WO2016125242A1

WO2016125242A1 - Information processing device, information processing method, and information processing program

Info

Publication number: WO2016125242A1
Application number: PCT/JP2015/052906
Authority: WO
Inventors: 以芳王
Original assignee: 楽天株式会社
Priority date: 2015-02-03
Filing date: 2015-02-03
Publication date: 2016-08-11
Also published as: JP6442535B2; JPWO2016125242A1

Abstract

An information processing device obtains an access history to a predetermined electronic mall, classification identification information for identifying classification of a product or classification of a store that sells the product, and member identification information for payment means. When the access history satisfies a first condition and a second condition, the information processing device estimates that an accessor has purchased a product at a store out of the predetermined electronic mall. The first condition is that the purchase history is not stored which includes purchaser identification information that indicates the same purchaser as the accessor indicated by accessor identification information, a purchase date and time behind an access date and time, and purchased product identification information for identifying a purchased product, the sameness of which with respect to the product indicated by access product identification information is equal to or higher than a reference. The second condition is that a use history is stored which includes use member identification information that coincides with member identification information, a use date and time behind the access date and time, and at least one of use store identification information associated with sale product classification identification information that coincides with the classification identification information and use store classification identification information that coincides with the classification identification information.

Description

Information processing apparatus, information processing method, and information processing program

The present invention relates to a technical field such as an apparatus and method for analyzing a user's behavior history related to shopping.

2. Description of the Related Art Conventionally, a method of analyzing a user's behavior history on an electronic commerce site such as an online shopping street, a usage history of a payment means such as a credit card, and the like is known. For example, Patent Document 1 discloses a method for performing customer segmentation using both purchase data and data only for browsing content that does not involve purchase. In Patent Document 2, member information from a credit company and sales information from a sales company are stored in association with a credit card member number, and member information and sales information are searched under a predetermined search condition. A method of extracting a membership number and promoting sales based on the membership number is disclosed.

JP 2002-92284 A JP 2003-132270 A

However, in the above-described conventional technology, an analysis focusing on whether or not a product is purchased in a store of a seller who uses the analysis result or an electronic commerce site where the seller opens a store is performed. The reason why the user of the commerce site did not purchase the product was not analyzed. The user may have purchased the same or similar product at another location. Such information is considered to contribute to appropriate marketing.

The present invention has been made in view of the above points, and analyzes the reason why a user of an online shopping mall did not purchase a product in the electronic shopping mall so that more appropriate marketing can be performed. An object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program.

In order to solve the above problems, the present invention provides an access history that is a history of access to a product web page in a predetermined online shopping mall, a purchase history that is a history of product purchase in the online shopping mall, and the access It is estimated that the accessor has purchased the product at a store other than the online shopping mall, using a usage history that is a usage history of a payment means used for payment in the online shopping mall.

Here, the access history includes accessor identification information for identifying an accessor to the webpage, access date and time to the webpage, and access product information regarding a product (accessed product) on the webpage.

The purchase history includes purchase product information related to a purchase product in the online shopping mall, purchaser identification information for identifying a purchaser of the purchase product, and purchase date and time of the purchase product.

The use history includes use member identification information for identifying a member of the payment means using the payment means, use date and time of the payment means, and use store information regarding a store where the payment means is used.

Further, the present invention further uses member identification information for identifying the accessor as a member of the settlement means used by the accessor for settlement in the online shopping mall, and provides access between the accessor in the access history and the settlement means in the use history. Associate with the user.

The present invention presumes that the accessor has purchased the product at a store other than the online shopping mall when the following first condition and second condition are satisfied.

The first condition is that purchaser identification information indicating the same purchaser as the accessor indicated by the accessor identification information, purchase date and time later than the access date and time, and access product indicated by the access product information are identical. That is, there is no purchase history including purchased product information indicating a purchased product that is equal to or higher than the standard.

The second condition is that the use member identification information that matches the member identification information, the use date and time that is later than the access date and time, and the use that indicates the use store whose affinity for the access product indicated by the access product information is equal to or higher than the standard The usage history including store information exists.

According to the present invention, by determining the first condition using the access history and the purchase history, the accessor has not purchased the access product in the online shopping mall after accessing the access product. Can be identified. In addition, in the second condition, the access history is associated with the access history using the accessor's member identification information, and the accessor can access the access product by determining the affinity between the access product and the store. After the access, it can be estimated that the access product is settled by using the settlement means in a certain user shop. That is, it can be estimated that the accessor has purchased the access product at a store other than the online shopping mall after accessing the access product. Therefore, more appropriate marketing can be performed using this estimation result.

Note that the affinity in the second condition means the probability that the access product is sold at the user store. For example, if the access product is a baseball bat and the user shop sells sporting goods, the affinity is high, and if the access product is a refrigerator and the user shop sells stationery, the affinity is low.

In the first condition, for identifying the identity of the access product and the purchased product, information for identifying the product category or the store category where the product is sold may be used. Further, in the second condition, the information for identifying the access product category or the user store category may be used to determine the affinity between the access product and the user store. At this time, information for associating information for identifying individual products or individual stores with information for identifying categories of products or stores may be further used.

According to the first aspect of the present invention, accessor identification information for identifying a person who accesses a product web page in a predetermined online shopping mall, access date and time for accessing the web page, and access product identification information for identifying the product Including the access history, the category identification information for identifying either the category of the product or the category of the store that sells the product, and the accessor as a member of the settlement means used by the accessor for settlement in the online shopping mall And when the access history acquired by the acquiring unit satisfies the first condition and the second condition, the accessor is in a store other than the online shopping mall. An information processing apparatus that estimates that a product has been purchased, wherein the first condition is a purchase merchant that identifies a purchased product in the online shopping mall. An accessor indicated by the accessor identification information in purchase history storage means for storing a plurality of purchase histories including identification information, purchaser identification information for identifying a purchaser of the purchased product, and purchase date and time of the purchased product; Purchaser identification information indicating the same purchaser, purchase date and time later than the access date and time, and purchased product identification information for identifying a purchased product whose identity with the product indicated by the access product identification information is greater than or equal to a reference The purchase condition is not stored, and the second condition is use member identification information for identifying a member of the settlement means using the settlement means, use date and time of the settlement means, and the settlement means The used store identification information for identifying the store where the used store is used, the used store identification information associated with the sales product category identifying information for identifying the category of the product sold by the used store, and the usage In the use history storage means for storing a plurality of use histories including at least one of the use store category identification information for identifying the store category, the use member identification information matching the member identification information, and the access date and time Usage history including the latest use date and time, at least one of the user store identification information associated with the sales product category identification information that matches the category identification information and the user store category identification information that matches the category identification information Is stored.

According to this invention, the information processing apparatus analyzes the access history of a predetermined online shopping mall, the purchase history of the electronic shopping mall, and the usage history of the settlement means. As a result, the information processing apparatus has an access history to the web page of a certain product in the predetermined online shopping mall, but thereafter there is no purchase history of the product in the electronic shopping mall, It is possible to specify a usage history indicating that a product has been purchased at any store. Thereby, the reason why the accessor did not purchase the product for which the accessor accessed the web page in the online shopping mall was because the accessor purchased the product in a store other than the online shopping mall. Can be estimated. Therefore, more appropriate marketing can be performed using this analysis result.

According to a second aspect of the present invention, in the information processing apparatus according to the first aspect, the acquisition unit acquires product category identification information for identifying the category of the product as the category identification information, and the second condition is Use history storage means for storing a plurality of use histories including at least the use store classification identification information among the use store identification information and the use store classification identification information, and use member identification information that matches the member identification information; A use history including a use date and time later than the access date and a use store category identification information that matches the product category identification information is stored.

The invention according to claim 3 is the information processing apparatus according to

claim

1 or 2,
The second condition is that the usage history storage means for storing a plurality of usage histories further including the usage amount of the settlement means, the usage member identification information that matches the membership identification information, and the usage that is later than the access date and time. The access product identification information includes at least one of the date and time, the user store identification information associated with the sales product category identification information that matches the category identification information, and the user store category identification information that matches the category identification information. It is characterized in that a usage history including a price of the indicated product and a usage amount having a predetermined relationship is stored.

According to the present invention, the information processing apparatus can specify the usage history indicating that the settlement means has been used for the settlement of an amount having a predetermined relationship with the price of the product for which the web page is accessed. Therefore, estimation accuracy can be increased.

According to a fourth aspect of the present invention, in the information processing apparatus according to any one of the first to third aspects, an accessor identification that identifies a certain accessor from an access history storage unit that stores a plurality of access histories. Second acquisition means for acquiring a plurality of access histories including information and access product identification information for identifying a product whose identity with a product is equal to or greater than a reference, and the access history acquired by the second acquisition means The acquisition means further includes a specifying means for specifying a transition of the number of accesses, wherein the acquisition means determines that the transition specified by the specifying means has an access count after a certain point in time before the certain point in time. The access history acquired by the second acquisition means is an access date and time prior to the certain point in time, and And obtaining the access history including the nearest access date and time Kiaruru time.

According to the present invention, when there is a plurality of access histories indicating access to a web page of a product whose identity by the same access person is equal to or higher than a reference, the information processing apparatus immediately before the point when the number of accesses rapidly decreases. Estimation is performed based on the access history including the access date and time. Before purchasing a product, users are likely to frequently access web pages of products whose identity is above the standard, but after purchasing a product, users often visit such web pages. There is a high probability of not accessing. Therefore, it is possible to reduce the processing load of the information processing apparatus while improving the estimation accuracy.

According to a fifth aspect of the present invention, in the information processing apparatus according to any one of the first to fourth aspects, any product sold in the online shopping mall is converted to any user in the electronic shopping mall. A recommendation means for providing recommendation information to be recommended to a user who is presumed to have purchased the product presumed to have been purchased by the estimation means at a store other than the online shopping mall. The information processing apparatus further includes providing means that does not provide information.

According to this invention, the information processing apparatus does not provide information for recommending to the user a product that the user presumes purchased at a store other than the online shopping mall. Therefore, it is possible to eliminate the annoyance that the user receives information recommending a product that has already been purchased.

According to a sixth aspect of the present invention, in the information processing apparatus according to the fifth aspect, the providing means is characterized in that a product estimated to have been purchased at a store other than the online shopping mall is repeatedly purchased by the same person. The recommendation information is not provided for a predetermined period from the use date and time included in the use history that satisfies the second condition.

According to the present invention, when the product that the user presumed purchased at a store other than the online shopping mall is a product that is repeatedly purchased by the same person, the information recommending the product after a predetermined period of time has passed. Can be provided. Therefore, when a user approaches the time for re-purchasing a product, information for recommending the product can be provided.

According to a seventh aspect of the present invention, in the information processing apparatus according to any one of the first to sixth aspects, the acquisition unit is an access store identification that identifies a store that sells products for which the web page has been accessed. The access history further including information is acquired, and when the estimation unit estimates that the product has been purchased at a store other than the electronic mall, the product has been purchased at a store other than the electronic mall. The apparatus further comprises output means for outputting information notifying the store indicated by the access store identification information included in the access history acquired by the acquisition means.

According to the present invention, a store that sells a product presumed to have been purchased at a store other than the online shopping mall is notified that the product has been purchased at a store other than the electronic shopping street. Therefore, the store that received the notification can take some means for promoting the sale of the product.

The invention according to claim 8 is an information processing method executed by a computer, accesser identification information for identifying an accessor to a product webpage in a predetermined online shopping mall, and access date and time to the webpage And an access history including access product identification information for identifying the product, category identification information for identifying either the category of the product and the category of the store that sells the product, and the accessor in the online shopping mall The acquisition step of acquiring the member identification information for identifying the accessor as a member of the payment means used for the payment of the access, and when the access history acquired by the acquisition step satisfies the first condition and the second condition, Estimating that the accessor has purchased the product at a store other than the online shopping mall, and the first condition includes the power supply In purchase history storage means for storing a plurality of purchase histories including purchase product identification information for identifying purchase products in a shopping street, purchaser identification information for identifying purchasers of the purchase products, and purchase date and time of the purchase products, Purchase with identification of purchaser identification information indicating the same purchaser as the accessor indicated by the accessor identification information, purchase date later than the access date and time, and the identity of the product indicated by the access product identification information being equal to or higher than a standard Purchase history including purchase product identification information for identifying a product is not stored, and the second condition is the use member identification information for identifying a member of the settlement means using the settlement means, Sales product identifying date and time of use of the payment means and use store identification information for identifying a store where the payment means is used, and identifying a category of products sold by the store where the payment means is used Use history storage means for storing a plurality of use histories including at least one of use store identification information associated with the minute identification information and use store category identification information for identifying a store category used by the payment means. Use member identification information that matches the member identification information, use date and time later than the access date and time, use store identification information associated with the sales merchandise category identification information that matches the category identification information, and the category identification information And a use history including at least any one of the use store category identification information that coincides with is stored.

According to the ninth aspect of the present invention, the computer is used to identify accessor identification information for identifying a person who accesses a webpage of a product in a predetermined online shopping mall, an access date and time for accessing the webpage, and an access product for identifying the product. As an access history including identification information, classification identification information for identifying any of the classification of the product and the classification of the store that sells the product, and a member of the settlement means used by the accessor for settlement in the online shopping mall When the access history acquired by the acquisition means for acquiring the member identification information for identifying the accessor and the access history acquired by the acquisition means satisfy the first condition and the second condition, the accessor is other than the online shopping mall. A program that functions as an estimation unit that estimates that the product has been purchased at a store, wherein the first condition is a purchase in the online shopping mall. The accessor identification in the purchase history storage means for storing a plurality of purchase histories including purchase product identification information for identifying a product, purchaser identification information for identifying a purchaser of the purchased product, and purchase date and time of the purchased product The purchaser identification information indicating the same purchaser as the accessor indicated by the information, the purchase date and time later than the access date and time, and the purchase product whose identity with the product indicated by the access product identification information is equal to or higher than a reference is identified. The purchase history including the purchased product identification information is not stored, and the second condition is the use member identification information for identifying the member of the payment means using the payment means, and the use of the payment means. Corresponds to date and time and sales merchandise item identification information for identifying a store used by the settlement means, which identifies a category of products sold by the store using the settlement means The member identification information is stored in a use history storage means for storing a plurality of use histories including at least one of the used shop identification information and the used shop category identification information for identifying the category of the store where the payment means is used. Use member identification information that matches, use date and time later than the access date and time, use store identification information associated with the sales product category identification information that matches the category identification information, and a store that matches the category identification information A usage history including at least one of the category identification information is stored.

According to the present invention, the information processing apparatus analyzes the access history of a predetermined online shopping mall, the purchase history of the electronic shopping mall, and the usage history of the settlement means. As a result, the information processing apparatus has an access history to the web page of a certain product in the predetermined online shopping mall, but thereafter there is no purchase history of the product in the electronic shopping mall, It is possible to specify a usage history indicating that a product has been purchased at any store. Thereby, the reason why the accessor did not purchase the product for which the accessor accessed the web page in the online shopping mall was because the accessor purchased the product in a store other than the online shopping mall. Can be estimated. Therefore, more appropriate marketing can be performed using this analysis result.

It is a figure showing an example of outline composition of information processing system S concerning one embodiment. It is a block diagram which shows an example of schematic structure of the credit card server 2 which concerns on one Embodiment. It is a figure which shows an example of the content registered into the database constructed | assembled in the memory | storage part 22 of the credit card server 2. FIG. It is a block diagram which shows an example of schematic structure of the online shopping mall server 1 which concerns on one Embodiment. It is a figure which shows an example of the functional block of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a figure which shows an example of the content registered into the database constructed | assembled in the memory | storage part 12 of the online shopping mall server 1. FIG. It is a figure which shows an example of the process in which it is estimated that the user of a specific electronic shopping mall purchased goods in stores other than a specific electronic shopping mall. It is a graph which shows transition of the access number per day with respect to the goods page of a certain goods by a certain user. It is a flowchart which shows an example of the other store purchase estimation process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the access number analysis process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the purchase history determination process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the card utilization log | history determination process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the recommendation exclusion registration process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the web page transmission process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment. It is a flowchart which shows an example of the recommended goods determination process of the system control part 14 of the online shopping mall server 1 which concerns on one Embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In addition, embodiment described below is embodiment at the time of using a credit card as a payment means of this invention. However, the present invention may be applied to a settlement means different from a credit card, as will be described later.

[1. Overview of information processing system configuration and functions]
First, the configuration and functional overview of the information processing system S according to the present embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a schematic configuration of an information processing system S according to the present embodiment.

As shown in FIG. 1, the information processing system S is configured to include an online shopping mall server 1, a credit card server 2, a plurality of store terminals 3, and a plurality of user terminals 4. The online shopping mall server 1 and the credit card server 2 can exchange data with each other via the network NW, for example, using TCP / IP as a communication protocol. The online shopping mall server 1, each store terminal 3, and each user terminal 4 can transmit and receive data via the network NW. The network NW is constructed by, for example, the Internet, a dedicated communication line (for example, a CATV (CommunityCommunAntenna Television) line), a mobile communication network (including a base station, etc.), a gateway, and the like.

The online shopping mall server 1 is a server device that executes various processes related to a predetermined online shopping mall where products can be purchased. The online shopping mall server 1 is an example of an information processing apparatus according to the present invention. In the online shopping mall, a plurality of stores sell products. The user can purchase a desired product from a desired store in the online shopping mall. The online shopping mall managed by the online shopping mall server 1 is referred to as a specific electronic shopping mall. In response to a request from the store terminal 3 or the user terminal 4, the online shopping mall server 1 transmits, for example, a web page of a specific online shopping mall, or performs processing related to product search, ordering, and the like.

The credit card server 2 is a server device that manages information related to credit card usage. The credit card server 2 may be installed by a credit company, for example. A plurality of credit card servers 2 may be installed. For example, the credit card server 2 may be installed for each credit company. The credit card server 2 transmits information on the credit card usage history to the online shopping mall server 1.

The store terminal 3 is a terminal device used by employees of a store opening a store in a specific electronic shopping mall. The store terminal 3 accesses a server device such as the online shopping mall server 1 based on an operation from an employee or the like. Thereby, store terminal 3 receives and displays a web page from a server device. Software such as a browser and an e-mail client is incorporated in the store terminal 3. By using the store terminal 3, the employee registers, for example, information on products to be sold in a specific electronic shopping mall and confirms the order contents of the products. As the store terminal 3, for example, a personal computer, a PDA (Personal Digital Assistant), a mobile information terminal such as a smartphone, a mobile phone, or the like is used.

The user terminal 4 is a terminal device of a user who purchases a product from a specific electronic shopping mall. The user terminal 4 receives the web page from the online shopping mall server 1 and displays it by accessing the online shopping mall server 1 based on an operation from the user. Software such as a browser and an e-mail client is incorporated in the user terminal 4. By using the user terminal 4, for example, the user accesses a web page of a specific electronic shopping mall, searches for a product, or orders a desired product. As the user terminal 4, for example, a personal computer, a PDA (Personal Digital Assistant), a mobile information terminal such as a smartphone, a mobile phone, or the like is used.

[2. Configuration of credit card server]
Next, the configuration of the credit card server 2 will be described with reference to FIGS. 2A and 2B. FIG. 2A is a block diagram illustrating an example of a schematic configuration of the credit card server 2 according to the present embodiment. As illustrated in FIG. 2A, the credit card server 2 includes a communication unit 21, a storage unit 22, an input / output interface 23, and a system control unit 24. The system control unit 24 and the input / output interface 23 are connected via a system bus 25.

The communication unit 21 is connected to the network NW and controls the communication state with the online shopping mall server 1 and the like.

The storage unit 22 is configured by a hard disk drive, for example. The storage unit 22 stores various programs and data. In the storage unit 22, databases such as a member store DB 22a and a card use history DB 22b are constructed. “DB” is an abbreviation for database.

FIG. 2B is a diagram showing an example of contents registered in the database constructed in the storage unit 22 of the credit card server 2. In the member store DB 22a, information on member stores of the payment service by credit card is registered for each member store. Credit card member stores may include, for example, stores that open in specific electronic shopping malls and stores that do not open in specific electronic shopping areas. In the member store DB 22a, screen store attributes such as a member store ID, a member store category code, a member store name, an address, a telephone number, and an e-mail address are registered in association with each other. The member store ID is identification information for identifying the member store. The member store category code is identification information for identifying the category to which the member store belongs. For example, the category to which the member store belongs may be determined according to the products / services handled by the member store, the type of business, the business format, and the like. A specific example is a merchant category code (MCC).

The credit card usage history is registered in the card usage history DB 22b. The card usage history may be registered every time a purchase price of a product is settled using, for example, a credit card. Specifically, the card usage history DB 22b is registered as a card usage history in association with a card number, card usage date / time, card usage member store ID, card usage amount, and the like. The card number is the number of the credit card used. The card use date is the date when the credit card was used. The card use member store ID is the store ID of the member store where the credit card is used. The card use member store ID is an example of use store identification information in the present invention. Further, the card use member store ID is an example of use store information related to the store where the settlement means is used. The card usage amount is the amount settled with a credit card.

The input / output interface 23 performs interface processing between the communication unit 21, the storage unit 22, and the system control unit 24.

The system control unit 24 includes a CPU (Central Processing Unit) 24a, a ROM (Read Only Memory) 24b, a RAM (Random Access Memory) 24c, and the like. In the system control unit 24, the CPU 24a reads out and executes each program stored in the storage unit 22, thereby executing various processes.

For example, the system control unit 24 executes a card usage history transmission process. For example, a card usage history transmission process may be executed in response to a request from the online shopping mall server 1. Further, for example, the card use history transmission process may be executed at a predetermined cycle. This period may be, for example, a predetermined time, one day, one week, or the like. In the card usage history transmission process, for example, the system control unit 24 acquires, from the card usage history DB 22b, a card usage history whose card usage date and time is later than the previous execution date and time of the card usage history transmission process. The system control unit 24 acquires a member store category code corresponding to the card use member store ID included in the acquired card use history from the member store DB 22a. The system control unit 24 adds the acquired member store category code as a card use member store category code to the card use history. Then, the system control unit 24 transmits the card use history to the online shopping mall server 1.

[3. Configuration of electronic shopping mall server]
Next, the configuration of the online shopping mall server 1 will be described with reference to FIGS. 3A and 4. FIG. 3A is a block diagram illustrating an example of a schematic configuration of the online shopping mall server 1 according to the present embodiment. As illustrated in FIG. 3A, the online shopping mall server 1 includes a communication unit 11, a storage unit 12, an input / output interface 13, and a system control unit 14. The system control unit 14 and the input / output interface 13 are connected via a system bus 15.

The communication unit 11 is connected to the network NW and controls the communication state with the credit card server 2, the store terminal 3, the user terminal 4, and the like.

The storage unit 12 is composed of, for example, a hard disk drive. The storage unit 12 is an example of each of a purchase history storage unit, a usage history storage unit, and an access history storage unit in the present invention. In the storage unit 12, databases such as a member DB 12a, a product DB 12b, a store DB 12c, a store product DB 12d, an access history DB 12e, a purchase history DB 12f, an analysis card history DB 12g, and a recommendation excluded product DB 12h are constructed. Details of each database will be described below. The database items may be appropriately normalized or made redundant according to various requirements such as performance and operability of the online shopping mall server 1.

FIG. 4 is a diagram illustrating an example of contents registered in the database constructed in the storage unit 12 of the online shopping mall server 1. In the member DB 12a, member information related to users who are registered as members in the specific online shopping mall is registered for each user. Specifically, the member DB 12a is associated with user attributes such as a member ID, password, nickname, name, date of birth, gender, postal code, address, telephone number, e-mail address, card number, and the like. Registered as information. The member ID is identification information for identifying a member. The card number registered in the member DB 12a is a credit card number registered by the user in the specific electronic shopping mall. With the credit card registered in the specific electronic shopping street, the user can settle the purchase price of the product in the specific electronic shopping street. The card number registered in the member DB 12a is an example of member identification information in the present invention.

In the product DB 12b, product information related to products is registered for each product. Specifically, product attributes such as a product code, a product category code, a product name, a repeat flag, a repeat cycle, and a similar product list are registered in the product DB 12b as product information. The product code is code information for identifying a product. As the product code, for example, an EAN (European Article Number Code) code, a JAN (Japanese Article Number Code) code, a UPC (Universal Product Code) code, or the like may be registered. The product code is an example of each of the product category identification information and the category identification information of the present invention. The product category code is identification information for identifying the category to which the product belongs. For example, the product category code assigning system and the member store category code assigning system may be the same or different. If the product category code assignment system and merchant category code assignment system are the same, for example, only the product category code that matches the member store category code that indicates the category of the member store that can identify the product category is defined. May be. Examples of the category of the member store for which the category of the product cannot be specified include a convenience store, a discount store, a supermarket, a department store, and the like. The product category code is an example of each of the product category identification information and the category identification information of the present invention. The repeat flag indicates whether or not the product has a property of being repeatedly purchased by the same user. A product having the property of being repeatedly purchased is called a repeat product. The repeat product may be, for example, a food product, a consumable product, or a daily necessities. When the repeat flag is TRUE, it indicates that the product is a repeat product, and when the repeat flag is FALSE, it indicates that the product is not a repeat product. The repeat cycle indicates a cycle in which the product is purchased when the product is a repeat product. The similar product list is a list of other products similar to the product. This product is called a similar product. For example, a product code of a similar product is registered in the similar product list.

Store information related to stores in the specific electronic shopping mall is registered in the store DB 12c for each store. Specifically, store attributes such as store ID, store name, postal code, address, telephone number, and mail address are associated with the store DB 12c and registered as store information. The store ID is identification information for identifying the store. The store ID assignment system for the specific online shopping mall and the credit card member store ID assignment system may be the same or different.

Store product information related to products sold by stores in the specific electronic shopping mall is registered for each product in the store product DB 12d. Specifically, in the store product DB 12d, product attributes such as product ID, store ID, product code, price effective start date, price effective end date, price, and advertising content are associated and registered as store product information. The The product ID is identification information given by the store to identify the product to be sold. The store ID is identification information that identifies a store that sells a product. The product code is code information for identifying a product sold by the store. The price valid start date and the price valid end date indicate a period during which the price registered in the store product information is valid. A plurality of combinations of price effective start date, price effective end date, and price may be registered. That is, even if a product has the same product code, the price may differ depending on the store. In this embodiment, it is possible to register a plurality of store product information with the same product code and different store IDs. ing. A product with a certain product code sold at a certain store can be identified by a product ID. Note that the price effective start date and the price effective end date may not be provided in the store product DB 12d. In this case, for example, only the latest price is registered in the store product information. The advertisement content is data for displaying an advertisement for a product. For example, the advertising content may be image data, moving image data, text data, RIA (Rich Internet Application), or the like. Further, the advertising content may include a plurality of types of data.

In the access history DB 12e, the access history for the product page in the specific electronic shopping mall is registered for each access. The product page is a web page on which detailed information regarding the product sold by the store is displayed. For example, the product name, product ID, product image, price, product description, etc. are displayed. The product page also includes a button for putting the product into the shopping cart. By selecting this button, the user can put the product into the shopping cart and then perform a purchase procedure for the product in the shopping cart.

In the access history DB 12e, specifically, an access member ID, access date / time, access store ID, access product ID, and the like are associated and registered as an access history. The access member ID is a member ID indicating a user who has accessed the product page, that is, a user who has viewed the product page. A user who accesses the product page is called an access member. The access member ID is an example of accessor identification information of the present invention. The access date and time is the date and time when the product page is accessed. The access store ID is a store ID of a store that sells products corresponding to the accessed product page. A store corresponding to the accessed product page is called an access store. The access store ID is an example of access store identification information in the present invention. The access product ID is a product ID of a product corresponding to the accessed product page. The access product ID is an example of access product information related to the access product. In the specific online shopping mall, the product page and the product ID correspond one-to-one. A product corresponding to the accessed product page is referred to as an access product. The access product ID is an example of access product identification information of the present invention. A product code may be registered in the access history DB 12e instead of the access product ID. In this case, the accessed product page can be specified by a combination of the product code and the store ID. In this case, the product code is an example of access product identification information of the present invention.

When the system control unit 14 receives the request for the product page from the user terminal 4, the system control unit 14 transmits the product page corresponding to the URL included in the request to the user terminal 4. At this time, the system control unit 14 acquires the access product ID and the access store ID based on the URL included in the request. Further, the system control unit 14 acquires the access member ID based on, for example, session information or a cookie transmitted from the user terminal 4 together with the request. In addition, the system control unit 14 acquires the current date and time as the access date and time. Then, the system control unit 14 registers an access history including the access member ID, access date / time, access store ID, access product ID, and the like in the access history DB 12e.

In the purchase history DB 12f, the purchase history of products in the specific electronic shopping mall is registered for each purchase. Specifically, the purchase history DB 12f is registered as a purchase history in association with a purchase member ID, purchase date and time, purchase store ID, purchase product ID, purchase price, and the like. The purchased member ID is the member ID of the user who purchased the product. The purchase member ID is an example of purchaser identification information of the present invention. The purchase date and time is the date and time when the product is purchased. Purchase store ID is store ID of the store which sells the purchased goods. The purchased product ID is the product ID of the purchased product. The purchased product ID is an example of purchased product identification information of the present invention. The purchased product ID is an example of purchased product information regarding the purchased product. A product code may be registered in the access history DB 12e instead of the access product ID. In this case, the product code is an example of the purchased product identification information of the present invention.

The card use history transmitted from the credit card server 2 is registered in the analysis card history DB 12g. That is, in the analysis card history DB 12g, a card number, a card use date and time, a card use member store category code, a card use member store ID, a card use amount, etc. are associated and stored as card use history information. The card number, card use date, card use member store category code, and card use amount registered in the analysis card history DB 12g are the use member identification information, use date, use store category identification information, and use amount in the present invention, respectively. It is an example. Further, the card use member store ID and the card use member store category code are an example of use store information relating to a store where the settlement means is used. The card use member store category code is a member store category code of the member store DB 22a corresponding to the card use member store ID of the card use history DB 22b.

In the recommendation excluded product DB 12h, recommendation excluded product information related to products excluded from products recommended for the user is registered for each combination of the target user and the target product. Recommending a product to the user may be, for example, displaying an advertisement for the product in a web page, or sending an email recommending the purchase of the product to the user. . Specifically, the member ID, the product code, the exclusion start date, the exclusion end date, and the like are associated with the recommendation excluded product DB 12h and registered as recommendation excluded product information. The member ID indicates a user whose product is not recommended. The product code indicates a product not recommended by the user. The exclusion start date and the exclusion end date indicate a period in which the product is not recommended for the user. The exclusion start date may not be registered.

Next, other information stored in the storage unit 12 will be described. The storage unit 12 stores various data for displaying a web page, for example, an HTML (HyperText Markup Language) document, an XML (Extensible Markup Language) document, image data, text data, an electronic document, and the like. The storage unit 12 stores various setting values.

The storage unit 12 stores various programs such as an operating system, a WWW (World Wide Web) server program, a DBMS (Database Management System), and an electronic commerce control program. The electronic commerce control program is a program for performing processing related to electronic commerce in an electronic shopping mall. The electronic commerce control program is an example of an information processing program of the present invention. The various programs may be acquired from, for example, another server device or the like via the network NW, or may be recorded on a recording medium such as a magnetic tape, an optical disk, or a memory card and read via the drive device. You may be made to do. The electronic commerce control program or the like may be a program product.

The input / output interface 13 performs interface processing between the communication unit 11 and the storage unit 12 and the system control unit 14.

The system control unit 14 includes a CPU 14a, a ROM 14b, a RAM 14c, and the like. The CPU 14a is an example of a processor. The present invention can also be applied to various processors different from the CPU. Each of the storage unit 12, the ROM 14b, and the RAM 14c is an example of a memory. The present invention can also be applied to various memories different from the hard disk, ROM, and RAM.

Note that the online shopping mall server 1 may be composed of a plurality of server devices. For example, a server device that performs processing such as ordering products in a specific electronic shopping mall, a server device that transmits a web page in response to a request from the store terminal 3 or the user terminal 4, a server device that transmits an e-mail, and a user specified A server device that estimates whether or not a product has been purchased at a store other than the online shopping mall, a server device that manages a database, and the like may be connected to each other via a LAN or the like. Therefore, the information processing apparatus according to the present invention may be implemented in one server apparatus or may be implemented by a process in which a plurality of server apparatuses are linked.

[4. Overview of system control functions]
Next, using FIG. 3B, FIG. 5 and FIG. 6, the part mainly related to the information processing apparatus of this invention among the functions of the system control part 14 is demonstrated. FIG. 3B is a diagram illustrating an example of functional blocks of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. The system control unit 14 functions as an estimation unit 141, a recommendation unit 142, a notification unit 143, and the like as illustrated in FIG. 3B when the CPU 14a reads and executes a program such as an electronic commerce control program. The estimation unit 141 is an example of an acquisition unit, an estimation unit, and a specification unit in the present invention. The recommendation unit 142 is an example of providing means in the present invention. The notification unit 143 is an example of output means in the present invention.

The estimation unit 141 analyzes the access history, purchase history, card usage history, and the like. Then, the estimation unit 141 estimates whether or not the user has purchased a product corresponding to the product page at a store other than the specific electronic shopping mall, although the user has accessed the product page of the specific electronic shopping mall based on this analysis. To do. The fact that the user has purchased the product at a store other than the specific electronic shopping mall may have an important meaning in marketing. For example, even if a user purchases a product purchased at a store other than the specific electronic shopping mall from the specific electronic shopping mall, the user is unlikely to purchase the product at the specific electronic shopping mall. Therefore, in the online shopping mall server 1, the efficiency of processing for recommending a product is lowered. In addition, it may be troublesome for the user to provide information on a product that is unlikely to be purchased by the user. Stores other than the specific electronic shopping mall may include, for example, stores in the real world and stores in a virtual space. The store on the virtual space may include, for example, an electronic commerce site. The electronic commerce site may include an electronic shopping mall different from the specific electronic shopping mall, for example.

FIG. 5 is a diagram illustrating an example of a process in which it is estimated that a user of a specific electronic shopping mall has purchased a product at a store other than the specific electronic shopping mall. First, the estimation unit 141 acquires an access history from the access history DB 12e. For example, the estimation unit 141 may acquire an access history whose access date and time is within a predetermined setting period. The first day of the set period may be, for example, a predetermined number of days before, a week before, a month before, or the like. The last day of the set period may be, for example, today or may be a past day. For example, the estimation unit 141 may perform estimation for each access history.

The estimation unit 141 determines whether the acquired access history satisfies two conditions. As two conditions, there are a purchase history condition and a card use history condition. The purchase history condition is that the access member who has accessed the product page does not purchase a product whose identity with the access product corresponding to the product page is equal to or higher than a predetermined standard in the specific online shopping mall. The product whose identity is equal to or higher than a predetermined standard may be the same product as the access product, for example. The same product as the access product is a product provided with the same product code as the product code of the access product. Alternatively, the product whose identity is equal to or greater than a predetermined reference may be, for example, the same product as the access product or a product similar to the access product. Alternatively, a product whose identity is greater than or equal to a predetermined standard may be a product that belongs to the same category as the category of the access product. The reason why similar products or products of the same category are included is that an access member may stop purchasing access products and purchase similar products or products of the same category. In the present embodiment, regarding the purchase history condition, a purchase history satisfying the following three conditions is not stored in the purchase history DB 12f in relation to the access history.

Condition 1-1: Access member ID = Purchased member ID
Condition 1-2: Access date / time <Purchase date / time Condition 1-3: Product code of either access product or similar product = purchased product code

Condition 1-1 indicates that the access member and the purchasing member are the same. Condition 1-2 indicates that the access member purchased the product after viewing the product page. Condition 1-3 indicates that the identity of the access product and the purchased product is equal to or higher than the standard. Here, it is indicated that the purchased product is the same product as the access product or a product similar to the access product. The estimation unit 141 acquires store product information including a product ID that matches the access product ID from the store product DB 12d. The estimation unit 141 acquires product information including a product code that matches the product code included in the acquired store product information from the product DB 12b. The estimation unit 141 can acquire a similar product list indicating a list of products similar to the access product from the acquired product information. Note that the identity criterion in Condition 1-3 may be a product whose purchased product belongs to the same category as the category of the access product. In this case, whether or not the condition 1-3 is satisfied is determined by the method described below. The estimation unit 141 acquires a product code corresponding to the purchased product ID and a product code corresponding to the access product ID from the store product DB 12d. The estimation unit 141 acquires a product category code corresponding to each acquired product code from the product DB 12b. The estimation unit 141 may determine whether or not the acquired product category codes are the same. In this case, the product code and product category code corresponding to the access product are examples of access product information related to the access product. The product code or product category code corresponding to the purchased product is an example of purchased product information regarding the purchased product.

The card usage history condition is that the access member subsequently settled the purchase price of a product belonging to the same category as the access product category using a credit card registered in the specific electronic shopping mall. That is, the card use history condition is that a card use history satisfying the following three conditions is stored in the card history DB 12f.

Condition 2-1: Access member card number = Card number of card usage history Condition 2-2: Access date / time <Card usage date / time Condition 2-3: Access product category code = card usage merchant category code

Condition 2-1 indicates that an access member who is a user of a specific electronic shopping mall has used a credit card. Condition 2-2 indicates that the access member has used a credit card after viewing the product page. Condition 2-3 indicates that a product belonging to the same category as the category of the access product is purchased with a credit card. The reason is that the card-use member store category code that matches the product category code is estimated to indicate the category of the member store that sells the product in the category indicated by the product category code. When the condition 2-3 is satisfied, the estimation unit 141 uses the access product indicated by the access product ID included in the access history and the member store or the card use member store of the category indicated by the card use member store category included in the card use history. It is determined that the affinity indicated by the ID and the member store where the credit card is used is above the standard. An affinity between an access product and a member store is above the standard is, for example, that there is a high probability that the member store using a credit card sells the access product, or that the probability is above the standard. There may be. In order to determine the condition 2-1, the estimation unit 141 acquires a card number corresponding to the access member ID included in the access history from the member DB 12a. Further, in order to determine the condition 2-3, the estimation unit 141 acquires a product code corresponding to the access product ID included in the access history from the store product DB 12d, and acquires a product category code corresponding to the product code from the product DB 12b. To do. In this case, the product category code corresponding to the access product ID is an example of access product information related to the access product.

Note that the product category code assignment system may differ from the credit card member store category code assignment system. In this case, for example, when the estimation unit 141 receives a card use history from the credit card server 2 and registers the card use history in the card history DB 12f, the estimation unit 141 may convert the card use member store category code into the product category code of the access product. For example, the storage unit 12 may further store a conversion table in which a member store category code and a product category code representing a category of a product sold by a store of the category indicated by the member store category code are associated with each other. Then, the estimation unit 141 may acquire a product category code corresponding to the card use member store category code from this table, and add the product category code to the card use history. Alternatively, the estimation unit 141 may acquire a product category code based on the card use member store ID. For example, the storage unit 12 may further store a conversion table in which the member store ID is associated with a product category code representing a category of products sold by the store indicated by the member store ID. Then, the estimation unit 141 may acquire a product category code corresponding to the card use member store ID from this table and add the product category code to the card use history. The condition 2-3 when the product category code is registered in the card usage history may be as follows.

Condition 2-3: Product category code of access product = Product category code of card usage history

In this case, the product category code of the card usage history is an example of the user store category identification information of the present invention.

Note that the estimation unit 141 may use a condition different from the above as the condition 2-3. For example, a sales store category code may be registered in the product DB 12b in association with the product code. The sales store category code is identification information for identifying a category to which a store that sells the access product indicated by the access product ID belongs. For example, the access store category code assignment system may be the same as the member store category code assignment system. The sales store category code is an example of the category identification information in the present invention. The estimation unit 141 acquires a product code corresponding to the access product ID included in the access history from the store product DB 12d. And the estimation part 141 acquires the sales store category code corresponding to the acquired goods code from goods DB12b. Condition 2-3 in this case may be as follows.

Condition 2-3: Sales store category code = card use member store category code In this case, the sales store category code corresponding to the access product is an example of access product information related to the access product.

Further, for example, the storage unit 12 may store a conversion table in which the card use member store ID and the sale product category code of the product sold by the store indicated by the card use member store ID are associated with each other. The sales product category code is a product category code of a product sold by the member store indicated by the card-use member store ID. For example, the estimation unit 141 may acquire a sales product category code corresponding to the card use member store ID from this table. Condition 2-3 in this case may be as follows.

Requirement 2-3: Product category code of access product = Sales product category code

In other words, the condition 2-3 in this case is that the card use history includes the card use member store ID associated with the sale product category code that matches the product category code of the access product.
In this case, the sales merchandise category code corresponding to the card-use member store ID is an example of the sales merchandise category identification information in the present invention, and the sales merchandise category code is used shop information relating to the shop where the settlement means is used. It is an example.

If the access history satisfies both the purchase history condition and the card usage history condition, the reason why the access member did not purchase the access product at the specified online shopping mall is that the access member purchased the access product at a store other than the specified electronic shopping mall. It may be because. Therefore, when the access history satisfies these two conditions, the estimation unit 141 may estimate that the access member has purchased the access product at a store other than the specific online shopping mall. Generally, a credit card usage history does not include information for identifying a product for which the purchase price has been settled, such as a product code. However, by using the card use member store category code included in the use history, the estimation unit 141 can perform the above estimation.

It should be noted that the card usage history condition may include that a card usage history including a card usage amount having a predetermined relationship with the price of the access product is stored in the card history DB 12f. When there is a predetermined relationship between the price and the usage amount, there is a high probability that a credit card is used for settlement of access merchandise at stores other than the specific electronic shopping mall. Therefore, the estimation accuracy by the estimation unit 141 can be increased. The price of the access product in this case is the price set by the access store for the access product.

The predetermined relationship may be, for example, that the difference between the price of the access product and the card usage amount is equal to or less than a preset reference difference. The reference difference is set to any value of 0 or more, for example. Specifically, the reference difference may be a uniform fixed value, may be a fixed value for each price range of the access product or the amount of money for one card use, or the access product or 1 It may be a value (for example, 5% of the price of the access product) calculated by a predetermined calculation method according to the card usage amount of time. The predetermined relationship may be that the difference between the card usage amount and the multiple of the access product price that is the smallest difference with the card usage amount is equal to or less than the reference difference. An access member may purchase multiple access products, for example. The relationship using multiples can correspond to multiple purchases of access products. Furthermore, the predetermined relationship may be, for example, that the fractional part of the ratio between the card usage amount and the access product amount is within a predetermined range (for example, 0.9 or more or 0.1 or less). Assuming that the quotient and surplus when the card usage amount is divided by the price of the access product are Qu and Su, respectively, in this embodiment, the predetermined relationship may be as shown below.

Condition 2-4 (when Qu = 0): price of access product-card usage amount ≦ reference difference Condition 2-4 (when Qu ≧ 1): min (Su, price of access product−Su) ≦ reference difference

Min () is a function indicating the minimum value. The estimation unit 141 acquires store product information including a product ID that matches the access product ID in the access history. The estimation unit 141 acquires, as the price of the access product, the price whose access date / time is included between the price effective start date and the price effective end date among the prices included in the acquired store product information.

The card usage history condition is that, in addition to the conditions 2-1 to 2-3 or the conditions 2-2 to 1-4, the card usage history satisfying the following conditions is stored in the card history DB 12f. May be.

Requirement 2-5: Access store ID ≠ Card use member store ID

This condition indicates that the access product was purchased at a store different from the access store. Note that there may be a case where the store ID assignment system of the specific electronic shopping mall is different from the credit card member store ID assignment system. In this case, for example, when the estimation unit 141 receives a card usage history from the credit card server 2 and registers the card usage history in the card history DB 12f, the estimation unit 141 associates the card usage member store ID with the store ID (for example, stores the card usage in the store DB 12c). The member-used store ID may be converted into a store ID using a member store ID may be added). And the estimation part 141 may add store ID to a card | curd utilization log | history. Condition 2-5 when the store ID is registered in the card use history may be as follows.

Condition 2-5: Access store ID ≠ Store ID of card usage history

The estimation unit 141 may estimate whether or not an access member has purchased an access product at a store other than the specific electronic shopping mall for each of all access histories within the set period. Or the estimation part 141 may further limit the access log | history used as estimation object.

For example, based on a plurality of access histories including an access member ID of a product for which the identity of an access member ID of a user and an access product is equal to or higher than a reference, the estimation unit 141 may obtain a product page by the access member. The transition of the number of accesses to may be specified. The product whose identity is equal to or higher than a predetermined standard may be the same product as the access product, for example. The same product as the access product is a product provided with the same product code as the product code of the access product. Alternatively, the product whose identity is equal to or greater than a predetermined reference may be, for example, the same product as the access product or a product similar to the access product. Alternatively, a product whose identity is greater than or equal to a predetermined standard may be a product that belongs to the same category as the category of the access product. This identity criterion and the identity criterion of purchase history condition condition 1-3 may be the same or different. The transition of the number of accesses may be, for example, the number of accesses for each predetermined unit period within the set period. The length of the unit period may be, for example, one day, one week, a predetermined time, or the like.

The estimation unit 141 may determine whether or not the number of accesses after a certain point of time is lower than a preset number or more from the number of accesses before a certain point based on the transition of the number of accesses. . The day when the number of accesses decreases more than a preset level is called a predetermined decrease day. The preset level may be, for example, a value using a ratio of the number of accesses or a value using a difference in the number of accesses.

In order to consider whether or not to purchase a product, the user may frequently browse the product page of the product. For example, when a plurality of stores in a specific electronic shopping mall sell the same product, the user may browse product pages of the plurality of stores. In addition, for example, the user may consider which store to purchase the product from among stores in the specific electronic shopping mall and stores other than the specific electronic shopping mall. In addition, the user may view the same product page many times in order to check the information on the product or to check whether the price of the same product in a certain store has changed. Therefore, when the user is considering purchasing a product, the number of accesses to the product page of the product is a certain number. However, after a user purchases a product at a certain store, the user has a high probability of not seeing the product page of the product at all or seeing it. Therefore, the drastic decrease in the number of accesses to the product page indicates that there is a high probability that the user has purchased the product.

Therefore, when a predetermined decrease date exists, the estimation unit 141 may acquire an access history including an access date and time immediately before the predetermined decrease date from a plurality of access histories. And the estimation part 141 may estimate whether the access member has purchased the access goods in stores other than a specific electronic shopping mall using the acquired access history. As a result, the number of access histories to be estimated can be reduced. The access history including the previous access date / time is an access history including the access date / time closest to the predetermined decrease date among the access histories including the access date / time prior to the predetermined decrease date. For the reason described above, it is estimated that the access member purchased the access product at a store other than the specific electronic shopping mall after the access date and time immediately before the predetermined decrease date. According to the condition 2-2 of the card usage history condition, the card usage history before the access date and time immediately before the predetermined decrease date is excluded from the card usage history satisfying the card usage history condition. Therefore, the estimation accuracy and processing efficiency of the estimation unit 141 can be increased, and the processing load on the estimation unit 141 can be reduced.

FIG. 6 is a graph showing changes in the number of accesses per day for a product page of a product by a user. As shown in FIG. 6, a certain number of accesses is seen between January 1 and January 5. On January 6, the number of accesses has dropped dramatically. After that, the number of accesses remains lowered. In this case, the estimation unit 141 determines, for example, that January 6 is a predetermined decrease date. Dates T1 to T13 indicate the access date and time for the product page by the user. In this case, for example, the estimation unit 141 specifies the date and time T11 closest to midnight among the access dates and times T1 to T11 before midnight on January 6, for example. Then, the estimation unit 141 uses the access history of the access date / time T11 for estimation.

On the other hand, when the predetermined decline date does not exist, the estimation unit 141 may estimate that the access member has not purchased the access product at a store other than the specific online shopping mall. If the number of access to the product page has not drastically decreased, it is likely that the access member is still considering whether or not to purchase the product. That is, there is a high probability that the access member has not purchased the access product at a store other than the specific electronic shopping mall.

The recommendation unit 142 may perform recommendation exclusion registration when the estimation unit 141 estimates that the access member has purchased the access product at a store other than the specific electronic shopping mall. The recommended exclusion registration means that the estimated access product is excluded from the products recommended for the access member, the access member is excluded from users recommended for the access product, or the access product for the access member. To stop or ban the recommendation. Specifically, the recommendation unit 142 registers the recommendation excluded product information including the member ID of the access member and the product code of the access product in the recommendation excluded product DB 12h.

When registering recommendation excluded product information, the recommendation unit 142 may or may not register the exclusion start date and the exclusion end date. When the exclusion start date and the exclusion end date are not registered, for example, the access product may be excluded from the product recommended for the access member indefinitely. When the exclusion start date and the exclusion end date are registered, the access product is excluded from the period indicated by the exclusion start date and the exclusion end date, for example, the product recommended for the access member. This period is called the recommendation exclusion period. The exclusion start date may be a card use date, for example. For example, the length of the recommendation exclusion period may be set in advance for all commodities. Alternatively, for example, the length of the recommendation exclusion period may be set for each product. For example, when the access product is a repeat product, the length of the recommendation exclusion period may be the number of days corresponding to the repeat cycle. For example, the recommendation unit 142 may calculate the length of the recommendation exclusion period by subtracting the number of grace days from the repeat cycle. The grace period is the number of days set for the recommendation unit 142 to provide information recommending the access product before the access member purchases the access product again. For example, the grace period may be set in advance for all products, or may be set for each product. When the access product is not a repeat product, for example, the length of the recommendation exclusion period may be set in advance. In this case, the length of the recommendation exclusion period is significantly longer than the repeat cycle of the repeat product. Or the recommendation part 142 does not need to register an exclusion start date and an exclusion end date, for example. Moreover, the item of recommendation exclusion period may be provided in goods DB12b instead of a repeat period. The exclusion end date may be a date obtained by adding the recommendation exclusion period of the product DB 12b from the exclusion start date.

The recommendation unit 142 provides the user terminal 4 with information for recommending products sold in the specific online shopping mall to users of the specific electronic shopping mall. For example, when the recommendation unit 142 transmits a web page in response to a request from the user terminal 4, the recommendation unit 142 may transmit a web page including an advertisement for a product. Or the recommendation part 142 may transmit the email which described the advertisement of goods to the user of a specific online shopping mall.

For example, the recommendation unit 142 may determine at least one of the recommended user and the recommended product based on at least one of the access history, the purchase history, and the analysis card history. Good. A user whose product is recommended is referred to as a recommended user. Recommended products are referred to as recommended products. When a web page including an advertisement is transmitted, the recommended user is a user who uses the user terminal 4 that transmitted the request. When an e-mail including a product advertisement is transmitted, the recommendation unit 142 may determine both the recommended user and the recommended product based on the history. Alternatively, for example, the recommendation unit 142 may determine one of the recommended user and the recommended product based on a predetermined criterion first, and may determine the other of the determined recommended user and the recommended product based on the history and the other. In addition, as a method for determining recommended users and recommended products, a method using collaborative filtering that is determined based on the similarity between users or products calculated from the above history, simultaneous use between products or specific cross-selling sales A known method such as a method using a rule set in advance based on a campaign or the like can be used.

For example, based on the access history, the recommendation unit 142 may be a product corresponding to a product page that the user has accessed, a product similar to the product, a product that has the same category as the product, or that the user has accessed. A product sold by a store corresponding to a certain product page may be determined as a recommended product. Also, for example, the recommendation unit 142 may purchase a product corresponding to a product page that the user has purchased, a product similar to the product, a product that has the same category as the product, or a user purchase based on the purchase history. A product sold by a store that sells a certain product may be determined as a recommended product. Further, for example, the recommendation unit 142 may determine, as a recommended product, a product that belongs to the category of the product for which the user has settled the purchase price based on the card usage history.

The recommendation unit 142 may not provide information that recommends, for example, an estimated product purchased by the estimation unit 141 at a store other than the specific electronic shopping mall to a user who is estimated to have purchased the product. Thereby, since the user does not receive information on a product that is likely to be purchased by the user, the troublesomeness of receiving unnecessary information can be eliminated. In addition, since the number of products that can be recommended products is reduced, the processing load on the recommendation unit 142 may be reduced. For example, consider a case where the lower limit of the number of advertisements displayed on a web page or the number of advertisements included in an e-mail is not predetermined. In this case, for example, when the recommendation unit 142 determines one or more recommended products, the recommended product 142 can exclude the products estimated to have been purchased at a store other than the specific online shopping mall from the recommended products. Further, for example, consider a case where an e-mail including an advertisement for a certain product is transmitted to a plurality of users determined based on a predetermined condition. In this case, the recommendation unit 142 may not send an e-mail to a user who is estimated to have purchased the product at a store other than the specific electronic shopping mall.

The recommendation unit 142 has registered in the recommendation excluded product DB 12h information that specifically recommends the product indicated by the product code registered in the recommended exclusion product DB 12h to the user indicated by the member ID registered in the recommended exclusion product DB 12h. The period indicated by the exclusion start date and the exclusion end date will not be provided. Thereby, the information which recommends goods for the period set for every predetermined period or goods is not provided. If the exclusion start date and the exclusion end date are not registered, the recommendation unit 142 may not provide information recommending a product indefinitely, for example.

In addition, the recommendation part 142 does not need to provide the information which recommends the goods similar to the goods estimated to be purchased in stores other than a specific electronic shopping mall. This is because after a user purchases a certain product, the user may not purchase a similar product. For example, the recommendation unit 142 may register the recommendation excluded product information of similar products in the recommendation excluded product DB 12h. Alternatively, for example, when the product determined as a recommended product candidate is a product that is the same as or similar to the product indicated by the product code registered in the recommended exclusion product DB 12h, the recommendation unit 142 excludes the product from the recommended product. May be.

The recommendation unit 142 may delete, for example, the recommendation excluded product information for which the exclusion end date has elapsed from the recommendation excluded product DB 12h. For example, the recommendation part 142 may perform the process which deletes the recommendation exclusion product information which the exclusion end date passed for every predetermined period.

When the estimating unit 141 estimates that the access member has purchased an access product at a store other than the specific electronic shopping mall, the notification unit 143 indicates that the access product has been purchased at a store other than the specific electronic shopping mall. Other store purchase notification information for notifying stores that sell access products is output. As a result, the store can know that the product sold by the store has been purchased at a store other than the specific electronic mall even though the product page of the store has been accessed. Then, the store can consider some means for marketing based on the other store purchase notification information.

The other store purchase notification information includes, for example, at least one of a product ID, a product code, and a product name of the access product. Further, the other store purchase notification information may include a message such as “AAA may have been purchased at a store other than the specific electronic shopping mall”. “AAA” is a product name. Further, the other store purchase notification information may include, for example, at least one of an estimated purchase date, an estimated purchase price, and the like. The estimated purchase date is a credit card usage date. The estimated purchase amount is a credit card usage amount.

The notification unit 143 may transmit, for example, an e-mail addressed to a store as other store purchase notification information. Alternatively, when the notification unit 143 transmits a dedicated web page for each store that can be browsed only by the store to the store terminal 3, the notification unit 143 may add other store purchase notification information to the web page.

[5. Operation of information processing system]
Next, the operation of the information processing system S will be described with reference to FIGS.

FIG. 7 is a flowchart showing an example of another store purchase estimation process of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. The other store purchase estimation process is a process for estimating that a user of the specific electronic shopping mall has purchased a product at a store other than the specific electronic shopping mall. The system control unit 14 executes another store purchase estimation process, for example, at a predetermined cycle. For example, the system control unit 14 may execute another store purchase estimation process once a day, may execute another store purchase estimation process every predetermined time, or may be triggered by access from the user. Store purchase estimation processing may be executed.

As shown in FIG. 7, the estimation unit 141 searches the access history DB 12e for an access history including the access date and time within the set period. Then, the estimation unit 141 generates a history list including the access history found by the search (Step S11). Next, the estimation unit 141 acquires a product code corresponding to the access product ID included in the access history from the store product DB 12d for each access history registered in the history list. Then, the estimation unit 141 adds the acquired product code to the corresponding access history (step S12). Next, the estimating unit 141 selects one access history from the history list (step S13). Next, the estimation unit 141 executes an access number analysis process (step S14).

FIG. 8 is a flowchart showing an example of the access number analysis process of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. As illustrated in FIG. 8, the estimation unit 141 acquires a product code from the selected access history (step S31). Next, the estimating unit 141 acquires an access member ID and a product code from the selected access history. Next, the estimating unit 141 extracts all access histories including the acquired access member ID and product code from the history list (step S32). Next, the estimating unit 141 deletes the extracted access history from the history list (step S33).

Next, the estimation unit 141 calculates the number of accesses for each day within the set period based on the access date and time included in the extracted access history (step S34). Next, the estimating unit 141 sets the target date as the second day of the set period (step S35). Next, the estimating unit 141 calculates the reference access number by dividing the access number on the day before the target date by the reference decrease degree (step S36). The reference lowering degree is a reference value or threshold value that reduces the number of accesses. The reference reduction degree is set to a value larger than 1, for example, and is stored in the storage unit 12. Next, the estimation unit 141 compares the number of accesses on each day after the target date with the reference number of accesses. And the estimation part 141 determines whether the access number of all the days after a target day is less than a reference | standard access number (step S37). At this time, if the estimation unit 141 determines that the number of accesses on all days is less than the reference access number (step S37: YE), the process proceeds to step S38. On the other hand, when the estimation unit 141 determines that at least the number of accesses per day is not less than the reference access number (step S37: NO), the estimation unit 141 proceeds to step S40.

In step S38, the estimation unit 141 sets the analysis result to “with drastic decrease”. Next, the estimating unit 141 determines, as the target access history, the access history whose access date and time is immediately before the target date among the extracted access histories (step S39). That is, the estimation unit 141 determines, as the target access history, the access history including the access date and time closest to midnight on the target day among the access histories including the access date and time before midnight on the target date. Then, the estimation unit 141 ends the access number analysis process.

In step S40, the estimation unit 141 determines whether the target date is the end date of the set period. At this time, if the estimation unit 141 determines that the target date is not the end date of the set period (step S40: NO), the estimation unit 141 proceeds to step S41. Then, the estimating unit 141 sets a new target date to the next day of the current target date (step S41), and proceeds to step S36. On the other hand, when the estimation unit 141 determines that the target date is the end date of the set period (step S40: YES), the estimation unit 141 proceeds to step S42. Then, the estimation unit 141 sets the analysis result to “no drastic decrease” and ends the access number analysis process.

When the access number analysis processing is completed, the estimation unit 141 determines whether or not the analysis result is “with drastic decrease” as shown in FIG. 7 (step S15). At this time, if the estimation unit 141 determines that the analysis result is not “absolute decrease” (step S15: NO), the estimation unit 141 proceeds to step S22. On the other hand, when the estimation unit 141 determines that the analysis result is “has drastically decreased” (step S15: YES), the estimation unit 141 proceeds to step S16. And the estimation part 141 performs a purchase history determination process (step S16).

FIG. 9 is a flowchart showing an example of purchase history determination processing of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. As illustrated in FIG. 9, the estimation unit 141 acquires an access member ID, an access date and time, and a product code from the target access history. Then, the estimation unit 141 searches the purchase history DB 12f for a purchase history including the access member ID of the target access history as the purchased member ID (step S51). Next, the estimating unit 141 determines whether or not at least one purchase history is found as a result of the search in step S51 (step S52). At this time, when it is determined that the purchase history has not been found (step S52: NO), the estimation unit 141 proceeds to step S59. Then, the estimation unit 141 sets the determination result to “no purchase history” (step S59), and ends the purchase history determination process. On the other hand, when it is determined that the purchase history has been found (step S52: YES), the estimation unit 141 proceeds to step S53.

In step S53, the estimation unit 141 searches the purchase history including the purchase date and time later than the access date and time of the target access history from the purchase history found by the search in step S51. Next, the estimating unit 141 determines whether or not at least one purchase history is found as a result of the search in step S53 (step S54). At this time, when it is determined that the purchase history has not been found (step S54: NO), the estimation unit 141 proceeds to step S59. On the other hand, if the estimation unit 141 determines that a purchase history has been found (step S54: YES), the estimation unit 141 proceeds to step S55.

In step S55, the estimation unit 141 acquires, for each purchase history found by the search in step S51, a product code corresponding to the purchased product ID included in the purchase history from the store product DB 12d. Next, the estimating unit 141 acquires a similar product list corresponding to the product code of the target access history from the product DB 12b (step S56). Next, the estimation unit 141 includes a purchase history corresponding to a product code that matches either the product code of the target access history or the product code registered in the similar product list in the purchase history found by the search in step S53. It is determined whether or not there is (step S57). At this time, if the estimation unit 141 determines that there is no purchase history corresponding to the product code that matches any of the product codes (step S57: NO), the process proceeds to step S59. On the other hand, if the estimating unit 141 determines that there is a purchase history corresponding to the product code that matches any of the product codes (step S57: YES), the estimating unit 141 proceeds to step S58. Then, the estimation unit 141 sets the determination result to “with purchase history” (step S58), and ends the purchase history determination process.

When the purchase history determination process ends, the estimation unit 141 determines whether or not the determination result is “no purchase history” as shown in FIG. 7 (step S17). At this time, if the estimation unit 141 determines that the determination result is not “no purchase history” (step S17: NO), the estimation unit 141 proceeds to step S22. On the other hand, when the estimation unit 141 determines that the determination result is “no purchase history” (step S17: YES), the estimation unit 141 proceeds to step S18. And the estimation part 141 performs a card utilization log | history determination process (step S18).

FIG. 10 is a flowchart showing an example of card use history determination processing of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. As shown in FIG. 10, the estimation unit 141 acquires a card number corresponding to the access member ID of the target access history from the member DB 12a (step S61). Next, the estimating unit 141 searches the card use history including the acquired card number from the analysis card history DB 12g (step S62). Next, the estimating unit 141 determines whether or not at least one card use history is found as a result of the search in step S62 (step S63). At this time, when it is determined that the card usage history has not been found (step S63: NO), the estimation unit 141 proceeds to step S72. Then, the estimation unit 141 sets the determination result to “no usage history” (step S72), and ends the card usage history determination processing. On the other hand, if the estimation unit 141 determines that a card usage history has been found (step S63: YES), the estimation unit 141 proceeds to step S64.

In step S64, the estimating unit 141 searches the card usage history including the card usage date later than the access date and time of the target access history from the card usage history found by the search in step S62. Next, the estimating unit 141 determines whether or not at least one card use history is found as a result of the search in step S64 (step S65). At this time, when it is determined that the card usage history has not been found (step S65: NO), the estimation unit 141 proceeds to step S72. On the other hand, when the estimation unit 141 determines that a card usage history has been found (step S65: YES), the estimation unit 141 proceeds to step S66.

In step S66, the estimation unit 141 acquires a product category code corresponding to the product code of the target access history from the product DB 12b. Next, the estimation unit 141 searches the card usage history including the card usage member store category code that matches the product category code of the target access history from the card usage history found by the search in step S64 (step S67). Next, the estimating unit 141 determines whether or not at least one card use history is found as a result of the search in step S67 (step S68). At this time, when it is determined that the card usage history is not found (step S68: NO), the estimation unit 141 proceeds to step S72. On the other hand, when it is determined that the card use history has been found (step S68: YES), the estimation unit 141 proceeds to step S69.

In step S69, the estimation unit 141 acquires a price corresponding to the product ID included in the target access history from the store product DB 12d. At this time, the estimation unit 141 acquires, for example, a price whose price effective start date is before the access date / time of the target access history and whose price effective end date is after the access date / time of the target access history. Next, the estimation unit 141 calculates, for each card usage history found by the search in step S67, the difference between the card usage amount and the multiple that minimizes the difference from the card usage amount among the multiples of the price of the acquired access product. To do. (Step S70). Specifically, the estimation unit calculates the quotient and the remainder by dividing the card usage amount by the acquired price. When the calculated quotient is 0, the estimation unit 141 calculates the difference by subtracting the usage amount from the price. On the other hand, when the quotient is 1 or more, the estimation unit 141 determines the smaller value of the calculated remainder and the value calculated by subtracting the remainder from the price as the difference. Next, the estimation unit 141 determines whether or not the found card usage history includes a card usage history in which the calculated difference is equal to or less than the reference difference stored in the storage unit 12 (step S71). At this time, when the estimation unit 141 determines that there is no card usage history whose difference is equal to or less than the reference difference (step S71: NO), the estimation unit 141 proceeds to step S72. On the other hand, when the estimation unit 141 determines that there is a card usage history whose difference is equal to or less than the reference difference (step S71: YES), the estimation unit 141 proceeds to step S73. Then, the estimation unit 141 sets the determination result to “use history” (step S73), and ends the card use history determination process.

When the card usage history determination process ends, the estimation unit 141 determines whether or not the determination result is “with usage history” as shown in FIG. 7 (step S19). At this time, when the estimation unit 141 determines that the determination result is not “use history” (step S19: NO), the estimation unit 141 proceeds to step S22. On the other hand, when the estimation unit 141 determines that the determination result is “use history” (step S19: YES), the estimation unit 141 proceeds to step S20. And the estimation part 141 performs a recommendation exclusion registration process (step S20).

FIG. 11 is a flowchart showing an example of the recommendation exclusion registration process of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. As illustrated in FIG. 11, the recommendation unit 142 selects one of the product code of the target access history and the product code registered in the similar product list acquired in the purchase history determination process (step S81). Next, the recommendation unit 142 acquires a repeat flag corresponding to the selected product code from the product DB 12b. And the recommendation part 142 determines whether a repeat flag is TRUE (step S82). At this time, when the recommendation unit 142 determines that the repeat flag is TRUE (step S82: YES), the recommendation unit 142 proceeds to step S83. In step S83, the recommendation unit 142 acquires a repeat cycle corresponding to the selected product code from the product DB 12b. Next, the recommendation unit 142 calculates the recommendation exclusion days by subtracting the grace days stored in the storage unit 12 from the repeat cycle. Then, the recommendation unit 142 proceeds to step S85. On the other hand, when the recommendation unit 142 determines that the repeat flag is not TRUE (step S82: NO), the recommendation unit 142 proceeds to step S84. And the recommendation part 142 sets a recommendation exclusion day to the predetermined value memorize | stored in the memory | storage part 12, and follows it to step S85.

In step S85, the recommendation unit 142 acquires the card use date from the card use history whose difference is equal to or less than the reference difference in the card use history determination process. Then, the recommendation unit 142 sets the exclusion start date as the card use date. In addition, the recommendation unit 142 sets the exclusion end date to the date after the recommendation exclusion date from the card use date. Next, the recommendation unit 142 associates the access user ID of the target access history, the selected product code, the exclusion start date, and the exclusion end date, and registers them in the recommendation exclusion product DB 12h (step S86).

Next, the recommendation unit 142 determines whether or not all the product codes in the target access history and the product codes registered in the similar product list have been selected (step S87). At this time, when the recommendation unit 142 determines that there is at least one product code that has not yet been selected (step S87: NO), the recommendation unit 142 proceeds to step S88. And the recommendation part 142 selects one from the merchandise code which has not been acquired yet (step S88), and progresses to step S82. On the other hand, when it is determined that the product code of the target access history and all of the product codes registered in the similar product list have been selected (step S87: YES), the recommendation unit 142 ends the recommendation exclusion registration process. .

When the recommendation exclusion registration process ends, as shown in FIG. 7, the notification unit 143 transmits an e-mail including other store purchase notification information (step S21). For example, the notification unit 143 acquires the access product ID from the target access history, and acquires the product name corresponding to the product code corresponding to the access product ID from the product DB 12b. And the notification part 143 produces | generates the email which has goods ID, a goods name, etc. as a text. Moreover, the recommendation part 142 acquires the mail address corresponding to access store ID contained in object access history from store DB12c. Then, the notification unit 143 sets the destination address of the email as the acquired email address, and transmits the email. Note that the notification unit 143 may acquire the access product ID and the access store ID from each of the access histories extracted in step S32 of the access number analysis process. And the notification part 143 may transmit the email containing other store purchase notification information for every combination of access goods ID and access store ID.

When step S21 ends, the estimation unit 141 determines whether or not the history list is empty (step S22). At this time, when the estimation unit 141 determines that the history list is not empty (step S22: NO), the estimation unit 141 proceeds to step S14. On the other hand, when it is determined that the history list is empty (step S22: YES), the estimation unit 141 ends the other store purchase estimation process.

In the example of FIG. 7, the purchase history determination process is executed first, and then the card usage history determination process is executed. However, the estimation unit 141 may execute the card usage history determination process first, and then execute the purchase history determination process.

FIG. 12 is a flowchart illustrating an example of a web page transmission process for transmitting a web page including an advertisement for a recommended product to the user of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. Each time a web page request is received from the user terminal 4, the system control unit 14 executes web page transmission processing.

As illustrated in FIG. 12, the recommendation unit 142 acquires an HTML document corresponding to the URL included in the request from the storage unit 12. And the recommendation part 142 determines whether the requested | required web page contains an advertisement area | region based on the acquired HTML document, for example (step S91). The advertisement area is an area in which one or a plurality of advertisement contents are displayed. At this time, when the recommendation unit 142 determines that the web page does not include the advertisement area (step S91: NO), the recommendation unit 142 proceeds to step S94. On the other hand, the recommendation part 142 progresses to step S92, when it determines with a web page including an advertisement area | region (step S91: YES). Then, the recommendation unit 142 executes a recommended product determination process (step S92).

FIG. 13 is a flowchart showing an example of recommended product determination processing of the system control unit 14 of the online shopping mall server 1 according to the present embodiment. As illustrated in FIG. 13, the recommendation unit 142 acquires the member ID of the user who uses the user terminal 4 that has transmitted the request as the member ID of the recommended user based on a cookie or the like included in the received request. Next, the recommendation unit 142 acquires at least one of the card use history, the purchase history, and the access history including the acquired member ID from at least one of the card history DB 12g, the purchase history DB 12f, and the access history DB 12e. Then, the recommendation unit 142 determines one or more candidate product IDs for the recommended product based on the acquired history (step S101).

Next, the recommendation unit 142 selects one of the product IDs determined as candidates (step S102). Next, the recommendation unit 142 acquires a product code corresponding to the determined product ID from the product DB 12b (step S103). Next, the recommendation unit 142 searches the recommendation exclusion product DB 12h for recommendation exclusion product information including the combination of the acquired product code and the member ID of the recommendation user (step S104). Next, the recommendation unit 142 determines whether or not recommendation excluded product information is found as a result of the search in step S104 (step S105). At this time, when the recommendation unit 142 determines that the recommendation excluded product information has not been found (step S105: NO), the recommendation unit 142 proceeds to step S106. Then, the recommendation unit 142 determines the selected product ID as the product ID of the recommended product (step S106), and proceeds to step S108. On the other hand, the recommendation part 142 progresses to step S107, when it determines with recommendation exclusion merchandise information having been found (step S105: YES).

In step S107, the recommendation unit 142 acquires the exclusion end date corresponding to the found combination from the recommendation exclusion product DB 12h. And the recommendation part 142 determines whether the exclusion end date passed. At this time, when the recommendation unit 142 determines that the exclusion end date has passed (step S107: YES), the recommendation unit 142 proceeds to step S106. On the other hand, if the recommendation unit 142 determines that the exclusion end date has not elapsed (step S107: NO), the recommendation unit 142 proceeds to step S108. Note that the recommendation unit 142 may determine whether or not the current date is before the exclusion start date of the recommendation excluded product DB 12h in step S107. In this case, when the current date is before the exclusion start date or after the exclusion end date, the recommendation unit 142 proceeds to step S106.

In step S108, the recommendation unit 142 determines whether all candidate product IDs for the recommended product have been selected. If the recommendation unit 142 determines that there is at least one candidate that has not been selected (step S108: NO), the process proceeds to step S109. And the recommendation part 142 selects one from the candidates which have not been selected yet (step S109), and progresses to step S103. On the other hand, when it is determined that all candidates have been selected (step S108: YES), the recommendation unit 142 ends the recommended product determination process.

When the recommended product determination process is completed, the recommendation unit 142 adds, to the HTML document, information for displaying the advertising content corresponding to the product ID on the web page for each product ID of the determined recommended product (step S93). . And the recommendation part 142 transmits an HTML document to the user terminal 4 (step S94), and complete | finishes a web page transmission process.

As described above, according to the present embodiment, the system control unit 14 determines the access history, the product category code of the product indicated by the product ID included in the access history, and the store category code of the store that sells the product. Any one and the card number corresponding to the access member ID included in the access history are acquired. Further, when the access history satisfies the purchase history condition and the card use history condition, the system control unit 14 estimates that the accessor has purchased the access product at a store other than the specific electronic shopping mall. The purchase history condition identifies a purchase product whose purchase member ID that matches the access member ID, a purchase date and time later than the access date and time, and a product indicated by the access product ID is equal to or greater than a reference in the purchase history DB 12f. The purchase history including the purchased product ID is not stored. The card usage history condition includes, in the analysis card usage history DB 12g, a card number that matches the accessor's card number, a usage date and time that is later than the access date and time, a card usage member store category code that matches the product category code, It may be that the card usage history including is stored. Alternatively, the card usage history condition corresponds to, for example, the card usage history DB 12g for analysis, the card number that matches the card number of the accessor, the usage date and time that is later than the access date and time, and the sales product category code that matches the product category code. A card use history including the attached card use store ID may be stored. Alternatively, for example, the card usage history condition is set in the analysis card usage history DB 12g by using a card number that matches the card number of the accessor, a usage date and time later than the access date and time, and a card usage member store category that matches the store category code. The card use history including the code may be stored. Accordingly, the system control unit 14 has an access history to the web page of a certain product in the specific electronic shopping mall, but thereafter there is no purchase history of the product in the specific electronic shopping street, and the same classification It is possible to specify a card usage history indicating that a product has been purchased at any store. As a result, the system control unit 14 explained that the access member purchased the product at a store other than the specific electronic shopping mall because the access member did not purchase the product for which the access member accessed the product page at the specific electronic shopping mall. It can be estimated that Therefore, more appropriate marketing can be performed using this analysis result.

The card usage history condition includes the analysis card usage history DB 12g, a card number that matches the access member's card number, a usage date and time that is later than the access date and time, a card usage member store category code that matches the product category code, and The card usage history including the price of the product indicated by the access product ID and the card usage amount having a predetermined relationship may be stored. In this case, the estimation accuracy can be increased.

In addition, the system control unit 14 obtains an access history including an access member ID for identifying a certain access member and an access product ID for identifying a product whose identity with a certain product is equal to or greater than a reference from the access history DB 12e. You may acquire more than one. Further, the system control unit 14 may specify the transition of the number of accesses based on the acquired access history. Further, when the system control unit 14 indicates that the number of accesses after a certain point in time indicates that the number of accesses after a certain point of time has decreased by a predetermined amount or more from the number of accesses before a certain point in time, the acquired access history Among them, an access history including an access date and time that is earlier than a certain point in time and that is closest to a certain point in time may be acquired. Then, the system control unit 14 may determine whether or not the acquired access history satisfies the purchase history condition and the card use history condition. In this case, it is possible to reduce the processing load of the information processing apparatus while improving the estimation accuracy.

Further, the system control unit 14 may not provide recommendation information for recommending a product estimated to be purchased at a store other than the specific electronic shopping mall to a user who is estimated to have purchased the product. In this case, it is possible to eliminate the annoyance that the user receives information recommending a product that has already been purchased.

In addition, when the product presumed to be purchased at a store other than the specific electronic shopping mall is a repeat product, the system control unit 14 recommends for a predetermined period from the card use date and time included in the card use history that satisfies the card use history condition. It is not necessary to provide information. In this case, when an access member approaches the time to purchase an access product, information recommending the product can be provided.

In addition, when it is estimated that the product has been purchased at a store other than the specific electronic shopping mall, the system control unit 14 may output other store purchase notification information. In this case, the store that received the notification can take some means for promoting the sale of the product.

Note that the present invention may be applied to a payment means different from a credit card. Specifically, the identification information for identifying the member using the determination means, the use date and time of the payment means, and the identification information for identifying the category of the product sold by the store where the payment means is used can be acquired as a history. The present invention can be applied to such determination means. Examples of such settlement means include electronic money, electronic coins, debit cards, point cards and the like.

In the above embodiment, the information processing apparatus of the present invention is applied to the server apparatus. However, the present invention may be applied to a device different from the server device. For example, the present invention may be applied to a predetermined terminal device. In the above embodiment, the information processing apparatus of the present invention is applied to the online shopping mall server 1 that operates the online shopping mall. However, the present invention is applied to a data analysis server apparatus (data analysis server). You may apply. In this case, each database may be constructed on a data analysis server, and data of each database may be transferred from the online shopping mall server 1 or the credit card server 2 at a predetermined timing.

DESCRIPTION OF SYMBOLS 1 Electronic mall server 2 Credit card server 3 Store terminal 4 User terminal 11, 21

Communication part

12, 22 Storage part 12a Member DB
12b Product DB
12c Store DB
12d store product DB
12e Access history DB
12f Purchase history DB
12g Analysis card usage history DB
12h Recommendation exclusion product DB
22a Merchant DB
22b Card usage history DB
13, 23 Input /

output interface

14, 24

System controller

14a, 24a CPU
14b, 24b ROM
14c, 24c RAM
15, 25 System bus 141 Estimation unit 142 Recommendation unit 143 Notification unit NW Network S Information processing system

Claims

An information processing apparatus,
Access history including accessor identification information for identifying a visitor to a product web page in a predetermined online shopping mall, access date and time for accessing the web page, and access product identification information for identifying the product, and classification of the product And classification identification information for identifying any of the classifications of stores that sell the product, and member identification information for identifying the accessor as a member of a settlement means used by the accessor for settlement in the online shopping mall Acquisition means to
When the access history acquired by the acquisition unit satisfies the first condition and the second condition, the estimation unit estimates that the accessor has purchased the product at a store other than the online shopping mall,
With
The first condition includes a plurality of purchase histories including purchase product identification information for identifying a purchase product in the online shopping mall, purchaser identification information for identifying a purchaser of the purchase product, and purchase date and time of the purchase product. The purchase history storage means stores the purchaser identification information indicating the same purchaser as the accessor indicated by the accessor identification information, the purchase date and time later than the access date and time, and the product indicated by the access product identification information. Purchase history including purchase product identification information for identifying a purchase product whose identity is equal to or higher than a standard is not stored,
The second condition includes: use member identification information for identifying a member of the payment means using the payment means, use date and time of the payment means, and use store identification information for identifying a store where the payment means is used. And the use store identification information associated with the sales product category identification information for identifying the category of the product sold by the store where the settlement means is used, and the use for identifying the category of the store where the settlement means is used. Use history storage means for storing a plurality of usage histories including at least one of store category identification information, usage member identification information that matches the member identification information, usage date and time later than the access date and time, and the category identification Use history including at least one of user store identification information associated with sales product category identification information that matches information and user store category identification information that matches the category identification information. The information processing apparatus which is characterized in that it has been.
The information processing apparatus according to claim 1,
The acquisition means acquires product category identification information for identifying the category of the product as the category identification information,
The second condition is that a usage history storage means for storing a plurality of usage histories including at least the usage store category identification information among the usage store identification information and the usage store category identification information, matches usage with the member identification information. An information processing apparatus characterized by storing a use history including member identification information, use date and time later than the access date and time, and use store category identification information that matches the product category identification information.
The information processing apparatus according to claim 1 or 2,
The second condition is that the usage history storage means for storing a plurality of usage histories further including the usage amount of the settlement means, the usage member identification information that matches the membership identification information, and the usage that is later than the access date and time. The access product identification information includes at least one of the date and time, the user store identification information associated with the sales product category identification information that matches the category identification information, and the user store category identification information that matches the category identification information. An information processing apparatus characterized in that a usage history including a price of a product to be displayed and a usage amount having a predetermined relationship is stored.
The information processing apparatus according to any one of claims 1 to 3,
Access including accesser identification information for identifying a certain accessor and access product identification information for identifying a product whose identity with a certain product is equal to or greater than a reference from an access history storage means for storing a plurality of access histories A second acquisition means for acquiring a plurality of histories;
Based on the access history acquired by the second acquisition means, further comprising specifying means for specifying a transition of the number of accesses;
If the transition specified by the specifying means indicates that the number of accesses after a certain point in time has decreased by a predetermined amount or more from the number of accesses before the certain point, the second means Information processing characterized in that, of the access history acquired by the acquisition means, an access history including an access date and time that is earlier than the certain time and that is closest to the certain time is acquired. apparatus.
The information processing apparatus according to any one of claims 1 to 4,
Providing means for providing recommendation information for recommending any product sold in the online shopping mall to any user in the electronic shopping mall, purchased by a store other than the electronic shopping mall by the estimating means An information processing apparatus, further comprising providing means that does not provide recommendation information for recommending a product estimated to have been purchased to a user who has been estimated to have purchased the product.
The information processing apparatus according to claim 5,
When the product estimated to have been purchased at a store other than the online shopping mall has the property of being repeatedly purchased by the same person, the providing means determines a predetermined period from the use date and time included in the use history that satisfies the second condition. An information processing apparatus that does not provide the recommendation information.
The information processing apparatus according to any one of claims 1 to 6,
The acquisition means acquires the access history further including access store identification information for identifying a store that sells products for which the web page is accessed;
The access history acquired by the acquisition unit that the product is purchased at a store other than the online shopping mall when the estimation unit estimates that the product has been purchased at a store other than the online shopping mall. An information processing apparatus, further comprising: output means for outputting information notified to a store indicated by the access store identification information included in the information store.
An information processing method executed by a computer,
Access history including accessor identification information for identifying a visitor to a product web page in a predetermined online shopping mall, access date and time for accessing the web page, and access product identification information for identifying the product, and classification of the product And classification identification information for identifying any of the classifications of stores that sell the product, and member identification information for identifying the accessor as a member of a settlement means used by the accessor for settlement in the online shopping mall An acquisition step to
If the access history acquired by the acquiring step satisfies the first condition and the second condition, the estimating step estimates that the accessor has purchased the product at a store other than the online shopping mall;
Including
The first condition includes a plurality of purchase histories including purchase product identification information for identifying a purchase product in the online shopping mall, purchaser identification information for identifying a purchaser of the purchase product, and purchase date and time of the purchase product. The purchase history storage means stores the purchaser identification information indicating the same purchaser as the accessor indicated by the accessor identification information, the purchase date and time later than the access date and time, and the product indicated by the access product identification information. Purchase history including purchase product identification information for identifying a purchase product whose identity is equal to or higher than a standard is not stored,
The second condition includes: use member identification information for identifying a member of the payment means using the payment means, use date and time of the payment means, and use store identification information for identifying a store where the payment means is used. And the use store identification information associated with the sales product category identification information for identifying the category of the product sold by the store where the settlement means is used, and the use for identifying the category of the store where the settlement means is used. Use history storage means for storing a plurality of usage histories including at least one of store category identification information, usage member identification information that matches the member identification information, usage date and time later than the access date and time, and the category identification Use history including at least one of user store identification information associated with sales product category identification information that matches information and user store category identification information that matches the category identification information. An information processing method which is characterized in that it has been.
An information processing program executed by a computer,
The computer,
Access history including accessor identification information for identifying a visitor to a product web page in a predetermined online shopping mall, access date and time for accessing the web page, and access product identification information for identifying the product, and classification of the product And classification identification information for identifying any of the classifications of stores that sell the product, and member identification information for identifying the accessor as a member of a settlement means used by the accessor for settlement in the online shopping mall Acquisition means to
When the access history acquired by the acquisition unit satisfies the first condition and the second condition, the estimation unit estimates that the accessor has purchased the product at a store other than the online shopping mall,
Function as
The first condition includes a plurality of purchase histories including purchase product identification information for identifying a purchase product in the online shopping mall, purchaser identification information for identifying a purchaser of the purchase product, and purchase date and time of the purchase product. The purchase history storage means stores the purchaser identification information indicating the same purchaser as the accessor indicated by the accessor identification information, the purchase date and time later than the access date and time, and the product indicated by the access product identification information. Purchase history including purchase product identification information for identifying a purchase product whose identity is equal to or higher than a standard is not stored,
The second condition includes: use member identification information for identifying a member of the payment means using the payment means, use date and time of the payment means, and use store identification information for identifying a store where the payment means is used. And the use store identification information associated with the sales product category identification information for identifying the category of the product sold by the store where the settlement means is used, and the use for identifying the category of the store where the settlement means is used. Use history storage means for storing a plurality of usage histories including at least one of store category identification information, usage member identification information that matches the member identification information, usage date and time later than the access date and time, and the category identification Use history including at least one of user store identification information associated with sales product category identification information that matches information and user store category identification information that matches the category identification information. Information processing program is characterized in that it has been.