Mappings of item of information attribute to continuum or priority value.
9. method according to claim 1, wherein, described decision matrix solves the conflict between the described audience objective of described information wright and the described choice criteria of described information consumer.
10. method according to claim 1, wherein, the value that described success is measured is the participation of described information consumer.
11. methods according to claim 1, wherein, described decision matrix is 2 dimensional region, and described 2 dimensional region represents audience objective priority in a dimension, and another dimension represents choice criteria priority.
12. methods according to claim 11, wherein, described audience objective priority is between-1 and 1, and described choice criteria priority is between-1 and 1.
13. methods according to claim 11, wherein, threshold limits by described Region dividing for comprising region and exclusionary zone.
14. methods according to claim 13, wherein, described threshold limits is dynamically derived by from internal system and external measure.
15. 1 kinds for inputting the computer system interface of audience objective, described computer system interface comprise information wright limit value control loop and will:
At least one audience objective is received from information wright;
Calculate audient's size that described audience objective can reach;
Use audient's size limit value to map to be used for making audient's size relevant with priority;
Map from described audient's size limit value and determine audience objective priority;
Described audience objective is assigned with priority thus.
16. computer system interfaces according to claim 15, wherein, described audient's size limit value maps and distributes lower priority to larger audient's size.
17. computer system interfaces according to claim 15, wherein, described audience objective is sorted.
18. computer system interfaces according to claim 17, wherein, the size of further accumulation is as calculated for having each audience objective comprising behavior, and described cumulative size is and has combining of audient that the higher ranked audience objective that comprises behavior mates, and described audient's size is for determining the audience objective priority of specifying audience objective, wherein, audience objective behavior is included, and is described cumulative size.
19. computer system interfaces according to claim 18, wherein, described cumulative size gets rid of intersecting of the audient of mating with higher ranked audience objective, and wherein, described audience objective behavior is excluded.
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2014
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- 2014-03-16 SG SG11201507452PA patent/SG11201507452PA/en unknown
- 2014-03-16 WO PCT/US2014/030113 patent/WO2014145365A2/en active Application Filing
- 2014-03-16 CN CN201480026012.XA patent/CN105229684B/en active Active
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2015
- 2015-09-14 PH PH12015502098A patent/PH12015502098A1/en unknown
- 2015-10-08 ZA ZA2015/07465A patent/ZA201507465B/en unknown
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2016
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Also Published As
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|---|---|
| HK1214389A1 (en) | 2016-07-22 |
| EP2973293A2 (en) | 2016-01-20 |
| CN105229684B (en) | 2021-02-19 |
| PH12015502098A1 (en) | 2016-02-15 |
| SG11201507452PA (en) | 2015-10-29 |
| WO2014145365A3 (en) | 2014-11-13 |
| EP2973293A4 (en) | 2016-10-05 |
| CN112967068A (en) | 2021-06-15 |
| WO2014145365A2 (en) | 2014-09-18 |
| ZA201507465B (en) | 2019-04-24 |
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