JP2001222628A - Device and method for information processing and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To determine the price of an incorporeal body such as a concert. SOLUTION: An exposure number computation system 11 extracts concert history information of a specified artist, obtains rank information by concert halls, and computes an exposure number according to the concert history information and rank information. A demand computation system 12 accesses Web servers 3-1 to 3-n through the Internet 2 to retrieve the sale quantity and reservation quantity of a concert and computes the demand according to them. A pricing index computation system 13 computes a pricing index on which the prices of the concert are based according to the exposure quantity and demand.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing apparatus, method, and recording medium, and more particularly, to an information processing apparatus, method, and recording medium capable of calculating a price index that is a basis for the price of intangible content. About.

[0002]

2. Description of the Related Art Recently, network systems typified by the Internet have become widespread and have been used for providing various services. For example, audio information,
Video information, computer programs, etc. (hereinafter simply,
AV information) can be transferred over a network and the user can quickly and reliably
AV information can be received via a network.

[0003]

Generally, the price of a product is determined based on the balance between supply and demand of the product. However, products of intangible contents such as AV information can be electronically copied, and the number is theoretically infinite. Therefore, the supply amount is, so to speak,
The price is infinite and simply cannot be determined from the relationship between supply and demand.

[0004] The present invention has been made in view of such a situation, and it is an object of the present invention to be able to calculate a price index that is a basis of the price of intangible content.

[0005]

An information processing apparatus according to claim 1, wherein acquisition means for acquiring history information on a service, rank setting means for setting a rank for each service location, and rank setting means A storage unit for storing rank information relating to the venue, the rank being set according to the above, a history information acquired by the acquisition unit, and a first number of exposures calculated based on the rank information stored in the storage unit. Calculating means, a second calculating means for calculating a demand for the service, a value of the service based on the number of exposures calculated by the first calculating means, and the demand calculated by the second calculating means. And a third calculating means for calculating the attachment index.

[0006] The first calculating means may calculate the number of exposures by weighting with different values for each of the places where the rank is set.

[0007] The second calculating means has a plurality of functions for calculating a service pricing index based on the number of exposures and the demand of the service, and selects one function from the plurality of functions.
A service pricing index may be calculated.

In the information processing method according to the present invention, a rank is set by an acquisition step of acquiring history information on a service, a rank setting step of setting a rank for each service venue, and a rank setting step. Further, based on the storage control step of controlling the storage of rank information related to the venue, the history information acquired by the processing of the acquisition step, and the rank information whose storage has been controlled by the processing of the storage control step, the number of exposures is determined. First to calculate
, A second calculation step of calculating the service demand, a number of exposures calculated by the processing of the first calculation step, and a demand calculated by the processing of the second calculation step. A third calculating step of calculating a service pricing index.

According to a fifth aspect of the present invention, there is provided a program recorded on a recording medium, comprising: an acquisition step of acquiring history information relating to a service; a rank setting step of setting a rank for each service location; Based on the storage control step of controlling the storage of the rank information on the venue, the history information obtained by the processing of the obtaining step, and the rank information whose storage is controlled by the processing of the storage control step. A first calculation step of calculating the number of exposures, a second calculation step of calculating the demand for the service, the number of exposures calculated by the processing of the first calculation step, and the processing of the second calculation step Based on the demand calculated by
And a third calculating step of calculating a service pricing index.

[0010] The information processing apparatus according to claim 1, claim 4
In the information processing method described in the above, and in the program recorded in the recording medium according to the fifth aspect, history information on the service is obtained, a rank is set for each service location, and the obtained history information and , The number of exposures is calculated based on the rank information, the demand of the service is calculated, and the pricing index of the service is calculated based on the number of exposures and the demand.

[0011]

FIG. 1 shows a configuration example of a network system to which the present invention is applied. In this configuration example, when the pricing agent 1 does not need to individually distinguish the Web servers 3-1 to 3-n (hereinafter, these Web servers 3-1 to 3-n via the Internet 2; This is referred to as a Web server 3. The same applies to other devices). The pricing agent 1 includes an exposure number calculation system 11, a demand amount calculation system 12, and a pricing index calculation system 13. In the network system of FIG. 1, it is assumed that a pricing index is calculated for a service such as a concert provided by an artist (hereinafter, simply referred to as a concert).

The number-of-exposures calculation system 11 is connected to the Internet 2 and stores information on a concert of an artist designated as a processing target in a Web server 3-.
The number of exposures exposed to 1 to 3-n is calculated. The demand amount calculation system 12 is connected to the Internet 2
The server 3 is accessed, the sales amount and the reservation number of the concert of the artist are searched, and the demand amount is calculated based on them. The pricing index calculation system 13 is based on the number of exposures calculated by the number-of-exposures calculation system 11 and the demand calculated by the demand-quantity calculation system 12, and is used as a reference for determining the price of the artist's concert. Calculate the index. The pricing index calculation system 13 is also connected to the Internet 2 so that it can access the Web server 3 and independently search for various types of information.

The number-of-exposure calculating system 11 is, for example, shown in FIG.
It is configured as shown in FIG. The appearance frequency management unit 31
For example, keywords such as composer name, lyricist name, performer name, publisher name, record company name, producer name, production name, etc., and where the artist performed the concert at the concert venue, etc. It has a database of concert history information consisting of items. The extraction unit 32 extracts the number of appearances of the specified artist at each concert venue during a predetermined period from the appearance number management unit 31 in order to search for the number of exposures of the designated artist on the Web.

[0014] The venue ranking management unit 33 determines the concert venue based on the name recognition, the number of seats, the average customer unit price, and the like.
For example, it is classified into three ranks of "Shochiku-ume" or four ranks of "1 star to 4 stars", and rank information of each concert venue to which a predetermined weight function is applied for each rank. Has a database.

The number-of-exposure calculating section 34 calculates the number of exposures of the designated artist's concert based on the extraction result extracted by the extracting section 32 and the rank information of the venue ranking managing section 33. Here, the number of exposures means the sum of values obtained by multiplying the number of concert appearances of the artist by a predetermined weight coefficient for each concert venue. The number of exposures is calculated for a predetermined date and time or for each period. The number of exposures calculated by the number-of-exposures calculation unit 34 is supplied to the pricing index calculation system 13.

The demand calculation system 12 is, for example, shown in FIG.
It is configured as shown in FIG. The reservation count totaling management unit 41
b Access a retail site constituted by the server 3 and totalize the number of reservations of the artist's concert at a predetermined date and time via a predetermined network in a predetermined area physically or logically. This retail site has
This includes, for example, those who take only a questionnaire about the artist's concert and do not sell the artist's concert.

The sales volume totaling management unit 42 totalizes the sales volume of the artist's concert at a predetermined date and time via a predetermined network in a predetermined physical or logical area. The demand amount calculation unit 43 includes a reservation number total management unit 41.
A predetermined weight is assigned to each of the concert reservation number calculated by the above and the concert sales number totaled by the sales number total management unit 42, and the total value is calculated as the demand amount. The calculated demand is supplied to the pricing index calculation system 13.

FIG. 4 shows a configuration example of the pricing index calculation system 13. The pricing index calculation unit 51 calculates a pricing index by applying a predetermined function to the number of exposures supplied from the number-of-exposures calculating system 11 and the demand supplied from the demand-quantity calculating system 12. The pricing index disclosure unit 52
The pricing index calculated by the pricing index calculation unit 51 is
It is released (provided) to a third party who wants to determine the price of the concert (for example, a seller of the concert) for a fee.

The detecting section 53 registers the price index calculated by the price index calculating section 51 in the price index list, and registers a concert of an artist not suitable for this index calculating method in the rejection list. The detecting unit 53 also determines whether or not the concert of the artist whose inquiry is made by the Web server 3 is registered in the price index list. An inquiry is made to the pricing index disclosure unit 52 for the concert. The detection unit 53 is also a Web
It is determined whether or not the concert of the artist whose inquiry has been made from the server 3 is registered in the rejection list.
If it is detected that it is registered in the rejection list, a response message such as "I am a rejected artist" is returned to the Web server 3. Further, when detecting that the concert of the artist whose inquiry has been made by the Web server 3 is not registered in either the price index list or the rejection list, the detection unit 53 outputs a response message such as “not found”. Return it to Web server 3.

Next, referring to the flowchart of FIG.
The exposure number calculation process executed by the exposure number calculation system 11 will be described.

In step S 1, when a user operates a remote commander (not shown) or the like to specify a concert of an artist whose price is to be determined, the extraction unit 32 extracts the artist number stored in the appearance number management unit 31. Specify concert history information. Step S
In 2, the extraction unit 32 accesses the appearance count management unit 31 and extracts the concert history information of the artist specified in step S1 (where the artist performed the concert at the concert venue and when).

In step S3, the number-of-exposure calculating section 34
Accesses the venue ranking division management unit 33,
Based on the number of seats, average customer unit price, and the like, rank information for each concert venue classified into a plurality of ranks is acquired.

In step S4, the number-of-exposure calculating section 34
Calculates the number of exposures based on concert history information and rank information for each concert venue. As described above, the number of exposures is calculated as a sum of values obtained by multiplying the number of concert appearances of the artist by a predetermined weight coefficient for each concert venue. The exposure number calculation unit 34 outputs the calculated exposure number to the valuation index calculation system 13 in step S5.

Next, referring to the flowchart of FIG.
The demand calculation process executed by the demand calculation system 12 will be described. In step S21, the reservation count totaling management unit 41 and the sales count totaling management unit 42 respectively set the region, network, date and time, concert, and the like for which the demand is calculated. In step S22, the reservation count totaling management unit 41 accesses the Web server 3 via the Internet 2 and sets the
The network and the number of reservations at that date and time are searched and totaled. Similarly, the sales number tally management unit 42 determines in step S
At 23, the number of sales of the artist's concert in the area, the network, and the date and time are searched and totaled.

The demand amount calculation unit 43 includes a reservation number totaling management unit 4
Receiving the number of concert reservations totaled in step 1 and the number of concert sales totaled by the sales number totaling management unit 42, whether the number of reservations and the number of sales required to calculate the demand are sufficient. It is determined in step S24 whether to end the search based on the determination. If it is determined that the search cannot be completed yet, the process returns to step S21, and the subsequent processing is repeatedly executed.

If it is determined in step S24 that the sufficient number of reservations and the number of sales have been obtained, the process proceeds to step S25, where the demand amount calculation unit 43 determines the concert of the artist from the supplied number of reservations and the number of sales. , The area, the network, and the demand at that date and time. This demand amount is calculated as the sum of values obtained by performing predetermined weighting on the number of reservations and the number of sales. In step S26, the demand amount calculation unit 43 executes step S2.
The demand amount calculated by the process of 5 is output to the pricing index calculation system 13.

Next, referring to the flowchart of FIG.
The pricing index calculation process executed by the pricing index calculation system 13 will be described. In step S <b> 41, the pricing index calculation unit 51 captures the number of exposures from the number-of-exposures calculation system 11 and captures the amount of demand from the demand amount calculation system 12. Then, in step S42, the pricing index calculation unit 51 selects one function from a plurality of pricing functions (for example, a linear pricing function and a nonlinear pricing function described later) for calculating the pricing index. Thereafter, in step S43, a price index is calculated by applying the number of exposures and the demand amount to the selected pricing function.

The pricing index calculated by the pricing index calculation section 51 is supplied to the pricing index disclosure section 52 and stored in step S44. Pricing index disclosure section 52
Publishes the stored pricing index to a third party in step S45.

Next, a specific example of the pricing index will be described in more detail. Now, let EXP be the number of exposures (number of concerts) related to a concert of a given artist, and NEED be the number of people who want to purchase the concert (demand). The base price of the concert is SRP, and the selling price (pricing index) is Going.

When the balance between the number of exposures EXP and the demand amount NEED is within a certain range, the pricing index Going is considered to be equal to the reference price SRP. And in general, the number of exposures E
When XP becomes larger than the demand amount NEED, the price index Going is smaller than the reference price SRP because the supply is excessive. On the other hand, if the number of exposures EXP is less than the demand amount NEED, it is considered that there is a shortage of supply and the pricing index Goin
g is higher than the base price SRP.

Based on this principle, the number of exposures EXP and the demand N
An example of calculating a pricing index Going by applying a linear function to EED will be described.

For example, in this case, the linear pricing function is defined as expressed by the following equation (1). Going = SRP × F (NEED, EXP) (1) Here, the value of F is represented by the following equation (2). F = (NEED / EXP) × 0.05 (2) When following the above equation (2), for example, when 100 people want the concert in a predetermined period and hold 5 concerts, The obtained value F becomes 1 as expressed by the following equation (3). F = (100/5) × 0.05 = 1 (3) Accordingly, at this time, the pricing index Going has a value equal to the reference price SRP.

On the other hand, for example, if 200 people want the concert and five concerts are held, the value of F is 2 as shown in the following equation (4). F = (200/5) × 0.05 = 2 (4) Therefore, at this time, the pricing index Going is twice the reference price SRP.

Further, when one person desires and holds five concerts, the value F becomes 0.01 as shown in the following equation (5). F = (1/5) × 0.05 = 0.01 (5) Therefore, in this case, the pricing index Going is 1 of the reference price SRP.
It is a percentage value.

As described above, when the linear pricing function is applied, the pricing index significantly rises or falls in accordance with the number of exposures and the demand. In order to suppress this, for example, it is conceivable to apply a nonlinear pricing function such as the following equation (6).

Going = SRP + G (NEED, EXP) × SRP = SRP (1 + G (NEED, E × P)) (6) Here, the value of G is represented by the following equation (7). G = (√ ((NEED / EXP) × 0.05) −5) / 10 (7) Assuming that the value of NEED is 10,000 and the value of EXP is 5, the value of G is As shown by the following equation (8), 0.5
Becomes G = (√ ((10000/5) × 0.05) −5) / 10 = (10−5) /10=5/10=0.5 (8) Therefore, in this case, the pricing index Going is SRP 1.5
(= 1 + 0.5) times.

On the other hand, the value of NEED is 1 and the value of EXP is 5
In the case of, as shown in the following equation (9), the value of G is
-0.49.

G = (√ (１ ／ × 5/100) −5) / 10 = (1 / 10−5) /10=−4.9/10=−0.49 (9) In this case, the price index Going is 0.51 (= 1−0.49) times the reference price SRP.

The calculation processing by such a function is as follows.
It may be executed each time, or the result may be read by referring to a table prepared in advance.

Next, the weighting of the number of exposures will be described. If the sum of the number of exposures of the first-class concert venues (number of appearances) and the number of exposures of the second-class concert halls (number of appearances) is calculated as the number of exposures without weighting them, the exact number of exposures is not necessarily obtained May not be possible. Therefore, in such a case, weighting can be performed.

For example, the number of exposures at a prestigious concert venue
EXPSec and the number of exposures of second-class concert venues
ond. Then, a weighting function H is added to the number of exposures EXPFirst.
Is applied, the weighting function I is applied to the number of exposures EXPSecond, and the sum thereof is defined as the number of exposures EXP in the above-described linear value function or nonlinear value function. The number of exposures EXP is expressed by the following equation (10). You. EXP = H (EXPFirst) + I (EXPSecond) ... (10) For example, EXPFirst
Is weighted 100 times with respect to the number of exposures EXPSecond at the second-class concert venue, the number of exposures EXP is
It is represented by the following equation (11). EXP = 100 × EXPFirst + EXPSecond (11) Of course, such weighting may be applied to the number of exposures of three or more ranks.

The demand amount can be similarly weighted. The total number of concerts already sold during a predetermined period is NEEDSold, and the total number reserved is NEEDBook. Apply function J to demand NEEDSold to calculate demand NEEDBook
, The value of the demand NEED of the linear pricing function or the nonlinear pricing function is expressed by the following equation (12). NEED = J (NEEDSold) + K (NEEDBook) (12) Assuming that the actually sold demand is weighted 10 times the demand of reservations that may be canceled, the demand NEED is expressed by the following equation (13). NEED = 10 × NEEDSlod + NEEDBook (13) Of course, in this case, weights may be applied to the demands of three or more ranks.

Further, it is possible to weight areas, networks, and the like. For example, EXPCountry, EXPFirst
Country, EXPSecondCountry, demand amount is NEEDCountry, NE
The EDSoldCountry and NEEDBookCountry are used to calculate the number of exposures and demand in areas of high importance (urban areas), respectively.
n, EXPFirstUrban, EXPSecondUrban, NEEDUrban, NEEDS
oldUrban and NEEDBookUrban, and a predetermined weighting function can be applied to each.

The above-mentioned pricing agent 1 can be provided for each predetermined country, region, or region. In this case, it is also possible to calculate a global pricing index integrating them. FIG. 8 shows a configuration example of a network system in such a case. In this configuration example, pricing agents 1-1 to 1-m and a meta-pricing agent 61 are connected to the Internet 2. The meta-pricing agent 61 includes pricing agents 1-1 to 1-
Obtain the pricing indices of m and integrate them to calculate a global pricing index.

FIG. 9 shows a configuration example of such a meta-pricing agent 61. The storage unit 72 stores the pricing index supplied from the pricing agents 1-1 to 1-m via the Internet 2 to the number of users of each pricing agent 1, the distribution amount of concerts,
It is stored together with information such as the amount of use (holding) of the concert. The performance calculating unit 71 calculates the performance of each of the pricing agents 1-1 to 1-m stored in the storage unit 72 for a predetermined period, and stores the result in the storage unit 72. Function generator 7
3 generates a performance evaluation function for evaluating the performance of the pricing agent 1 based on the performance calculated by the performance calculation unit 71, and generates a new pricing function based on data from each pricing agent 1. Is generated and stored in the storage unit 72.

The publishing unit 75 reads out the results calculated by the results calculating unit 71, the pricing function generated by the function generating unit 73, and, if necessary, the capability evaluation function from the storage unit 72, and reads out each pricing. Agent 1
1 to 1-m. The pricing index calculation unit 74 reflects the pricing function generated by the function generation unit 73 and stored in the storage unit 72 in a pricing index calculation process executed by the meta-pricing agent 61 by itself. Execute the calculation process. This processing is the same as the processing performed by the pricing index calculation unit 51 of the pricing agent 1.

Next, the processing in the network system of FIG. 8 will be described with reference to the flowcharts of FIGS. 10 and 11. The flowchart of FIG. 10 illustrates the processing of the pricing agent 1, and the flowchart of FIG. 11 illustrates the processing of the meta-pricing agent 61.

First, the processing of the pricing agent 1 in FIG. 10 will be described. In step S61, the pricing index calculation unit 5 of the pricing agent 1
1 is a public part 75 of the meta-pricing agent 61
It takes in various parameters supplied from. The parameters include the results transmitted by the meta-pricing agent 61 in steps S84 and S87 described later, a new pricing function, a capability evaluation function, a global pricing index, and the like. In step S62, the pricing index calculation unit 51 sets a pricing function for calculating a pricing index based on the parameters captured in step S61. Then, using the pricing function, as described above, the pricing index calculation unit 51 executes the processing of calculating the pricing index.

In step S63, the pricing index calculating section 51 determines the set pricing function, the pricing index obtained by using the function, the number of users, the amount of concert distribution, the concert holding fee, the target period, and the like. , To the meta-pricing agent 61.

On the other hand, the meta-pricing agent 61
The storage unit 72 stores the pricing function supplied from the pricing agents 1-1 to 1-m in step S81,
Data such as a pricing index, the number of users, the amount of concert distribution, the concert fee, and the target period are captured and stored. In step S82, the performance calculation unit 71 compares the relationship between the number of users of the predetermined pricing agent 1 and the distribution amount of the concert with those values of other pricing agents 1 or with values in other periods. Thus, the performance of each pricing agent 1 for a predetermined period is calculated. The calculation result is supplied to the storage unit 72 and stored.

Here, the performance of the pricing agent 1 will be described. The role of the pricing agent 1 is, for example, a role as a secondhand appraiser. In other words, the role is to give the market value of generally accepted products (services). Such a performance of the pricing agent 1 can be determined by a distribution amount of the product (service) at a pricing index (price) set by the pricing agent 1.

Alternatively, for a given concert,
In the case where the first pricing agent 1 has set the pricing index A and the second pricing agent 1 has set the pricing index B, the number of the number adopted as the actual selling price of the concert is calculated. The larger the number, the better the pricing agent 1 can be evaluated.

Further, the standard deviation of the actual transaction price where various prices exist is taken, and it is statistically checked whether the standard deviation is closer to the pricing index A or the pricing index B. Can be grades.

Weighting can also be applied to this result. For example, it is assumed that the population of the trading area a covered by the pricing agent 1 presenting the pricing index A is 1,000,000, and the population of the trading area b covered by the pricing agent 1 presenting the pricing index B is 10,000. .
In this case, it is assumed that 200 people actually traded with the price index A in the trade area a, and 100 people actually traded with the price index B in the trade area b. Here,
Assume that there was no transaction at any other price.

In this case, in the real number, the pricing agent 1 in the trade area a has better performance, but considering the ratio to the population, the accuracy of the pricing agent 1 presenting the pricing index A is 200 / 1,000,000, whereas the accuracy of the pricing agent 1 that has presented the price index B is 100 / 10,000. Therefore, in this case, the pricing agent 1 in which the pricing index B is set has 50 times better performance than the pricing agent 1 in which the pricing index A is set.

Also, the same pricing agent 1 may have different results depending on the category (genre) of the concert to be provided. For example, it may be that the price of a classic is excellent, but the price of jazz, rock and the like is not excellent.

Therefore, it is possible to obtain both a score for each category and a score obtained by integrating the scores. As a result, more accurate performance evaluation can be performed.

Furthermore, the category can be classified not from the viewpoint of the service providing side but from the viewpoint of the service receiving side. For example,
The results can be calculated for each category such as age, gender, and occupation. Thus, for example, under 20 years old, 20
By finding results for each category, such as ages 40 to 40 and over 40, and comparing the results for each age group, the results are excellent for young people, but not good for older people. Can also be grasped. Alternatively, it is possible that the performance between men and women was good, but the performance only for women was not necessarily good.

As a result, a difference in ability of the pricing agent 1 for each category can be detected as a score. For example, the first pricing agent presents a price index for a concert to be sold to a male customer, which is easy to negotiate (although the performance is good). It is possible to make a determination that the negotiations are difficult to complete and the results are poor.

In step S83, the function generator 73
Is a performance evaluation function for evaluating the performance of the pricing agent 1 from the data of each pricing agent 1 stored in the storage unit 72, and the performance is considered.
Generate a new pricing function to get better performance. The capability evaluation function and the pricing function are supplied to the storage unit 72 and stored.

Here, the ability evaluation function means, for example, the ratio of purchasers in each commercial area taking into account the population described above: 200 / 1,000,000 100/10000. This capability evaluation function is set for each predetermined measurement period. That is, the setting period is one of the parameters of the function. Therefore, extending or shortening the period also modifies the capability evaluation function.

In step S84, the disclosure unit 75
Each pricing agent 1 stored in the storage unit 72
Is transmitted to each pricing agent 1 via the Internet 2. As described above, each pricing agent 1 captures this data as a parameter in step S61, sets a pricing function based on the parameter in step S62, and sets a pricing index based on the pricing function. It will be calculated. The ability evaluation function is used to evaluate one's own ability.

Note that each pricing agent 1
Considering the characteristics of its own processing range (the characteristics of each region or each network), if there are any parameters that can be freely changed among the pricing functions sent from the meta-pricing agent 61, By adjusting it, you set a pricing function that fits your own processing range. If the performance is good, each pricing agent 1
It is also possible to use the pricing function that has already been adopted as it is, without using the pricing function sent from.

Further, each pricing agent 1
It is also possible to modify the pricing function by performing weighting according to the range covered by oneself. For example,
In a network covered by oneself, if the ratio of commercial vendors is higher than in other networks, when determining the demand, lower the weight of commercial demand to non-commercial demand. It is also possible to

In other words, in this case, H = EXPFirst × 100 I = EXPSecond can be changed to H = EXPFirst × 100 I = EXPSecond × 5. As a result, relative to EXPFirst
Will be lighter than the weight of EXPSecond.

Similarly, the meta-pricing agent 6
Also in step S85, in step S85, processing is performed in the pricing index calculation unit 74 so that the pricing function is reflected in the function for pricing itself. Then, in step S86, the pricing index calculation unit 74 calculates a global pricing index based on the pricing index of each pricing agent 1. Specifically, for example, a predetermined weight is given to the pricing index of each of the pricing agents 1-1 to 1-m, the sum is calculated, and the average value is calculated as a global pricing index. In step S87, the disclosure unit 75 transmits the global pricing index calculated by the pricing index calculation unit 74 and stored in the storage unit 72 to each pricing agent 1. Each pricing agent 1 modifies the pricing function again based on this global pricing index. Of course, the global pricing index calculated in this way is released to a third party for a fee.

As described above, the third party obtains a price index for each region, country, and region, and a global price index as necessary, and, based on the index, obtains a specific index. The selling price can be determined.

Further, each pricing agent 1
It is possible to calculate a price index in a region, a region, a country, or the like of one's own in consideration of not only conditions such as a region, a region, or a country to which oneself belongs, but also global conditions. Thereby, a more accurate pricing index can be obtained.

As described above, according to the present invention, the concert supply amount is determined based on the rank information of the concert venue.
Since the number of exposures is calculated, it is possible to accurately calculate a pricing index corresponding to the concert.

The number of exposures may be calculated by multiplying the total sales amount of the concert or the number of online visits to the concert guide homepage by a predetermined weighting factor.

The Internet 2 of the network system shown in FIG. 8 includes, for example, JP-A-11-196113.
And a system for determining the price of a tangible object disclosed in
In this case, information on these systems can be collected as appropriate, and a global pricing index can be calculated.

In the above description, an example in which a price index of an artist's concert is calculated has been described. However, the present invention is not limited to this.
The concept similar to the tangible object can be applied to the case where the price index of various services for which the supply amount cannot be determined is calculated.

The exposure number calculation system 11, demand amount calculation system 12,
And the pricing index calculation system 13, the number-of-appearances management unit 31, the extraction unit 32, the rank division management unit 33, and the number-of-exposures calculation unit 34 of the number-of-exposures calculation system 11, and the total number management unit 41 of the demand amount calculation system 12. , Sales volume totaling management unit 42, demand amount calculation unit 43, pricing index calculation unit 51 of pricing index calculation system 13, pricing index disclosure unit 5
2, the detection unit 53, and the performance calculation unit 71, the storage unit 72, the function generation unit 73, the pricing index calculation unit 74, and the disclosure unit 75 of the meta-pricing agent 61, It is composed of a computer. For example, when the pricing index calculation system 13 is configured by a computer, it is configured as shown in FIG.

The CPU (Central Processing Unit) 81
Various processes are executed in accordance with programs stored in a ROM (Read Only Memory) 82 and a storage unit 88. RA
Programs and data necessary for the CPU 81 to execute various processes are appropriately stored in an M (Random Access Memory) 83. CPU 81, ROM 82, and RAM 83
Are connected to each other via a bus 84,
It is also connected to the input / output interface 85. The input / output interface 85 includes an input unit 86 including a keyboard and a mouse, an LCD (Liquid Crystal Display),
An output unit 87 composed of an RT (Cathode RayTube), a speaker and the like, a storage unit 88 composed of a hard disk and the like, and a communication unit 89 communicating with the Internet 2 are connected.

The input / output interface 85 includes:
A drive 90 for installing a program is connected, and a magnetic disk 101, an optical disk 10
2. Magneto-optical disk 103 or semiconductor memory 104
And so on. The various processes described above are executed by the CPU 81 according to a program (software).

The above series of processing can be executed by hardware, but can also be executed by software. When a series of processing is executed by software, a program constituting the software executes various functions by installing a computer built in dedicated hardware or installing various programs. For example, it is installed from a recording medium to a general-purpose personal computer or the like.

As shown in FIG. 12, the recording medium is a magnetic disk 101 (including a floppy disk) on which the program is recorded, which is distributed separately from the computer to provide the user with the program, and the optical disk 1.
02 (CD-ROM (Compact Disk-Read Only Memory), DVD (Di
gital Versatile Disk), magneto-optical disk 10
3 (including an MD (Mini-Disk)) or a package medium including a semiconductor memory 104, etc., as well as a program stored in a computer and provided to the user in advance.
M82 and a hard disk included in the storage unit 88.

In this specification, the step of describing a program recorded on a recording medium is not limited to processing performed in chronological order according to the described order, but is not necessarily performed in chronological order. This also includes processing executed in parallel or individually.

In this specification, the system is
It represents the entire device composed of a plurality of devices.

[0080]

As described above, according to the information processing apparatus according to the first aspect, the information processing method according to the fourth aspect, and the program recorded on the recording medium according to the fifth aspect, the history is obtained. The number of exposures is calculated based on the information and the rank information, and the price index of the service is calculated based on the number of exposures and the demand amount. And it can be calculated quickly.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration example of a network system to which the present invention has been applied.

FIG. 2 is a block diagram illustrating a configuration example of an exposure number calculation system in FIG. 1;

FIG. 3 is a block diagram illustrating a configuration example of a demand amount calculation system in FIG. 1;

FIG. 4 is a block diagram showing a configuration example of a pricing index calculation system of FIG. 1;

FIG. 5 is a flowchart illustrating a publication number calculation process of the exposure number calculation system of FIG. 2;

FIG. 6 is a flowchart illustrating a demand amount calculation process of the demand amount calculation system of FIG. 3;

FIG. 7 is a flowchart illustrating a pricing index calculation process of the pricing index calculation system of FIG. 4;

FIG. 8 is a block diagram showing a configuration example of another network system to which the present invention is applied.

FIG. 9 is a block diagram illustrating a configuration example of a meta-pricing agent of FIG. 8;

FIG. 10 is a flowchart illustrating the operation of the pricing agent of FIG.

FIG. 11 is a flowchart illustrating a process of the meta-pricing agent of FIG. 9;

FIG. 12 is a block diagram illustrating a hardware configuration example of a pricing index calculation system.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 Pricing agent, 2 Internet, 3-1 thru 3-n Web server, 11 Exposure number calculation system, 12 Demand amount calculation system, 13 Pricing index calculation system, 31 Appearance frequency management unit, 32
Extraction unit, 33 venue ranking division management unit, 34 number-of-exposure calculation unit, 41 reservation number total management unit, 42 sales number total management unit, 43 demand amount calculation unit, 51 price index calculation unit, 52 price index open unit, 53 detector

Claims (5)

[Claims] An acquisition unit that acquires history information about a service; a rank setting unit that sets a rank for each venue of the service; and a rank information about the venue, the rank of which is set by the rank setting unit. Storage means for storing; first calculation means for calculating the number of exposures based on the history information obtained by the obtaining means; and the rank information stored in the storage means; A second calculating unit that calculates the number of exposures calculated by the first calculating unit and the demand index calculated by the second calculating unit. An information processing apparatus comprising: a third calculating unit for calculating. 2. The information according to claim 1, wherein the first calculating unit calculates the number of exposures by weighting each of the places where the rank is set with a different value. Processing equipment. 3. The second calculating means has a plurality of functions for calculating a pricing index of the service based on the number of exposures and the demand of the service, and selects one function from the plurality of functions. The information processing apparatus according to claim 1, wherein a price index of the service is calculated. 4. An acquisition step for acquiring history information about a service; a rank setting step for setting a rank for each venue of the service; and a rank about the venue, the rank being set by the processing of the rank setting step. Calculating a number of exposures based on a storage control step of controlling storage of information; the history information obtained by the processing of the obtaining step; and the rank information whose storage is controlled by the processing of the storage control step. First
Calculation step, a second calculation step of calculating the demand of the service, the number of exposures calculated by the processing of the first calculation step, and the number of exposures calculated by the processing of the second calculation step. A third calculating step of calculating the service pricing index based on the demand amount. 5. An acquisition step for acquiring history information relating to a service; a rank setting step for setting a rank for each venue of the service; and a rank relating to the venue, the rank being set by the processing of the rank setting step. Calculating a number of exposures based on a storage control step of controlling storage of information; the history information obtained by the processing of the obtaining step; and the rank information whose storage is controlled by the processing of the storage control step. First
Calculation step, a second calculation step of calculating the demand of the service, the number of exposures calculated by the processing of the first calculation step, and the number of exposures calculated by the processing of the second calculation step. A third calculating step of calculating the price index of the service based on the demand amount. A computer-readable recording medium storing a computer-readable program.