JP6679689B2 - Information processing device and information processing method - Google Patents

Description

  The present invention relates to an information processing device and an information processing method, and more particularly to a technique of presenting recommended information regarding purchase-related settings when a user purchases a product.

When a user who uses so-called electronic commerce purchases a product, it is necessary to specify items such as a payment method and a delivery method. It is cumbersome to specify such items every time a product is purchased, and if the user specifies items without carefully checking, there is a possibility that the product will be delivered on an unintended day of the week and the product may not be received. There is.
In addition, for example, even if there is a credit card accompanied by a benefit that is most useful to the user, another credit card that is automatically set in advance is designated as it is at the time of purchase, and the user enjoys the benefit. You may not be able to.
As described above, it is disadvantageous for the user that the item related to the purchase is not properly selected.
In view of such a situation, for example, Patent Literature 1 shown below discloses a credit card that can receive the highest privilege from a plurality of credit cards when a plurality of types of credit cards correspond to the credit card used by the user. The automatic selection is described.

JP, 2009-93380, A

Incidentally, the designation mode (designation pattern) of the item designated by the user at the time of purchase is determined based on various conditions and situations. That is, as shown in Patent Document 1, the designation pattern is not always designated only to obtain the highest score.
The present invention has been made in view of such circumstances, and an object thereof is to provide an environment in which various setting items can be appropriately set based on various situations and conditions of a user.

An information processing device according to the present invention includes a purchase environment condition specifying unit that specifies a purchase environment condition related to a current purchase operation of a user using a terminal device, a specification item related to payment, a specification item related to delivery, or a specification item related to reception. Based on the history of the designated pattern specified by the user with respect to the purchase designated item including at least one of the following, and the correspondence information indicating the correspondence between the designated pattern and the purchase environment condition extracted from the history of the purchase environment condition. A designation pattern specifying unit that specifies the specified pattern corresponding to the current purchase environment condition specified by the environment condition specifying unit, and a presentation that recommends the specified pattern specified by the specified pattern specifying unit are provided to the user. And a presentation control unit that performs control as described above.
As a result, it is possible to recommend and present to the user the desired designated pattern specified based on the purchase behavior of the user.
The purchase environment condition, which is a condition regarding the environment when the purchase operation is performed, is a condition that is determined according to the history of purchase behavior and the behavior pattern of each user, and for example, the date and time when the purchase operation is performed by a certain user. , Day of the week, time of day, delivery type, payment history, whether or not various payment methods are selected, store (whether or not for the first time), type of terminal device performing purchase behavior, place of purchase operation, There are types of purchase purpose (for what, for whom, etc.), types of products targeted for purchase, amount of purchases, product prices, or types of shops.
The designated pattern is, for example, a designated pattern of various items designated in the purchase procedure, such as a payment method (cash on delivery, transfer, convenience store payment, card lump / split, etc.), delivery type, delivery date and time, delivery destination, receipt type, receipt date and time. It is.

The presentation control unit of the information processing apparatus described above may perform control to present a screen in a state where each of the purchase specified items is automatically selected based on a specified pattern specified according to a purchase environment condition of the user.
For example, on the screen where the user inputs purchase specification items, the specification pattern specified in the initial state is automatically selected.

The presentation control unit of the above-described information processing device may perform control to present that each purchase designation item is automatically selected based on a designation pattern.
For example, on the screen where the user inputs the purchase designation item, it is made clear to the user that, in the initial state, each purchase designation item is automatically selected based on the designation pattern automatically specified according to the purchase environment condition.

The purchase environment condition specifying unit of the information processing apparatus described above specifies, as the purchase environment condition, a main environmental condition that is a purchase environment condition for the user who is the subject of the purchase operation, and the specified pattern specifying unit The specified pattern may be specified based on the correspondence information indicating the correspondence relationship between the user's subjective environmental condition and the specified pattern.
The type of the purchase environment condition (subject environment condition) of the user who is the purchase subject and the designated pattern corresponding to the main environment condition are managed.
The specification pattern of the purchase specification item set by the user is often determined irrespective of the product or store that is the object of purchase. In such a case, it is possible to recommend and present to the user a desired designated pattern specified based only on information on the independent environmental conditions.

The independent environmental condition of the information processing apparatus described above is determined based on the history information of the user, and may be any one of a type of purchase date and time, a type of a place where the purchase operation is performed, and a type of matter related to delivery of the purchased product. It may be.
The type of purchase date and time includes, for example, the end of the month, the beginning of the month, the middle of the month, the time zone, and the day of the week. The type of place where the purchase operation is performed may be a type of terminal (a fixed terminal or a mobile terminal), a type of home / work, or a type of home / other than home. The types of items related to delivery are types such as a delivery method, a delivery destination, and a delivery date and time.

In the information processing apparatus described above, the specified pattern may be a condition relating to any one of a purchase price payment method, a credit card used for purchase price payment, and delivery of a purchased product.
The conditions of the purchase price payment method are, for example, conditions such as cash on delivery, transfer, convenience store payment, card lump sum / split payment, and the like. The condition of the credit card used to pay the purchase price is, for example, the type of the credit card used. The delivery conditions for the purchased product are conditions such as delivery method, delivery destination, delivery date / time designation, delivery time zone designation, and the like.

The purchase environment condition specifying unit of the information processing apparatus described above sets the purchase environment condition as a subjective environment condition that is a purchase environment condition of a user who is a subject of the purchase operation and an object of the purchase operation. Identifying an objective environmental condition that is a purchase environmental condition for a store and / or a product, and the designated pattern identifying unit associates a combination of the subjective environmental condition and the objective environmental condition of the user with a designated pattern. The specified pattern may be specified based on the correspondence information indicating a relationship.
The object environmental condition is, for example, the type of product that is an object of purchase, such as the type of product itself, the type of product genre, and the amount of purchase.

In the information processing apparatus described above, the objective environmental condition may be any type of a purchased product, a genre of the purchased product, a purchased store, and a purchased price.
The type of the purchased product may be the type of the product itself, and the genre of the purchased product may be, for example, household products or hobbies, or may be a more detailed type. The type of the purchase store may be the type of the store itself or the genre of the store. The purchase price type is, for example, a price range type.

An information processing method according to the present invention includes a purchase environment condition specifying step of specifying a purchase environment condition relating to a current purchase operation of a user using a terminal device, and a payment specification item, a delivery specification item, or a reception specification item. Based on the history of the designated pattern specified by the user with respect to the purchase designated item including at least one of the following, and the correspondence information indicating the correspondence between the designated pattern and the purchase environment condition extracted from the history of the purchase environment condition. A designation pattern specifying step for specifying the specified pattern corresponding to the current purchase environment condition specified in the environmental condition specifying step, and a presentation recommending the specified pattern specified in the specified pattern specifying step are provided to the user. The information processing apparatus executes the presentation control step of performing control as described above.
With this information processing method, it is possible to provide an environment in which various setting items can be appropriately set based on various situations and conditions of the user.

  According to the present invention, it is possible to provide an environment in which various setting items can be appropriately set based on various situations and conditions of a user.

FIG. 1 is an explanatory diagram of a network including an analysis server according to an embodiment of the present invention. FIG. 2 is a block diagram of a computer device that can be used in the embodiment. FIG. 3 is an explanatory diagram of a functional configuration of an analysis server according to the embodiment. It is a figure showing an example of information memorized by purchase history DB. It is a figure showing an example of information stored in correspondence information DB. It is a figure showing another example of the information memorized by correspondence information DB. FIG. 9 is a diagram for explaining the overall flow of processing. It is a figure for explaining the example of a purchase page. It is a flowchart of a specification pattern for presentation. It is a flowchart of correspondence information extraction processing. It is a figure showing the example of the purchase history used for new correspondence information extraction processing.

Hereinafter, each embodiment will be described with reference to the drawings.

<1. System configuration>

The overall configuration of the network system according to the present embodiment will be described with reference to FIG.
The network system 1 functions as an EC (EC: Electronic Commerce) system.
The network system 1 is configured such that a shopping site operation system 3, a plurality of user terminals 4, and a plurality of store terminals 5 can communicate with each other via a communication network 2 such as the Internet.

The configuration of the communication network 2 shown in FIG. 1 and the like is not particularly limited, and in addition to the Internet described above, for example, an intranet, an extranet, a LAN (Local Area Network), a CATV (Community Antenna TeleVision) communication network. , Virtual Private Network, telephone line network, mobile communication network, satellite communication network, etc. are assumed.
Also, various examples of transmission media constituting all or a part of the communication network 2 are assumed. For example, even wired such as IEEE (Institute of Electrical and Electronics Engineers) 1394, USB (Universal Serial Bus), power line carrier, telephone line, infrared rays such as IrDA (Infrared Data Association), Bluetooth (registered trademark), 802.11 wireless It can also be used wirelessly, such as mobile phone networks, satellite lines, and terrestrial digital networks.

The shopping site operating system 3 includes a shopping server 6, an analysis server 7, a member DB (Database) 50, a product DB 51, a store DB 52, a purchase history DB 53, and a correspondence information DB 54 each constituted by a computer device. These devices can communicate with each other via a network such as a LAN.
The network for enabling communication between the devices constituting the shopping site operation system 3 is not particularly limited as in the communication network 2.

  The shopping site operation system 3 provides a user with a website (shopping site) of a virtual shopping mall managed by the shopping server 6 or the like. A plurality of stores (member stores of the virtual shopping mall) exist in the shopping site. The staff of each store registers the merchandise of the own store in the shopping site operation system 3 (for example, the shopping server 6) via the computer device as the store terminal 5, so that information of various products in various stores can be stored in the shopping site. Uploaded on. The user can access a shopping site with the user terminal 4 and purchase a desired product.

Here, when using the shopping site, the user can register as a member to receive various services provided by the shopping site operating system 3. At the time of member registration, the user registers necessary information such as a user ID (Identification), destination information (address information) of a product, and a credit card number. When the user logs in to the shopping site using the registered user ID, the information required when purchasing a product on the shopping site (such as the delivery location and the date and time is the mode (pattern) of the item specified by the user at the time of purchase, Hereinafter, "designation pattern" will be omitted. The shopping server 6 performs various processes for managing these member information.
The process of extracting the optimal designated pattern for the purchase behavior performed by the user is executed by the analysis server 7 described later.

The shopping server 6 performs various processes based on the HTTP (Hypertext Transfer Protocol) request sent from the user terminal 4. For example, it generates and transmits various web page data (for example, a product web page, a shopping cart web page, an order web page, and the like), and executes a purchase process according to an order confirmation operation by a user.
The web page data is, for example, a structured document file such as HTML (Hyper Text Markup Language) or XHTML (Extensible HyperText Markup Language). In the structured document file, text data such as a product name and description, image data such as an image of the product, and their arrangement and display mode (character color, font, size, decoration, etc.) are described.
The web page is, for example, a login page for allowing the user to input login information, a search page for performing a product search, a product detail page for displaying detailed product information, or the like.

  On the web page provided by the shopping server 6, an input field for inputting a search query for product search is arranged as a search form, and the user can input a keyword for search to the search form. . A search button is arranged in the vicinity of the search form, and the user can give an instruction to execute a search based on an input keyword to the search form by operating the search button. In response to this execution instruction, the user terminal 4 makes a search request to the shopping server 6 using the input keyword as a search query. That is, the shopping server 6 plays a role as a so-called search server.

The shopping server 6 functions as a search engine, receives a search query specified by a search request from the user terminal 4, and searches the various product web pages managed by the shopping server 6 based on the search query. Is searched for, and the information is transmitted to the user terminal 4 as a search result.
As a result, the user terminal 4 can browse various product pages based on the search query specified by the user terminal 4 as a search result.

  The shopping server 6 performs a process of associating the product specified by the user with the virtual shopping cart, a purchase process regarding the product associated with the shopping basket, and a delivery process of the purchased product. As a result, it is possible to purchase products handled at the shopping site.

The analysis server 7 analyzes the correspondence from the history of the user's past purchasing behavior (purchasing environment conditions) and the specified pattern. That is, a process of analyzing a tendency regarding what kind of designated pattern the user has selected according to the situation from past data is performed.
Here, the purchase environmental conditions include those based on the user who is the subject of purchase (subjective environmental conditions) and those based on the product / store that is the object of purchase (objective environmental conditions).
The independent environmental conditions include, for example, the date and time of the purchase operation, the day of the week, the time zone, the delivery type, the delivery destination information, the payment history, whether or not various payment methods have been selected, and whether the store (for the first time or not) Etc.), the type of terminal device performing the purchase action, the place where the purchase operation is performed, and the type of the purchase purpose (purchase for what purpose, for whom), etc. The type is based on
The objective type is, for example, the type of a product that is the object of the purchase, such as the type of the product itself, the type of the product genre, the amount of purchase, and the price of the product. Further, the type of store that is the object of purchase may be used, such as the type of store itself or the genre of store.

In the process of extracting the correspondence between the purchase environment condition and the designated pattern performed by the analysis server 7, for example, from the past behavior history of the same user stored in the purchase history DB 53, what kind of purchase behavior is associated with the designated pattern is determined. Perform analysis processing. Further, based on the analysis result, the correspondence information in which the purchase behavior is associated with the designated pattern is stored in the correspondence information DB 54.
Specifically, for example, when the user performs a purchase operation around 20 days before the month, correspondence information indicating that the user tends to select installment payment using a credit card as a payment condition is stored in the correspondence information DB 54.
It should be noted that by automatically performing such an analysis process, the designated pattern that the user intentionally selects according to the mode of the purchase behavior is stored in the DB in association with the pattern. Furthermore, the correspondence of the designated pattern which the user has unintentionally selected according to the purchase environment condition is also extracted and stored in the DB as the correspondence information.

The analysis server 7 performs a process of specifying an optimal designated pattern to be presented to the user when a new purchase behavior occurs, based on the correspondence information extracted from the past behavior history. That is, a process for presenting various designated patterns to the user in a preselected state is performed in accordance with the new purchase environment condition performed by the user. Specifically, a designated pattern that is considered appropriate according to the purchase environment condition of the user is extracted from the corresponding information DB 54.
In the process of specifying the optimum designated pattern, the purchase behavior is analyzed from the viewpoint of subjective environmental conditions and objective types, and a process of presenting an appropriate designated pattern to the user according to the purchased environmental conditions is performed.

  The user terminal 4 is a computer device having software capable of browsing web pages. Examples of the user terminal 4 include a high-performance mobile phone (smartphone), a mobile phone, a personal digital assistant (PDA), and a portable or stationary personal computer (PC). The type of the terminal 4 is not limited to these.

  The user terminal 4 requests transmission of desired web page data and predetermined processing by transmitting an HTTP request to the shopping site operation system 3. In addition, the user terminal 4 receives the web page data transmitted in response to the HTTP request and displays the web page data using a web browser. Thereby, the user who uses the user terminal 4 can browse and operate a desired web page.

  The store terminal 5 is a terminal used by a seller who sells products by using the electronic commerce service provided by the shopping site management system 3.

In the user terminal 4 and the shop terminal 5, various transmission / reception processing and display processing are executed as needed. The user terminal 4 and the store terminal 5 are, for example, a PC, a feature phone, a PDA, or a smart device such as a smartphone or a tablet terminal having a communication function.
It should be noted that the user terminal 4 and the store terminal 5 only use names for convenience depending on whether the person using the person is in the position of purchasing the product or the person in the position of selling the product. The terminal configurations are the same.

<2. Hardware configuration of computer>

A hardware configuration of a computer device that configures each device including the shopping server 6 and the analysis server 7 (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54, user terminal 4, and store terminal 5). As shown in FIG. A CPU (Central Processing Unit) 101 of each computer device executes various processes according to a program stored in a ROM (Read Only Memory) 102 or a program loaded from a storage unit 108 to a RAM (Random Access Memory) 103. I do. The RAM 103 also appropriately stores data necessary for the CPU 101 to execute various processes.
The CPU 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input / output interface 105 is also connected to the bus 104.
An input unit 106, an output unit 107, a storage unit 108, and a communication unit 109 are connected to the input / output interface 105.
The input unit 106 includes a keyboard, a mouse, a touch panel and the like.
The output unit 107 is configured by a display including an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube), an organic EL (Electroluminescence) panel, and a speaker.
The storage unit 108 includes an HDD (Hard Disk Drive), a flash memory device, and the like.
The communication unit 109 performs communication processing and inter-device communication via the network 2.
A media drive 110 is also connected to the input / output interface 105 as needed, and a removable medium 111 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is appropriately mounted, and information can be written to the removable medium 111. Reading is performed.

In such a computer device, data and programs are uploaded and downloaded by communication by the communication unit 109. Also, data and programs can be transferred via the removable medium 111.
When the CPU 101 performs processing operations based on various programs, each device such as the shopping server 6 and the analysis server 7 (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54, user terminal 4, Necessary information processing and communication as the store terminal 5) are executed.
It should be noted that the information processing devices constituting each device such as the shopping server 6 and the analysis server 7 (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54, user terminal 4, and store terminal 5) are shown in FIG. The computer device as described above is not limited to be configured by a single device, but a plurality of computer devices may be systematically configured. The plurality of computer devices may be systematized by a LAN or the like, or may be arranged at a remote place by a VPN or the like using the Internet or the like. The plurality of information processing devices may include an information processing device as a server group (cloud) that can be used by a cloud computing service.

Each function of the information processing apparatus is a function realized by processing executed by the CPU 101 in the information processing apparatus according to a program. However, the processing of all or some of the components described below may be realized by hardware.
When each function is realized by software, each function does not need to be realized by an independent program. Processing of a plurality of functions may be executed by one program, or one function may be realized by cooperation of a plurality of program modules.
Further, each function may be distributed to a plurality of information processing devices. Further, one of the functions may be realized by a plurality of information processing devices.

<3. Functional configuration of analysis server>

FIG. 3 shows a functional configuration of the analysis server 7 including one or a plurality of information processing devices.
Each function as the analysis server 7 is a function realized by processing executed in accordance with a program by the CPU 101 in the information processing apparatus. However, the processing of all or some of the components described below may be realized by hardware.
When each function is realized by software, each function does not need to be realized by an independent program. Processing of a plurality of functions may be executed by one program, or one function may be realized by cooperation of a plurality of program modules.

The analysis server 7 includes an analysis processing unit 7a, a storage processing unit 7b, a purchase environment condition specifying unit 7c, and a designated pattern specifying unit 7d.
The analysis processing unit 7a performs an analysis process for extracting the purchase environment condition and the rule of the designated pattern from the history of the purchase behavior performed by the user in the past. By this analysis processing, for example, correspondence information is extracted such that a certain user has a strong tendency to make a lump-sum payment using a credit card for shopping performed at the beginning of the month.

  The storage processing unit 7b stores, in the correspondence information DB 54, the purchase environment condition and the rule of the designated pattern extracted by the analysis processing as correspondence information.

  The purchase environment condition specifying unit 7c performs a process for specifying the purchase environment condition for the purchase action when a new purchase action of the user occurs. This process is executed by receiving information from the shopping server 6, for example.

  The specified pattern specifying unit 7d receives the purchase environment condition specified based on the purchase behavior performed by the user, and performs a process of acquiring an appropriate specified pattern (corresponding specified pattern) from the corresponding information DB.

The presentation control unit 7e performs a process for presenting an appropriate designated pattern to the user. Specifically, with respect to various designated patterns that can be selected (or input) by the user on the purchase page presented to the user, presentation control is performed so that an appropriate designated pattern is selected in advance.
Note that such presentation control may be realized by both the shopping server 6 and the analysis server 7, or may be realized only by the analysis server 7. Furthermore, the shopping server 6 may have a similar function instead of the presentation control unit 7e.

<4. DB>

Various DBs included in the shopping site management system 3 will be described.

[4-1. Member DB]
In the member DB 50, information on users who use various services provided by the shopping site operation system 3 is stored for each user. For example, personal information such as a login password, name, age, sex, annual income, address, mail address, hobby and the like is stored in association with one user ID that can identify one user. Further, payment information, product purchase history, product favorite registration information, and the like may be stored. Of course, it is not always necessary that all of the information is associated with one user ID, and information that the user does not intend to disclose may not be stored.

[4-2. Product DB]
The product DB 51 stores information about each product that can be bought and sold through the shopping site management system 3. For example, for a product ID capable of uniquely identifying a product, a product genre, a product image, manufacturer (manufacturer) information, a model number information given by the manufacturer, a sales start date, a handled product provider information, stock information, A product introduction sentence and the like are linked and stored.
The information on the product image may be the image data itself or link information (URL (Uniform Resource Locator) information or the like) of the stored image data.
In addition, the product DB 51 may store, in addition to the above, a production location, product specifications (color, size, performance information), and the like.
The product DB 51 also stores web page data such as a product page.
Further, information about similar other products may be stored. For example, products that have the same product genre information that has been subdivided to some extent can be regarded as similar products that can be replaced. Such products are stored in the DB as similar products. Information on these similar products is used in processing for calculating a purchase interval, and the like.

[4-3. Store DB]
The store DB 52 stores information on member stores that are opening a shopping site.
For example, for a store ID that can uniquely identify each store, a login password, a store name, a store logo, a product ID of a handled product (product-specific code information assigned by the shopping site management system 3 for each product), Each information such as the product page URL, the price of each product, the URL of the store page, the contact information (telephone number, mail address, etc.) is associated and stored.
The product page URL is a URL assigned to each product page. If the same product is sold at different stores, different product page URLs are provided.
The information of the store logo may be the image data itself or link information (URL information) of the stored image data.
These pieces of information are registered by an operator in the shopping site operation system 3, an employee of the store, or the like.

[4-4. Purchase History DB]
The purchase history DB 53 stores a user's purchase history. Each record includes user ID information for specifying a user who has performed a purchase action with respect to the record ID, date and time information on which the purchase action was performed, terminal identification information for identifying a terminal on which the purchase operation was performed, Information, the product ID of the purchase target, the store ID indicating the purchase store, the product genre information of the purchased product, the product price at the time of purchase, the payment method, the credit card used, the delivery destination information, and the delivery method Information, desired delivery date and time information and the like are stored in association with each other.

This will be specifically described with reference to FIG.
FIG. 4 is a diagram in which each record stored in the purchase history DB 53 is collected for each user for easy understanding so that the records can be easily understood.

The record ID is, for example, an identifier assigned in the order in which the purchase behavior of the user has been performed. One record ID corresponds to one purchase behavior. Therefore, even if a plurality of types of products are purchased at once, they are stored as one record.
The day information is information indicating the date and time when the user performed a purchase action, and includes not only information on the date and time, but also information on weekdays, holidays, and holidays, and time zone information (such as daytime and nighttime). Information) may be stored.

The terminal identification information is information for identifying the terminal used by the user who performed the purchase action.
The position information is, for example, GPS (Global Positioning System) information for specifying a place where a purchase action is performed. This is information obtained when the user performs a purchase action using the mobile terminal. When the purchase behavior is performed using the user terminal 4 having no function for specifying the position information, the position information may not be stored.

  The product ID is information for specifying the product, and the store ID is for specifying the store where the product was purchased. However, even if the same product has a different product ID depending on the store, the store ID may not be stored.

The product genre is genre information to which the product belongs. For example, it may be information indicating a large classification such as "food products" or information that can specify up to a small classification such as "curry powder".
The purchase price is the product price at the time of purchasing the product.

The payment method is information for specifying whether a credit card is used or whether cash on delivery (cash on delivery) is used. When a credit card is used, information for further specifying installment payment or lump sum payment and the number of payments may be stored.
When the user has registered a plurality of credit cards in the shopping site operation system 3, the card information is information for specifying which credit card was used to purchase the product. This information may store a card number or the like, or may be information for acquiring used credit card information from another database in which credit card information is stored.

  The delivery destination information is information indicating a place designated by the user for receiving the purchased product, and may be an address, etc., or to obtain the relevant data from another database storing the delivery destination information. Information. As the delivery destination information, not only the home or work address of the user, but also store information that can be designated such as a convenience store may be stored.

The delivery method stores information for specifying a delivery company, information for specifying a mode of packing, information for specifying a delivery mode, and the like.
The delivery date and time is date and time information at which the user desires to receive the product. As the time, information of a time zone having a width of about 1 to 2 hours may be stored.

  In addition, information on whether or not it is free shipping, whether or not points were used for part of the payment, how many points were used, or how many points were obtained by this purchase behavior etc. It may be stored.

  The above-mentioned purchase environmental conditions include those based on the subjective environmental conditions and the objective environmental conditions. In other words, the purchase environmental conditions are combination information of each item shown in FIG.

Each piece of information such as date and time information linked to the ID of the record stored in the purchase history DB 53 includes information belonging to the subjective environmental condition and information belonging to the objective environmental condition. Also, information on the designated pattern is included.
Specifically, the date and time information, terminal identification information and position information, and information such as payment method, card information, delivery destination information, delivery method, and desired delivery date and time are information on the independent environmental conditions.
Further, the information on the product ID, the store ID, the product genre, and the purchase price is information about the objective environmental condition.
In addition, the payment method, card information, delivery destination information, delivery method, and desired delivery date and time are not only the environmental conditions of the subject but also the information about the designated pattern.

[4-5. Correspondence information DB]
The correspondence information DB 54 stores correspondence information between purchase environment conditions and designated patterns for each user.
This will be specifically described with reference to FIG.
In the figure, a part of the correspondence information (corresponding information A, B, C) set for the user U1 whose user ID is "xxxxxx" and the user U2 whose user ID is "xxxxxx" are set. A part of the correspondence information (correspondence information E, F) is shown as an example.

Each of the correspondence information A, B, C, E, and F stores a plurality of sets of information including a record ID, condition details, and a correspondence designation pattern as one set.
Specifically, the correspondence information A for the user U1 includes a set of information with a record ID = “P-A1” and a set of information with a record ID = “P-A2”. . In the following description, the set of information will be referred to as a “configuration record”. That is, the correspondence information A includes two configuration records.

The information of the record ID is an ID capable of uniquely specifying the constituent record, and it is possible to specify which user corresponds to which information by the record ID. That is, only one configuration record having the same record ID is included in the information stored in the correspondence information DB 54.
Note that, in the following description, when a record ID indicates a configuration record with “P-A1”, it is referred to as “configuration record P-A1”.

Both items of the condition details and the correspondence designation pattern are items that specifically represent the correspondence information extracted from the purchase history of the user.
The information of the condition details is information indicating a purchase environment condition of the user. For example, in the configuration record P-A1, in the purchase behavior in which the purchase time is set to 20 to 25 days a month, a certain rule was found in the specified pattern. Is shown.
The corresponding designated pattern indicates the rule of the designated pattern, and the configuration record P-A1 indicates that the payment method is the installment payment and that the credit card to be used is the card C1. That is, the user U1 often uses installment payment using the card C1 for the purchase behavior performed on the 20th to 25th every month.

  Each configuration record may be extracted only when 100% is applied, or may be extracted when applied at a relatively high rate such as 80%. That is, the configuration record P-A1 may be extracted because the installment payment using the card C1 is always used for the purchase behavior performed by the user U1 on the 20th to 25th of every month. Alternatively, the purchase behavior performed by the user U1 on the 20th to 25th of every month has been observed 10 times so far, and for the purchase behavior 8 times among them (that is, at a rate of 80% or more), the installment payment using the card C1 is made. The configuration record P-A1 may be extracted because it has been used.

  In the correspondence information A, as the configuration record P-A2, for the purchase behavior whose purchase time was set to a date and time other than 20 to 25 every month, the payment method was a lump-sum payment, and the credit card to be used was the card C1. Correspondence information is stored.

One configuration record is stored in the correspondence information B. The configuration record P-B1 is information indicating that there is a high possibility that the delivery destination DP1 will be selected in the case where the location information when the user U1 performs the purchase action is “LC1”.
Further, the correspondence information B does not describe a purchase behavior whose position information is other than “LC1”. This may be the case where the purchase behavior when the location information is other than “LC1” is inconsistent. In other cases, it may not be necessary to store the pattern in relation to the default setting of the specified pattern of the user U1.

Specifically, For example, the designated pattern for the user U1 has default settings, and the default setting of the delivery destination is the delivery destination DP2. In this case, under the conditions other than the specific condition, by adopting the default setting naturally, the condition for selecting the delivery destination DP2 does not have to be stored in the correspondence information DB 54.
The correspondence information B shows such an example. In the correspondence information A, if the default setting of the used card information is the card C1, the information of the configuration record P-A2 may not be stored.

Three or more configuration records may be stored in one piece of correspondence information. For example, the correspondence information C stores three configuration records P-C1, P-C2, and P-C3.
The configuration record P-C1 indicates that the purchase behavior performed using the information processing apparatus whose terminal identification information is “TID1” has a high possibility that the delivery destination DP1 is specified as the delivery destination.
Further, the configuration record P-C2 indicates that the purchase behavior performed using the information processing device whose terminal identification information is “TID2” is likely to specify the delivery destination DP2 as the delivery destination. .
Further, the configuration record PC-C3 indicates that the purchase behavior performed using the information processing apparatus whose terminal identification information is “TID3” has a high possibility that the delivery destination DP3 is specified as the delivery destination. .

Each constituent record associated with the same correspondence information is a condition that cannot be achieved at the same time. For example, the configuration record P-A1 and the configuration record P-A2 of the correspondence information A cannot be achieved at the same time because the condition details are incompatible.
Since each configuration record belonging to the same correspondence information is set to a condition that cannot be achieved at the same time, since a purchase action performed by the user does not correspond to a plurality of configuration records in one correspondence information, Each processing shown can be simplified.

However, conditions may overlap between different correspondence information.
For example, the configuration record P-B1 in the correspondence information B and the configuration record P-C2 in the correspondence information C may be simultaneously established.
That is, for example, the user U1 makes a purchase action using the user terminal 4 having the terminal identification information of "TID2" at the location where the position information is "LC1".

  According to the correspondence information B, since the location information is “LC1”, it is expected that the delivery destination DP1 is selected as the delivery destination. On the other hand, according to the correspondence information C, the delivery destination DP2 is expected to be selected as the delivery destination because the terminal identification information is “TID2”. Since the delivery destination is different between the delivery destination DP1 and the delivery destination DP2, it cannot be determined which correspondence information is appropriate.

Such a situation can occur, for example, when the user terminal 3 whose terminal identification information is “TID2” has not been used as a terminal performing a purchase action in a place where the position information is “LC1”. .
Then, when the user U1 performs a purchase action using the user terminal 4 whose terminal identification information is “TID2” in a place where the position information is actually “LC1”, the delivery is performed based on the correspondence information B. The state in which the information of the delivery destination DP1 is input to the destination information may be presented, or the state in which the information of the delivery destination DP2 is input to the delivery destination information based on the correspondence information C may be presented. In that case, priority may be given to the correspondence information B and the correspondence information C, respectively, and an appropriate selection may be made according to the priority.

Further, when the user U1 performs a purchase action and purchases a product using the user terminal 4 whose terminal identification information is “TID2” in a place where the position information is actually “LC1”, the user U1 It is desirable that the information in the correspondence information DB 54 shown in FIG. 5 be updated based on the delivery destination information selected at that time. At this time, it is desirable to update the database so that incompatible designation patterns are not extracted between different correspondence information.
That is, it is preferable to perform a process of deleting one of the configuration record P-B1 of the correspondence information B and the configuration record P-C2 of the correspondence information C. Alternatively, for example, one of the detailed condition information such as changing the detailed condition information of the configuration record P-B1 from “position information = LC1” to “other than position information = LC1 and terminal identification information = TID2” is changed. It is preferable that the conditions of the configuration record P-B1 and the configuration record P-C2 are not satisfied at the same time by making detailed settings.

  In the correspondence information DB 54, information on the user U2 (user ID: xxxxxx) as well as the user U1 is stored (see FIG. 5). For example, the correspondence information E stores that the delivery destination to be presented to the user differs depending on which day of the week the user purchases. Further, the correspondence information F stores that the payment method differs depending on whether the store used by the user is the first store used by the user.

Each piece of correspondence information stored in the correspondence information DB 54 shown in FIG. 5 is an example in which the condition details are all independent environmental conditions. That is, each of the configuration records belonging to the correspondence information A, B, C, E, and F has a designated pattern that the user will select in accordance with the information on the independent environmental condition of the purchase environmental condition of the purchase action performed by the user. It is a memorized one.
Thus, by using the correspondence information DB 54 shown in FIG. 5, it is possible to extract an appropriate designated pattern based on the user's independent element without depending on object information such as a product or a store. .
Although the correspondence information F is a condition relating to a store, it is information as to whether or not to use the store for the first time, and is different information (different classification) depending on the user. ing.

FIG. 6 shows an example of the correspondence information DB 54 different from that shown in FIG.
FIG. 6 is an example in which the detailed condition of each purchase record stores an appropriate designated pattern to be presented to the user based on both the subjective environmental condition and the objective environmental condition.

Specifically, in the correspondence information G, delivery destination information and payment method information to be presented to the user are stored in accordance with the terminal identification information as the subjective environmental condition and the product genre as the objective environmental condition. .
In the correspondence information H, when the terminal type (subjective environmental condition) is a smartphone and the product price (objective environmental condition) is high, the delivery destination DP6 is selected as the delivery destination and paid. It is stored that there is a high possibility that COD is selected as the method.

As described above, in the example of the correspondence information DB 54 illustrated in FIG. 6, the designated pattern selected by the user according to both the objective environmental condition and the independent environmental condition of the purchase behavior is stored as the correspondence information.
That is, a specified pattern selected according to not only environmental conditions such as a purchase date and time and position information of a user but also environmental conditions such as a store ID and a product genre is stored as a pattern. That is, the information is stored when the rule of the designated pattern is obtained in accordance with the objective environmental condition.
By using the correspondence information DB 54 shown in FIG. 6, the designated pattern that the user will select is appropriately estimated based on not only the user's initiative element but also the object element of the product or store. This can increase the possibility of presenting appropriate information to the user.

[4-6. Aspect of DB]
Each of these DBs (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54) is required by each information processing device (shopping server 6, analysis server 7, etc.) configuring the shopping site management system 3. It may be realized in any form as long as it is accessible. For example, all the DBs (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54) may be formed in the storage unit in the same system as the shopping site management system 3, or each DB (member DB 50). Part or all of the product DB 51, the store DB 52, the purchase history DB 53, and the correspondence information DB 54) may be provided separately or in a computer system such as a remote place. Of course, each DB (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54) need not be formed in one device (for example, one HDD). Further, each of the DBs (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54) does not need to be configured as one DB. For example, the information stored in the member DB 50 may be stored and managed by a plurality of member DBs (for example, a user DB for log-in and a user DB for storing user attribute information). Each of the DBs (member DB 50, product DB 51, store DB 52, purchase history DB 53, correspondence information DB 54) to be described below is an example in which the storage unit of the information related to the processing of the embodiment is exemplified by one DB. Not just.

<5. Each processing example>

Each process executed by the shopping server 6 and the analysis server 7 will be described with reference to the attached drawings.

<5-1. Overall processing flow>
First, the overall processing flow executed by the shopping server 6 will be described with reference to FIG.
Note that the processing flow illustrated in FIG. 7 is merely an example, and the order of the processing executed by the shopping server 6 in accordance with the operation of the user is different.

  When the user performs a login operation to use the electronic commerce service provided by the shopping site operation system 3, the user terminal 4 performs a login request process in step S101. In this process, the user ID and the login password input by the user are transmitted to the shopping server 6 together with the request information for executing the login process.

Shopping server 6, which has received the request information together with the user ID and the login password, executes an authentication process in step S201. In the authentication processing, for example, the user ID and the login password received from the user terminal 4 are compared with information stored in the member DB 50 to determine whether or not the user is allowed to log in, and the login availability information is notified to the user terminal 4. The login page information may be returned to the user terminal 4 and the web page data of the top page of the shopping site may be transmitted. As a result, user authentication is performed and the top page of the shopping site is displayed on the user terminal 4.
The series of flow shown in FIG. 7 shows a case where it is determined that login is possible in the authentication process of step S201. If it is determined in step S201 that the login is not possible, the user terminal 4 executes the processing of step S101 again, and in response, the shopping server 6 executes the processing of step S201.

  A user who has logged in to the shopping site can enjoy various services provided by the shopping site operating system 6 by performing various operations. At that time, the shopping server 6 executes the processes according to the various operations performed by the user, thereby providing the service. FIG. 7 omits these processes.

In response to the user performing an operation for displaying a product page, the user terminal 4 transmits a product page request to the shopping server 6 in step S102.
A product page is a web page on which detailed information of a product is posted, for example, by selecting a link for screen transition from a search result list web page on which a plurality of products are presented to a target product page. It can be displayed.

In step S202, the shopping server 6 that has received the product page request performs a process of acquiring web page data for the specified product page. The web page data may be stored in the product DB 51, or a web page database may be separately prepared and stored there.
Subsequently, in step S203, the shopping server 6 executes a process of transmitting web page data. By executing this process, the web page data of the designated product page is transmitted to the user terminal 4.

The user terminal 4 that has received the web page data performs a process for displaying the web page (that is, the product page specified by the user) related to the web page data on the screen of the user terminal 4 in step S103.
This allows the user to browse the specified product page.

Then, in response to the user's operation to purchase the product, the user terminal 4 executes a process of requesting a purchase page in step S104.
An example of the purchase page will be described with reference to FIG. The purchase page can be browsed using a web browser 10 operating on the user terminal 4.

The web browser 10 is provided with a web page display field 11, and various operators (buttons and input fields) 12, 12, 12, ...
In the web page display column 11 on which the search result presentation page is displayed, various information related to the purchase of the product is posted.
Specifically, delivery destination information 13, payment method information 14, orderer information 15, point usage information 16, coupon usage information 17, wrapping information 18, purchased product information 19, desired delivery date and time information 20, delivery method information 21, etc. Is posted in the web page display column 11.
The purchased product information 19 includes text information such as a product image 19a and price information.

The delivery destination information 13, payment method information 14, point use information 16, coupon use information 17, wrapping information 18, desired delivery date and time information 20, and delivery method information 21 are designated patterns.
These designated patterns are in a state where appropriate ones have been selected from the history of actions of the user on purchases so far. However, these designated patterns can be appropriately changed by the user. For example, the delivery destination information 13 can be changed from home information to work information.
For this purpose, a change button 22 is arranged for each display field of each designated pattern. Therefore, the user can change the target specified pattern by performing an operation of pressing the change button 22 for the specified pattern to be changed.

At the top of the web page display column 11, a purchase confirmation button 23 is arranged.
The user can confirm the purchase behavior based on the displayed designated pattern by pressing the purchase confirmation button 23.

  Note that, before transitioning to the purchase page shown in FIG. 8, a transition may be made to a shopping cart page in which product information before purchase is displayed. In that case, for example, by selecting a product to be purchased this time from the shopping cart page, the purchase page for the product (that is, the web page shown in FIG. 8) may be displayed.

Returning to the explanation of FIG.
In step S204, the shopping server 6 that has received the purchase page request performs a process of acquiring web page data of the purchase page. In this process, information is acquired from the DB in which the web page data is stored as described above.
In step S205, the shopping server 6 performs a process of acquiring a designated pattern for presentation. In this process, on a purchase page to be presented to the user, an optimal designated pattern to be presented to the user is acquired. In this processing, for example, when the shopping server 6 transmits an acquisition request to the analysis server 7, the analysis server 7 executes processing for specifying an optimal designated pattern, and as a result, the shopping server 6 transmits the specified pattern to the shopping server. 6 is received.
Each process performed by the analysis server 7 according to the process of step S205 will be described later.

  In step S206, the shopping server 6 generates web page data in a state in which the optimum designated pattern is selected for the user, and transmits the web page data to the user terminal 4 as purchase page data. At this time, the user may be notified that the optimal designated pattern has been automatically selected. For example, a word for notifying that the selection has been automatically made may be displayed on the purchase page data.

  The user terminal 4 having received the purchase page data executes a process of displaying the purchase page in step S105. By this processing, a purchase page in which an appropriate designated pattern is set is displayed on the screen of the user terminal 4 or the like.

Instead of the processing in steps S205 and S206, the shopping server 6 may transmit a program for acquiring an optimal designated pattern to the user terminal 4 in association with the web page data.
That is, the user terminal 4 that has received the web page data executes, in the display process of step S105, a process of using, for example, an API (Application Programming Interface) provided by the analysis server 7 as a program for acquiring the specified pattern. By doing so, the optimum designated pattern for the user may be acquired from the analysis server 7 and displayed in each display column (such as the delivery destination information 13).

  Subsequently, in response to the user performing an operation of pressing the purchase confirmation button 23 arranged in the purchase page illustrated in FIG. 8, the user terminal 4 performs a purchase operation accepting process in step S106. In this process, information such as a specified pattern specified by the user is transmitted to the shopping server 6.

In the shopping server 6, the purchase processing in step S207, the purchase history storage processing in step S208, and the correspondence information extraction processing in step S209 are sequentially executed.
In the purchase process, various processes for delivering the product purchased by the user to the user's hand are performed. That is, a delivery request is made to the delivery company, and information indicating that the product has been purchased is transmitted to the store where the product was purchased. Also, the web page data indicating that the purchase of the product has been completed may be transmitted to the user, and if necessary, an e-mail for notifying the user of the purchase completion may be transmitted.
The store may make a delivery request to the delivery company, and the shopping server 6 may be configured to transmit the delivery destination information and the information for specifying the product to the store.

In the purchase history storage process, information about the current purchase is stored in the purchase history DB 53 (see FIG. 4).
The correspondence information extraction process is a process for performing an analysis process for extracting new correspondence information according to the current purchase act. Specifically, an analysis processing request for extracting correspondence information is transmitted to the analysis server 7.

[5-2. Presentation specified pattern identification processing]
In step S205 of FIG. 7, the shopping server 6 executes a process of acquiring a designated pattern in order to present an optimal designated pattern to the user. In this process, the analysis server 7 is requested to perform a process of specifying an optimal designated pattern as a designated pattern for presentation.
In response to this request, the analysis server 7 executes the designated pattern for presentation shown in FIG.

In the specification pattern for presentation specification, first, in step S301, the analysis server 7 executes a purchase environment condition specification process. This process is a process of identifying the user's purchase environment condition by acquiring information on an operation (current purchase behavior) for purchasing a product performed by the user in step S104 in FIG.
Specifically, the information on the subjective environmental conditions such as the date and time information and the terminal identification information of the current purchase behavior and the information on the objective environmental conditions such as the product ID and the store ID targeted for the purchase are acquired. By doing so, the purchase environmental conditions for this time are specified.

  In step S302, the analysis server 7 selects one configuration record that constitutes one or a plurality of correspondence information stored in the correspondence information DB 54. In this example, an example will be described in which correspondence information extracted based on the independent environmental conditions of the purchase behavior shown in FIG. 5 is used. That is, for example, the configuration record P-A1 of the correspondence information A shown in FIG. 5 is selected.

In step S303, the analysis server 7 determines whether the current purchase environment conditions correspond to the detailed condition of the configuration record.
For example, when it is determined that the purchase environment conditions correspond to the details of the configuration record P-A1, such as that the purchase time is 22 days, the analysis server 7 extracts (acquires) the specified pattern from the configuration record in step S304. ). That is, the information indicating that the payment method is the installment payment and the information indicating that the credit card to be used is the card C1, which are the corresponding designation patterns of the configuration record P-A1, are acquired.

In step S305, the analysis server 7 determines whether or not the conflicting designated patterns have already been extracted. For example, in the purchase environment conditions of this time, a designated pattern of “the credit card to be used is card C1” is extracted, but has a conflicting designated pattern such as “the credit card to be used is card C2” already been extracted? Is determined.
If the conflicting designated patterns have been extracted (step S305: Y determination), the analysis server 7 performs a process of selecting one of the duplicated designated patterns in step S306. Specifically, in the above example, if the condition of “card C1” and the condition of “card C2” are redundantly extracted for the element of the designated pattern “credit card to be used”, one of them is selected. I do.

  When either one is selected, it may be selected at random, or the condition that has been applied more frequently from the past history may be selected. For example, the configuration record P-B1 forming the correspondence information B and the configuration record P-C2 forming the correspondence information C shown in FIG. DP2). When such a specified pattern is extracted together, a condition is selected based on the configuration record of the configuration record P-B1 and the configuration record P-C2, which has the higher number of applicable histories among the purchase histories so far. You may. That is, when there are 20 purchase histories corresponding to the configuration record P-B1 and there are only 3 purchase histories corresponding to the configuration record P-C2, the delivery destination DP1 is designated based on the configuration record P-B1. Is selected as

  Alternatively, the selection may be made in consideration of which delivery destination is likely to be selected in the entire purchase history of the user. In that case, weighting may be performed according to the date and time of the purchase history so that the tendency of the latest purchase history is easily reflected, and the designated pattern may be selected.

After selecting one from the redundantly extracted designated patterns, the analysis server 7 returns to the process of step S302 in step S307 if there is another configuration record, that is, if there is an unprocessed configuration record.
Even when it is determined in step S305 that the contradictory designated pattern is not extracted (N determination), the analysis server 7 proceeds to the determination process of step S307.

  On the other hand, when there is no other configuration record, in step S308, the analysis server 7 transmits each extracted specified pattern to the shopping server 6 as a designated pattern for presentation to be presented to the user.

  In the above description, an example is described in which one of the extracted designated patterns is selected each time the pattern is duplicated. However, in step S304, the designated pattern is extracted from the configuration record corresponding to the current purchase environment condition, and step S307 is performed. After it is determined that the processing has been completed for all the configuration records (N determination), one of the overlapping designated patterns may be selected. In this case, there are three overlapping designated patterns, and a process of selecting any one of the three designated patterns may be executed.

Further, as described above, a plurality of configuration records configuring one piece of correspondence information are set as conditions that are not satisfied at the same time. Therefore, for example, if the current purchase environment condition corresponds to the configuration record P-A1 of the correspondence information A, it does not correspond to the configuration record P-A2, and the configuration record P-B1 of the next correspondence information B is stored in step S302. , The processing can be simplified.

[5-3. Another Example of Specifying Designation Pattern for Presentation]
Another example of the designated pattern for presentation identification process will be described. In this example, the processing shown in FIG. 9 is executed by the analysis server 7 as in the previous example. However, it is assumed that the correspondence information DB 54 stores the correspondence information extracted based on the objective environmental conditions of the purchase behavior as shown in FIG.

That is, the configuration record selected in step S302 of FIG. 9 stores an appropriate designation pattern corresponding to the subjective environmental condition and the objective environmental condition in the purchase environmental condition of the user.
Therefore, since the specified pattern of the user is extracted including not only the subjective environmental condition but also the objective environmental condition (step S304), it is possible to present a more appropriate specified pattern for the user. In other words, by storing more detailed correspondence information in the correspondence information DB 54, it is possible to present a purchase page in a state where an appropriate designation pattern for each purchase mode is previously selected for the user.

  In addition, as an example in which the detailed condition of the configuration record includes the objective environmental condition, in addition to the example illustrated in FIG. That is, the correspondence information DB 54 may store that the purchase pattern when a specific product is purchased has regularity.

Further, the correspondence information extracted according to the independent environmental conditions shown in FIG. 5 and the correspondence information extracted according to both the subjective and objective environmental conditions shown in FIG. 6 are used for presentation. The designated pattern specifying process may be executed.

[5-4. Corresponding information extraction process]
In step S209 of FIG. 7, the shopping server 6 executes a process for extracting new correspondence information according to the user's current purchase behavior (that is, for specifying a new rule). In this process, the analysis server 7 is requested to perform a process of extracting new correspondence information.
The analysis server 7 executes the correspondence information extraction processing shown in FIG. 10 in response to this request.
In this process, in addition to extracting new correspondence information, processing for deleting correspondence information that no longer applies to the current user purchase mode is performed.

  The analysis server 7 acquires the purchase history information newly stored this time in step S401. This information may be received from the shopping server 6 together with the request, or may be acquired from the purchase history DB 53.

The analysis server 7 acquires relevant corresponding information from the corresponding information DB 54 in step S402. The related correspondence information is, for example, a configuration record in which the condition details match the subjective environmental condition and the objective environmental condition in the current purchase environmental condition in the configuration record configuring each corresponding information. For example, in the purchase behavior performed by the user U1 this time, if the purchase time is 22 days or the like, the configuration record P-A1 is acquired as the related correspondence information.
The acquired correspondence information is not limited to one and may be plural.

In step S403, the analysis server 7 executes a process of deleting the inappropriate information as the correspondence information. For example, an example of correspondence information registered by matching at a rate of 80% or more will be described with reference to FIG.
The configuration record P-B1 constituting the correspondence information B is registered because the purchase action with the location information being “LC1” has been performed 21 times so far, and 17 of the purchase actions have been selected because the delivery destination DP1 has been selected. Information. At this time, the probability that the delivery destination DP1 is selected from the purchase behavior whose location information is “LC1” is about 81% (17/21).
When the current purchase behavior (record ID = PR0022) is performed at the location where the position information is LC1, the configuration record P-B1 is acquired as related information in step S402.
However, when the delivery destination information selected in this purchase behavior is the delivery destination DP2, only the 17 times out of 22 matches the configuration record P-B1 including the current purchase behavior. In this case, the probability is less than 80% (approximately 77% = 17/22), which does not satisfy the appropriateness of the corresponding information, so that the corresponding information B is deleted from the corresponding information DB 54 (step S403).

  In this way, each time a new purchase history is stored in the purchase history DB 53, the correspondence information that has been extracted so far is reviewed, so that appropriate correspondence information that follows changes in the user's purchasing mode can be retained. It will be possible.

In step S404, the analysis server 7 executes a process of extracting new correspondence information.
This will be specifically described with reference to FIG. FIG. 11 is an excerpt of the purchase behavior in which the position information is “LC1”.

In the example shown in FIG. 11, in the state before the current purchase, the purchase environment condition where the position information is “LC1” and the product genre is “SG002” is four times (record ID = PR0010, PR0017, PR0018, PR0019). Among them, the delivery destination information set to the delivery destination DP2 is three times (record ID = PR0017, PR0018, PR0019). That is, when the location information is “LC1” and the product genre is “SG002”, the probability that the delivery destination DP2 is selected is 75%, which does not satisfy the appropriateness of the corresponding information, and is stored in the corresponding information DB 54. Not.
However, the purchase action this time is a purchase action in which the position information is “LC1” and the product genre is “SG002”, and the delivery destination DP2 is selected. That is, the purchase behavior of this time changes the probability of 75% (3/4) to 80% (4/5). This satisfies the appropriateness of the correspondence information, and is thus extracted as new correspondence information in step S404.

  In step S405, the analysis server 7 performs a process of storing the extracted new correspondence information in the correspondence information DB 54.

  In this example, an example was described in which the corresponding information that became inappropriate in step S403 was deleted from the corresponding information DB 54. However, a valid flag is stored for each configuration record, and the corresponding information is invalidated by turning off the flag. You may make it become. Thereby, when it is necessary to store the same correspondence information again, it is only necessary to change the valid flag from OFF to ON, so that the processing load is reduced.

Further, although the example in which the correspondence information extraction process is executed each time the purchase history increases has been described above, the correspondence information extraction process may be executed periodically. Since the frequency of execution of each process such as the process of extracting correspondence information can be reduced for a user who purchases frequently, the processing load can be reduced.

<6. Modification>

In the examples shown in FIGS. 5 and 6, an example in which the specification pattern is not included in the condition details of each configuration record has been described, but the specification pattern may be included in the condition details.
For example, the card information may be included in the condition details, and the correspondence designation pattern may be delivery destination information. That is, a purchase pattern in which the delivery destination differs depending on the credit card used may be stored as the correspondence information.
In this case, when the user presses the change button 22 of the payment method information 14 on the purchase page (see FIG. 8) presented to the user and changes the credit card, the change information is displayed on the shopping server 6. Then, the analysis server 7 is notified and the analysis server 7 performs the processing, whereby appropriate delivery destination information is specified, and the delivery destination information is automatically changed on the purchase page being presented to the user. At that time, a dialog or the like notifying the user that the delivery destination information has been changed is displayed so that the delivery destination information is not changed contrary to the user's intention, or the change is made before the change is automatically made. It is preferable to provide a display for selecting whether or not to perform the selection.

Note that a default designated pattern may be set for each user. That is, when an appropriate designated pattern cannot be extracted from the correspondence information DB 54, control can be performed so that a default designated pattern is presented to the user. In that case, at least some information about each item is presented to the user in a selected state, so that the user's input operation can be omitted and a highly convenient environment can be provided.
Specifically, a user who has performed a small number of purchase actions and has no corresponding information stored in the corresponding information DB 54 can be presented to the user with some information selected. In this case, for example, the designated pattern input by the user when the first purchase action is performed may be used as the default designated pattern.

Further, when the default designated pattern is set for each user, whether or not to adopt the default designated pattern may be determined for each item of the designated pattern. For example, when only appropriate delivery destination information corresponding to the current purchase environment conditions can be extracted from the correspondence information DB 54, the delivery destination information is presented to the user in a state where selection based on the extracted information has been performed and used. Other specified patterns such as card information and payment method may be presented in a state where a default specified pattern is selected.
As a result, any information on any item related to the specified pattern is presented to the user in a selected state, so that the user's labor of input operation can be saved.

  Further, the default designated pattern may be changed periodically. Specifically, a process of presenting the default designated pattern to the user and storing, as history, items changed from the default designated pattern until the purchase is actually performed. Then, it is preferable to extract a designated pattern having a high probability of being changed, review the default designated pattern, and reset a new default designated pattern based on the changed content. As a result, even if the purchase mode of the user changes, it is possible to increase the possibility that an appropriate designated pattern is presented to the user.

Further, the web page information browsed by the user up to the purchase page may be held as browsing history information, and the designated pattern that the user may select may be estimated based on the outside browsing history information. In this case, for example, the genre information, URL information, and the like of the web page viewed immediately before can be realized for the condition details of each configuration record stored in the correspondence information DB 54. .

<7. Summary>

As described in each of the above-described examples, the analysis server 7 includes the purchase environment condition specifying unit 7c that specifies the purchase environment condition related to the current purchase operation of the user using the terminal device (user terminal 4), and the specification related to payment. The history of the specified pattern specified by the user with respect to the purchase specified item including at least one of the item, the specified item related to delivery, or the specified item related to receipt, and the correspondence between the specified pattern extracted from the history of purchase environment condition and the purchase environment condition. The specified pattern specifying unit 7d that specifies the specified pattern corresponding to the current purchase environment condition specified by the purchasing environment condition specifying unit based on the corresponding information indicated by the user and the presentation that recommends the specified pattern specified by the specified pattern specifying unit are performed by the user. And a presentation control unit 7e that controls the display control to be performed on the display.
As a result, it is possible to recommend and present to the user the desired designated pattern specified based on the purchase behavior of the user.
The purchase environment condition, which is a condition regarding the environment when the purchase operation is performed, is a condition that is determined according to the history of purchase behavior and the behavior pattern of each user, and for example, the date and time when the purchase operation is performed by a certain user. , Day of the week, time of day, delivery type, payment history, whether or not various payment methods are selected, store (whether or not for the first time), type of terminal device performing purchase behavior, place of purchase operation, There are types of purchase purpose (for what, for whom, etc.), types of products targeted for purchase, amount of purchases, product prices, or types of shops.
The designated pattern is, for example, a designated pattern of various items designated in the purchase procedure, such as a payment method (cash on delivery, transfer, convenience store payment, card lump / split, etc.), delivery type, delivery date and time, delivery destination, receipt type, receipt date and time. It is.
The purchase behavior of the user has a certain degree of regularity according to the situation, environment, and the like. Such regularity is determined for each user, and corresponding information is stored in which the purchase environment condition and the designated pattern are stored in a pattern. Then, when a specific purchase behavior (purchase environment condition) of a certain user is detected, if there is a corresponding purchase environment condition, a specific designated pattern is selected with reference to the corresponding information. Then, when the correspondence between the purchase environment condition of the user and the designated pattern is found, the designated pattern corresponding to the purchase environment condition is presented. As a result, it is possible to reduce the troublesomeness associated with the user's designated pattern setting. Further, by appropriately constructing the correspondence information, it is possible to provide an environment in which an appropriate designated pattern can be presented based on various situations and conditions of the user.

As described in the overall processing flow and the like, the presentation control unit 7e performs control to present a screen in a state where each purchase specification item is automatically selected based on the specification pattern specified according to the purchase environment condition of the user. You may.
For example, on the screen where the user inputs a designated pattern, the designated pattern specified in the initial state is automatically selected.
As a result, it is possible to reduce the operation load related to the setting of the designated pattern by the user.

As described in the overall processing flow, the presentation control unit 7e may perform control to present that each purchase specification item is automatically selected based on the specification pattern.
For example, on the screen where the user inputs the designated pattern, the user is made aware that the designated pattern automatically specified in accordance with the purchase environment condition is automatically selected in the initial state.
Some users pay little attention to the initial state of the screen showing the selected state of the designated pattern. Therefore, in the initial state, it is clearly indicated that the designated pattern is automatically selected according to the purchase behavior of the user at this time, and whether or not the designated pattern is in accordance with the user's intention by confirming the designated pattern. Ask for confirmation. As a result, it is possible to reduce the operation burden related to the user's designation pattern setting and prevent the purchase operation from being set by the unwanted designation pattern setting.

As described in the example of the presentation specification pattern specifying process, the purchase environment condition specifying unit 7c specifies, as the purchase environment condition, the independent environment condition which is the purchase environment condition for the user who is the subject of the purchase operation. The specified pattern specifying unit 7d may specify the specified pattern based on the correspondence information indicating the correspondence between the user's independent environmental condition and the specified pattern.
The type of purchasing behavior (independent environmental condition) of the user who is the subject of purchase and the designated pattern corresponding to the initiative environmental condition are managed.
In many cases, the user's designated pattern is determined regardless of the product or store that is the object of purchase. In such a case, it is possible to recommend and present to the user a desired designated pattern specified based only on information on the independent environmental conditions.
Thus, by detecting the purchase behavior of the user, it is possible to select and present the designated pattern that the user may want. By presenting the designated pattern suitable for the purchase behavior to the user, the ease of the purchase operation is improved, and the processing load is reduced because information about the object (product or store) does not need to be considered.

As described in the example of the specified pattern for presentation specification processing, the subjective environmental conditions are determined based on the history information of the user, such as the type of purchase date and time, the type of place where the purchase operation was performed, and the delivery of the purchased product. May be any of the types of matters related to.
The type of purchase date and time includes, for example, the end of the month, the beginning of the month, the middle of the month, the time zone, and the day of the week. The type of place where the purchase operation is performed may be a type of terminal (a fixed terminal or a mobile terminal), a type of home / work, or a type of home / other than home. The types of items related to delivery are types such as a delivery method, a delivery destination, and a delivery date and time.
Types such as date and time of purchase, location, items related to delivery, and the like may change to some extent in the same tendency as the life cycle of the user.
For example, in the case of the purchase date and time, the selection of the payment method (one-time payment or installment payment) may change at the end of the month and the beginning of the month depending on the payday of the individual user and the circumstances of the credit card withdrawal date. As the type of the place where the purchase operation is performed, there is a user who sets the delivery destination at home when performing the purchase operation at home and sets the delivery destination at the work place when performing the purchase operation at work. As described above, the designation pattern often changes depending on the date and time or place as the purchase behavior of the user, and therefore, by presenting a suitable designation pattern according to the subjective environmental condition of such purchase behavior, A highly convenient purchasing service can be provided.

As described in the example of the correspondence information DB and the example of the designated pattern for presentation specification processing, the designated pattern is a condition relating to the purchase price payment method, the credit card used for the purchase price payment, and the delivery of the purchased product. May be.
The conditions of the purchase price payment method are, for example, conditions such as cash on delivery, transfer, convenience store payment, card lump sum / split payment, and the like. The condition of the credit card used to pay the purchase price is, for example, the type of the credit card used. The delivery conditions for the purchased product are conditions such as delivery method, delivery destination, delivery date / time designation, delivery time zone designation, and the like.
These conditions are items that are selected by the user in the purchase operation, but are often easy to estimate in particular according to the type of purchase behavior of the user. Therefore, by associating the information with the purchase environment condition as the correspondence information, it is possible to present a desired designated pattern to the user at the time of the purchase operation.

As described in another example of the presentation specification pattern specifying process, the purchase environment condition specifying unit 7c includes, as the purchase environment condition, an independent environment condition which is a purchase environment condition of a user who is a subject of the purchase operation; The objective environment condition which is the purchase environment condition for the store and / or the product which is the object of the purchase operation is specified, and the specification pattern specification unit 7d specifies and combines the user's independent environment condition and the object environment condition. The specified pattern may be specified based on the correspondence information indicating the correspondence with the pattern.
The object environmental condition is, for example, the type of product that is an object of purchase, such as the type of product itself, the type of product genre, and the amount of purchase.
By specifying and presenting the designated pattern corresponding to the combination of the subjective condition and the objective condition of the purchase behavior, an appropriate designated pattern can be presented to the user with higher accuracy.
For example, when purchasing a household item, a user checks what is lacking on a holiday and pays it with a card for family accounting, and when purchasing an item for personal hobby, a user for personal accounting at night on weekdays. In the case of purchasing behavior such as payment with a card, it is possible to accurately determine which card to use based on the initiative behavior and the type of object.

As described in another example of the presentation designated pattern specifying process, the objective environmental condition may be any type of purchased product, purchased product genre, purchase store, and purchase price.
The type of the purchased product may be the type of the product itself, and the genre of the purchased product may be, for example, household products or hobbies, or may be a more detailed type. The type of the purchase store may be the type of the store itself or the genre of the store. The purchase price type is, for example, a price range type.
Purchased products, genres of purchased products, purchase stores, purchase prices, and the like tend to have patterns such as, for example, card distinction, payment method distinction, and delivery destination distinction. Therefore, by using these objective environmental conditions together with the main purchase environmental conditions, it becomes easier for the user to determine a desired designated pattern.

The correspondence information is information in which information of a credit card used as a designated pattern and information for estimating the use of the credit card are stored in accordance with the purchase environment conditions of the user. The usage estimation information of the credit card may be used for specific processing of the specified pattern.
There are many users who use a plurality of credit cards, and there are many people who use different credit cards for different purposes. Assuming such a user, the usage is estimated for each credit card.
For a user who uses a plurality of credit cards properly, a specific credit card tends to correspond to a subjective environmental condition or an objective environmental condition related to a purchase behavior. Therefore, the specification pattern of which credit card to use can be estimated with high accuracy in accordance with the purchase environment conditions, thereby being convenient for the user. That is, on the screen of the purchase operation, an appropriate credit card desired by the user is selected in accordance with the purchase behavior of the user, and it is possible to save the user from having to select a credit card each time for proper use.
Here, by further estimating the use of the credit card, the credit card can be estimated and selected in consideration of the intended use. As a user's behavior pattern, the same thing is not always repeated, and irregular purchase behavior can naturally occur.
Therefore, by adding the integration between the estimated use of the credit card and the actually purchased product to the card selection element, it is possible to select a card with a higher system and to present the card at an initial stage.

Further, a process of estimating a use purpose for each credit card from a plurality of viewpoints may be performed.
For example, when analysis is performed from the viewpoint of the purchased product genre and the usage conditions for each genre do not match, the analysis is repeated from another viewpoint such as the purchased product price range and the purchase time range. If there is one that satisfies the condition, information on the intended use from that viewpoint is generated. Alternatively, it may be determined to be the use application from the viewpoint of the highest degree of condition matching.
By doing so, it is possible to improve the estimation accuracy of the intended use as compared to the case where only one viewpoint is analyzed (for example, only the viewpoint of the product genre).
There are various modes of proper use by the user. For example, it is not limited to use according to the product genre of household goods and hobby goods, but also includes use at high / low prices, use for personal / work, use at stores, and the like. By analyzing the usages from a plurality of viewpoints, it is possible to generate usage information according to the usage status of each user.

Furthermore, the usage estimation process may be performed again on the credit card in which the usage estimation information is stored.
The usage estimation for each credit card of the user is performed, for example, periodically or in accordance with the addition of a usage history.
In this way, the estimation of the usage for each credit card is performed once and again based on the usage history mode even once, so that it is possible to follow a temporal change in the usage mode of the credit card.
When the use estimation cannot be performed, the purchase page may be presented to the user in a state where the default designated pattern is selected. Thereby, since some information is presented to the user in a selected state, the trouble of the input operation can be saved.

<8. Program and storage medium>

The program according to the embodiment is a program that causes an arithmetic processing unit (CPU or the like) of the analysis server 7 to execute various processes.

The program according to the embodiment causes the arithmetic processing device to execute a purchase environment condition specifying function for specifying a purchase environment condition relating to a current purchase operation of a user using a terminal device.
In addition, a history of a designated pattern specified by a user with respect to a purchase designated item including at least one of a designated item related to payment, a designated item related to delivery, or a designated item related to receipt, and the designated pattern extracted from the history of the purchase environment condition. Based on the correspondence information indicating the correspondence between the purchase environment conditions, the arithmetic processing device executes a designated pattern identification function for identifying the designated pattern corresponding to the current purchase environment condition identified by the purchase environment condition identification function. .
Further, the processing unit is caused to execute a presentation control function of controlling the presentation of the specified pattern specified by the specified pattern specifying function to be performed to the user.
That is, this program is a program that causes the arithmetic processing unit of the information processing apparatus to execute each processing shown in FIGS. 9 and 10.

With such a program, one or a plurality of information processing apparatuses as the analysis server 7 described above can be realized.
Then, such a program can be stored in advance in a HDD as a storage medium built in a device such as a computer or a ROM in a microcomputer having a CPU. Alternatively, it can be stored (stored) temporarily or permanently in a removable storage medium such as a semiconductor memory, a memory card, an optical disk, a magneto-optical disk, or a magnetic disk. Further, such a removable storage medium can be provided as so-called package software.
Further, such a program can be installed from a removable storage medium to a personal computer or the like, or can be downloaded from a download site via a network such as a LAN or the Internet.

  Reference Signs List 1 network system, 2 communication network, 3 shopping site operation system, 4 user terminal, 5 store terminal, 6 shopping server, 7 analysis server, 7a analysis processing unit, 7b storage processing unit, 7c purchase environment condition specifying unit, 7d designation pattern Identification part, 7e Presentation control part, 53 Purchase history DB, 54 Correspondence information DB

Claims (8)

A purchase environment condition specifying unit that specifies a purchase environment condition related to the user's current purchase operation using the terminal device,
A history of a specified pattern specified by a user with respect to a purchase specified item including at least one of a specified item related to payment, a specified item related to delivery, or a specified item related to receipt, the specified pattern extracted from the history of the purchase environment condition, and the purchase A designated pattern specifying unit that specifies the specified pattern corresponding to the current purchase environment condition specified by the purchase environment condition specifying unit, based on the correspondence information indicating the correspondence between the environmental conditions;
A presentation control unit that controls the presentation that recommends the specified pattern specified by the specified pattern specifying unit to be performed on the user ,
The purchase environment condition specifying unit includes:
As the purchase environmental condition, the main environmental condition that is the purchase environmental condition for the user who is the subject of the purchase operation is specified,
The designated pattern specifying unit,
Identifying the specified pattern based on the correspondence information indicating the correspondence between the independent environmental condition and the specified pattern of the user,
The information processing device in which the proactive environmental condition is one of the type of purchase date and time, the type of place where the purchase operation is performed, and the type of item related to delivery of the purchased product, which is determined based on the history information of the user. . A purchase environment condition specifying unit that specifies purchase environment conditions related to the current purchase operation of the user using the terminal device;
A history of designated patterns designated by the user for purchase designated items including at least one of designated items related to payment, designated items related to delivery, and designated items related to receipt, and the designated pattern extracted from the history of the purchase environmental condition and the purchase A specified pattern specifying unit that specifies the specified pattern corresponding to the current purchase environment condition specified by the purchase environment condition specification unit, based on correspondence information indicating a correspondence relationship of environmental conditions;
A presentation control unit that controls the presentation that recommends the specified pattern specified by the specified pattern specifying unit to be performed on the user,
The purchase environment condition specifying unit includes:
As the purchase environment condition, a subjective environment condition that is a purchase environment condition for the user who is the subject of the purchase operation and an object environment condition that is a purchase environment condition for the store and / or the product that is the object of the purchase operation. Identify environmental conditions,
The designated pattern specifying unit,
The specified pattern is specified based on the correspondence information indicating the correspondence between the combination of the subjective environmental condition and the objective environmental condition of the user and the specified pattern.
Information processing equipment. The said presentation control part performs the control which presents the screen of the state which selected each said purchase designated item automatically based on the designated pattern specified according to the said purchase environmental condition of the said user . The information processing device according to 1. The information processing apparatus according to any one of claims 1 to 3 , wherein the presentation control unit performs control for presenting that each of the purchase specification items is automatically selected based on a specification pattern. The information processing apparatus according to any one of claims 1 to 4 , wherein the specified pattern is a condition relating to any of a purchase price payment method, a credit card used for payment of the purchase price, and delivery of a purchased product. The information processing device according to claim 2 , wherein the objective environmental condition is any one of a purchased product, a genre of the purchased product, a purchased store, and a purchased price. A purchase environment condition specifying step of specifying a purchase environment condition relating to the current purchase operation of the user using the terminal device;
A history of a specified pattern specified by a user with respect to a purchase specified item including at least one of a specified item related to payment, a specified item related to delivery, or a specified item related to receipt, the specified pattern extracted from the history of the purchase environment condition, and the purchase A designation pattern identification step of identifying the designation pattern corresponding to the current purchase environment condition identified in the purchase environment condition identification step based on the correspondence information indicating the correspondence relationship of the environmental conditions;
A presentation control step of controlling the presentation that recommends the specified pattern specified in the specified pattern specifying step to be performed for the user ,
In the purchase environment condition specifying step, as the purchase environment condition, a subject environment condition that is a purchase environment condition of a user who is a subject of the purchase operation is specified,
In the specified pattern specifying step, the specified pattern is specified based on the correspondence information indicating the correspondence between the independent environmental condition of the user and the specified pattern,
The proactive environmental condition is determined to be one of the type of purchase date and time, the type of place where the purchase operation was performed, and the type of item related to delivery of the purchased product, which is determined based on the history information of the user.
An information processing method executed by the information processing device. A purchase environment condition specifying step of specifying a purchase environment condition relating to the current purchase operation of the user using the terminal device;
A history of a specified pattern specified by a user with respect to a purchase specified item including at least one of a specified item related to payment, a specified item related to delivery, or a specified item related to receipt, the specified pattern extracted from the history of the purchase environment condition, and the purchase A designation pattern identification step of identifying the designation pattern corresponding to the current purchase environment condition identified in the purchase environment condition identification step based on the correspondence information indicating the correspondence relationship of the environmental conditions;
A presentation control step of controlling the presentation that recommends the specified pattern specified in the specified pattern specifying step to be performed for the user,
In the purchasing environment condition specifying step, as the purchasing environment condition, a subjective environment condition which is a purchasing environment condition of a user who is a subject of the purchase operation, and a store and / or a product which is an object of the purchase operation Identify objective environmental conditions that are purchase environmental conditions for,
In the specified pattern specifying step, the specified pattern is specified based on the correspondence information indicating the correspondence between the combination of the subjective environmental condition and the objective environmental condition of the user and the specified pattern.
An information processing method executed by an information processing apparatus.

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