JP2009181400A - Customer preference information management system - Google Patents

Abstract

Kind Code: A1 To store preference information represented by purchase history related to a consumer's own products (including services; the same applies hereinafter), and use the stored preference information.
A storage device of a customer preference information management system includes a registered user information table storing member registration information including a user ID, and a product code for each of a plurality of types of products provided by each of a plurality of sellers. , A product information table storing product information including a product code and a product attribute element, and a preference information table are stored. When at least one of purchase, browsing or evaluation of a product is performed by a registered user, the preference information table 83b stores preference information including a user ID, a product code, and a product attribute element.
[Selection] Figure 7

Description

  The present invention relates to a customer preference information management system.

  FIG. 20 is a block diagram showing an example of a conventional customer management system. FIG. 20 shows an aspect in which each of the company A and company B who sells products and the like includes a store equipped with a POS terminal, a POS server, a Web sales server, and a customer data management system. .

  Using a customer terminal (personal computer or the like) 52, a product or the like can be purchased using a web page provided by the company A web sales server 56. When a product or the like is purchased using a Web page provided by the A company Web sales server 56, customer identification information (customer name, address, credit card number, etc.) is sent from the A company Web sales server 56 to the A company customer data. It is sent to the management system 55. In the A company customer data management system 55, customer identification information and purchased product information (product name, etc.) are accumulated. When a customer visits a company A store and purchases a product, information on the product purchased from the POS terminal 51 installed in the company A store and customer information (gender, age group, etc.) are stored in the company A POS server 54. Sent to the company A customer data management system 55 and stored. The same applies to Company B.

  The customer information input to the POS terminals 51 and 53 may include information for identifying the customer. In this case, for example, a membership card including customer identification information such as a point card issued by a dealer is used.

  Each distributor proposes a product suitable for the customer by analyzing the customer's preference based on the customer sales information stored in the customer data management systems 55 and 59 (for example, by e-mail or the like). Product).

  However, in the system shown in FIG. 20, since the product sales information for each customer is closed within each seller, the product proposal from Company A reflects the past purchase history of Company B when viewed from the customer. It will not be a thing. Proposals are basically made at the convenience of the seller. If the customer has a willingness to purchase a certain range of products and wants to narrow down specific products, the customer can connect to the Web sales server 56, 58 from the customer terminal 52 and input the conditions of the product. The product must be proposed for each merchant that wants to receive the proposal.

  FIG. 21 is a block diagram showing another example of a conventional customer management system. The customer possesses a portable terminal (such as a cellular phone) 63 containing an IC chip in which prepaid electronic money information issued by a settlement company is recorded. When a customer purchases a product at a store of Company A or Company B, the IC chip built-in portable terminal 63 is brought close to the IC chip readers 61 and 65 connected to the POS terminals 62 and 66. At this time, settlement is performed between the IC chip built-in portable terminal 63 and the settlement system 68 of the settlement company. The payment record is transferred from the payment company payment system 68 to the customer data management system 67 of the customer information central management company. The point information issued by each store is collected and centrally managed by the central management company customer data management system 67.

  In this way, customer information, settlement information, and point information are collected in the central management company customer data management system 67, so that the customer can connect to the central management company customer data management system 67 via the network from the IC chip built-in portable terminal 63. This information and information about each member store can be inquired collectively. Each member store does not manage customer information independently, but by requesting the customer information central management company, the customer's IC chip mobile phone based on the customer's attribute information registered with the customer information central management company. Sales promotion information (product proposal, etc.) can be transmitted to the terminal 63 by using e-mail, Web page, or other methods.

  However, the customer information managed by the customer information central manager does not include product sales information for each customer. Therefore, merchandise proposals from member stores are made based only on fixed information registered in advance by the customer, and do not reflect the purchase history of the customer. Proposals are made at the convenience of each member store, and are not made based on the customer's willingness to purchase products.

  The conventional system shown in FIG. 22 is generally called “reverse auction” or “reverse auction”. In this system, when a customer connects to a brokerage system 73 from a customer terminal 71 and inputs information of a product desired to be purchased, the information is transmitted from the brokerage system 73 to the merchandise proposal systems 72 and 74 of the affiliated dealers. Is done. The product proposal systems 72 and 74 estimate the price of the received desired product and send the result to the mediation system 73. The mediation system 73 transmits the estimated price from the product proposal systems 72 and 74 to the customer terminal 71 or transmits the estimated price with the lowest amount. There is also a form in which the product proposal systems 72 and 74 transmit the estimated price directly to the customer terminal 71.

  As a result, when the customer has a willingness to purchase the product, the customer can purchase the product from a seller who has presented the cheapest estimated price for his / her wish. However, this system presents a price for a clearly defined desired product, and does not propose a product suitable for the customer from among products that satisfy the desired condition.

In the system described in Patent Document 1, a customer selects a certain product in a virtual store on a Web site, and then requests a proposal for a combination of products suitable for the product. Upon receiving the proposal request, the coordination server generates a condition that matches the palatability from the customer transaction history, and transmits proposal request information including the condition to a plurality of product proposal servers. The coordination server that has received the product information extracted by each proposal server presents the information to the customer.
JP 2001-22831 A

  When a customer purchases a certain product, the customer can receive a product proposal suitable for his / her preference for the product combined with the product. However, in a situation where a new product is intended to be purchased but the product itself is not yet clearly defined, it is not possible to request a proposal for the product based on the customer's will. Further, the transaction history in this system is assumed to be based on electronic commerce in a virtual store on a Web site, and does not correspond to product purchase in an actual store.

  An object of the present invention is to accumulate preference information represented by a purchase history related to a consumer's own products (including services, the same applies hereinafter), and to use the accumulated preference information.

  The customer preference information management system according to the present invention includes, for each registered user, a registered user information table in which member registration information including a user ID for identifying the registered user is stored, and a plurality of types of products provided by each of a plurality of sellers. Product attribute for one or more product attributes that represent the product code that identifies the product, the product class code that represents the product to which the product identified by the product code belongs, and the characteristics of the product that is identified by the product code Product information table including product information, including elements, and the user ID, the product code, and the product created in response to at least one of purchase, browsing, or evaluation of a product by a registered user Preference information table that stores preference information including attribute elements, by registered users Customer information for receiving the user ID and the product code transmitted from the mobile terminal owned by the registered user or the sales terminal installed in the store of the sales company when the product is purchased, viewed or evaluated Based on the user ID and product code received by the receiving means and the customer information receiving means, and the product information stored in the product information table, the preference information is created and stored in the preference information table. Preference information storage control means is provided.

  In the preference information table, preference information including a user ID, a product code, and a product attribute element is stored. The preference information is created by the preference information storage control means in response to at least one of purchase, browsing or evaluation of a product by a registered user. When a registered user purchases, browses, or evaluates a product, a product code that identifies the product purchased, viewed, or evaluated from a mobile terminal owned by the registered user or a sales terminal installed in a store of a sales company And the user ID are transmitted and received by the customer information receiving means. In accordance with the reception of the product code and the user ID, the preference information is sequentially accumulated (stored) in the preference information table.

  For each of a plurality of types of products provided by each of a plurality of distributors, a product code that identifies the product, and a product (for example, a shirt) to which a product (for example, a shirt manufactured by Company X) that is identified by the product code belongs. Product attribute element (for example, white, red, black, etc. for “color”) for the product class code to be represented and one or more product attributes (color, pattern, etc.) that represent the characteristics of the product identified by the product code A product information table is stored in which product information including “pattern” is stored. A product code and a product attribute element corresponding to the product code received by the customer information receiving unit are specified from the product code received by the customer information receiving unit and the product information in the product information table. Preference information including the user ID, the product code, and the product attribute element is created by the preference information storage control means and stored in the preference information table.

  In the preference information table, preference information is sequentially accumulated in response to at least one of purchase, browsing, and evaluation of products by registered users, so any user can see what characteristics (color, pattern, etc.). Etc.) are stored in the preference information table.

  The preference information stored in the preference information table represents the registered user's interest, actual purchase performance, and the like. When the preference information stored in the preference information table is used to propose a new product for a registered user, there is a high possibility that the preference information can be made in accordance with the preference of the registered user.

  In one embodiment, in the member registration information table, an e-mail address of a mobile terminal owned by a registered user is stored in association with the user ID, and the user ID and the user ID transmitted from the mobile terminal are stored. Narrowing condition receiving means for receiving a narrowing condition for products, preference information stored in the preference information table for the registered user specified by the user ID received by the narrowing condition receiving means, and the narrowing condition for the products Product proposal request transmitting means for transmitting to the product proposal system owned by the seller, proposed product information receiving means for receiving the proposed product information transmitted from the product proposal system based on the product refinement condition and preference information, And the proposed product information received by the proposed product information receiving means is the electronic mail. - using the address further comprises a proposed information transmitting means for transmitting to the portable terminal.

  According to the present invention, the product narrowing condition and user ID transmitted from the mobile phone are transmitted to the product proposal system owned by the seller via the customer preference information management system. The preference information including the user ID, product code, and product attribute element of the registered user as well as the product refinement condition is also sent, so the product proposal system owned by the seller can only be requested by the user (product refinement condition) In addition, it is possible to select (suggest) a product to be proposed to the user in consideration of the user's preference.

  In this invention, the product proposal system may simply receive the product narrowing conditions and user preference information. In this case, an employee of the seller confirms the received narrowing conditions and preference information, and selects a product that the employee should propose. Of course, the product proposal system may be a computer device that performs a product search using narrowing-down conditions and preference information. In this case, the product to be proposed is selected by the computer device that performs the product search, or the product to be finally proposed is selected by the employee of the dealer based on the output result of the computer device that performs the product search. Let's do it.

  In any case, the proposed product information transmitted from the product proposal system is received by the proposed product information receiving means and transmitted to the portable terminal using the electronic mail address. A registered user can receive a product selected based on his / her preference (purchase record, etc.) as well as the narrowing-down conditions.

  In one embodiment, the product refinement condition includes desired product specification information for specifying a product category of the desired product, and a desired attribute element for a product attribute of the desired product product specified by the desired product specification information. The product attribute element information and the degree of desire indicating the degree of request for the desired product attribute element information are included. For the proposed product in the proposed product information, a first value representing the degree of divergence between the product attribute element (for example, “white”) of the proposed product and the product attribute element (for example, “red”) of the desired product. And the desired product by multiplying the calculated first divergence by the first weight according to the desired degree (for example, “absolute”, “preferably”, “automatic”, etc.) Desired difference calculation means for calculating a desired difference indicating the degree of difference between the product attribute (for example, “color”) with the product is provided. A value (first divergence) indicating how close the proposed product is to the desired product according to the product narrowing conditions (distant) is calculated, and a first weight indicating the desired degree is calculated. The multiplied value is calculated as the desired difference. The desired difference represents not only the degree of difference between the proposed product and the desired product, but also the strength of the user's request. A value (this is the desired difference) that varies according to the strength of the user's request and represents the degree of difference between the proposed product and the desired product can be objectively grasped about the proposed product.

  When there are multiple types of product attributes for the proposed product and the desired product (for example, “color” and “pattern”), the value obtained by adding the desired differences calculated for each product attribute is used as the value between the proposed product and the desired product. It may be a desired difference.

  In another embodiment, the desired product element specifying information for specifying the desired product category, and the desired attribute element for the desired product category specified by the desired product category specifying information are specified as the product refinement condition. Desired product attribute element information and a degree of desire representing the degree of request for the desired product attribute element information are included. For the proposed product in the proposed product information, between the product attribute element of the proposed product and the product attribute element included in the preference information about the same product as the proposed product stored in the preference information table. The product attribute between the proposed product and the preference information is calculated by calculating a second divergence degree representing the degree of divergence of the product and multiplying the calculated second divergence degree by a second weight according to the desired degree. Preference difference calculating means for calculating a preference difference representing the degree of difference regarding A value (second divergence) indicating how close the proposed product is to the preference information (distant) is calculated, and a value obtained by multiplying the value by the second weight indicating the desired degree is calculated. , Calculated as a preference difference. The preference difference represents not only the degree of difference between the proposed product and the preference information, but also the strength of the user's request. A value that varies according to the strength of the user's request and represents the degree of difference between the proposed product and the preference information (this is a preference difference) can be objectively grasped about the proposed product.

  If there are multiple types of product attributes for the proposed product and preference information (for example, “color” and “pattern”), the value obtained by adding the preference difference calculated for each product attribute is used as the value between the proposed product and the preference information. It may be a preference difference. Further, when there are a plurality of preference information belonging to the same product category as the proposed product, the second divergence degree may be an average of the divergence degrees between the proposed product and each of the plurality of preference information.

  More preferably, by calculating the reciprocal of the desired difference value calculated by the desired difference calculating means and the added value of the preference difference calculated by the preference difference calculating means, the proposed product, the desired product, and the Suitability calculation means is provided for calculating a suitability representing the degree of fit with a combination of favorite products. Based on both the desired difference and the preference difference described above, it is possible to obtain a value (fitness) that objectively represents how much the proposed product meets the user's desire and the user's preference.

  For each of a plurality of types of product attribute elements (for example, “white”, “red”, “pink”, etc.), product attribute distances representing the first and second divergence degrees between the product attribute elements are stored. A product attribute distance table and a weight table in which the first weight and the second weight corresponding to the desired degree are stored for each desired degree may be prepared in advance. In this case, the above-mentioned desired difference, preference difference, and fitness are calculated using the product attribute distance table and the weight table.

  Since the fitness is calculated based on the user's desire (squeezing condition) and the user's preference information, it is calculated not only by the user's wish but also by reflecting the user's potential preference tendency. The calculated fitness can be used, for example, for determining the presentation order when there are a plurality of proposed products, and for separating the presented products and non-presented products when there are a plurality of proposed products.

  The present invention further provides a system for calculating the above-described fitness and a program for operating the system. The degree-of-fit calculation system according to the present invention includes desired product category specifying information for specifying a product category (for example, a shirt) to which the desired product belongs, and a product attribute (for example, “color” of the desired product identified by the desired product category specifying information. )) For the desired product attribute element information specifying the desired attribute element (for example, “white”), and a desired level (for example, “absolute”, “preferably”, “ Products that represent the products to which the above products belong, created by a narrowing condition acceptance means that accepts input of product narrowing conditions including “Omakase”, etc., and at least one of purchasing, browsing, or evaluating the products A preference information table storing preference information including code and product attribute elements representing the characteristics of the product, A first divergence degree representing a degree of divergence between the product attribute element of the proposed product and the product attribute element of the desired product is calculated, and the calculated first divergence is multiplied by the first weight according to the desired degree. A desired difference calculating means for calculating a desired difference indicating a degree of difference regarding the product attribute between the proposed product and the desired product, a product attribute element of the proposed product, and the preference information for the proposed product A second divergence degree representing a degree of divergence between product attribute elements included in the preference information for the same product as the proposed product among the preference information stored in the table is calculated, and the calculated second A preference difference calculating means for calculating a preference difference representing the degree of difference regarding the product attribute between the proposed product and the preference information by multiplying the degree of divergence by a second weight according to the desired level, and By calculating the reciprocal of the desired difference calculated by the desired difference calculating means and the addition value of the preference difference calculated by the preference difference calculating means, the proposed product and the combination of the desired product and the preference information A degree-of-fit calculation means for calculating a degree of fit representing the degree of fit between the two.

  FIG. 1 is a block diagram showing the overall configuration of the customer management system.

  The customer management system includes POS (Point Of Sale) terminals 12 and 22 connected to a network (such as the Internet) 1, product proposal systems 41 and 43, a customer preference information management system 42, and a portable terminal incorporating an IC chip. 30 and IC chip readers 11 and 21 connected to the POS terminals 12 and 22. In FIG. 1, there are two merchandise distributors, Company A and Company B, and POS terminals 12 and 22 and IC chip readers 11 and 21 are installed in stores 10 and 20 of Company A and Company B, And the mode in which each of company A and company B has product proposal systems 41 and 43 is shown. Of course, there may be three or more sales stores where POS terminals and IC chip readers are installed, and there may be three or more companies participating in the customer management system.

  The product proposal systems 41 and 43 and the customer preference information management system 42 are all computer systems including a CPU, a memory, a storage device, and the like. The operations (processing) of the product proposal systems 41 and 43 and the customer preference information management system 42 to be described later are such that programs stored in the respective storage devices of these computer systems control the CPU, memory, storage device and the like. To be executed.

  Further, each of the POS terminals 12 and 22, the product proposal systems 41 and 43, and the customer preference information management system 42 includes a data transmission / reception device, and can transmit and receive data via the network 1. The IC chip readers 11 and 21 include a transmission / reception device that transmits and receives data by short-range wireless communication with the portable terminal 30 and are electrically connected to the POS terminals 12 and 22 to be connected to the POS terminals 12 and 22. Data can be transmitted to and received from the terminal 22. The portable terminal 30 can perform long-distance wireless communication (Internet communication or the like) through the network 1 and can perform short-range wireless communication with the IC chip readers 11 and 21. When the mobile terminal 30 is a mobile phone, the mobile terminal 30 also includes an audio transmission / reception device.

  It is assumed that a customer who uses a service provided by the customer management system has a portable terminal (such as a cellular phone) 30 having an IC chip in which customer identification information (customer ID) is recorded. Needless to say, the number of mobile terminals 30 is not limited to one.

  A customer who uses the service provided by the customer management system performs membership registration in the customer management system in advance. FIG. 2 shows an example of the member registration information table 81, and this member registration information table 81 is stored in the storage device 42 a of the customer preference information management system 42. The member registration information stored in the member registration information table 81 includes the name, customer ID, address, telephone number, e-mail address, etc. of each member (customer) registered as a member in the customer management system. . One of the customer IDs included in the member registration information table is also stored in the IC chip of the portable terminal 30 as described above.

  First, the operation (processing) of the customer management system will be briefly described.

  When a customer purchases a product at a store 10 or 20 of company A or B, which is a member store of the customer management system, the customer is connected to the POS terminals 12 and 22 of the stores 10 and 20 by the IC chip reader 11. , 21 is held over the IC chip built-in portable terminal 30. Short-distance wireless communication is performed between the IC chip readers 11 and 21 and the IC chip built-in portable terminal 30, and the customer ID is read from the IC chip of the IC chip built-in portable terminal 30 by the IC chip readers 11 and 21. . The product information input to the POS terminals 12 and 22 and the customer ID read by the IC chip readers 11 and 21 are associated with each other and transmitted to the customer preference information management system 42 through the network 1. In the customer preference information management system 42, the received product information and customer ID are stored in the storage device 42a.

  When a customer has a desire to purchase a product and wants to narrow down a specific product, the customer uses the IC chip built-in terminal 30 to connect to the customer preference information management system 42 and inputs conditions of the desired product. The customer preference information management system 42 includes a product proposal request including the input product conditions and the customer preference information (details of preference information will be described later) stored in the storage device 42a of the customer preference information management system 42. Are transmitted to the product proposal systems 41 and 43 of the sales companies A and B which are member stores. Each of the product proposal systems 41 and 43 performs an analysis by an original method, extracts (determines) a proposed product for the product proposal request, and transmits identification information (product code, etc.) of the product to the customer preference information management system 42. To do. The customer preference information management system 42 transmits the product identification information proposed by the product proposal systems 41 and 43 to the customer's IC chip built-in portable terminal 30 by e-mail or Web page.

(1) Processing at the time of product purchase FIG. 3 is a flowchart showing details of the processing of the IC chip built-in portable terminal, IC chip reader, POS terminal, and customer preference information management system at the time of product purchase. Here, a case where a customer purchases a product at a store 10 of company A will be described as a specific example.

  A POS terminal 12 is installed in the store 10 (see FIG. 1). For example, a bar code printed on a price tag attached to a product is read by the POS terminal 12. Product identification information (product code), the number of purchases, and other information related to purchase contents are input to the POS terminal 12 (step 142).

  The POS terminal 12 transmits a request for reading customer identification information (customer ID) to the IC chip reader 11 connected to the POS terminal 12 (step 144).

  When the IC chip built-in portable terminal 30 owned by the customer is held over the IC chip reader 11, the IC chip reader 11 transmits a customer ID transmission request to the IC chip built-in portable terminal 30 (step 122).

  The IC chip built-in portable terminal 30 transmits the customer ID stored in the IC chip to the requesting IC chip reader 11 (step 102).

  The IC chip reader 11 transmits the customer ID received from the IC chip built-in portable terminal 30 to the POS terminal 12 (step 124).

  The POS terminal 12 transmits product purchase information including product identification information (product code), information regarding the number of purchases and other purchase details, and a customer ID read by the IC chip reader 11 to the customer preference information management system 42. (Step 146).

  FIG. 4 shows an example of the product purchase information 82. The product purchase information 82 includes customer ID, purchase date and time, total price, product code for specifying the purchased product, unit price, and quantity data. Here, the product code for identifying the product is not used only within a specific dealer such as Company A or Company B, but is managed by the customer preference information management system 42 and used in common by each dealer. It shall be. The product purchase information 82 may include data (store identification information) for identifying the store where the product is sold.

  The customer preference information management system 42 registers (stores) the received product purchase information 82 in the storage device 42a (step 162), and updates the preference information about the customer specified by the customer ID included in the product purchase information 82. (Step 164).

  FIG. 5 shows an example of the preference information table 83a before update. A plurality of pieces of preference information are stored in the preference information table. The preference information includes customer IDs, product codes (codes that specify a general classification of products (for example, shirts)), and product attribute elements (color, Specific contents such as patterns and shapes), and cumulative purchases.

  FIG. 6 shows a product code for specifying a product included in the product purchase information 82, a product code for specifying a general classification of a product specified by the product code, and a product attribute element (color, pattern) specified by the product code. , Specific content such as shape) shows an example of the product information table 84 indicating the correspondence relationship. The product information table 84 shown in FIG. 6 is stored in the storage device 42a of the customer preference information management system 42.

  The customer preference information management system 42 compares the product purchase information 82 (FIG. 4) received from the POS terminal 12 with the product information 84 (FIG. 6) stored in the storage device 42a, and updates the preference information. . FIG. 7 shows a state where the pre-update preference information shown in FIG. 5 is updated (updated preference information table 83b).

  Referring to the product purchase information 82 in FIG. 4, the customer with the customer ID “CST12000” purchases one product with the product code “CMD34000” and purchases two products with the product code “CMD34500”. Referring to the product information 84 in FIG. 6, the product with the product code “CMD34000” is a product with a product code “CTG340” and a product attribute element “color = light blue, pattern = plain color”. The product with the product code “CMD34500” is a product with the product code “CMD345” and the product attribute element “color = blue, shape = general”.

  When the product purchase information 82 shown in FIG. 4 is received by the customer preference information management system 42 with reference to the preference information table 83a before update in FIG. 5 and the preference information table 83b after update in FIG. For the customer specified by “CST12000”, the number of purchases of the product code “CTG340” and the product attribute element “color = light blue, pattern = plain color” is updated from “1” to “2”. In addition, for the customer specified by the customer ID “CST12000”, a line (record) of a product code “CTG345”, a product attribute element “color = blue, shape = general”, and the number of purchases “2” is newly added. The

  Returning to FIG. 3, when the update of the preference information is completed, the customer preference information management system 42 transmits a registration completion notification to the transmission source POS terminal 12 (step 166). The POS terminal 12 displays that the processing at the time of product purchase is completed (step 148).

  FIG. 8 is a flowchart showing another example of processing at the time of product purchase. The same processes as those in the flowchart shown in FIG. 3 are denoted by the same reference numerals, and detailed description thereof is omitted. FIG. 8 shows processing when an IC chip reader / writer is installed in the stores 10 and 20 in place of the IC chip readers 11 and 21 in the overall configuration of the customer management system (FIG. 1). While the IC chip readers 11 and 12 only read data stored in the IC chip, the IC chip reader / writer not only reads data stored in the IC chip, Data is also written to the IC chip.

  After accepting the input of the purchase product identification information (product code, number of purchases, etc.) by the POS terminal 12 (step 142), the POS terminal 12 transmits the product identification information to the IC chip reader / writer (step 342). ). When the IC chip mobile terminal 30 is held over the IC chip reader / writer, the IC chip reader / writer writes the product identification information to the IC chip mobile terminal 320 (step 322). The product identification information is stored (registered) in the IC chip of the portable terminal 30 with built-in IC chip (step 302). After that, the IC chip built-in portable terminal 30 is connected to the customer preference information management system 42 by a long-distance wireless communication function (Internet communication or the like), and product purchase information 82 including a customer ID and product identification information stored in the IC chip. (FIG. 4) is transmitted (step 304).

  After registering the product purchase information 82 (step 162) and updating the preference information table 83a (83b) (step 164), the customer preference information management system 42 notifies the completion of the product purchase information registration to the portable terminal incorporating the IC chip. 30 (step 362). When the IC chip built-in portable terminal 320 receives the merchandise purchase information registration completion notification, the IC chip built-in portable terminal 320 notifies the customer by displaying on the screen (step 306). Since the customer ID is not read by the POS terminal 12 of the seller, anonymity can be improved.

  In the above-described processing at the time of product purchase (FIGS. 3 and 8), it is assumed that a customer purchases a product at the stores 10 and 20, but each seller opens using the IC chip built-in portable terminal 30. Even when a product is purchased at a virtual store on the Web, the product purchase information 82 (FIG. 4) is transmitted to the customer preference information management system 42 from the seller or from the IC chip built-in portable terminal 30. Good. Of course, it is needless to say that the seller needs to acquire the customer ID when transmitting from the seller.

  Further, in the preference information table 83a (83b) (FIGS. 5 and 7), not only when the customer actually purchases the product (when the product is sold by the seller), but also the stage where the customer purchases the product. If there is a product that you like, the information may be registered in the customer preference information management system 42 as preference information. In this case, for example, when a product that the customer is interested in or likes is sold (displayed) in the store, the product preference information including the product identification information and the customer ID of the product is obtained from the mobile terminal 30 as the customer preference. The information is transmitted to the information management system 42. For example, a two-dimensional barcode representing the URL of the product identification information and the customer preference information management system 42 is printed on the product tag. By reading the two-dimensional barcode using the camera function of the mobile terminal 30, the mobile terminal 30 acquires the product identification information and the URL of the customer preference information management system 42. When the acquired product identification information and the customer ID stored in the IC chip are transmitted to the customer preference information management system 42, the customer preference information management system 42 stores the information in the preference information table 83a (83b). Store as preference information. Registration of preference information based on product browsing (window shopping) by a customer is realized. Also, the customer can connect to the customer preference information management system 42 from the IC chip built-in terminal 30 and register the evaluation of the purchased or browsed product, and the evaluation is used as preference information as the preference information table 83a ( 83b) may be stored.

(2) Processing at the time of a product proposal request Processing when a customer has a desire to purchase products and narrows down specific products will be described. FIG. 9 and FIG. 10 are flowcharts showing details of respective processes of the IC chip built-in portable terminal, the customer preference information management system, the A company product proposal system, and the B company product proposal system at the time of the product proposal request.

  A request for a product proposal request screen (for example, URL: Uniform Resource Locator) is transmitted from the mobile terminal 30 with built-in IC chip to the customer preference information management system 42 by the operation of the customer (step 202).

  Upon receiving the request, the customer preference information management system 42 transmits data representing a product proposal request screen (for example, HTML (HyperText Markup Language) data) to the IC chip built-in portable terminal 30 (step 222). The product proposal request screen is displayed on the display screen of the IC chip built-in portable terminal 320.

  FIG. 11 shows an example of the product proposal request screen W1 displayed on the display screen of the IC chip built-in portable terminal 30. Information about the product, size, color, pattern, etc. that is desired to be proposed is input.

  Referring to FIG. 11, for example, on product proposal request screen W1, specific designation (designation of product attribute element), product attribute of each product type, size, color and pattern (product attribute) of the desired product Enter the degree of the request (“Omakase”, “Preferably” or “Absolute”) (this information input using the product proposal request screen W1 is called “desired product information”) and click the send button. Press. For product attributes whose degree of request is “Random” (for example, product attribute “color” in FIG. 11), there is no designation of product attribute elements (white, blue, pink, etc.). The IC chip built-in portable terminal 320 transmits the customer ID stored in the IC chip and the inputted desired product information to the customer preference information management system 42 (step 204).

  The customer preference information management system 42 creates request information including the received desired product information and stores (registers) it in the storage device 42a (step 224).

  FIG. 12 shows an example of the product proposal request information 85 created by the customer preference information management system 42 and stored in the storage device 42a. The request information 85 includes a customer ID, a proposal request date / time, a product code, and a product attribute element (size, color, degree of request for color, degree of request for pattern and pattern, etc.).

  The customer preference information management system 42 creates a product proposal request based on the created product proposal request information 85, and sends it to the product proposal systems 41 and 43 (see FIG. 1) of the sales companies A and B which are member stores. Transmit (step 226).

  FIG. 13 shows an example of a product proposal request 86 transmitted from the customer preference information management system 42 to the product proposal systems 41 and 43. The product proposal request 86 includes a proposal request number assigned when the desired product information is received from the customer (when the request information is created), a product code and product attribute element included in the request information, and a customer ID. The preference information (see FIG. 5 and FIG. 7) having the product code included in the proposal request for the customer specified by.

  The product proposal request 86 (FIG. 13) is transmitted only to the product proposal system of the sales company handling the products specified by the product code included in the desired product information (or product proposal request information 85) from the customer. You may do it. For example, if the product code included in the customer proposal request information 85 is a product code of clothing (such as a shirt), a product proposal request 86 is transmitted to the product proposal system of the sales company that sells the clothing, and the clothing The product proposal request 86 is not transmitted to the product proposal system of the sales company that does not sell the product. In this case, for each sales company, the product code of the product handled by the sales company is stored in advance in the storage device 42a of the customer preference information management system 42. The customer preference information management system 42 determines the transmission destination of the product proposal request 86 based on the product code included in the request information and the product code of the product handled by the sales company.

  Upon receiving the product proposal request 86 (FIG. 13) from the customer preference information management system 42, the product proposal systems 41 and 43 analyze the contents of the product proposal request 86 using their own methods, and select from the products sold by the company. A product suitable for the product proposal request 86 is extracted (determined) (steps 242 and 262). For example, the product proposal systems 41 and 43 extract handled products belonging to the products specified by the product code included in the product proposal request 86, and further, product attribute elements (size, color, pattern in the product proposal request 86) According to the specific content), a product that meets the customer's request is selected from the extracted handling products. In addition, since the product proposal request 86 includes customer preference information, it is possible to propose a product that is in line with the customer's preference (similar to products that have been purchased in the past). Products that are slightly out of sync, or that do not meet customer preferences (for example, by consciously proposing products that have a color or pattern different from those previously purchased by the customer, Expand the scope of choice). In any case, what product is selected (suggested) depends on the sales company (product proposal systems 41 and 43).

  Product proposal information including product identification information (product code) proposed (selected) by the product proposal systems 41 and 43 and the address of the inquiry page on the Web site is sent from the product proposal systems 41 and 43 to the customer preference information management system 42. (Step 244, step 264). The product code included in the product proposal information is also a product code used in common by each seller.

  FIG. 14A shows an example of product proposal information 87a created by the product proposal system 41 of the sales company A, and FIG. 14B shows an example of product proposal information 87a created by the product proposal system 42 of the sales company B. Are shown respectively. The product proposal information 87a, 87b includes a proposal request number, the number of proposed products, a serial number, a product code, a product content (product description), a unit price, a Web page address of an introduction page, a comment, a product image, and the like. .

  When the customer preference information management system 42 receives the product proposal information 87a, 87b (FIG. 14 (A), FIG. 14 (B)) from all the product proposal systems that have transmitted the product proposal request 86, the customer preference information management system 42 informs the customer preference information management system 42 of the customer To the e-mail address of the IC chip built-in portable terminal 30 (step 228).

  When receiving the product proposal notification mail, the IC chip built-in portable terminal 30 displays the mail by the user's operation (step 206). FIG. 15 shows an example of the product proposal notification mail W2. The product proposal notification mail W2 includes a link to the product proposal information screen (the character string portion of “Please check this page” in FIG. 15), and when this link is selected (clicked) The IC chip built-in portable terminal 30 transmits a request for the proposed product information screen to the customer preference information management system 42 (step 208).

  Upon receiving the request, the customer preference information management system 42 transmits data representing the proposed product information screen to the IC chip built-in portable terminal 320 (step 230). The product proposal information screen is displayed on the display device of the IC chip built-in portable terminal 320 (step 210).

  FIG. 16 shows an example of the product proposal information screen W3. On the product proposal information screen W3, a summary of the proposed product and a link to a detailed information page (Web page address of the introduction page) are displayed in a list. The customer selects (clicks on) these links (the character display portion of “Click here for details” in FIG. 16) to browse the product detailed information page of the Web page provided by each seller, and the product detailed information. In addition, information (sales stores, etc.) relating to the sale of products can be obtained. When the seller opens a virtual store on the Web site, the customer can purchase the product online as it is.

  In the above-described display of the proposed product information screen W3 (FIG. 16), when there are a plurality of product proposals, the customer preference information management system 42 adapts each proposed product to the customer based on the customer request information and preference information. The degree may be determined, and display using the degree of fitness may be performed on the proposed product information screen (FIG. 16).

  The fitness is calculated for each proposed product, and for example, the following equation is used.

  Goodness of fit = 1 / (desired difference + preference difference)

  Here, the desired difference and the preference difference are calculated by the following equations.

Desired difference = Σ (Weight by desired degree x Product attribute distance between proposed product and desired product)
... Formula 2
Preference difference = Σ (Weight by desired degree x Average product attribute distance between proposed product and favorite product)
... Formula 3

  Σ in Equation 2 and Equation 3 means adding a value calculated for each product attribute (color, pattern, etc.).

  The “average product attribute distance between the proposed product and the favorite product” in Formula 3 is calculated by the following formula for each product attribute.

  Σ (product attribute distance between proposed product and favorite product x number of purchases of favorite product) / total number of purchases of favorite product ・ ・ ・ Equation 4

  Σ in Equation 4 means adding a value calculated for each favorite product.

  Here, the “preference product” (Equation 3 and Equation 4) refers to a product category (product type) specified by each row (record) of preference information (see FIGS. 5 and 7) for a certain customer. .

  FIG. 17A shows a product attribute distance table regarding the product attribute “color” for the product code “CTG340” (specifically, “shirt”). FIG. 17B shows a product attribute distance table for the product attribute “pattern” of the product code “CTG340” (specifically, “shirt”). 17A and 17B is stored in the storage device 42a of the customer preference information management system 42 for each product and each product attribute (color, pattern, etc.).

  FIG. 18 shows a table representing the weight according to the degree of desire for the product “shirt”. Referring to FIG. 11, in this embodiment, the degree of hope is performed in three stages of “automatic”, “preferably” and “absolute” for each of the product attributes (here “color” and “pattern”). . In each of the calculation of the desired difference (Equation 2) and the calculation of the preference difference (Equation 3), the weight corresponding to the customer's desired degree according to the weight table shown in FIG. 18 is used. The weight table shown in FIG. 18 is also stored in the storage device 42a of the customer preference information management system 42.

  The calculation of the fitness will be specifically described. Here, it is assumed that the preference information shown in FIG. 7 exists and the product proposal request information shown in FIG. 12 exists based on the product proposal request screen shown in FIG. Referring to FIG. 7, two (2 records) preference information is obtained for the customer specified by customer ID “CST12000” and the product specified by product code “CTG340” (specifically, shirt). It is remembered. Referring to FIG. 11 and FIG. 12, the customer specified by customer ID “CST12000” uses the product proposal request screen (FIG. 11) to determine the size of product “shirt” (product code “CTG340”). = L, Color = Random, Pattern = Plain as plain as possible.

  The calculation of the fitness of the shirt of the proposed product “light blue plain L” (the top suggested product in FIG. 16) (product code “CMD34000”) will be described.

  First, calculation of desired difference (Formula 2) will be described.

(I) Product attribute “color”
The customer's desire is “automatic” for the product attribute “color”. Since the color of the proposed product matches the desired product, the product attribute distance between the desired product and the proposed product is “0.00” for the product attribute “color”. Is done. Referring to FIG. 18, when the customer's desired degree is “Random”, the weight due to the desired degree is not considered in calculating the desired difference. Eventually, for the product attribute “color”, “weight by desired degree × product attribute distance between proposed product and desired product” is 0.00.

(Ii) Product attribute “pattern”
Regarding the product attribute “pattern”, the customer's wish is “plain as much as possible”. The proposed product is a “light blue plain L” shirt. Referring to FIG. 17B, the product attribute distance for the product attribute “pattern” is “0.00” when the proposed product “plain” has the desired product “plain” (when they match). is there. Referring to FIG. 18, when the customer's desired degree is “as much as possible”, the weight “1” is used in calculating the desired difference. Since the product attribute distance for the product attribute “pattern” is “0.00”, for the product attribute “pattern”, “weight by desired degree × product attribute distance between the proposed product and the desired product” is 0. 00 (= 1 × 0.00).

  After all, the difference (desired difference) (formula 2) of the “light blue plain L” shirt (proposed product) from the customer's desired product (colored custom, plain shirt as much as possible) is 0.00 (= 0.0. 00 + 0.00).

  Next, calculation of the preference difference (Formula 3) will be described.

  Referring to FIG. 7 (FIG. 13), there are two pieces of preference information for the product code “CTG340” (shirt). That is, the customer's favorite products are the product code “CTG340” and the product attribute “color = light blue, pattern = plain color”, the product code “CTG340” and the product attribute “color = white, pattern = striped”. These are two. Hereinafter, these two preference products are referred to as a first preference product and a second preference product.

(I) Product attribute “color”
When the proposed product is a shirt of “light blue plain L” (the top suggested product in FIG. 16) (product code “CMD34000”), the product attribute element of the product attribute “color” of the first preference product is “light blue” Since the number of purchases is “2”, for the product attribute “color”, “product attribute distance between the proposed product and the (first) preference product × the number of purchases of the preference product” (see Formula 4) Is 0.00 × 2 = 0.00. In addition, since the product attribute element of the product attribute “color” of the second preference product is “white” and the number of purchases is “1”, the product attribute “color” is “proposed product and (second)”. “Product attribute distance between favorite products × Number of purchases of favorite products” (see Formula 4) is 0.60 × 1 = 0.60.

  Since the number of purchases of the first preference product is 2 and the number of purchases of the second preference product is 1, the total purchase number of preference products is 3. Eventually, the result of Equation 4 for the product attribute “color” is (0.00 + 0.60) /3=0.20.

(Ii) Product attribute “pattern”
When the proposed product is a shirt of “light blue plain L” (the top suggested product in FIG. 16) (product code “CMD34000”), the product attribute element of the product attribute “pattern” of the first preference product is “plain”. Since the number of purchases is “2”, for the product attribute “pattern”, “product attribute distance between proposed product and (first) preference product × number of purchases of preference product” (see Formula 4) Is 0.00 × 2 = 0.00. Further, since the product attribute element of the product attribute “pattern” of the second preference product is “stripes” and the number of purchases is “1”, the product attribute “pattern” is “proposed product and (second)”. “Product attribute distance between favorite products × Number of purchases of favorite products” (see Formula 4) is 0.90 × 1 = 0.90.

  Since the total number of purchases of the favorite product is 3, the result of Equation 4 for the product attribute “pattern” is (0.00 + 0.90) /3=0.30.

  The customer's desire is “automatic” for the product attribute “color”. Referring to FIG. 18, in the preference difference calculation, the weight when the desired degree is “Random” is “2”. Referring to Expression 3, for the product attribute “color”, “weight by desired degree × average product attribute distance between the proposed product and the favorite product” is 2 × 0.20 = 0.40.

  The customer's desire is “as much as possible” for the product attribute “pattern”. Referring to FIG. 18, in the calculation of the preference difference, the weight when the desired degree is “as much as possible” is “1”. Referring to Expression 3, for the product attribute “pattern”, “weight by desired degree × average product attribute distance between the proposed product and the favorite product” is 1 × 0.30 = 0.30.

  Referring to Equation 3, the difference (preference difference) between the customer's favorite product (preference difference) for the “light blue plain L” shirt (proposed product) is 0.40 + 0.30 = 0.70.

  As described above, “0.00” is calculated as the desired difference and “0.70” is calculated as the preference difference for the “light blue plain L” shirt (proposed product) (product code “CMD34000”). , The suitability of the “light blue plain L” shirt (proposed product) (product code “CMD34000”) is 1 / (0.00 + 0.70) ≈1.429 with reference to Equation 1.

  FIG. 19 shows the calculation results of the desired difference, the preference difference, the total difference, and the fitness calculated for each of the four proposed products shown in FIG.

  The value of the goodness of fit becomes larger as the sum of the degree of difference from the customer's desire (desired difference) and the degree of difference from the customer's preference (preference difference) is smaller (Formula 1). A suggested product with a high degree of fitness is a product that closely matches the customer's wishes and preferences. The smaller the degree of suitability, the more likely the proposed product is to be a product that is far from the customer's wishes and preferences.

  The fitness calculated for each of the proposed products as described above can be used for the following processing.

(1) On the proposed product information screen (FIG. 16), information on the proposed products is displayed in order of decreasing fitness.
Since the degree of conformity is calculated not only by the customer's input, but also by the degree of customer's request (desirability) and the preference that the customer may have potentially, the customer's input Information on proposed products can be displayed in an order based on the new criteria, not the order in which only the desired wishes are considered.

(2) On the proposed product information screen (FIG. 16), only information related to the proposed product having a degree of conformance greater than a predetermined threshold is displayed.
Since information about the proposed product with a low degree of fitness is not displayed, it is possible to prevent the proposed product information screen W3 from becoming difficult to see, particularly when a large number of proposed products are proposed.

  When the IC chip built-in portable terminal 30 has sufficient processing capacity and storage capacity, the customer preference information management system 42 is not installed, and the role of the customer preference information management system 42 described above is used as the IC chip built-in portable terminal 30 itself. May be performed. For example, in the product proposal request process (FIGS. 9 and 10), the product proposal systems 41 and 43 send product proposal information to the customer preference information management system 42 (steps 244 and 264), and customer preference information management is performed. Instead of transmitting the proposed product information screen (FIG. 16) from the system 42 to the IC chip built-in terminal 30 (step 228), the product proposal systems 41 and 43 directly transmit the product proposal information to the IC chip built-in terminal 30. Then, the above-mentioned degree of conformity may be calculated by the IC chip built-in portable terminal 30 to generate and display a suggested product information screen. Of course, in this case, since the product proposal systems 41 and 43 directly transmit the product proposal information to the IC chip mobile terminal 30, the product proposal systems 41 and 43 set the e-mail address of the IC chip mobile terminal 30. Needless to say, the customer preference information management system 42 may send an e-mail address to the product proposal system when sending the product proposal request (step 226).

  In addition, as described above, the preference information (see FIGS. 5 and 7) is not limited to the purchase results of the product by the customer, but the product purchased by the customer connected to the customer preference information management system 42 from the IC chip built-in portable terminal 30. It is also possible to register the evaluation on the customer preference information management system 42 as the preference information. Even if the customer does not reach the stage of purchasing the product, if there is a favorite product, the information may be registered in the customer preference information management system 42 as preference information. In this way, the proposed product extraction process (S242, S262) of the product proposal system 41, 43 in the process at the time of the product proposal request (FIGS. 9 and 10), and the above-described adaptation in the customer preference information management system 42 The degree calculation can be made more in line with customer preferences.

  Further, as preference information, in addition to product-related preference information (preference product information), customer preferences for sellers or sales stores may be handled. The preference criteria may be the frequency of product purchases, evaluations that are directly registered by customers, and the like. As a result, in the processing at the time of the product proposal request (FIGS. 9 and 10), the customer preference information management system 42 can narrow down the partner sellers to which the product proposal request is transmitted (step 226). Further, in the example of the proposed product information screen (FIG. 16), it can be used to determine the display order of the proposed products.

  In the embodiment described above, only the preference information (FIGS. 5 and 7), which is dynamic information based on the product purchase information (FIG. 4), is used as information for determining the customer's preference. The customer's registered static attribute information (for example, age, gender, etc.) may be used together.

  The preference information update (S164) is not performed every time a product is purchased in the processing at the time of product purchase (FIGS. 3 and 8), but the product proposal in the processing at the time of product proposal request (FIGS. 9 and 10). The request information registration (S224) and the product proposal request transmission (S226) may be performed each time a proposal request is made.

  Further, in the above-described embodiment, in the processing at the time of the product proposal request (FIGS. 9 and 10), the customer preference information management system 42 receives the product proposal information from all the product proposal systems that have transmitted the product proposal requests. After that, an e-mail notifying that is sent (step 228). However, an e-mail notifying that may be sent each time the item proposal information is sent from each item proposal system.

  In the processing at the time of the product proposal request (FIGS. 9 and 10), notification of product proposal information from the customer preference information management system 42 to the IC chip built-in mobile terminal 30 is performed by a combination of an email and a product proposal information screen. However, this may be done only by e-mail (text). Other information transmissions may be used instead of email.

It is a block diagram which shows the whole structure of a customer management system. Indicates member registration information. It is a flowchart which shows the process at the time of goods purchase. Indicates product purchase information. Indicates preference information before update. Shows product information. The updated preference information is shown. It is a flowchart which shows the other example of the process at the time of goods purchase. It is a flowchart which shows the process at the time of a merchandise proposal proposal. It is a flowchart which shows the process at the time of a proposal request. The product proposal request screen is shown. Indicates product proposal request information. Indicates a product proposal request. (A) and (B) show product proposal information, respectively. Indicates a product proposal notification email. The product proposal information screen is shown. (A) shows a product attribute distance table related to the product attribute “color”, and (B) shows a product attribute distance table related to the product attribute “pattern”. A weight table is shown. The fitness calculation results are shown. It is a block diagram which shows an example of the conventional customer management system. It is a block diagram which shows an example of the conventional customer management system. It is a block diagram which shows an example of the conventional reverse auction system.

Explanation of symbols

1 Network 12, 22 POS Terminal 30 Mobile Terminal 41, 43 Product Proposal System 42 Customer Preference Information Management System 42a Storage Device 81 Member Registration Information Table 82 Product Purchase Information 83a, 83b Preference Information Table 84 Product Information Table 85 Product Proposal Request Information 86 Product proposal request 87 Product proposal information 88a, 88b Product attribute distance table 89 Weight table

Claims (8)

For each registered user, a registered user information table storing member registration information including a user ID for identifying the registered user,
For each of a plurality of types of products provided by each of a plurality of distributors, a product code that identifies the product, a product code that represents a product to which the product identified by the product code belongs, and a product code that is identified by the product code A product information table storing product information, including product attribute elements for one or more product attributes representing features,
A preference information table storing preference information including the user ID, the product class code, and the product attribute element, which is created in response to at least one of purchase, browsing or evaluation of a product by a registered user;
Receives the above user ID and product code sent from a mobile terminal owned by a registered user or a sales terminal installed in a store of a sales company when the registered user purchases, browses or evaluates the product Customer information receiving means, and the user information and product code received by the customer information receiving means and the product information stored in the product information table to create the preference information and the preference information table Preference information storage control means for storing
Customer preference information management system with In the member registration information table, the e-mail address of the mobile terminal owned by the registered user is stored in association with the user ID,
Narrowing condition receiving means for receiving user ID and commodity narrowing conditions transmitted from the portable terminal;
In the product proposal system owned by the seller, the preference information stored in the preference information table for the registered user specified by the user ID received by the narrowing condition receiving means and the narrowing condition for the product are stored. Product proposal request sending means to send,
Proposed product information receiving means for receiving the proposed product information based on the product refinement condition and preference information transmitted from the product proposal system, and the proposed product information received by the proposed product information receiving means, the email / Proposal information sending means to send to mobile terminal using address,
The customer preference information management system according to claim 1, further comprising: The product narrowing condition includes desired product specification information for specifying the product of the desired product, and desired product attribute element information for specifying a desired attribute element for the product attribute of the desired product specified by the desired product specification information. , And a degree of desire indicating the degree of request for the desired product attribute element information,
For the proposed product in the proposed product information, a first divergence degree representing the degree of divergence between the product attribute element of the proposed product and the product attribute element of the desired product is calculated, and the calculated first divergence Desired difference calculating means for calculating a desired difference representing a degree of difference regarding the product attribute between the proposed product and the desired product by multiplying the first weight according to the desired degree.
The customer preference information management system according to claim 2. The product narrowing condition includes desired product specification information for specifying the product of the desired product, and desired product attribute element information for specifying a desired attribute element for the product attribute of the desired product specified by the desired product specification information. , And a degree of desire indicating the degree of request for the desired product attribute element information,
For the proposed product in the proposed product information, the product attribute element of the proposed product and the product attribute element included in the preference information about the same product as the proposed product among the preference information stored in the preference information table The product between the proposed product and the preference information is calculated by calculating a second degree of divergence representing the degree of divergence between the proposed product and the second weight according to the desired degree. There is a preference difference calculation means for calculating a preference difference representing the degree of difference regarding the attribute.
The customer preference information management system according to claim 2 or 3. A combination of the proposed product, the desired product, and the preference information by calculating the reciprocal of the desired difference calculated by the desired difference calculating unit and the added value of the preference difference calculated by the preference difference calculating unit. A degree-of-fit calculation means for calculating a degree of fit representing the degree of fit between
The customer preference information management system according to claim 4. A product attribute distance table storing the product attribute distances representing the first and second divergence degrees between the product attribute elements for each of a plurality of types of product attribute elements, and corresponding to the desired degree for each desired degree A weight table in which the first weight and the second weight are stored;
The customer preference information management system according to claim 5. Desired product attribute specifying information for specifying a desired attribute for the product attribute representing the characteristics of the desired product specified by the desired product identification information, and the desired product attribute element information for identifying the product to which the desired product belongs, and the above Refining condition receiving means for receiving an input of a product refining condition including a degree of desire indicating the degree of request for desired commodity attribute element information,
Preference information including a product code representing a product to which the product belongs and a product attribute element representing a feature of the product is stored in response to at least one of purchase, browsing or evaluation of the product. Preference information table,
For the proposed product, a first divergence degree representing the degree of divergence between the product attribute element of the proposed product and the product attribute element of the desired product is calculated, and the above desired degree is set to the calculated first divergence degree. Therefore, a desired difference calculating means for calculating a desired difference representing the degree of difference regarding the product attribute between the proposed product and the desired product by multiplying the first weight.
For the proposed product, the discrepancy between the product attribute element of the proposed product and the product attribute element included in the preference information for the same product as the proposed product among the preference information stored in the preference information table The difference regarding the product attribute between the proposed product and the preference information is calculated by calculating the second divergence degree representing the degree of the product and multiplying the calculated second divergence degree by the second weight according to the desired degree. Calculating a reciprocal of a preference difference calculated by the preference difference calculating means and an addition value of the preference difference calculated by the preference difference calculating means, A degree-of-fit calculation means for calculating a degree of match representing the degree of match between the proposed product and the combination of the desired product and the preference information;
A fitness calculation system. Computer system,
Desired product attribute specifying information for specifying a desired attribute for the product attribute representing the characteristics of the desired product specified by the desired product identification information, and the desired product attribute element information for identifying the product to which the desired product belongs, and the above Refining condition receiving means for receiving an input of a product refining condition including a degree of desire indicating the degree of request for desired commodity attribute element information,
Preference information including a product code representing a product to which the product belongs and a product attribute element representing a feature of the product is stored in response to at least one of purchase, browsing or evaluation of the product. Preference information table,
For the proposed product, a first divergence degree representing the degree of divergence between the product attribute element of the proposed product and the product attribute element of the desired product is calculated, and the above desired degree is set to the calculated first divergence degree. Therefore, a desired difference calculating means for calculating a desired difference representing the degree of difference regarding the product attribute between the proposed product and the desired product by multiplying the first weight.
For the proposed product, the discrepancy between the product attribute element of the proposed product and the product attribute element included in the preference information for the same product as the proposed product among the preference information stored in the preference information table The difference in the product attribute between the proposed product and the preference information is calculated by calculating a second degree of divergence representing the degree of the product and multiplying the calculated second divergence by a second weight according to the desired degree. Calculating a reciprocal of a preference difference calculated by the preference difference calculating means and an addition value of the preference difference calculated by the preference difference calculating means, A degree-of-fit calculation means for calculating a degree of match representing the degree of match between the proposed product and the combination of the desired product and the preferred product;
Program to function as.

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