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

Abstract

To provide an information processing device capable of achieving personalization of an electronic commerce site by recommending merchandise matching user's desire by adding body shape information to user's interests and tastes and its size about the merchandise which an electronic commerce operator of Internet sales or the like sells at a website.SOLUTION: An information processing device includes a user information acquisition part for acquiring merchandise of a type desired by a user, and user information including user's body shape information through a user terminal; a merchandise information acquisition part for acquiring inventory quantity, color, size, and kind of each merchandise to be sold at a website of an electronic commerce operator as merchandise information; a matching part for generating coordination information presenting a wearer in a state wearing the merchandise, corresponding to the user as a subject by associating the user information and the merchandise information with the inventory quantity, color, size, and kind with a merchandise group as recommendation information; and an output part for outputting the recommendation information to the user terminal.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program, and more particularly to a device, a method, and a program for recommending products that match the hobbies, tastes, and body shape of a user. [Background technology]

[0002] In recent years, services provided by electronic commerce businesses such as internet retailers on their websites have become widespread. A technology has been proposed that presents appropriate recommended sizes to users browsing a website when they purchase accessories (clothing, footwear, etc.) (see Patent Document 1, etc.).

[0003] Conventionally, there are many websites for clothing. Therefore, users can browse products on their favorite brand websites or sales sites that handle products of various brands and purchase the selected products through electronic commerce without going to a physical store. However, although users can check the size of products on the websites by notation such as S, M, L, etc., they cannot try on the products as they can in physical stores. Therefore, there is a risk of a situation occurring in which the products do not fit the user's body when they try them on after purchasing them, and a solution to this problem has been sought.

[0004] As an example of this type of technology, Patent Document 1 discloses a technology that acquires a database in which measurements of each part of a product to be used in a virtual try-on and measurements of each part of a purchaser's body are registered, and also acquires measurements of the size of each part of the product and each part of the purchaser's body, and compares these to determine the fit of the product to the purchaser. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2017-134470 A Summary of the Invention [Problem to be solved by the invention]

[0006] However, in the technology of Patent Document 1, it is necessary to register the measurements of each part of the product and each part of the purchaser's body in advance, and the more products are handled, the more complicated the preparation becomes. In addition, there is no perspective of recommending products and sizes suitable for users by comprehensively considering both the user's tastes and preferences and the user's body shape. Today, designs are becoming more diverse, and there are variations even for the same size depending on the brand, so unless these are taken into consideration comprehensively, it is difficult to recommend products and sizes that ultimately match the user's desires.

[0007] The present invention has been made in consideration of the above-mentioned points, and provides an information processing device, information processing method, and information processing program that add body shape information to a user's hobbies and tastes to recommend products and their sizes that match the user's desires for products sold on a website by e-commerce operators such as Internet retailers, thereby realizing personalization of e-commerce sites (individualized proposals for each user), thereby enabling relationship building and promotion of product purchases based on suggestions from users and staff such as store clerks and coordination by staff. [Means for solving the problem]

[0008] That is, the information processing device of the embodiment is characterized by comprising a user information acquisition unit that acquires a type of product desired by a user and user information including body shape information of the user via a user terminal; a product information acquisition unit that acquires the stock quantity, color, size, and type of each product sold on the website of an e-commerce operator as product information; a matching unit that matches the user information and product information for the type of product desired by the user based on the stock quantity, color, size, and type of the product, and generates coordination information together with a group of products as recommendation information in which a wearer of the product is presented as a subject wearing the product; and an output unit that outputs the recommendation information to the user terminal.

[0009] Furthermore, in the information processing device, the recommendation information may be such that a group of products that fall within a predetermined range based on a numerical value set in the body shape information of the user is extracted.

[0010] Furthermore, in an information processing device, the recommendation information may include, in addition to a group of products extracted corresponding to a user, products other than the type of products desired by the user that correspond to the user's body shape information and be extracted and added to the group of products.

[0011] Furthermore, in the information processing device, the recommendation information may include coordination information presenting how the products are worn together with the product group, and the information processing device may include a coordination information storage unit that stores the coordination information.

[0012] Furthermore, in the information processing device, the coordination information may include coordinated body shape information of a wearer wearing the product.

[0013] Furthermore, in the information processing device, the matching unit may extract an image of a wearer wearing the product based on the user information and the coordinated body shape information. Effect of the Invention

[0014] The information processing device of the present invention comprises a user information acquisition unit that acquires via a user terminal the type of product desired by a user and user information including the user's body shape information; a product information acquisition unit that acquires the stock quantity, color, size, and type of each product sold on the website of an e-commerce operator as product information; a matching unit that matches the user information and product information for the type of product desired by the user based on the stock quantity, color, size, and type of the product, and generates coordination information together with a group of products as recommendation information in which a wearer of the product is presented as a subject wearing the product; and an output unit that outputs the recommendation information to the user terminal.Therefore, for products sold on the website of an e-commerce operator such as an internet retailer, body shape information is added to the user's hobbies and tastes to recommend products and their sizes that match the user's desires, thereby realizing the personalization of the e-commerce site, and thereby making it possible to build relationships between the user and staff such as store clerks and promote product purchases based on suggestions from the user and staff and coordination by the staff.

[0015] In addition, in the information processing method and the information processing program, like the information processing device, for products sold on a website by an electronic commerce business such as an Internet retailer, body shape information is added to the user's hobbies and tastes to recommend products and their sizes that match the user's desires, thereby realizing personalization of the electronic commerce site, thereby making it possible to build relationships between users and staff such as store clerks and promote product purchases based on suggestions from the user and staff and coordination by the staff. [Brief description of the drawings]

[0016] [Figure 1] FIG. 1 is a schematic diagram illustrating a configuration of an information processing apparatus according to an embodiment. [Diagram 2] 2 is a block diagram showing functional units of the information processing device; [Diagram 3] 1 is an example of a display on a website of an e-commerce business. [Figure 4] 1 is an example of a display on a website of an e-commerce business. [Diagram 5]1 is an example of a display on a website of an e-commerce business. [Figure 6] 13 is a display example of a website of an electronic commerce business according to another embodiment. [Figure 7] 1 is a flowchart illustrating an information processing method according to an embodiment. [Figure 8] 13 is a flowchart illustrating an information processing method according to another embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] The information processing device, information processing system, information processing method, and information processing program of the embodiments are devices, methods, and programs for promoting sales of products and services sold on websites (Internet sites) operated by electronic commerce operators (E-commerce operators), and further proposing measures to increase the purchasing desire of users viewing the websites.

[0018] A user (customer) browses a website operated by an e-commerce business operator, and when the user finds a product he or she desires on the website, the payment procedure for the purchase is carried out, and the transaction between the e-commerce business operator and the user is completed. However, when the product arrives at the user's home, it may not be the size, shape, or color that the user desired.

[0019] This is because users purchase products on websites without visiting a brick-and-mortar store to see the actual product, and in particular, when purchasing clothing based only on the user's height and weight data, the clothing may not fit the user's body shape when worn. This may result in future business opportunities being lost due to the electronic commerce business operator being unable to fully meet the product content required by the user. Therefore, if the user's detailed body shape information and hobbies and preferences are matched (compatible, consistent) with the product from the beginning, the user can purchase the product with the size, shape, and color that he or she desires and expects, and even that suits his or her preferences. In other words, the information processing device and the like (device, method, program) of the embodiment are positioned as a technology for reducing dissatisfaction of users when purchasing on the website of an electronic commerce business operator, and for proposing products that better suit the user's desires.

[0020] The configuration of an information processing device 1 according to an embodiment is shown in the schematic diagram of Fig. 1. In terms of hardware, the information processing device 1 is configured by a computer 100 (processing unit), and is equipped with computing elements such as a CPU and a GPU, and storage elements such as a ROM, a RAM, a HDD, and an SSD. The information processing device 1 may be a personal computer (PC), a mainframe, a workstation, a cloud computing system, or even a tablet terminal or a smartphone, or any of a variety of other electronic computers (computing resources). In terms of software, the information processing method is realized by an information processing program loaded into a main memory, or the like.

[0021] 1, the information processing device 1 is connected to a wired or wireless line such as an Internet line 2. A user 3 (customer) who will purchase a product can access a website 12 of an e-commerce business operator 10 from a terminal device 4 owned by the user 3 via the Internet line 2.

[0022] The computer 100 of the information processing device 1 is configured as an information processing system 1S by connecting it to an Internet line 2. Since the computer 100 in the information processing system 1S and the computer 100 in the information processing device 1 have a common configuration, they will be described below as the information processing device 1. The computer 100 in the information processing device 1 may be provided as equipment incidental to the e-commerce business operator 10, or may be provided in an independent business operator separate from the e-commerce business operator 10. In the drawing, it is provided inside the e-commerce business operator 10.

[0023] When each functional unit of the information processing device 1 (information processing system 1S) in FIG. 1 is realized by software, the computer 100 of the information processing device 1 executes instructions of a program, which is software that realizes each function. The recording medium that stores this program may be a "non-transitory tangible medium," such as a CD, a DVD, a semiconductor memory, or a programmable logic circuit. In addition, this program may be supplied to the computer 100 of the information processing device 1 (information processing system 1S) via any transmission medium (communication network, broadcast wave, etc.) that can transmit the program.

[0024] Fig. 2 is a block diagram showing the functional units of the information processing device 1 (information processing system 1S). The computer 100 is equipped with a user information acquisition unit 101, a product information acquisition unit 102, a coordinate information storage unit 103, a matching unit 104, and an output unit 105. It is also equipped with a related content output unit 106 that corresponds to the processing of Fig. 6 described below. The coordinate information storage unit 103 uses storage elements such as ROM, RAM, HDD, SSD, etc. The output unit 105 is a known display, monitor, etc. Furthermore, the computer 100 of the information processing device 1 (information processing system 1S) is equipped with arithmetic elements such as a CPU, GPU, etc.

[0025] The user information acquisition unit 101 acquires the type of product desired by the user and user information including the user's body shape information via the user terminal. In the embodiment, the products are assumed to be clothing, shoes, cosmetics, various accessories, and jewelry, since the preferences of users (customers, purchasers) vary, and further include beverages and food. In the embodiment, the products will be described as clothing.

[0026] The user's body shape information includes information on the user's height, weight, age, and sex, as well as information on a bone structure diagnosis. The reason for using information on a bone structure diagnosis is that the user's body shape is not determined simply by height and weight, but there are various body shapes such as thin and stocky, and more accurate body shape information can be obtained by taking the results of a bone structure diagnosis into account.

[0027] According to the Skeleton Diagnosis Analyst Association, there are three types of types based on bone structure diagnosis, namely straight, wavy, and natural, especially for women. Straight types have a three-dimensional, well-defined body shape that shows off muscles, and tend to be centered on the upper side, so clothes that are thick, have a firm texture, and are simple in design are selected. Wave types are characterized by a thin and delicate body with soft curves, so clothes that are thin, have a soft texture, and are decorated in a design. Natural types have a stylish body with little muscle or fat, large and thick bones, prominent joints, and an overall square-like frame, so clothes with a dry texture or a textured look such as washed clothes and loose designs are selected.

[0028] Men are classified into three types: the standard A type, the Y type, which has a large difference between chest and waist circumference, and the B type, which has a small difference between chest and waist circumference.

[0029] The user information acquisition unit 101 acquires contact information of the user 3 as user information from the terminal device 4 owned by the user 3. The contact information of the user 3 is unique information that identifies the user 3 and allows the e-commerce business operator 10 to notify the user, such as the user's name, address, telephone number, email address, and SNS account. These items that correspond to the personal information of the user 3 are items that the user 3 is required to input when purchasing a product from the e-commerce business operator 10 for the first time, and are appropriately managed and stored by the e-commerce business operator 10.

[0030] Furthermore, the user information includes information on the body shape of the user 3. The body shape information is information that the user 3 input when he or she previously purchased a product from the electronic commerce business operator 10, and if the product is clothing, the size is S, M, L, etc., or size 7, 9, 11, etc., and if the product is shoes, the size is 23.5 cm, etc.

[0031] That is, the user information includes a purchase history unique to the user 3 that is generated by linking products that the user 3 previously purchased from the electronic commerce business operator 10 with information input when purchasing the products. Of course, in addition to this, the user information may also include the color and price of the product that were input (selected) when the product was previously purchased from the electronic commerce business operator 10.

[0032] The product information acquisition unit 102 acquires, as attributes of products sold on the website 12 of the e-commerce operator 10, the stock quantity, price, color, size, and type of each product.

[0033] Product attributes are items that serve as indices for classifying products, and in the case of clothing in particular, the main product attributes are the stock quantity that the e-commerce business operator 10 can handle, the price (price range) of the product, the color of the product, the size of the product, and the type of the product. Other information such as whether the product is second-hand or discounted, whether it has scratches or stains, etc. may be added as product attributes. The e-commerce business operator 10 classifies the products it sells based on these product attributes, particularly clothing attributes, and uploads and manages product photos and product attributes on the website 12.

[0034] The coordinate information storage unit 103 stores information about the user 3, information about products, information about staff, and information about coordination. The staff here refers to sales clerks at an apparel store, etc. Information about the user 3 is stored in a user body shape database 1031, information about products in a brand body database 1032, information about staff in a staff body shape database 1033, and information about coordination in a coordinate database 1034.

[0035] For example, the height, weight, age, sex, and brand size of the user may be stored in the user body shape database 1031. The brand size may be, for example, a size such as S, M, L, or LL, or may be a size such as 7, 9, 11, or 13.

[0036] The brand body database 1032 may store, for example, product names, sizes, stock status, etc. Product names may be, for example, T-shirts, blouses, sweaters, hoodies, jackets, coats, pants, skirts, shoes, sandals, etc. Sizes may be, as described above, S, M, L, LL, etc., or sizes 7, 9, 11, 13, etc. Stock status may be, for example, in stock, low in stock, out of stock, etc.

[0037] The staff body shape database 1033 may store, for example, the height, weight, age, sex, brand, registered items, etc. of all staff members belonging to each store. Height may be stored as, for example, around 150 cm, weight as, for example, around 45 kg, age as, for example, around 30 years old, etc. Brands may be stored as, for example, famous domestic and international brand names. Registered items may be product names handled at the store, such as T-shirts, blouses, sweaters, hoodies, jackets, coats, pants, skirts, shoes, sandals, etc.

[0038] The coordinate database 1034 may store information such as the height, weight, age, sex, brand, and registered item of the staff member who wears the product that is the material for recommendation by the matching unit 104 described later. For example, the staff member who matches a 28-year-old female user who is 150 cm tall, weighs 45 kg, and likes light-colored shirts may be staff member A who wears a shirt from company Z. Information may be stored in each database by providing a photograph of the subject from an affiliated store, or may be automatically acquired from the affiliated store by a crawler of the information processing device 1 (information processing system 1S). The subject is the staff member who wears the product that is the material for recommendation, and the staff member may be, for example, a salesperson at an apparel store.

[0039] The matching unit 104 generates, as recommendation information together with a group of products, coordination information that corresponds the user information and product information to the user based on the stock quantity, color, size, and type of the product for the type of product desired by the user, and presents a wearer wearing the product as a subject. The matching unit 104 uses natural language processing by the computer 100 to analyze linguistic information such as the user's height, weight, and color, size, and type of the desired product, and generates the coordination information together with the group of products as recommendation information. The matching unit 104 may use image processing in addition to natural language processing. Although it is referred to as a "group of products," it may be one product or two or more products.

[0040] The recommendation information may include a group of products that fall within a predetermined range of values ​​set in the user's body shape information. The predetermined range is a certain amount plus or minus the values ​​of the user's height, weight, etc. For example, if the user's height is 150 cm, the predetermined range is 2 cm plus or minus that, that is, 148 cm to 152 cm, and if the user's weight is 50 kg, the predetermined range is 2 kg plus or minus that, that is, 48 ​​kg to 52 kg. This allows a group of products that suit people with heights, weights, etc. close to the user's height, weight, etc. to be extracted, expanding the range of product selection for the user.

[0041] In addition to the product group extracted corresponding to the user, the recommendation information may extract products other than the type of products desired by the user and corresponding to the user's body shape information and add them to the product group. For example, if the user only wants a top, bottoms that match the top may also be suggested according to the user's body shape. This allows other product groups that match the product desired by the user to be extracted, making it possible to suggest products outside the range of the user's preferences, thereby expanding the fun of fashion combinations.

[0042] The types of matching include, for example, clothing matching, size matching, staff body shape matching, and staff preference matching.

[0043] Clothing matching is a matching method that matches clothing items that match the hobbies and tastes of user 3. For example, it recommends down jackets to a user who likes down jackets, trench coats to a user who likes trench coats, T-shirts to a user who likes T-shirts, and Aloha shirts to a user who likes Aloha shirts. Figure 3 shows the screen that displays the recommendation information.

[0044] Size matching is a matching method that matches clothing items that fit the age, sex, and body shape of the user 3. For example, if the user is a woman who is 150 cm tall, weighs 45 kg, and is around 30 years old, clothing items that fit a woman who is 150 cm tall, weighs 45 kg, and is around 30 years old are matched based on the information stored in the brand body database 1032. Figure 3 shows a screen that displays the recommendation information.

[0045] Staff body shape matching is a matching method that matches staff members who match the age, sex, and body shape of the user 3. For example, if the user is a woman who is 150 cm tall, weighs 45 kg, and is about 30 years old, a wearer with similar height, weight, and age is selected. The selection is made by selecting an apparel store clerk who is within a predetermined range of the values ​​set in the user's body shape information as the wearer. Within the predetermined range is a certain amount of plus or minus of the values ​​of the user's height, weight, etc. For example, if the user's height is 150 cm, the predetermined range is 2 cm around that, that is, 148 cm to 152 cm, and if the user's weight is 50 kg, the predetermined range is 2 kg around that, that is, 48 ​​kg to 52 kg. For example, a female staff member who is 149 cm tall, weighs 46 kg, and is 29 years old is recommended as the wearer. Figure 4 shows a screen that displays the recommendation information.

[0046] Staff preference matching is a matching method for recommending staff members with similar hobbies and tastes to the user, and for example, for a user who likes sports clothes, staff members who also like sports clothes are extracted from the information stored in the coordinate database 1034 and recommended to the user, for a user who likes rock clothes, staff members who also like rock clothes are extracted from the information stored in the coordinate database 1034 and recommended to the user, and for a user who likes natural clothes, staff members who also like natural clothes are extracted from the information stored in the coordinate database 1034 and recommended to the user. Specifically, for example, for a user who likes Major League Baseball, staff members wearing uniform T-shirts with Anaheim Angels' uniform numbers are extracted and recommended, for example, for a user who likes the Rolling Stones, a Rolling Stones T-shirt or leather jacket with a mouth mark sticking out the tongue is recommended, and for a user who likes natural clothes, clothes made of natural materials such as linen, cotton, denim, etc. are recommended. For example, for a user who likes to wear a sleeveless top over a striped shirt and a long skirt, different colors of sleeveless tops over striped shirts and long skirts can be recommended, and for a user who likes to wear short skirts over trousers, different colors of short skirts over trousers can be recommended. Figure 4 shows a screen that displays the recommendation information for the latter example. Here, suggestions from staff can be included in the recommendation information.

[0047] The output unit 105 transmits various types of clothing, which are products proposed as recommendation information generated by the matching unit 104, to the terminal device 4 of the user 3. The output unit 105 performs image processing on the information generated by the matching unit 104 using the computer 100, and outputs the various types of clothing, which are products proposed as recommendation information, as images. Figures 3 to 5 are display examples.

[0048] The related content output unit 106 outputs related videos or posts (see FIG. 6) other than the recommendation information generated by matching in the matching step. For example, as shown in FIG. 6, the related content output unit 106 includes a video that introduces the recommendation information output as an image, and an introductory post on an SNS. For example, a special page for travel, a special page for adult women, and a special page for children's clothes may be output based on the user's hobbies and tastes. Specifically, for example, a special page for Okinawa travel may be output with a recommendation for Kariyushi wear for a user who likes Okinawa, and a special page for Hawaii travel with a recommendation for Aloha shirts for a user who likes Hawaii. For example, a special page for calm but cute clothes may be output for women in their late 20s or older. For example, a special page for clothes featuring children's anime or special effects characters may be output for parents with children up to about 10 years old. In FIG. 6, the video is played by clicking on the part of the circle surrounding the right-facing triangle in the center. This results in the recommendation information being output with images and audio, which deepens the user's understanding of the product group.

[0049] Hereinafter, the information processing method and the information processing program of the embodiment will be described with reference to the flowchart of Fig. 7. The information processing method of the embodiment is executed by the computer 100 (matching unit 104) of the information processing device 1 of the embodiment based on the information processing program (see Figs. 1 and 2). The information processing program of the embodiment causes the computer 100 of the information processing device 1 to realize a user information acquisition function, a product information acquisition function, a coordinate information accumulation function, a matching function, and an output function. Each function overlaps with the description of the information processing device 1 of the embodiment described above, so details will be omitted.

[0050] 7 is a flow chart of an information processing method according to an embodiment, which includes various steps of a user information acquisition step (S1), a product information acquisition step (S2), a coordinate information accumulation step (S3), a matching step (S4), and an output step (S5). In addition, the information processing method also includes various steps (not shown) necessary as appropriate, such as storing matching results, calling up the matching results, other matching, input, output, storage, etc.

[0051] The user information acquisition function acquires contact information of the user 3 as user information from the terminal device 4 owned by the user 3 (S1; user information acquisition step). The product information acquisition function acquires the stock quantity, price, color, and size of each product as information on products sold on the website 12 of the e-commerce business operator 10 (S2; product information acquisition step).

[0052] The coordination information accumulation function accumulates coordination information that is included in the recommendation information and that presents how the products are worn together with a group of products (S3; coordination information accumulation step). The coordination information is, for example, a photograph of an apparel salesperson.

[0053] The matching function generates recommendation information, which is a group of products extracted by matching the user information and product information for the type of product desired by the user 3 based on the stock quantity, color, size, and type of the product to the user 3 (S4; matching step). The output function transmits the recommendation information generated in the matching step to the terminal device 4 of the user 3 (S5; output step).

[0054] The flowchart in Fig. 8 shows the flow of an information processing method of another embodiment, which is a form for realizing a related content output function. This form includes various steps of a user information acquisition step (S1), a product information acquisition step (S2), a coordinate information accumulation step (S3), a matching step (S4), an output step (S5), and a related content output step (S6). In addition, the information processing method also includes various steps (not shown) necessary as appropriate, such as storing matching results, calling them up, other calculations, input, output, storage, etc.

[0055] In the flowchart of Fig. 8, a related content output step of the related content output function is added. The related content output function outputs related videos or posts other than the recommendation information generated by matching in the matching step (S6; related content output step). The other functions and steps are the same as those in the flowchart of Fig. 7.

[0056] The information processing program of the embodiment can be implemented using, for example, scripting languages ​​such as ActionScript, JavaScript (registered trademark), Python, and Ruby, and compiler languages ​​such as C, C++, C#, Objective-C, Swift, and Java (registered trademark). [Explanation of symbols]

[0057] 1. Information processing device 1S Information Processing System 2. Internet connection 3 Users 4 Terminal Equipment 10. E-commerce businesses 12 Websites 100 Computers 101 User information acquisition unit 102 Product information acquisition department 103 Coordination information storage unit 104 Matching Section 105 Output section 106 Related Content Output Unit 1031 User Body Shape Database 1032 Brand Body Database 1033 Staff Body Shape Database 1034 Coordinate Database

Claims

1. a user information acquiring unit that acquires, via a user terminal, user information including a type of product desired by a user who is a purchaser and body shape information of the user; a product information acquisition unit that acquires product information, such as inventory quantity, color, size, and type, for each product sold on the website of the e-commerce business operator; a matching unit that generates, as recommendation information together with a group of products, coordination information that corresponds the user information and the product information to the user based on the stock quantity, color, size, and type of the product, and presents a wearer of the product as a subject wearing the product, for the type of product desired by the user; and an output unit that outputs the recommendation information to the user terminal.

2. The information processing apparatus according to claim 1 , wherein the recommendation information is extracted from a group of products that fall within a predetermined range based on a numerical value set in body shape information of the user.

3. The information processing device according to claim 1 , wherein the recommendation information is added to the group of products extracted corresponding to the user, and products other than the type of products desired by the user that correspond to the body shape information of the user are extracted and added to the group of products.

4. The information processing device according to claim 1 , further comprising a coordinate information storage unit for storing the coordinate information.

5. The information processing device according to claim 4 , wherein the coordination information includes coordinated body shape information of a wearer wearing the product.

6. The information processing device according to claim 5 , wherein the matching unit extracts an image of a wearer wearing the product based on the user information and the coordinated body shape information.

7. The computer a user information acquiring step of acquiring user information including a type of product desired by the user and body shape information of the user via a user terminal; a product information acquisition step of acquiring product information, such as inventory quantity, color, size, and type, for each product sold on the website of the e-commerce business operator; a matching step of generating, as recommendation information together with a group of products, coordination information that corresponds the user information and the product information to the user based on the stock quantity, color, size, and type of the product, and presents a wearer of the product as a subject wearing the product; an output step of outputting the recommendation information to the user terminal; An information processing method.

8. On the computer, a user information acquisition function for acquiring user information including a type of product desired by the user and body shape information of the user via the user terminal; A product information acquisition function that acquires product information such as inventory quantity, color, size, and type for each product sold on the website of the e-commerce business operator; a matching function that generates, as recommendation information together with a group of products, coordination information that corresponds the user information and the product information to the user based on the stock quantity, color, size, and type of the product, and presents a wearer of the product as a subject wearing the product, for the type of product desired by the user; an output function for outputting the recommendation information to the user terminal; A non-transitory computer-readable medium storing a program for executing the above.

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