JP2023003989A - Information processing system, information processing method, and program - Google Patents

Abstract

To provide an information processing system for managing purchased commodities, an information processing method, and a program.SOLUTION: In a server apparatus 20 of an information processing system, a purchase data extraction unit 212 analyzes e-mail acquired by an e-mail acquisition unit, the e-mail being transmitted from multiple stores for e-commerce to a user, to extract purchase commodity information indicating commodities purchased by the user from the stores. A commodity-in-hand list generation unit 213 generates a commodity-in-hand list that stores the purchase commodity information indicating commodities purchased by the user, in association with the user, and a list of possession information by category.SELECTED DRAWING: Figure 3

Description

The present invention relates to an information processing system, an information processing method, and a program.

Patent Literature 1 describes acquisition of purchase information from mail data for marketing purposes.

Japanese Unexamined Patent Application Publication No. 2020-181580

However, in the system described in Patent Literature 1, although the user (paneler) can obtain benefits, the purchase information cannot be utilized for the user.

SUMMARY OF THE INVENTION The present invention has been made in view of such a background, and an object of the present invention is to provide a technology capable of managing purchased products.

The main invention of the present invention for solving the above problems is an information processing system, comprising: an e-mail acquisition unit for acquiring e-mails from a plurality of e-commerce stores to a user; an extraction unit for extracting purchased product information indicating products purchased by the user from the store; an inventory list for storing the purchased product information indicating the products purchased by the user in association with the user; and a list output unit that outputs a list of the possession information.

Other problems disclosed by the present application and solutions thereof will be clarified by the section of the embodiment of the invention and the drawings.

According to the present invention, purchased products can be managed.

It is a figure showing the whole example of composition of the information processing system concerning this embodiment. 2 is a diagram illustrating an example hardware configuration of a server device 20; FIG. 3 is a diagram showing an example of the software configuration of the server device 20; FIG. It is a figure explaining an example of e-mail data. It is a figure explaining the creation process of the property list|wrist by an information processing system. It is a figure explaining recommendation processing of goods by an information processing system.

<Overview of the invention>
The contents of the embodiments of the present invention are listed and explained. The present invention has, for example, the following configurations.
[Item 1]
an e-mail retriever for retrieving e-mails for a user from multiple e-commerce stores;
an extraction unit that analyzes the e-mail and extracts purchased product information indicating products purchased by the user from the store;
a property list that stores the purchased product information indicating the product purchased by the user in association with the user;
a list output unit for outputting a list of the possession information by category;
An information processing system comprising:
[Item 2]
The information processing system according to item 1,
further comprising a rule storage unit that stores rules for each store;
the extraction unit extracting the product from the email by applying the rule corresponding to the store;
An information processing system characterized by
[Item 3]
The information processing system according to item 1 or 2,
a product information storage unit that stores whether each product corresponds to a consumable item;
a property list creation unit for registering in the property list items of the purchased product information that do not correspond to the consumables;
An information processing system, further comprising:
[Item 4]
The information processing system according to any one of items 1 to 3,
a sales information storage unit that stores the sales price of the product for each store;
a product determination unit that determines the product to be recommended to the user based on the purchased product information;
a store determining unit that determines the store to be recommended to the user according to the selling price corresponding to the determined product;
a recommendation unit that recommends the product and the store to the user;
An information processing system, further comprising:
[Item 5]
retrieving emails to a user from multiple e-commerce stores;
analyzing the e-mail to extract purchased product information indicating products purchased by the user from the store;
a step of storing the purchased product information indicating the product purchased by the user in association with the user;
a step of outputting a list of the ownership information by category;
An information processing method characterized in that the information processing device executes
[Item 6]
retrieving emails to a user from multiple e-commerce stores;
analyzing the e-mail to extract purchased product information indicating products purchased by the user from the store;
a step of storing the purchased product information indicating the product purchased by the user in association with the user;
a step of outputting a list of the ownership information by category;
A program for causing an information processing device to execute

<System Overview>
An information processing system according to an embodiment of the present invention will be described below. The information processing system of this embodiment is intended to manage products (which may be tangible objects or digital data) purchased by users. The information processing system of the present embodiment may be a store related to electronic commerce (EC) (anything that can be a subject that sells products, such as an EC site or an online shopping mall) (It may be a store, or an individual who sells things.) When a user purchases a product, an e-mail sent from the store to the user is utilized. Transaction histories sent by e-mail have the same meaning as receipts in the real world. In the present embodiment, it is possible to confirm transaction details from such e-mails and create a list of products owned by the user.

FIG. 1 is a diagram showing an example of the overall configuration of an information processing system according to this embodiment. The information processing system of this embodiment includes a server device 20 . The server device 20 is communicably connected to the user terminal 10 and the mail server 30 via the communication network 40 . The communication network is, for example, the Internet, and can be constructed by a public telephone line network, a mobile telephone line network, a wireless communication channel, Ethernet (registered trademark), or the like.

The user terminal 10 is a computer operated by a user who is a product purchaser. The user terminal 10 is, for example, a smart phone, a tablet computer, a personal computer, or the like. The user terminal 10 has, for example, a web browser function. By operating the web browser on the user terminal 10, the user can purchase products through online shopping and browse paid content.

The mail server 30 is a computer that manages e-mails. The e-mail server 30 is a so-called MRA (Mail Retrieval Agent), has mailboxes, and can provide e-mails delivered to the mailboxes by protocols such as IMAP and POP, for example.

The server device 20 is a computer that manages products purchased by users. The server device 20 accesses the mail server 30, automatically acquires and analyzes the user's e-mail, and manages the products purchased by the user. The server device 20 may be a general-purpose computer such as a workstation or personal computer, or may be logically implemented by cloud computing.

<Server Device 20: Hardware>
FIG. 2 is a diagram showing a hardware configuration example of the server device 20. As shown in FIG. Note that the illustrated configuration is an example, and other configurations may be employed. The server device 20 includes a CPU 201 , a memory 202 , a storage device 203 , a communication interface 204 , an input device 205 and an output device 206 . The storage device 203 is, for example, a hard disk drive, solid state drive, flash memory, etc., which stores various data and programs. The communication interface 204 is an interface for connecting to the communication network 3, and includes, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, and a wireless communication device for performing wireless communication. , a USB (Universal Serial Bus) connector and an RS232C connector for serial communication. The input device 205 is, for example, a keyboard, mouse, touch panel, button, microphone, etc. for inputting data. The output device 206 is, for example, a display, printer, speaker, or the like that outputs data. Each functional unit of the server device 20, which will be described later, is implemented by the CPU 201 reading a program stored in the storage device 203 into the memory 202 and executing it. is implemented as part of the storage provided by

<Server Device 20: Software>
FIG. 3 is a diagram showing a software configuration example of the server device 20. As shown in FIG. The server device 20 includes an e-mail acquisition unit 211, a purchase data extraction unit 212, a property list creation unit 213, a property list transmission unit 214, a recommended product determination unit 215, a recommended store determination unit 216, a recommendation unit 217, and a sales information registration unit 218. , an authentication information storage unit 230 , a purchase data storage unit 231 , a rule storage unit 232 , a product information storage unit 233 , a sales information storage unit 234 , and a property list storage unit 235 .

<Memory unit>

The authentication information storage unit 230 stores authentication information used for user authentication in the mail server. The authentication information storage unit 230 can store information specifying the mail server 30 and authentication information (for example, an account name and password) in association with a user ID indicating a user. The authentication information storage unit 230 can register a plurality of mail servers and authentication information sets in association with one user ID.

The purchase data storage unit 231 stores information about purchased products (hereinafter referred to as purchase data). The purchase data includes a purchase ID that is identification information of the purchase data, a user ID that indicates the user who purchased the product, the date and time when the user purchased the product, the product ID that indicates the purchased product, and the store that indicates the store where the product was purchased. Can include name, payment amount, shipping, etc. These can be obtained from an e-mail sent by a seller (store) such as an EC site to a user who is a purchaser as information for confirmation. The purchase data can also include store product identification information. The store product identification information is information for identifying the product purchased by the user at the store. Store product specific information is used to access products (digital content) purchased by users at stores that sell digital content (including only viewing rights and usage rights) as products, such as e-book provision services. information. The store product identification information can be represented by, for example, a URL, and this URL can be given the product identification information in the store as an argument.

The rule storage unit 232 stores rules for analyzing email data. The rule storage unit 232 can store rules for each store. A rule may be, for example, a learning model learned by machine learning of e-mail data.

The rule storage unit 232 can also store an object (store judgment object) for judging that the e-mail data is from the store and a pattern for judging in association with the store. The store determination target may be, for example, the title of the e-mail data or the sender (From header). For example, the store determination target is the mail address of the sender, and the pattern of the address that is the sender of the email (it may be the address itself, or the pattern expressed by the regular expression etc.) may be specified. Can be set to the store discrimination pattern. Also, a plurality of parts included in the e-mail data, such as the header and body, may be subject to store determination.

The product information storage unit 233 stores information about products (hereinafter referred to as product information). The product information stored by the product information storage unit 233 may include a product name, a user's purpose related to the product, a product category, and a consumables flag in association with the product ID that identifies the product. The product name may have a pattern that allows identification of variations in the notation of the product. Multiple objectives can be set. For example, it is possible to set the purpose of "writing" and "decoration" for a ballpoint pen. Categories can be set for each purpose. A category may have a plurality of hierarchies, and for example, large classification, medium classification, small classification, etc. can be set. The consumables flag is information indicating whether or not the product corresponds to consumables. In addition, product information may include product attributes. The attribute may be, for example, information (demographic information, etc.) specifying a user segment assumed by this product, or information (segment information) for specifying a user or segment who likes this product. The segment information can be a feature quantity common to users corresponding to purchase data including a product ID.

The sales information storage unit 234 stores information on products sold at the store (hereinafter referred to as sales information). The sales information can include a sales price at which the product is sold at the store in association with a product ID that identifies the product and a store ID that indicates the store that sells the product. Sales information can also include sales conditions. Sales conditions can be, for example, conditions for specifying users who can purchase, for example, that they live in a specific area, that the number of purchases of the product in the past is less than a threshold, etc. Conditions can be set.

The property list storage unit 235 stores a list of products owned (presumed) by the user (hereinafter referred to as a property list). The inventory list can include product IDs indicating products owned by the user in association with user IDs indicating the user. The inventory list can also include a purchase ID that identifies purchase data when the item was purchased.

<Function part>
The e-mail acquisition unit 211 acquires e-mail data addressed to the user. The e-mail acquisition unit 211 can access the mail server 30 and acquire e-mail data from the user's mailbox according to protocols such as POP (Post Office Protocol) and IMAP (Internet Message Access Protocol). The e-mail acquisition unit 211 can access the mail server 30 corresponding to the user ID and receive authentication from the mail server 30 using the authentication information stored in the authentication information storage unit 230 .

The purchase data extraction unit 212 analyzes the e-mail data and extracts purchase data related to the product purchased by the user. Among the e-mail data, those related to the purchased product contain information (purchase data) related to the product. The e-mail data related to the purchased product is, for example, an e-mail sent from the EC site to the user for confirmation after the user purchases the product on the EC site. A user can confirm what and when he purchased products purchased from various product or service providers by looking only at e-mail data without being conscious of the servers of each provider. The purchase data extraction unit 212 uses the store discrimination target and the store discrimination pattern registered in the rule storage unit 232, for example, depending on whether the store discrimination pattern matches the part indicated by the store discrimination target of the e-mail. , stores can be identified, and purchase data can be extracted from the email data according to rules corresponding to the identified stores. For example, the purchase data extraction unit 212 can read from the rule storage unit 232 a rule corresponding to an address pattern that matches the sender's address included in the e-mail data.

The purchase data extraction unit 212 extracts purchase data by applying all the rules stored in the rule storage unit 232 so that the rule storage unit 232 does not store store discrimination targets and store discrimination patterns. can be used, in which case the store name corresponding to the successful rule can be specified. By extracting purchase data from e-mail data, the purchase data extraction unit 212 can acquire a wide variety of purchase data from e-mails without accessing the servers of providers such as various e-commerce sites. .

FIG. 4 is a diagram illustrating an example of e-mail data. FIG. 4 shows an example of a purchase notification mail 31, which is an electronic mail notified when a product is purchased on an EC (electronic commerce) site. The purchase notification mail 31 contains text data indicating the date and time 311 when the product was purchased, the product name 312 of the purchased product, and the transaction amount 313 (including the payment amount and shipping fee for the product). The purchase data extractor 212 can extract these data from the e-mail data according to the rules and create the purchase data 32 based on the extracted data. The purchase data extraction unit 212 can identify the product ID corresponding to the product name 312 from the product information storage unit 233 .

The purchase data extraction unit 212 can register the purchase data extracted from the e-mail in the purchase data storage unit 231 .

The property list creation unit 213 creates a list of products owned by the user (property list). The inventory list creation unit 213 reads the product information corresponding to the product ID included in the purchase data corresponding to the user ID from the purchase data storage unit 231, and reads out the user ID, the product ID of the product information, And records associated with purchase data and purchase IDs can be added to the inventory list. The property list creation unit 213 can create a property list for each category of product information.

The property list creation unit 213 may include only products whose consumable item flag in the product information is “false” (a value indicating that the item is not a consumable item) in the property list.

In addition, the inventory list creating unit 213 may include in the inventory list only products related to purchase data corresponding to a specific store, regardless of the product category. Also, products related to purchase data corresponding to a specific store may be grouped into a property list by product category.

In addition, the inventory list creation unit 213 may include items related to purchase data corresponding to a specific store and similar stores in the inventory list. The similarity of stores can be determined based on the similarity of store attributes, for example, by providing the server device 20 with a store information storage unit that manages store attributes.

In addition, the inventory list creation unit 213 determines that the time from the date and time of the purchase data to the current date and time is the purchase span ( If the threshold corresponding to the period from the purchase of an item to the next purchase of the same item is exceeded, it may not be added to the inventory list. The purchase span can be obtained by analyzing the purchase data (for example, purchase data relating to the same product is arranged in chronological order and the average value of the two adjacent purchase data periods is calculated).

The property list transmission unit 214 transmits the property list to the user terminal 10 .

The recommended product determination unit 215 determines products to be recommended to the user (hereinafter referred to as recommended products). The recommended product determination unit 215, for example, identifies the product whose purchase span (or a period obtained by subtracting a predetermined time from the purchase span) has elapsed from the date and time of the latest purchase data, and determines the identified product as a recommended product. You may do so.

For example, the recommended product determination unit 215 may receive a sales promotion instruction from an advertiser or the like and determine a product to be a sales promotion target as a recommended product. In this case, the recommended product determination unit 215 may receive designation of a segment from the user together with the product to be promoted, and may determine recommended products only for users belonging to the received segment.

The recommended product determination unit 215 can also determine recommended products using general recommendation processing.

The recommended store determining unit 216 determines a store to be recommended to the user (hereinafter referred to as a recommended store). The recommended store determination unit 216 can, for example, acquire the sales prices corresponding to the recommended products from the sales information storage unit 234 and determine a predetermined number of stores as recommended stores in descending order of sales prices. In addition to the selling price, other information about the store (for example, word-of-mouth evaluation value for the store) may be taken into consideration. Also, the recommended store determining unit 216 may include the store included in the purchase data (that is, the store where the user has purchased in the past) in the recommended store.

The recommendation unit 217 proposes recommended products to the user. The recommendation unit 217 can also propose a recommendation store to the user. In this embodiment, the recommendation unit 217 can transmit the recommended product to the user terminal 10 together with the recommendation store.

The sales information registration unit 218 creates and updates sales information. For example, the sales information registration unit 218 can accept input of sales information from the operator of the server device 20 and newly register or update the sales information in the sales information storage unit 234 . The sales information registration unit 218 may also access a store such as an EC site and acquire the sales price of the product from the sales page of the product by, for example, scraping. The sales information registration unit 218 can also obtain the selling price of the product by calling the API when a store such as an EC site provides the API.

<Action>
FIG. 5 is a diagram for explaining the property list creation processing by the information processing system.

The server device 20 acquires the user's e-mail data (S401), analyzes the acquired e-mail data to extract purchase data (S402), and registers the extracted purchase data in the purchase history storage unit 231 (S403). ).

The server device 10 creates a property list from the purchase data (S404). The server device 10 may, for example, put only items that are not consumables into the inventory list. The server device 10 transmits the property list to the user terminal 10 (S405). The property list may be transmitted in response to a request from the user terminal 10. FIG.

As described above, according to the information processing system of the present embodiment, it is possible to automatically create a list of products owned by the user simply by linking e-mails. Since purchase data extracted from e-mails from a plurality of stores is used, for example, independently purchased videos from a plurality of video distribution services can be aggregated and displayed in one place. Similarly, e-books purchased from multiple e-book services can be aggregated and displayed in one place.

FIG. 6 is a diagram for explaining product recommendation processing by the information processing system.

The server device 20 estimates the purchase interval for each product based on the purchase data for the same product corresponding to the user ID stored in the purchase data storage unit 231 (S421). As described above, for each pair of adjacent purchase data arranged in order of date and time, the period between the date and time of the two purchase data is obtained, and the aggregate value (e.g., average value, median value, etc.) of that period is estimated as the purchase span. can do.

The server device 20 determines a recommended product according to the elapsed time from the date and time of the latest purchase data to the current date and time and the purchase span (S422). For example, if the time obtained by subtracting a predetermined time from the purchase span has passed, the product may be determined as a recommended product.

The server device 20 reads the sales price of each store for the recommended product from the sales information storage unit 234 (S423), and determines the recommended store according to the sales price (S424). For example, a predetermined number of stores can be determined as recommended stores in descending order of selling price. The server device 20 can also determine a store included in past purchase data as a recommended store.

The server device 20 can transmit the recommended product together with the recommended store to the user terminal 10 to recommend the recommended product and the recommended store (S425).

As described above, according to the information processing system of the present embodiment, it is possible to recommend a store that sells products at a low price when proposing products to the user.

Although the present embodiment has been described above, the above-described embodiment is intended to facilitate understanding of the present invention, and is not intended to limit and interpret the present invention. The present invention can be modified and improved without departing from its spirit, and the present invention also includes equivalents thereof.

10 user terminal 20 server device 30 mail server 211 e-mail acquisition unit 212 purchase data extraction unit 213 property list creation unit 214 property list transmission unit 215 recommended product determination unit 216 recommended store determination unit 217 recommendation unit 218 sales information registration unit 230 authentication information Storage unit 231 Purchase data storage unit 232 Rule storage unit 233 Merchandise information storage unit 234 Sales information storage unit 235 Property list storage unit

Claims (6)

an e-mail retriever for retrieving e-mails for a user from multiple e-commerce stores;
an extraction unit that analyzes the e-mail and extracts purchased product information indicating products purchased by the user from the store;
a property list that stores the purchased product information indicating the product purchased by the user in association with the user;
a list output unit for outputting a list of the possession information by category;
An information processing system comprising: The information processing system according to claim 1,
further comprising a rule storage unit that stores rules for each store;
the extraction unit extracting the product from the email by applying the rule corresponding to the store;
An information processing system characterized by The information processing system according to claim 1 or 2,
a product information storage unit that stores whether each product corresponds to a consumable item;
a property list creation unit for registering in the property list items of the purchased product information that do not correspond to the consumables;
An information processing system, further comprising: The information processing system according to any one of claims 1 to 3,
a sales information storage unit that stores the sales price of the product for each store;
a product determination unit that determines the product to be recommended to the user based on the purchased product information;
a store determination unit that determines the store to be recommended to the user according to the selling price corresponding to the determined product;
a recommendation unit that recommends the product and the store to the user;
An information processing system, further comprising: retrieving emails to a user from multiple e-commerce stores;
analyzing the e-mail to extract purchased product information indicating products purchased by the user from the store;
a step of storing the purchased product information indicating the product purchased by the user in association with the user;
a step of outputting a list of the ownership information by category;
An information processing method characterized in that the information processing device executes retrieving emails to a user from multiple e-commerce stores;
analyzing the e-mail to extract purchased product information indicating products purchased by the user from the store;
a step of storing the purchased product information indicating the product purchased by the user in association with the user;
a step of outputting a list of the ownership information by category;
A program for causing an information processing device to execute

Images