JP2016071537A - Commodity recommendation apparatus and commodity recommendation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a commodity recommendation apparatus configured to effectively prevent the same commodity from being purchased by users who are highly likely to meet each other, while efficiently recommending a commodity desired by the users.SOLUTION: A commodity recommendation apparatus 14 connected to a terminal device over a network includes: a user identifying section 31 which acquires user identification information D11 for identifying a user who uses the terminal device; a group identifying section 32 which identifies a reference group to which the user using the terminal device belongs, on the basis of the user identification information D11; a recommendation commodity specifying section 33 which specifies recommended commodity information, which is information on a commodity having been recommended to another user who belongs the reference group, and specifies a recommendation commodity for the user using the terminal device, on the basis of the recommended commodity information; and a recommendation commodity information output section 34 which outputs information on the recommendation commodity. The recommendation commodity specifying section 33 specifies a commodity other than the commodity having been recommended to another user who belongs to the reference group, as a recommendation commodity.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a product recommendation device and a product recommendation method, and more particularly, to a product recommendation device and a product recommendation method for presenting a recommended product to a user who uses an electronic commerce (EC).

  When searching for merchandise such as clothes on an EC site on the Internet, there are cases where recommended products (recommended products) are presented to the user in addition to products that the user has voluntarily searched for or selected.

  By presenting recommended products to the user, the user can efficiently find an appropriate product that suits his taste from the vast number of products, while the product sales store stimulates the user's willingness to purchase. It can be expected that purchasing activities will be promoted effectively.

  Recommended products are generally determined based on seasons, trends, etc., determined based on attribute information such as the gender and age of each user, and based on operation history and order history on each user's EC site. It is decided. In addition, there are cases where products are recommended based on the preferences of other users in addition to the preferences of each user (see, for example, Patent Document 1).

JP 2010-15565 A

  As described above, there are cases where recommended products to be presented to users using the EC site are determined based on personal data of each user such as attribute information (for example, gender, age, etc.), operation history or order history. . For example, information regarding products related to products purchased by each user in the past or products browsed in the past may be presented to the user as recommended products. However, the method of determining recommended products based only on the personal data of each user has low recommended accuracy, and the recommended products often do not meet the actual needs of each user at all. In addition, it is difficult to actively recommend new products that match the user's potential desire, although the user himself / herself is not aware.

  In addition, there are cases where recommended products are determined based on preferences and trends of other users. For example, when a red jacket is popular among women in their 20s, a product in a red jacket may be preferentially presented as a recommended product to a female user in their 20s. In this way, by using information about other users, it is possible to present recommended products according to the fashion, and it is possible to effectively stimulate users' potential purchase intentions.

  However, even in a case where recommended products for each user are determined using information on other users, the recommended products often do not meet the needs and preferences of each user. For example, when there are a large number of other users to refer to when determining recommended products, the preferences of other users are very diverse. Even if it restrict | limits based on attribute information, the information of another user completely different from each user's preference is reflected, and a recommended product is determined. In addition, when the number of other users to be referred to when determining recommended products is small, there is a high possibility that a preference shift will occur between the other users to be referred to when determining recommended products and the user to be recommended, The information of other users with different preferences can greatly influence the determination of recommended products. As described above, even when a recommended product for each user is determined using information related to other users, a recommended product with low recommendation accuracy and a user's willingness to purchase may be presented.

  On the other hand, Patent Document 1 predicts a specific user's interest based on the interests of other users using a collaborative filter as one of the methods of utilizing social networking services (SNS: Social Networking Service). A method of recommending clothing-related products and products of other items to the specific user is disclosed.

  SNS can be used through mobile devices such as smartphones and personal computers, and has been rapidly spreading in recent years. Each user of the SNS can not only exchange messages and photos with a specific user or an unspecified number of users through the SNS, but also belongs to a specific group formed on the SNS. It is also possible to exchange messages and photos with other users.

  As a group formed on the SNS, for example, a group formed by users having common personal data such as a residence area or an affiliated organization, or a user with a similar hobby preference (for example, a user who likes snake metapunk or a user who likes rock) There are groups based on various relationships, such as formed groups.

  There is a tendency for fashion sense to be similar among users in a group formed based on such a specific relationship. For example, in a group formed by users having a common hobby preference, the common hobby preference is reflected. There is a tendency to favor clothes and items. Therefore, the recommended accuracy can be improved by determining the recommended product based on the information in the group.

  For example, for users belonging to a group formed by snake metapunk young people who tend to prefer black leather jackets and slender denim pants, rather than products based on hobbies and preferences of general users who do not belong to that group A person who recommends a product based only on hobbies and preferences of other users belonging to the group is more likely to meet the actual preferences and needs of the user. Similarly, for users belonging to a group formed by girly girls who tend to prefer dresses with frills or ribbon decorations, for example, recommend products based on hobbies and preferences of other users belonging to the group Thus, there is a high possibility of stimulating the purchase intention of the user and promoting the purchase.

  In this way, it is possible to improve the recommended accuracy by determining the recommended product based on the information of the group to which only the users restricted under specific conditions belong, but the same for multiple users belonging to the same group There is a high possibility that recommended products will be presented. Even if users who have the same product are distributed over a relatively wide range, each user can purchase and use recommended products without worrying about such facts. However, within a relatively limited range, there are cases where it is not preferable to have the same product among different users. For example, when a group consists of users who belong to the same residential area or the same organization, and the same apparel is presented as a recommended product to different users in the group, the user recommends that There are cases where you regret purchasing a product. That is, there is a high possibility that users belonging to the same residential area and the same organization will encounter each other in daily life, attend the same meeting, and so on. On the other hand, if all or part of their clothes are the same as the clothes of others, psychologically, people who wear the same clothes may feel very awkward.

  For this reason, it is not always preferable to recommend a product such as the same apparel to multiple users who belong to the same group who are likely to encounter it. Dislike the use of recommended products or raise distrust in the EC site.

  The present invention has been made in view of the above-described circumstances, and efficiently recommending products that are clearly or potentially desired by users, while users who are likely to encounter purchase the same products. The object is to provide a product recommendation device and a product recommendation method that can be effectively prevented.

  One aspect of the present invention is a product recommendation device connected to a terminal device via a network, and a used user specifying unit for acquiring used user specifying information for specifying a user who uses the terminal device, and used user specifying information Based on the group identification unit that identifies the reference group to which the user using the terminal device belongs, and recommended product information that is recommended product information for other users belonging to the reference group The present invention relates to a product recommendation device including a recommended product identification unit that identifies a recommended product for a user who uses a terminal device based on the product information, and a recommended product information output unit that outputs information on the recommended product.

  According to this aspect, the recommended product is specified based on the information of the product recommended for other users of the reference group to which the user who uses the terminal device belongs. Therefore, the recommended product for each user is determined in consideration of the products already recommended for other users of the reference group. By adjusting the recommended products among multiple users in the reference group in this way, users in the reference group who are likely to encounter while efficiently recommending products that are clearly or potentially desired by each user. It is possible to effectively prevent each other from purchasing the same recommended product.

  Preferably, the recommended product specifying unit specifies a product other than a product recommended for other users belonging to the reference group as a recommended product.

  According to this aspect, it is possible to avoid presenting the same product as a recommended product to a plurality of users belonging to the same reference group.

  Another aspect of the present invention is a product recommendation device connected to a terminal device via a network, and a used user specifying unit for acquiring used user specifying information for specifying a user who uses the terminal device, and a used user specifying Based on the information, a group identification unit that identifies the reference group to which the user using the terminal device belongs, and recommended product information that is information of products recommended for other users belonging to the reference group are identified and recommended A recommended product specifying unit for specifying a recommended product for a user who uses the terminal device, and a recommended product information output unit for outputting information of the recommended product based on the completed product information. The present invention relates to a product recommendation device that identifies a product other than a product recommended for other users belonging to the category as a recommended product.

  Desirably, the recommended product specifying unit specifies another user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group, and recommended product specifying for specifying recommended product information based on the other user specifying information. And a recommended product determination unit that determines a recommended product from products other than products recommended for other users belonging to the reference group based on the recommended product information.

  According to this aspect, it is possible to accurately acquire recommended product information of other users belonging to the reference group based on the other user identification information, and the same product for a plurality of users belonging to the same reference group Can be avoided as a recommended product.

  Desirably, the recommended product specifying unit further includes a recommended candidate specifying unit that specifies recommended candidate products for the user who uses the terminal device, and the recommended product determining unit belongs to the reference group among the recommended candidate products. Products other than those recommended for other users are determined as recommended products.

  According to this aspect, while efficiently recommending products that the user explicitly or potentially desires from among the recommended candidate products, the same products are recommended products for a plurality of users belonging to the same reference group. Presenting can be avoided.

  Desirably, a recommendation candidate specific part specifies goods of a recommendation candidate based on registration information of a user who uses a terminal unit.

  According to this aspect, based on the user registration information, it is possible to specify a product that the user explicitly or potentially desires as a recommended product. The registered information of the user is not particularly limited. For example, ecological characteristic information such as the user's age and gender, life information such as the user's residence area and organization, personal characteristic information such as the user's hobbies and preferences, and others User related information.

  Desirably, a recommendation candidate specific part specifies goods of a recommendation candidate based on information on a reference group.

  According to this aspect, since the recommended candidate product is specified based on the information of the reference group to which the user who uses the terminal device belongs, it is possible to efficiently recommend the product that the user explicitly or potentially desires. .

  Desirably, the recommended product specifying unit specifies another user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group, and recommended product specifying for specifying recommended product information based on the other user specifying information. Based on recommended product information, similar product specifying unit for identifying similar product information that is information of products similar to products recommended for other users belonging to the reference group, and based on similar product information A recommended product determination unit that determines a recommended product from products similar to products recommended for other users belonging to the reference group.

  According to this aspect, since a recommended product is determined from products similar to those recommended for other users belonging to the reference group, the product that the user explicitly or potentially wants is efficiently recommended. can do.

  Desirably, the recommended product is a single product.

  According to this aspect, a single product can be recommended to each user.

  Preferably, the recommended product is a plurality of products.

  According to this aspect, a plurality of products can be recommended to each user.

  Preferably, the plurality of products included in the recommended product are products of different categories and coordinated with each other.

  According to this aspect, a plurality of categories of products coordinated by each user can be recommended.

  Preferably, the product recommendation device further includes a product acquisition unit to which information on the first product belonging to the first category is input, and the recommended product includes a product belonging to the second category combined with the first product, The recommended product specifying unit includes another user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group, a recommended product specifying unit for specifying recommended product information based on the other user specifying information, Based on the coordinated rule generation unit for specifying the coordinated rule that is a combination rule of the product in the first category and the product in the second category, and the recommended product information and the coordinated rule, to other users belonging to the reference group A recommended product determination unit that determines a recommended product from among products other than the recommended products.

  According to this aspect, it is possible to determine a recommended product that can be combined with the first product from among products other than those recommended for other users belonging to the reference group and recommend it to the user. The “product of the first category” and the “product of the second category” may be products belonging to any category as long as they belong to different categories. For example, “a product in the first category” and “a product in the second category” can be constituted by “a product in the top category” and “a product in the bottom category”.

  Preferably, the product recommendation device specifies a product acquisition unit to which information on a first product belonging to the first category is input, and a first similar product belonging to a first category similar to the first product. The recommended product includes a product belonging to the second category combined with the first similar product, and the recommended product specifying unit specifies other users belonging to the reference group. A combination of an other user specifying unit that acquires user specifying information, a recommended product specifying unit that specifies recommended product information based on the other user specifying information, and a product of the first category and a product of the second category Based on the coordinated rule generation unit that identifies the coordinated rules that are rules, recommended product information, and coordinated rules, for other users belonging to the reference group It has a recommended item determining unit that determines a recommended product from the recommended other than goods product, a.

  According to this aspect, the recommended product that can be combined with the first similar product similar to the first product is determined from the products other than the products recommended for other users belonging to the reference group, and the user is prompted. Can be recommended.

  Preferably, the recommended product determination unit is similar to the candidate product and a candidate product specifying unit that specifies candidate products belonging to the second category from products other than those recommended for other users belonging to the reference group. And a second similar product search unit for determining recommended products belonging to the second category.

  According to this aspect, candidate products can be specified from products other than products recommended for other users belonging to the reference group, and products similar to the candidate products can be determined as recommended products.

  Preferably, the recommended product specifying unit acquires user residence information indicating a residence area of the user who uses the terminal device, and based on the user residence information, selects a related area related to the residence area of the user who uses the terminal device. The recommended product is identified based on the recommended product information that is information of a product recommended for other users who belong to the reference group and who have the related area as the residence area.

  According to this aspect, it is possible to effectively prevent users who are likely to encounter based on the residential area from purchasing the same product.

  Preferably, the recommended product identification unit acquires user organization information indicating an organization to which a user using the terminal device belongs, and based on the user organization information, selects a related organization related to the organization to which the user using the terminal device belongs. The recommended product is identified based on recommended product information that is information of a product recommended for other users who belong to the reference group and belong to the related organization.

  According to this aspect, it is possible to effectively prevent users who have a high possibility of encountering on the basis of the affiliated organization from purchasing the same product.

  Desirably, a group specific | specification part acquires the user group information which shows the group to which the user who uses a terminal device belongs, and determines a reference group from the group to which the user who uses a terminal device belongs based on user group information. .

  According to this aspect, by appropriately determining a group to be a reference group from among groups to which the user belongs, it is highly likely that the user will encounter while efficiently recommending products that are explicitly or potentially desired It is possible to effectively prevent users from purchasing the same product.

  Preferably, the group specifying unit determines whether the user using the terminal device belongs to the reference group based on the use user specifying information, and the recommended product specifying unit is configured so that the user using the terminal device uses the reference group. If it is determined that the user who uses the terminal device does not belong to the reference group, the use user identification information is included. Identify recommended products based on

  According to this aspect, even if the user who uses the terminal device does not belong to the reference group, it is possible to recommend a product that the user explicitly or potentially desires.

  Desirably, the recommended product is a clothing-related product.

  According to this aspect, it is possible to effectively prevent users who are likely to encounter from purchasing the same clothing-related products. “Apparel-related products” here are interpreted in a broad sense, including, for example, all items worn by each user, tops worn on the upper body, bottoms such as trousers and skirts worn on the lower body, underwear, socks, Various items such as hats, shoes, gloves, watches, accessories, and glasses can be included.

  Another aspect of the present invention is a product recommendation method performed by a product recommendation device connected to a terminal device via a network, the step of acquiring use user specifying information for specifying a user who uses the terminal device, and use Based on the user identification information, a step of identifying a reference group to which a user who uses the terminal device belongs, and recommended product information that is information of products recommended for other users belonging to the reference group are acquired and recommended. The present invention relates to a product recommendation method including a step of specifying a recommended product for a user who uses a terminal device based on completed product information, and a step of outputting information of the recommended product.

  Another aspect of the present invention is a product recommendation method performed by a product recommendation device connected to a terminal device via a network, the step of acquiring use user specifying information for specifying a user who uses the terminal device, and use Based on the user identification information, a step of identifying a reference group to which a user who uses the terminal device belongs, and recommended product information that is information of products recommended for other users belonging to the reference group are acquired and recommended. Including a step of identifying a recommended product for a user who uses the terminal device based on the completed product information and a step of outputting information of the recommended product, other than a product recommended for other users belonging to the reference group This relates to a product recommendation method in which products are identified as recommended products.

  According to the present invention, a recommended product is specified based on information on a product recommended for other users of the reference group to which the user who uses the terminal device belongs. Therefore, by adjusting the recommended products among multiple users in the reference group, users in the reference group who are likely to encounter while efficiently recommending products that each user explicitly or potentially wants Effectively prevent purchasing the same product.

FIG. 1 is a conceptual diagram of a client server system according to an embodiment of the present invention. FIG. 2 is a conceptual diagram of a client server system according to another embodiment of the present invention. FIG. 3 is a diagram conceptually showing information (data) transmitted and received between the terminal device and the product recommendation device. FIG. 4 is a block diagram illustrating an example of a functional configuration of the terminal device. FIG. 5 shows an example of an input screen for user identification data. FIG. 6 is a diagram illustrating a functional configuration example of the product recommendation device. FIG. 7 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the first embodiment. FIG. 8 is a conceptual diagram showing an example of the data structure of user information held in the user database. FIG. 9 is a conceptual diagram showing a data structure example of product information held in the product database. FIG. 10 is a flowchart of a product recommendation method performed by the product recommendation device according to the first embodiment. FIG. 11 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the second embodiment. FIG. 12 is a block diagram for explaining the outline of the process of the recommended candidate specifying unit. FIG. 13 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the third embodiment. FIG. 14 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the fourth embodiment. FIG. 15 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the fifth embodiment. FIG. 16 is a diagram illustrating a functional configuration example of the group specifying unit according to the sixth embodiment. FIG. 17 is a diagram illustrating a functional configuration example of the product recommendation device according to the seventh embodiment. FIG. 18 is a diagram illustrating a functional configuration example of the recommended product specifying unit according to the seventh embodiment. FIG. 19 is a conceptual diagram showing an example of coordination information held in the coordination database. FIG. 20 is a diagram illustrating a functional configuration of a modification of the product recommendation device according to the seventh embodiment. FIG. 21 is a flowchart showing a processing flow of another modification of the product recommendation device according to the seventh embodiment. FIG. 22 is a diagram illustrating a functional configuration of another modified example of the product recommendation device according to the seventh embodiment. FIG. 23 is a diagram illustrating a functional configuration of another modified example of the product recommendation device according to the seventh embodiment. FIG. 24 is a diagram illustrating a functional configuration of another modified example of the product recommendation device according to the seventh embodiment.

  An embodiment of the present invention will be described with reference to the drawings. In the following embodiment, an example in which “clothing”, which is a clothing-related product, is the target of the recommended product will be described. However, the target of the recommended product is not limited to clothing, and any other product is the target of the recommended product. In this case, the present invention can be applied.

  FIG. 1 is a conceptual diagram of a client server system 10 according to an embodiment of the present invention.

  The client server system 10 of this example includes a plurality of terminal devices 12 and an SNS server 11 connected to each terminal device 12 via a network 13 such as the Internet. A plurality of EC servers EC0 to ECn that provide EC sites are connected to the network 13. Therefore, information (data) can be transmitted and received between the SNS server 11 (product recommendation device 14), the terminal device 12, and the EC servers EC0 to ECn via the network 13.

  The terminal device 12 is a device operated by a user, and can take various forms such as a portable terminal (smart phone and tablet device) and a personal computer.

  The SNS server 11 is a device that provides an SNS to a user who operates the terminal device 12, and performs various processes in accordance with commands sent from the terminal devices 12 via the network 13, and also via the network 13. Various data are transmitted to each terminal device 12.

  The SNS server 11 of this example includes a product recommendation device 14. As will be described in detail later, the product recommendation device 14 transmits recommended product information determined according to each user to the terminal device 12 operated by each user.

  The product recommendation device 14 may be provided as a part of the device such as the SNS server 11 as shown in FIG. 1, or connected to the network 13 as a separate body from the device such as the SNS server 11 as shown in FIG. In any case, the product recommendation device 14 is connected to each terminal device 12 via the network 13.

  In the following embodiment, an example in which the SNS server 11 and the product recommendation device 14 cooperate to determine recommended products and transmit information will be described. However, the product recommendation device 14 is a device other than the SNS server 11 ( For example, the recommended product may be determined and information may be transmitted in cooperation with the EC servers EC0 to ECn).

  FIG. 3 is a diagram conceptually showing information (data) transmitted and received between the terminal device 12 and the product recommendation device 14. In this example, user identification data D1 is transmitted from the terminal device 12 to the product recommendation device 14, and recommended product output information D2 is transmitted from the product recommendation device 14 to the terminal device 12.

  The user identification data D1 is information for identifying individual users who operate each terminal device 12. The format of the user identification data D1 is not particularly limited. For example, a combination of a user ID and a password assigned to each user can be used as the user identification data D1.

  The recommended product output information D2 is information on recommended products presented to each user who operates the terminal device 12. The specific content of the recommended product output information D2 is not particularly limited. For example, the recommended product output information D2 may include various information related to the recommended product such as image data of the recommended product, specification information such as size, and inventory information. The recommended product output information D2 may include information related to products other than the recommended product and other information.

  Note that the terminal device 12 and the product recommendation device 14 may directly transmit / receive information (data), or may indirectly transmit / receive information (data) via another device. For example, in the case of a client server system 10 as shown in FIG. 1, user identification data D1 is transmitted from each terminal device 12 to the SNS server 11 via the network 13, and the product recommendation device 14 provided as a part of the SNS server 11 The user identification data D1 may be shared with other parts constituting the SNS server 11. In the case of the client server system 10 as shown in FIG. 2, user identification data D1 is transmitted from each terminal device 12 to the SNS server 11 via the network 13, and from the SNS server 11 to the product recommendation device 14 via the network 13. User identification data D1 may be transmitted. Further, the recommended product output information D2 may be transmitted from the product recommendation device 14 to the SNS server 11 via the network 13, and the recommended product output information D2 may be transmitted from the SNS server 11 to each terminal device 12 via the network 13.

  The user identification data D1 may be transmitted from each terminal device 12 to the EC servers EC0 to ECn via the network 13, and may be transmitted from the EC servers EC0 to ECn to the product recommendation device 14 via the network 13. The recommended product output information D2 may be transmitted from the product recommendation device 14 to the EC servers EC0 to ECn via the network 13, and may be transmitted from the EC servers EC0 to ECn to the terminal devices 12 via the network 13.

  Next, a configuration example of the terminal device 12 will be described.

  FIG. 4 is a block diagram illustrating an example of a functional configuration of the terminal device 12. The terminal device 12 of this example includes a terminal input unit 20, a terminal communication unit 23 (terminal transmission unit 21 and terminal reception unit 22), a display control unit 24, a display unit 25, and a terminal system controller 26.

  The terminal input unit 20 includes an operation unit that is directly operated by a user to input data such as a user ID, a password, and a search word, and an information specifying unit that specifies data input via the operation unit Including. For example, when the terminal device 12 is a portable terminal such as a smartphone, buttons and a touch panel provided on the terminal device 12 can be used as an operation unit. The user can input data by an arbitrary method via the operation unit, and may input the data directly, or may select one or more desired ones from a plurality of candidates displayed on the display unit 25. It may be input by selecting the data types.

  Data input by the user via the operation unit of the terminal input unit 20 is specified by the information specifying unit, transmitted to the terminal transmission unit 21 (terminal communication unit 23), and output from the terminal transmission unit 21 to the network 13. To the SNS server 11, the product recommendation device 14, or the EC servers EC0 to ECn. On the other hand, data such as recommended product output information D2 sent from the SNS server 11, the product recommendation device 14 or the EC servers EC0 to ECn is received by the terminal reception unit 22 (terminal communication unit 23), and is displayed. Sent to.

  The display control unit 24 controls the display unit 25 and causes the display unit 25 to display data such as recommended product output information D2 sent from the terminal reception unit 22. For example, when the image data of the recommended product determined by the product recommendation device 14 is included in the recommended product output information D2, the display control unit 24, based on the image data of the recommended product included in the recommended product output information D2, An image of the recommended product is displayed on the display unit 25.

  The terminal system controller 26 controls the terminal communication unit 23 (the terminal transmission unit 21 and the terminal reception unit 22), the terminal input unit 20 and the display control unit 24 to cause each unit to execute the above-described processing or other processing. Each part (not shown) of the terminal device 12 is also controlled. For example, in the user authentication process, the terminal system controller 26 controls the terminal input unit 20 and the terminal communication unit 23, and user identification data D1 input by the user via the terminal input unit 20 is transmitted via the terminal transmission unit 21 and the network 13. To the devices that perform user authentication (SNS server 11, product recommendation device 14, EC servers EC0 to ECn, etc.). In addition, the terminal system controller 26 controls the terminal input unit 20, the terminal receiving unit 22, and the display control unit 24 to transmit from devices that perform user authentication (such as the SNS server 11, the product recommendation device 14, or the EC servers EC0 to ECn). The authentication result information indicating the result of the user authentication and the recommended product output information D2 are received, and whether or not the user authentication is appropriate is displayed on the display unit 25 and the recommended product is displayed.

  FIG. 5 is a plan view showing an example of an input screen for user identification data D <b> 1 on the display unit 25 of the terminal device 12. In this example, the terminal device 12 is a portable terminal in which the user identification data D1 is configured by a combination of a user ID and a password, and the touch panel provided on the display unit 25 is the terminal input unit 20.

  The user inputs a user ID and password set for each user to the terminal device 12 for authentication that the user is an appropriate user. In the example shown in FIG. 5, an ID input field 27, a password input field 28, and a software keyboard 29 are displayed on the display unit 25. The ID input field 27 is a field for a user to input a user ID, and the password input field 28 is a field for the user to input a password. The user uses the software keyboard 29 to input the user ID assigned to the user into the ID input field 27 and the password into the password input field 28.

  The software keyboard 29 is configured by an arbitrary character palette and a touch panel (display unit 25 and terminal input unit 20) displayed on the display unit 25, and a location corresponding to each character palette displayed on the display unit 25 in the touch panel. When the user touches, a character or the like corresponding to the touch position is input to the ID input field 27 or the password input field 28. The character palette displayed on the display unit 25 as the software keyboard 29 is not particularly limited, and includes not only input characters such as hiragana, alphabets, numbers and symbols, but also space keys, enter keys, delete keys, display switching keys, and the like. Function keys can also be displayed on the display unit 25 as a software keyboard 29.

  For example, when the touch panel (display unit 25 and terminal input unit 20) at a position corresponding to the ID input field 27 is touched by the user, the terminal device 12 (terminal system controller 26) shifts to the user ID input mode, and the user performs software The user ID can be entered in the ID input field 27 using the wear keyboard 29. Similarly, for example, when the touch panel at a position corresponding to the password input field 28 is touched by the user, the terminal device 12 (terminal system controller 26) shifts to the password input mode, and the user uses the software keyboard 29 to enter the password. It can be entered in the password input field 28. When the user ID and password are input, the user touches the touch panel (display unit 25 and terminal input unit 20) at a position corresponding to the enter key of the software keyboard 29, whereby authentication processing is performed. As a result of authentication, when the combination of the input user ID and password is appropriate, the display on the display unit 25 shifts to the processing screen after login, and when the combination of the user ID and password is inappropriate, the display unit 25 is displayed. Is transferred to a pre-login screen that prompts the user to re-enter the user ID and password.

  Next, specific modes of the recommended product determination method and the information presentation method by the product recommendation device 14 will be described.

<First Embodiment>
FIG. 6 is a diagram illustrating a functional configuration example of the product recommendation device 14.

  The product recommendation device 14 of this example includes a use user specifying unit 31, a group specifying unit 32, a recommended product specifying unit 33, and a recommended product information output unit 34.

  The use user specifying unit 31 acquires user identification data D1 for specifying a user who uses each terminal device 12, specifies a user associated with the user identification data D1, and uses the information regarding the specified user. The user identification information D11 is output.

  Note that the user identification data D1 may be input directly from each terminal device 12 to the use user specifying unit 31 (product recommendation device 14), or may be input from each terminal device 12 to another device (for example, the SNS server 11 or the EC server). EC0 to ECn, etc.) may be input to the use user specifying unit 31.

  The method for acquiring the use user specifying information D11 from the user identification data D1 is not particularly limited, but the use user specifying unit 31 of this example accesses the user database 35 and stores user information (described later). By referring to FIG. 8, the user identification information D11 is acquired. Note that the use user identification information D11 may include various types of information related to a user who operates the terminal device 12 (that is, a recommended user).

  The group specifying unit 32 specifies the reference group to which the user using the terminal device 12 belongs based on the used user specifying information D11 output from the used user specifying unit 31, and the reference group information D12 indicating the specified reference group. Is output.

  The method for acquiring the reference group information D12 from the used user identification information D11 is not particularly limited, but the group identification unit 32 of this example accesses the user database 35 and stores user information (described below) in the user database 35. Reference group information D12 is acquired by referring to FIG.

  Based on the reference group information D12 output from the group specifying unit 32, the recommended product specifying unit 33 specifies recommended product information that is information on products recommended for other users belonging to the reference group, and Based on the recommended product information, a recommended product for the recommended user is identified. In particular, the recommended product specifying unit 33 of this example specifies products other than products recommended for other users belonging to the reference group as recommended products.

  FIG. 7 is a diagram illustrating a functional configuration example of the recommended product identification unit 33 according to the first embodiment. The recommended product specifying unit 33 of this example includes an other user specifying unit 41, a recommended product specifying unit 42, and a recommended product determining unit 43.

  Based on the reference group information D12, the other user specifying unit 41 acquires other user specifying information D21 that specifies other users other than the user who uses the terminal device 12 and belongs to the reference group. Although the acquisition method of this other user specific information D21 is not specifically limited, The other user specific part 41 of this example accesses the user database 35, and stores the user information (refer FIG. 8 mentioned later) memorize | stored in the user database 35. By referencing, the other user specifying information D21 is acquired based on the reference group information D12.

  The recommended product specifying unit 42 specifies the recommended product information D22 based on the other user specifying information D21 acquired by the other user specifying unit 41. The method for obtaining the recommended product information D22 is not particularly limited, but the recommended product specifying unit 42 of this example accesses the user database 35 and stores user information stored in the user database 35 (see FIG. 8 described later). The recommended product information D22 is acquired based on the other user identification information D21.

  Based on the recommended product information D22 specified by the recommended product specifying unit 42, the recommended product determination unit 43 determines a recommended product from products other than those recommended for other users belonging to the reference group. Then, the recommended product specifying information D13 indicating the determined recommended product is output. The method for obtaining the recommended product identification information D13 is not particularly limited, but the recommended product determination unit 43 of this example has recommended by accessing the product database 36 and referring to the product information held in the product database 36. The recommended product specifying information D13 is acquired based on the product information D22 (see FIGS. 8 and 9 described later).

  The recommended product specifying information D13 output from the recommended product determining unit 43 (recommended product specifying unit 33) is sent to the recommended product information output unit 34 (see FIG. 6).

  The recommended product information output unit 34 acquires recommended product information based on the recommended product specifying information D13 acquired by the recommended product specifying unit 33 (recommended product determining unit 43), and the recommended product indicating the recommended product information. Output information D2 is output. The recommended product output information D2 includes various information related to the recommended product as described above, and may include, for example, image data, specification information, inventory information, and the like of the recommended product. The method for obtaining the recommended product output information D2 is not particularly limited, but the recommended product information output unit 34 of this example accesses the product database 36 and stores product information held in the product database 36 (see FIG. 9 described later). The recommended product output information D2 is acquired from the recommended product specifying information D13.

  Next, an example data structure of user information held in the user database 35 and product information held in the product database 36 will be described.

  FIG. 8 is a conceptual diagram showing an example of the data structure of user information held in the user database 35.

  Although the content of the user information held in the user database 35 is not particularly limited, in this example, the user ID, name, age, gender, address, telephone number, e-mail address, password, first SNS group ID, first user ID of each user User information including SNS group ID 2, organization to which the user belongs, recently purchased products, desired list, recently viewed products, products recommended in the past, and other data are stored in the user database 35.

  The first SNS group ID and the second SNS group ID represent groups to which the user belongs, and are configured by symbols (including numerals, alphabets, and other characters) assigned to each group. The number of groups of each user held by the user information stored in the user database 35 is not particularly limited, and the user database 35 can hold IDs of any number of groups of 1 or 2 as user information. In addition, the group that can be held in the user information is not limited to the SNS group, and the user information of the user database 35 may include information on other arbitrary groups.

  The affiliated organization represents an organization to which each user belongs. For example, a working company, a school, and other organizations can be registered in the user database 35 as an affiliated organization of user information. The recently purchased product represents a product recently purchased by each user. The wish list represents products that are selected and desired by each user. The recently browsed product represents a product introduced on the site viewed by each user. A product recommended in the past represents a product recommended in the past for each user.

  The format of user information stored in the user database 35 is not particularly limited, and the user database 35 is arbitrary as long as various devices connected to the user database 35 can read and write necessary information as necessary. It is possible to hold user information in the form of Further, the user database 35 can be composed of one or a plurality of storage units, and user information as shown in FIG. 8 held by the user database 35 can be divided and stored in a plurality of storage units. For example, information manually registered by the user (for example, information such as name, age, gender, address, telephone number, e-mail address, password, affiliation, and desired list) and manual registration of the user are required. Information that can be automatically registered (for example, information such as the first SNS group ID to the second SNS group ID, recently purchased products, recently browsed products, and products recommended in the past). May be stored separately in a plurality of databases. In this example, a database that stores “information of products recommended in the past” may be provided separately from a database that stores other information.

  FIG. 9 is a conceptual diagram illustrating an example of a data structure of product information held in the product database 36.

  The content of the product information held in the product database 36 is not particularly limited, but in this example, the product ID, category, product image, design feature amount (color, pattern, shape, texture, sensitivity word, etc.), EC site (store) Product information including data such as brand, inventory, size and price is stored in the product database 36.

  The product ID is information that can identify each product, and is configured by symbols (including numbers, alphabets, and other characters) assigned to each product. The category indicates the genre of the product, and is classified according to the type such as tops, pants or bottoms, for example. The design feature value indicates a feature value determined from the design viewpoint of each product. Although this design feature amount is not particularly limited, in the example shown in FIG. 9, the design feature amount is configured by color, pattern, shape, texture, and sensitivity word. A method for representing each design feature amount is not particularly limited. For example, a color can be expressed using hue (H), saturation (S), and lightness (V), a pattern can be expressed using pattern size and pattern density, and the shape can be the overall shape or neck portion. It can be expressed using a shape or a characteristic shape of a part, the texture can be expressed using glossiness and transparency, and the sensitivity word is a sense derived from the psychological impression received from the product and other design features It can be expressed using typical terms. An EC site (store) can be expressed using site information and store information dealing with each product. The brand can be expressed using the name of the manufacturer that manufactured and / or developed each product and the accompanying name assigned to each product. The stock indicates the stock score of each product. The size represents the size of each product. The price indicates the selling price of each product.

  The format of the product information stored in the product database 36 is not particularly limited, and if the various devices connected to the product database 36 can read and write necessary information as necessary, the product database 36 is It is possible to hold user information in an arbitrary format. The product database 36 can be configured by a single or a plurality of storage units, and the product information as shown in FIG. 9 held by the product database 36 can also be divided into a plurality of storage units and stored.

  For example, the user identifying unit 31 (see FIG. 6) of the product recommendation device 14 refers to the user information (see FIG. 8) held in the user database 35, and the user identification data D1 (see the “User ID” column in FIG. 8). Various types of information associated with the user information can be acquired as use user identification information D11. Further, the group specifying unit 32 refers to the user information (see FIG. 8) held in the user database 35, and refers to the reference group information (see, for example, the “user ID” column in FIG. 8) used (see the “user ID” column in FIG. 8). For example, “first SNS group ID” and “second SNS group ID” in FIG. 8) can be acquired as reference group information D12.

  Further, the other user specifying unit 41 (see FIG. 7) of the recommended product specifying unit 33 refers to the user information (see FIG. 8) held in the user database 35, and the reference group information (for example, FIG. 8) indicated by the reference group information D12. (Refer to “second SNS group ID” and “second SNS group ID” column) and information indicating other users other than the recommended user (for example, “user ID” in FIG. 8) Column reference) can be acquired as the other user specifying information D21. Further, the recommended product specifying unit 42 refers to the user information (see FIG. 8) held in the user database 35, and information on other users indicated by the other user specifying information D21 (see, for example, the “User ID” column in FIG. 8). The information on the recommended product associated with the item (see, for example, the “product recommended in the past” column in FIG. 8) can be acquired as the recommended product information D22. Further, the recommended product determination unit 43 refers to product information (see FIG. 9) held in the product database 36, and information on products other than “products recommended for other users” indicated by the recommended product information D22 ( For example, “Product ID” column in FIG. 9) can be acquired as the recommended product specifying information D13.

  Further, the recommended product information output unit 34 (see FIG. 6) of the product recommendation device 14 refers to the product information (see FIG. 9) held in the product database 36, and the recommended product information (for example, FIG. 9) indicated by the recommended product specifying information D13. 9 (see “Product ID” column in FIG. 9) and other information of the recommended product (for example, “Category”, “Product Image”, “Design Feature” (“Color”, “Pattern”, “Form” in FIG. 9) , “Texture” and “sense word”) ”,“ EC site (store) ”,“ brand ”,“ inventory ”,“ size ”and“ price ”columns) can be acquired as the recommended product output information D2. .

  FIG. 10 is a flowchart of a product recommendation method performed by the product recommendation device 14 according to the first embodiment.

  When the user uses the product recommendation device 14 using the terminal device 12, the user identification data D <b> 1 is input to the terminal input unit 20 by the user and received by the use user identification unit 31 of the product recommendation device 14. Use user specifying information D11 for specifying a user to be used (that is, a user to be recommended) is acquired by the use user specifying unit 31 (S11 in FIG. 10).

  Then, the group specifying unit 32 specifies the reference group (reference group information D12) to which the user using the terminal device 12 belongs based on the acquired use user specifying information D11 (S12).

  Then, the recommended product specifying unit 33 acquires information on recommended products (recommended product information D22) for other users belonging to the reference group, and uses the terminal device 12 based on the recommended product information D22. A recommended product for the user to perform is specified (S13).

  Then, the recommended product information output unit 34 acquires and outputs various types of information (recommended product output information D2) of the recommended product (S14).

  As described above, according to the present embodiment, for each user who operates the terminal device 12, “a product already recommended for other users in the reference group to which the user belongs” is not presented as a recommended product. . Therefore, the same product is not presented as a recommended product to a plurality of users in the reference group, and it can be effectively avoided that a plurality of users in the reference group purchase the same product. Accordingly, each user who operates the terminal device 12 does not have to worry about the recommended product being the same as the recommended product of another user in the reference group, and can easily decide to purchase the recommended product to be presented.

Second Embodiment
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 11 is a diagram illustrating a functional configuration example of the recommended product specifying unit 33 according to the second embodiment. The recommended product specifying unit 33 of this example further includes a recommended candidate specifying unit 46 in addition to the other user specifying unit 41, the recommended product specifying unit 42 and the recommended product determining unit 43.

  The recommended candidate specifying unit 46 specifies recommended candidate products for the user who uses the terminal device 12, and sends recommended candidate product information D 23 indicating the recommended candidate products to the recommended product determining unit 43.

  FIG. 12 is a block diagram for explaining the outline of the processing of the recommended candidate specifying unit 46.

  Although the method for determining the recommended candidate product information D23 by the recommended candidate specifying unit 46 is not particularly limited, the recommended candidate specifying unit 46 in this example acquires the recommended candidate product information D23 based on the use user specifying information D11 and the reference group information D12. . For example, the use user specifying information D11 is input from the use user specifying unit 31 to the recommended candidate specifying unit 46, the reference group information D12 is input from the group specifying unit 32 to the recommended candidate specifying unit 46, and the recommended product specifying unit 46 receives the recommended product. The recommended candidate product information D23 is output to the determination unit 43.

  The recommendation candidate specifying unit 46 is expected to be recommended to each user based on, for example, the use user specifying information D11, the user information held in the user database 35 and the product information held in the product database 36. A product can be specified as a recommended candidate product.

  More specifically, the recommended candidate specifying unit 46 may specify recommended candidate products based on registration information of a user who uses the terminal device 12. For example, personal data of recommended users registered in the user information held in the user database 35 (for example, “age”, “sex”, “address”, “first SNS group ID”, “second” shown in FIG. SNS Group ID ”,“ Affiliation ”,“ Recently Purchased Products ”,“ Wish List ”,“ Recently Viewed Products ”,“ Pastly Recommended Products ”, and“ Other ” Alternatively, recommended candidate products may be specified based on a plurality of types of data.

  Moreover, the recommendation candidate specific | specification part 46 may specify the goods of a recommendation candidate based on the information of a reference group. For example, the recommended candidate product may be specified based on reference group information (such as personal data of other users belonging to the reference group) indicated by the reference group information D12.

  The recommended product determining unit 43 (see FIG. 11) receives the recommended product information D22 from the recommended product specifying unit 42, the recommended candidate product information D23 from the recommended candidate specifying unit 46, and from the recommended product determining unit 43. The recommended product specifying information D13 is output. That is, the recommended product determination unit 43 determines a product other than a product recommended for other users belonging to the reference group as a recommended product from among the recommended candidate products specified by the recommendation candidate specifying unit 46.

  For example, based on the recommended product information D22 and the recommended candidate product information D23, the recommended product determination unit 43 can identify a product that is expected to be recommended for each user as a recommended product. That is, the recommended product determination unit 43 excludes “recommended products for other users belonging to the reference group” indicated by the recommended product information D22 from “recommended candidate products” indicated by the recommended candidate product information D23. The remaining products may be specified as recommended products.

  Other configurations are the same as those in the first embodiment.

  As described above, according to the present embodiment, a product selected from recommended candidate products determined according to the user who operates the terminal device 12, and already recommended to other users belonging to the reference group. A product other than the product being identified is identified as a recommended product. Therefore, it is possible to accurately recommend a product that meets the user's needs while avoiding that the same product is recommended as a recommended product for a plurality of users in the reference group.

<Third Embodiment>
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 13 is a diagram illustrating a functional configuration example of the recommended product identification unit 33 according to the third embodiment. The recommended product specifying unit 33 of this example further includes a similar product specifying unit 48 in addition to the other user specifying unit 41, the recommended product specifying unit 42 and the recommended product determining unit 43.

  The similar product specifying unit 48 is similar product information that is information on products similar to products recommended for other users belonging to the reference group (hereinafter also referred to as “similar products”) based on the recommended product information D22. Information D24 is specified.

  The similar product specifying method by the similar product specifying unit 48 is not particularly limited, and the similar product specifying unit 48 selects a product similar to a product recommended for other users belonging to the reference group based on an arbitrary method. It is possible to specify the similar product and obtain information related to the similar product as the similar product information D24. For example, the similar product specifying unit 48 specifies a product recommended for another user belonging to the reference group (hereinafter, also referred to as “recommended product”) based on the recommended product information D22. The feature information of the recommended product (refer to the “color”, “pattern”, “shape”, “texture”, and “sensitivity words” columns in FIG. 9) is acquired with reference to the product information held, and the product database 36 is obtained. The “product other than the recommended product” having the same or similar design feature value as the recommended product design feature amount may be specified as the similar product with reference to the product information held by the customer.

  Based on the similar product information D24, the recommended product determination unit 43 determines recommended products from products similar to products recommended for other users belonging to the reference group (similar products), and recommended product specifying information D13 is output.

  The method for determining recommended products by the recommended product determining unit 43 is not particularly limited. The recommended product determination unit 43, for example, from the similar products indicated by the similar product information D24, personal data of the user to be recommended registered in the user information held in the user database 35 (for example, “age” shown in FIG. 8, “Gender”, “Address”, “First SNS Group ID”, “Second SNS Group ID”, “Affiliation”, “Recently Purchased Products”, “Wish List”, “Recently Viewed Products” , One or a plurality of types of data selected from “past recommended products” and “others” may be determined as recommended products.

  Other configurations are the same as those in the first embodiment.

  As described above, according to this embodiment, a product similar to a product already recommended for other users belonging to the reference group is specified as the recommended product. Therefore, products that reflect the preferences of other users in the reference group that have similarities to the recommended users while avoiding that the same products are recommended as recommended products for multiple users in the reference group Is identified as a recommended product and can effectively stimulate the user's potential purchase intention.

<Fourth embodiment>
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 14 is a diagram illustrating a functional configuration example of the recommended product identification unit 33 according to the fourth embodiment. The recommended product specifying unit 33 of this example further includes a residence information acquiring unit 50 and a related area specifying unit 51 in addition to the other user specifying unit 41, the recommended product specifying unit 42, and the recommended product determining unit 43.

  The residence information acquisition unit 50 (recommended product identification unit 33) acquires and outputs user residence information D31 indicating the residence area of the user who uses the terminal device 12. For example, the use user specifying information D11 is input from the use user specifying unit 31 to the residence information acquiring unit 50. The residence information acquisition unit 50 refers to the user information (see FIG. 8) held by the user database 35, and indicates information indicating the residence area of the recommended user based on the use user identification information D11 (for example, user ID) (FIG. 8). In the “Address” field) is acquired as the user residence information D31.

  Based on the user residence information D31, the related area specifying unit 51 (recommended product specifying unit 33) specifies a related area that is related to the living area of the user who uses the terminal device 12 (recommended user), and the related information. The related area information D32 indicating the area is output. The related area specifying method is not particularly limited, and the related area information D32 can be acquired by an arbitrary technique based on the user residence information D31. The related area may include, for example, the residential area of the recommended user and the surrounding area of the residential area, or may include only the residential area of the recommended user. For example, the related area specifying unit 51 holds map information, refers to the map information, and selects an area located within a specific distance from the “recommended area of the recommended user” indicated by the user residence information D31. It may be specified as a related area. In addition, the related area specifying unit 51 holds table information in which each living area is associated with the related area in advance, and refers to the table information to indicate “the living area of the recommended target user” indicated by the user living information D31. An associated area associated with the may be identified.

  The other user identification unit 41 identifies other users belonging to the reference group who are users other than the user using the terminal device 12 based on the related area information D32 in addition to the reference group information D12. To get. That is, the other user specifying unit 41 refers to the user information held in the user database 35, and displays the related area indicated by the related area information D32 as “another user belonging to the reference group” specified by the other user specifying information D21. Limited to users who live in the area.

  As a result, the recommended product information D22 output from the recommended product specifying unit 42 is information on products recommended for other users who belong to the reference group and have the related area as a residence area. . The recommended product specifying information D13 output from the recommended product determination unit 43 is selected from products other than products recommended for other users who belong to the reference group and have a related area as a residence area. The selected recommended product will be identified.

  Other configurations are the same as those in the first embodiment.

  As described above, according to the present embodiment, among other users belonging to the reference group, it has already been recommended to other users whose related areas are determined according to the recommended areas of residence of the users to be recommended. Products other than the current product are identified as recommended products. Therefore, it is possible to avoid that the same product is recommended as a recommended product for a plurality of users in a reference group whose residential area is a related area where the possibility of encounter is relatively high.

<Fifth Embodiment>
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 15 is a diagram illustrating a functional configuration example of the recommended product specifying unit 33 according to the fifth embodiment. The recommended product specifying unit 33 of this example further includes an organization information acquisition unit 53 and a related organization specifying unit 54 in addition to the other user specifying unit 41, the recommended product specifying unit 42, and the recommended product determining unit 43.

  The organization information acquisition unit 53 (recommended product identification unit 33) acquires and outputs user organization information D33 indicating the organization to which the user who uses the terminal device 12 belongs. For example, the user identification information D11 is input from the user identification unit 31 to the organization information acquisition unit 53. The organization information acquisition unit 53 refers to the user information held in the user database 35 (see FIG. 8), and shows information indicating the organization to which the recommended user belongs based on the used user identification information D11 (for example, user ID) (FIG. 8). In the “affiliation organization” column) is acquired as the user organization information D33.

  The related organization specifying unit 54 (recommended product specifying unit 33) specifies related organizations related to the organization to which the user using the terminal device 12 belongs based on the user organization information D33, and related organization information indicating the related organizations D34 is output. The related organization specifying method is not particularly limited, and the related organization information D34 can be acquired by an arbitrary method based on the user organization information D33. The related organizations may include, for example, an organization to which the recommended user belongs and an organization having a specific relationship with the organization to which the user belongs, or a specific geography based on the location of the organization to which the recommended user belongs. An organization having a location in an area that satisfies the target condition may be included, or only an organization to which the recommended user belongs may be included. The related organization specifying unit 54 holds, for example, table information in which each organization and related organizations are associated in advance, and refers to the table information to “organization to which recommended user belongs” indicated by the user organization information D33. An associated related organization may be specified.

  The other user identifying unit 41 identifies other users belonging to the reference group who are users other than the user who uses the terminal device 12 based on the related organization information D34 in addition to the reference group information D12. To get. That is, the other user specifying unit 41 refers to the user information held in the user database 35 and sets “other users belonging to the reference group” specified by the other user specifying information D21 to the related organization indicated by the related organization information D34. Limited to the user to which it belongs.

  Accordingly, the recommended product information D22 output from the recommended product specifying unit 42 is information on products recommended for other users belonging to the reference group and belonging to the related organization. The recommended product specifying information D13 output from the recommended product determination unit 43 is selected from products other than products recommended for other users belonging to the reference group and belonging to the related organization. The recommended product will be specified.

  Other configurations are the same as those in the first embodiment.

  As described above, according to the present embodiment, among other users belonging to the reference group, products that have already been recommended for other users belonging to related organizations determined according to the organization to which the recommended user belongs. Products other than are identified as recommended products. Therefore, it can be avoided that the same product is recommended as a recommended product for a plurality of users in a reference group belonging to a related organization that has a relatively high possibility of encounter.

<Sixth Embodiment>
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 16 is a diagram illustrating a functional configuration example of the group specifying unit 32 according to the sixth embodiment. The group identification unit 32 of this example includes a group information acquisition unit 58 and a reference group determination unit 59.

  The group information acquisition unit 58 (group identification unit 32) acquires user group information D36 indicating a group to which a user who uses the terminal device 12 belongs.

  The acquisition method of the user group information D36 by the group information acquisition unit 58 is not particularly limited. The group information acquisition unit 58 can acquire the user group information D36 by referring to, for example, user information held in the user database 35. For example, the group information acquisition unit 58 acquires information (for example, a user ID) indicating “recommended user” from the use user identification information D11, and the group to which the recommended user belongs from the user information held in the user database 35. (See “first SNS group ID” column and “second SNS group ID” column in FIG. 8) can be acquired as user group information D36.

  Based on the user group information D36, the reference group determining unit 59 (group specifying unit 32) determines a reference group from among groups to which a user who uses the terminal device 12 (that is, a recommended user) belongs.

  The reference group determination method by the reference group determination unit 59 is not particularly limited. For example, the reference group determination unit 59 holds a group having eligibility as a reference group in advance as table information, refers to the table information, and qualifies as a reference group from among the groups indicated by the user group information D36. A group having sex may be selected and determined as a reference group. The eligibility of the reference group is preferably determined based on whether or not the same product is preferably recommended to a plurality of users in the group. For example, a group formed on the basis of specific clothing-related information or a group formed on the basis of information that may directly or indirectly affect clothing-related products is eligible for the above reference group. Is likely to have.

  Other configurations are the same as those in the first embodiment.

  As described above, according to the present embodiment, the reference group is selected from the group to which the recommended user belongs, and the recommended product is specified based on the selected reference group. Therefore, by selecting a group that is not recommended for the same product as a recommended product for multiple users as a reference group, the recommended product can be selected from various products without excessively limiting the recommended product. Can be specified.

  In each embodiment described above, the number of groups included in the reference group specified by the group specifying unit 32 (reference group determining unit 59) may be singular or plural.

  Further, the recommended product specified by the recommended product specifying unit 33 (recommended product determining unit 43) may be a single product or a plurality of products. When the recommended product includes a plurality of products, the recommended product may include products of different categories, and the recommended product may include a plurality of products coordinated with each other.

  Further, the recommended product may be a product (a product belonging to the second category) that can be coordinated with a certain product (a first product belonging to the first category). Hereinafter, an example of the product recommendation device 14 that identifies a product that can be coordinated with a specific product as a recommended product will be described.

<Seventh embodiment>
In the present embodiment, the same or similar components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 17 is a diagram illustrating a functional configuration example of the product recommendation device 14 according to the seventh embodiment. The product recommendation device 14 of this example further includes a product acquisition unit 61 in addition to the use user identification unit 31, the group identification unit 32, the recommended product identification unit 33, and the recommended product information output unit 34.

  The product acquisition unit 61 receives the first product information D38, which is information of the first product belonging to the first category, acquires the first product analysis information D39 based on the first product information D38, and specifies the recommended product. To the unit 33.

  Although the acquisition method of the 1st product information D38 by the product acquisition part 61 is not specifically limited, In this embodiment, the user operates the terminal device 12 to specify the product to be the first product, and the first related to the specified product. The product information D38 is transmitted from the terminal device 12 to the product acquisition unit 61. The information included in the first product information D38 can include various information in addition to information that can identify the first product. For example, the identification number (identification ID) of the first product, the specification information of the first product, the image data of the first product, and the like can be included in the first product information D38. The first product analysis information D39 output from the product acquisition unit 61 may also include various information in addition to information that can identify the first product. For example, the first product analysis information D39 may include an identification number (identification ID) of the first product, specification information of the first product, image data of the first product, and the like. The first product analysis information D39 may include the same information as the first product information D38.

  For example, when the product information held in the product database 36 includes information related to the first product, the product acquisition unit 61 accesses the product database 36 and obtains the first product analysis information D39 from the product information held in the product database 36. You may get it. For example, when the image data of the first product is included in the first product information D38, the product acquisition unit 61 may acquire the first product analysis information D39 by analyzing the image data. It is also possible to acquire design feature quantities (for example, “color”, “pattern”, “form”, “texture”, “sensitivity word”, etc.) from image data.

  FIG. 18 is a diagram illustrating a functional configuration example of the recommended product specifying unit 33 according to the seventh embodiment. The recommended product specifying unit 33 of this example further includes a coordinate rule generating unit 64 in addition to the other user specifying unit 41, the recommended product specifying unit 42, and the recommended product determining unit 43.

  The coordination rule generation unit 64 identifies a coordination rule that is a combination rule of the product of the first category and the product of the second category, and outputs the coordination rule information D42 indicating the coordination rule to the recommended product determination unit 43 To do. The method for specifying the coordination rule by the coordination rule generation unit 64 is not particularly limited. The coordination rule generation unit 64 of this embodiment creates a coordination rule with reference to the coordination information held by the coordination database 62.

  Coordinate information held by the coordinate database 62 is not particularly limited. For example, coordinate information previously provided by a plurality of users using the terminal device 12 may be stored in the coordinate database 62, and the coordinate information stored in the coordinate database 62 may be used by the coordinate rule generation unit 64 or the like. .

  FIG. 19 is a conceptual diagram showing an example of coordination information held by the coordination database 62. Coordinate information in this example includes “coordinate number”, “product of first category” to “product of nth category” (where “n” represents an integer of 2 or more), “user ID”, “SNS” It includes information on “Group ID”, “Time Stamp”, and “Other”.

  The coordinate number shown in FIG. 19 is an identification number of coordinate information provided in the past by a plurality of users using the terminal device 12. Products in the first category to products in the nth category are combination products specified by coordinate information provided in the past, indicating products in each category coordinated with each other, and can be expressed by, for example, a product ID It is. The user ID shown in FIG. 19 is information that identifies the user who provided the coordinate information, and the SNS group ID indicates a group (SNS group) to which the user who provided the coordinate information belongs. The time stamp indicates date and time information when the coordinate information is provided.

  For example, information relating to manual coordination of a product previously performed by a plurality of users using the terminal device 12 is stored in the coordination database 62 as coordination information as shown in FIG. That is, the coordinate information includes information for specifying two or more types of products that are manually coordinated (the products in the first category to the products in the nth category), the user ID of the user who performed the manual coordination, and the user who performed the manual coordination Includes information such as a time stamp indicating the date and time when the information regarding the manual coordination was registered in the terminal device 12.

  Accordingly, in the example shown in FIG. 19, information relating to manual coordination performed by a plurality of users using the terminal device 12 is gradually accumulated as coordination information in the coordination database 62 with the passage of time. In addition, when the user ID of the user who performed manual coordination cannot be acquired, the user ID may not be recorded, or information indicating that the user is unknown may be recorded in the coordination database 62 as coordination information.

  The recommended product determining unit 43 (see FIG. 18) is based on the recommended product information D22 from the recommended product specifying unit 42 and the coordinate rule information D42 from the coordinate rule generating unit 64, and the product acquisition unit 61 (see FIG. 17). The recommended product coordinated with the first product specified by the first product analysis information D39 from the product is determined from products other than those recommended for other users belonging to the reference group.

  The method for determining recommended products by the recommended product determining unit 43 is not particularly limited. For example, the coordination rule information D42 includes information on a plurality of coordinate examples of products in the first category and products in the second category that have been performed in the past by a plurality of users using the terminal device 12, and the plurality of coordinate examples You may determine the goods of the 2nd category combined with the 1st goods from the information about as a recommended goods. In this example, the recommended product determination unit 43 determines whether or not a product once determined as a recommended product is included in “a product already recommended for other users of the reference group” specified by the recommended product information D22. Determine whether. If the product once determined as the recommended product is not included in the “product already recommended for other users of the reference group”, the product is finally determined as the recommended product and the recommended product specifying information D13 is stored. Is output. On the other hand, when the product once determined as the recommended product is included in the “product already recommended for other users of the reference group”, the first among the information on the plurality of coordinate examples included in the coordinate rule information D42. Once a product in the second category combined with the product is determined as a recommended product, the product newly determined as the recommended product is “a product already recommended for other users in the reference group”. It is determined whether it is included.

  Other configurations are the same as those in the first embodiment.

<First Modification>
In the present modification, the same reference numerals are given to the same or similar components as those in the seventh embodiment, and detailed description thereof will be omitted.

  FIG. 20 is a diagram illustrating a functional configuration of a modification of the product recommendation device 14 according to the seventh embodiment. The product recommendation device 14 of this example has a function as a coordination proposal device that proposes coordinated products to the user, and a function as a product search device that searches for products based on user operations using the terminal device 12. In addition, the product recommendation device 14 of this example functions as an affiliate server that provides services for introducing products that are handled by the EC servers EC0 to ECn (see FIGS. 1 and 2) in the client server system 10 to the user. In addition to the EC server EC0 to ECn, it functions as an electronic commerce with the terminal device 12.

  In addition to the functional configuration of the product recommendation device 14 according to the seventh embodiment described above (see FIGS. 17 and 18), the product recommendation device 14 of this example includes a recommended device communication unit 70 (recommended device transmission unit 71 and recommended device reception). Unit 72), a search unit 73, and a recording unit 74. In this example, a user database 35, a product database 36, and a coordination database 62 are provided as a part of the product recommendation device 14. Part or all of the user database 35, the product database 36, and the coordination database 62 may be provided separately from the product recommendation device 14 or may be connected to the product recommendation device 14 via the network 13. .

  The recommended device receiving unit 72 (recommended device communication unit 70) transmits data (for example, user identification data D1, search data indicating search conditions, and other items for instructing product purchase) transmitted from the terminal device 12 via the network 13. Action information and the like), the search data is transmitted to the search unit 73, and the user identification data D1 is transmitted to the use user specifying unit 31 and the coordinate rule generating unit 64.

  The search unit 73 accesses the product database 36 and refers to the product information held in the product database 36, and searches for one or more products that meet the search condition indicated by the search data. The search unit 73 refers to the product information held in the product database 36, acquires information on the product specified by the search, and uses the acquired product information as search result information to the recommended device transmission unit 71 (recommended device communication unit 70). ) And the terminal device 12 via the network 13. The search result information transmitted to the terminal device 12 includes various types of information, and may include, for example, product image data, spec information, inventory information, and the like. The terminal device 12 displays various information included in the search result information on the display unit 25 (see FIG. 4) as a search result.

  The recording unit 74 functions as a coordinate information collecting unit in cooperation with the coordinate database 62. That is, the recording unit 74 acquires coordinate information (see FIG. 19) indicating a combination of products manually coordinated by the user via the terminal device 12 from the terminal device 12 via the network 13, and acquires the acquired coordinate information. And recorded in the coordinate database 62.

  The recording timing of the coordinate information by the recording unit 74 is not particularly limited. For example, a user searches for two or more types of products using the terminal device 12, manually coordinates two or more types of products specified by the search, and some of the coordinated products in a plurality of categories Alternatively, when action information such as purchase of all products is received, the recording unit 74 may record coordinate information indicating coordinated products in a plurality of categories in the coordinate database 62. The recording unit 74 may record coordinate information provided by a plurality of users who operate the terminal device 12 in the coordinate database 62 at other timings.

  The product acquisition unit 61 is a part that acquires a product (first product) that the user wants to automatically coordinate based on the operation of the terminal device 12. Although the criteria for determining the first product are not particularly limited, the first product in this example is one product in the product group registered in the product database 36, and interest in the product in the terminal device 12 is increased. This is a product specified from the current or past operation history information shown. For example, when the user searches for a desired product using the terminal device 12 and an operation for bringing the searched product into a virtual fitting room is performed, the product brought into the virtual fitting room is the first. It can be a product. Moreover, when a user purchases a product in the past with the product recommendation device 14 or the EC servers EC0 to ECn, the purchased product can be set as the first product. Further, the product registered in the try-on list, the product registered (held) in the virtual micro closet, the product registered as a favorite, the product recommended to others, and the product requested to browse the detailed information of the product are referred to as the first product. can do. Moreover, when the image of the product recommended by the specific EC site is displayed on the display unit 25 of the terminal device 12, the product recommended by the specific EC site may be the first product. Further, when the user logs in to the site (product recommendation device 14) via the terminal device 12, the product acquisition unit 61 stores past operation history information of the user having the user ID acquired from the terminal device 12 used for login. The product specified by can be automatically set as the first product. Such past operation history information or the like is recorded as user information in the user database 35, for example, and the product acquisition unit 61 accesses the user database 35 and acquires past operation history information or the like of each user from the user information. May be.

  Information indicating the first product acquired by the product acquisition unit 61 is output to the coordination rule generation unit 64, the recommended product determination unit 43, and the recommended product information output unit 34, respectively.

  The coordinate rule generation unit 64 generates a coordinate rule customized for the user specified by the user ID. That is, when the user ID is input together with the information indicating the first product, the coordination rule generating unit 64 automatically selects the second category of products that are automatically coordinated with the first product (the user's coordinate specified by the user ID). A coordination rule for selecting a second category product that suits the user's preference is generated. The coordinate rule generation unit 64 has a function of extracting coordinate information classified for each user based on the user ID, and the coordinate database 62 stores coordinate information manually coordinated in the past by the user specified by the user ID. Extract from coordinate information to be held. The coordinate rule generation unit 64 generates a coordinate rule customized for the user specified by the user ID based on the extracted coordinate information.

  The recommended product determination unit 43 selects the product of the second category coordinated for the first product based on the information on the first product and the coordination rule generated by the coordination rule generation unit 64, from the product database 36. The product information selected in the product group is output to the recommended product information output unit 34 as the recommended product specifying information D13.

  The recommended product information output unit 34 is based on the information on the first product acquired by the product acquisition unit 61 and the information on the product in the second category selected by the recommended product determination unit 43. And the image of the product in the second category are output so that they can be simultaneously observed by the terminal device 12. The recommended product information output unit 34 may output the image of the first product and the image of the product in the second category as separate images (coordinated images). For example, the first product is tops, If the products in category 2 are pants, adjust the image size, position, orientation, etc. of the tops and pants images to generate a coordinated image with the tops and pants images in succession. An image may be output.

  The image data of the coordinated image output from the recommended product information output unit 34 is the terminal of the user who specified the product (first product) for which automatic coordination is desired via the recommended device transmission unit 71 (recommended device communication unit 70). Transmitted to the device 12. Thereby, a coordinate image can be displayed on the display unit 25 of the terminal device 12.

  While viewing the coordinated image displayed on the display unit 25 of the terminal device 12, the user can input action information such as purchase for the coordinated product to the terminal input unit 20, and the input is input to the terminal input unit 20. The action information is transmitted to the product recommendation device 14 via the terminal transmission unit 21 (terminal communication unit 23) and the network 13.

  Other configurations are the same as those in the seventh embodiment.

<Second Modification>
In the present modification, the same reference numerals are given to the same or similar components as those in the seventh embodiment, and detailed description thereof will be omitted.

  This modification relates to a processing example suitable for a case where a user (recommended user) who operates the terminal device 12 does not belong to a reference group.

  FIG. 21 is a flowchart showing a processing flow of another modification of the product recommendation device 14 according to the seventh embodiment.

  First, a product image is displayed on the display unit 25 of the terminal device 12 (S21 in FIG. 21), and the user operates the terminal input unit 20 to specify the first product belonging to the first category. When the user specifies the first product, information on the first product (user identification data D1) is sent from the terminal device 12 (terminal input unit 20) to the product recommendation device 14, and the product acquisition unit 61 ( (See FIG. 17).

  The product acquisition unit 61 waits for the user to specify the first product (N in S22). When the first product information D38 is sent from the terminal device 12 (Y in S22), the first product is specified. A notification of completion is sent to the group identification unit 32.

  The group specifying unit 32 refers to the user database 35 based on the use user specifying information D11 specified by the use user specifying unit 31 in accordance with the user identification data D1 sent from the terminal device 12, and determines the terminal device 12 It is determined whether the recommended user to be used belongs to a reference group (S23).

  When it is determined that the user to be recommended using the terminal device 12 does not belong to the reference group (N in S23), the recommended product specifying unit 33 specifies the recommended product based on the use user specifying information D11 and recommends it. The product specifying information D13 is output. That is, the coordination rule generation unit 64 (see FIG. 18) of the recommended product identification unit 33 refers to the coordination information held by the coordination database 62, and acquires personal coordination rule information D42 related to the recommended user (S24). The acquisition method of the personal coordinate rule information D42 is not particularly limited. For example, the personal coordinate rule information D42 is created and acquired based on only information related to the recommended user among the coordinate information held in the coordinate database 62. can do. The recommended product determination unit 43 includes personal coordinate rule information D42 from the coordinate rule generation unit 64, first product analysis information D39 from the product acquisition unit 61, and recommended product information D22 from the recommended product specification unit 42. Based on the above, the product belonging to the second category that can be coordinated with the first product is identified as the recommended product (S25), and the recommended product identification information D13 is output.

  When it is determined that the recommended user does not belong to the reference group (N in S23), the reference group information D12 acquired by the group specifying unit 32 indicates “no reference group” and acquired by the other user specifying unit 41. The other user specifying information D21 indicating “no other user” indicates that the recommended product information D22 acquired by the recommended product specifying unit 42 indicates “no recommended product”. In this case, the recommended product determination unit 43 substantially does not consider the recommended product information D22 from the recommended product specification unit 42, and the personal coordinate rule information D42 and the product acquisition unit from the coordinate rule generation unit 64 Based on the first product analysis information D39 from 61, a product belonging to the second category that can be coordinated with the first product may be specified as a recommended product (S25).

  On the other hand, when it is determined that the recommended user who uses the terminal device 12 belongs to the reference group (Y in S23), the recommended product specifying unit 33 specifies the recommended product based on the recommended product information D22. The recommended product specifying information D13 is output. That is, the coordination rule generation unit 64 of the recommended product identification unit 33 refers to the coordination information held in the coordination database 62 and acquires the coordination rule information D42 for the group related to the recommended user (S26). The acquisition method of the coordinate rule information D42 for the group is not particularly limited. For example, the coordinate rule for the group is based on information about users belonging to the reference group to which the recommended user belongs among the coordinate information held in the coordinate database 62. Information D42 can be created and acquired. The recommended product determination unit 43 includes group coordination rule information D42 from the coordinate rule generation unit 64, first product analysis information D39 from the product acquisition unit 61, and recommended product information D22 from the recommended product specification unit 42. Based on the above, the product belonging to the second category that can be coordinated with the first product is specified as the recommended product (S27). The recommended product determination unit 43 determines whether the product once specified as the recommended product is included in the products already recommended for other users of the reference group based on the recommended product information D22 (S28). ). When it is determined that the product once identified as the recommended product is included in the products already recommended for other users of the reference group (Y in S28), the recommended product determination unit 43 selects the other second category. Are identified as recommended products (S27). On the other hand, when it is determined that the product once identified as the recommended product is not included in the products already recommended to other users of the reference group (N in S28), the recommended product determination unit 43 recommends the recommended product. The product specifying information D13 is output.

  The recommended product information output unit 34 is based on the recommended product specifying information D13 output from the recommended product specifying unit 33 (recommended product determining unit 43), and the recommended products belonging to the first category and the second category. A coordinate image related to the product is generated and output as recommended product output information D2 (S29).

  Based on the recommended product output information D2 output from the recommended product information output unit 34 (product recommended device 14), the terminal device 12 displays a coordinated image related to the first product and the recommended product on the display unit 25 (S30). Thereby, the user who operates the terminal device 12 can confirm the degree of harmony of the recommended product with respect to the first product by checking the display unit 25, and if necessary, the purchase action of the recommended product. Etc. can be performed.

  Other configurations are the same as those in the seventh embodiment.

<Third Modification>
In the present modification, the same or similar components as those in the first modification of the above-described seventh embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 22 is a diagram illustrating a functional configuration of another modified example of the product recommendation device 14 according to the seventh embodiment. The product recommendation device 14 according to the present modification has the same functional configuration as the product recommendation device 14 of the first modification shown in FIG. 20 described above, and further includes a first similar product search unit 76. FIG. 22 shows only a part of the functional configuration of the product recommendation device 14.

  The product acquisition unit 61 receives the first product information (first product information D38) belonging to the first category as in the seventh embodiment described above, but uses the first product analysis information D39 as the first similarity. The information is output to the product search unit 76 and the coordinate rule generation unit 64.

  The first similar product search unit 76 receives the information (first product analysis information D39) related to the first product acquired by the product acquisition unit 61, and the first similar product belongs to the first category similar to the first product. The product is specified from the product group registered in the product information of the product database 36.

  The specific identification method of the first similar product is not particularly limited. For example, the first similar product search unit 76 accesses the product database 36, and designs feature values (color feature values, pattern feature values, shape feature values, and texture feature values such as physical feature values, etc.) of the image of the first product. And a sensitivity word) may be acquired. In this case, the first similar product search unit 76 compares the design feature value of the acquired image of the first product with the design feature value of the image of the product other than the first product, and first based on the comparison result. A first similar product similar to the product is identified. For example, the difference between the design feature value of the image of the first product, which is a physical measurement value of the product image, and the design feature value of the image of the product other than the first product is within a predetermined threshold (for example, within 10%). The product may be searched, and the product specified by the search may be the first similar product. Note that the first similar product search unit 76 may decrease the threshold when the number of products to be searched is large, and increase the threshold when the product is not searched, and search again.

  Information about the first similar product specified by the first similar product search unit 76 is output to the recommended product determination unit 43 and the recommended product information output unit 34. The recommended product in this example includes a product belonging to the second category combined with the first similar product.

  That is, also in this example, the other user specifying unit 41 (see FIG. 20) acquires other user specifying information D21 that specifies another user belonging to the reference group, and the recommended product specifying unit 42 is based on the other user specifying information D21. The recommended product information D22 is specified. Further, the coordination rule generation unit 64 specifies a coordination rule that is a combination rule of the first category product and the second category product, and outputs the coordination rule information D42 to the recommended product determination unit 43.

  However, the recommended product determination unit 43 is generated by the information on the first similar product from the first similar product search unit 76, the recommended product information D22 from the recommended product specification unit 42, and the coordinate rule generation unit 64. Products belonging to the second category coordinated with the first similar product among products other than those recommended for other users belonging to the reference group based on the coordinate rule (coordinate rule information D42) Determine the recommended product. More specifically, the recommended product determination unit 43 selects a product in the second category that can be coordinated with the first similar product from the product group registered in the product database 36, and selects the product. The selected second category product is specified as the recommended product.

  The recommended product information output unit 34 includes information on the first similar product specified by the first similar product search unit 76, information on the recommended product specified by the recommended product determination unit 43 (recommended product specifying information D13), and Based on the above, the recommended product output information D2 including the image data of the first similar product and the image data of the recommended product is generated and output.

  Thereby, the image (coordinated image) of the first similar product and the recommended product can be displayed on the display unit 25 of the terminal device 12, and the first similar product and the recommended product different from the first product for which automatic coordination is desired are recommended. Coordinates based on combinations with products can be proposed.

  Other configurations are the same as those of the first modification described above.

<Fourth Modification>
In the present modification, the same or similar components as those in the first modification of the above-described seventh embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

  FIG. 23 is a diagram illustrating a functional configuration of another modified example of the product recommendation device 14 according to the seventh embodiment. The product recommendation device 14 according to this modification has the same functional configuration as the product recommendation device 14 according to the first modification shown in FIG. 20 described above, but the recommended product determination unit 43 of this example is a candidate product specification unit 77. And a second similar product search unit 78. FIG. 23 shows only a part of the functional configuration of the product recommendation device 14.

  The candidate product specifying unit 77 specifies candidate products of recommended products belonging to the second category from products other than products recommended for other users belonging to the reference group, and stores information indicating the candidate products. 2 to the similar product search unit 78. That is, the recommended product information D22 from the recommended product specification unit 42 is input to the candidate product specification unit 77, the first product analysis information D39 is input from the product acquisition unit 61, and the coordinate rule information D42 is input from the coordinate rule generation unit 64. Is entered. The candidate product specifying unit 77 refers to the product information held by the product database 36 and is coordinated with the first product specified by the first product analysis information D39 based on the recommended product information D22 and the coordinate rule information D42. A candidate product belonging to the second category is identified.

  The second similar product search unit 78 selects a product belonging to the second category similar to the candidate product specified by the candidate product specifying unit 77 from the product group registered in the product database 36 and recommends the product. As specified.

  Note that the method for specifying “recommended products similar to candidate products” by the second similar product search unit 78 is the same as the method for specifying the first similar product by the first similar product search unit 76 of the third modification described above. It is the same.

  The recommended product information specified by the second similar product search unit 78 is output to the recommended product information output unit 34 as recommended product specifying information D13.

  The recommended product information output unit 34 includes the information on the first product acquired by the product acquisition unit 61 and the recommendation specified by the second similar product search unit 78 (recommended product determination unit 43 (recommended product specifying unit 33)). Based on the product information, the recommended product output information D2 including the image data of the first product and the image data of the recommended product is generated and output.

  Thereby, the image (coordinated image) of the first product and the recommended product can be displayed on the display unit 25 of the terminal device 12, and the first product desired to be coordinated and the first product automatically coordinated with the first product. Coordination based on combinations with products similar to the two categories of products (recommended products) can be proposed.

  Other configurations are the same as those of the first modification described above.

<Fifth Modification>
This modification relates to a combination of the third modification and the fourth modification described above. In this modification, the same reference numerals are given to the same or similar components as those in the third modification and the fourth modification of the seventh embodiment described above, and detailed description thereof will be omitted.

  FIG. 24 is a diagram illustrating a functional configuration of another modified example of the product recommendation device 14 according to the seventh embodiment. The product recommendation device 14 according to the present modification has the same functional configuration as the product recommendation device 14 of the first modification shown in FIG. 20 described above, and further includes a first similar product search unit 76. The recommended product determination unit 43 includes a candidate product specifying unit 77 and a second similar product search unit 78. FIG. 24 shows only a part of the functional configuration of the product recommendation device 14.

  The recommended product information output unit 34 of the present modification includes information on the first similar product specified by the first similar product search unit 76 and information on the recommended product specified by the second similar product search unit 78. (Recommended product identification information D13) is input. The recommended product information output unit 34 includes recommended product output information including image data of the first similar product and image data of the second similar product based on the information on the first similar product and the information on the recommended product. Generate and output D2.

According to this modification, a coordination between a first similar product different from the first product for which automatic coordination is desired and a recommended product similar to a candidate product automatically coordinated with respect to the first similar product is proposed. Other configurations that can be performed are the same as those of the third and fourth modifications described above.

<Other variations>
Arbitrary forms and examples may be combined among the above-described embodiments and modifications. Moreover, the above-mentioned embodiment and modification are only illustrations, and you may apply this invention to another structure.

  For example, the above-described configurations and functions can be appropriately realized by arbitrary hardware, software, or a combination of both. For example, a product recommendation method for executing the above-described processing steps, a program for causing a computer to execute the above-described processing procedure, a computer-readable recording medium (non-temporary recording medium) recording such a program, or such a program The present invention can also be applied to a computer that can install Windows.

  DESCRIPTION OF SYMBOLS 10 ... Client server system, 11 ... SNS server, 12 ... Terminal device, 13 ... Network, 14 ... Goods recommendation apparatus, 20 ... Terminal input part, 21 ... Terminal transmission part, 22 ... Terminal reception part, 23 ... Terminal communication part, 24 ... Display control unit, 25 ... Display unit, 26 ... Terminal system controller, 27 ... ID input column, 28 ... Password input column, 29 ... Software keyboard, 31 ... User user specifying unit, 32 ... Group specifying unit, 33 ... Recommended product specifying unit 34 ... Recommended product information output unit 35 ... User database 36 ... Product database 41 ... Other user specifying unit 42 ... Recommended product specifying unit 43 ... Recommended product determining unit 46 ... Recommended candidate specifying 48, a similar product specifying unit, 50 ... a residence information acquiring unit, 51 ... a related area specifying unit, 53 ... an organization information acquiring unit, 54 ... a related organization specifying unit, 58 Group information acquisition unit, 59 ... reference group determination unit, 61 ... product acquisition unit, 62 ... coordinate database, 64 ... coordinate rule generation unit, 70 ... recommended device communication unit, 71 ... recommended device transmission unit, 72 ... recommended device reception unit 73 ... Searching unit, 74 ... Recording unit, 76 ... First similar product searching unit, 77 ... Candidate product specifying unit, 78 ... Second similar product searching unit

Claims (18)

A product recommendation device connected to a terminal device via a network,
A used user specifying unit for acquiring used user specifying information for specifying a user who uses the terminal device;
A group specifying unit for specifying a reference group to which a user using the terminal device belongs based on the use user specifying information;
Recommendation that specifies recommended product information that is information of products recommended for other users belonging to the reference group, and that specifies recommended products for users who use the terminal device based on the recommended product information A product identification part;
A recommended product information output unit that outputs information of the recommended product,
The recommended product specifying unit specifies a product other than a product recommended for other users belonging to the reference group as the recommended product. The recommended product identification unit is
Other user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group;
A recommended product specifying unit for specifying the recommended product information based on the other user specifying information;
The recommended product determination unit according to claim 1, further comprising: a recommended product determination unit that determines the recommended product from products other than products recommended for other users belonging to the reference group based on the recommended product information. Product recommendation device. The recommended product specifying unit further includes a recommended candidate specifying unit that specifies recommended candidate products for a user who uses the terminal device,
The product recommendation device according to claim 2, wherein the recommended product determination unit determines a product other than a product recommended for another user belonging to the reference group as the recommended product from the recommended candidate products. .   The product recommendation device according to claim 3, wherein the recommendation candidate specifying unit specifies the recommended candidate product based on registration information of a user who uses the terminal device.   The product recommendation device according to claim 3, wherein the recommendation candidate specifying unit specifies the recommended candidate product based on information of the reference group. The recommended product identification unit is
Other user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group;
A recommended product specifying unit for specifying the recommended product information based on the other user specifying information;
Based on the recommended product information, a similar product specifying unit that specifies similar product information that is information on products similar to products recommended for other users belonging to the reference group;
The recommended product determination unit that determines the recommended product from products similar to products recommended to other users belonging to the reference group based on the similar product information. Product recommendation device.   The product recommendation device according to any one of claims 1 to 6, wherein the recommended product is a single product.   The product recommendation device according to any one of claims 1 to 6, wherein the recommended product is a plurality of products.   The product recommendation device according to claim 8, wherein the plurality of products included in the recommended product are products of different categories and coordinated with each other. A product acquisition unit for inputting information on the first product belonging to the first category;
The recommended product includes a product belonging to a second category combined with the first product,
The recommended product identification unit is
Other user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group;
A recommended product specifying unit for specifying the recommended product information based on the other user specifying information;
A coordination rule generating unit that identifies a coordination rule that is a rule of combination of the first category of products and the second category of products;
A recommended product determination unit that determines the recommended product from products other than products recommended for other users belonging to the reference group based on the recommended product information and the coordination rule. The product recommendation device according to 1. A product acquisition unit into which information on the first product belonging to the first category is input;
A first similar product search unit for identifying a first similar product belonging to a first category similar to the first product,
The recommended product includes a product belonging to a second category combined with the first similar product,
The recommended product identification unit is
Other user specifying unit for acquiring other user specifying information for specifying other users belonging to the reference group;
A recommended product specifying unit for specifying the recommended product information based on the other user specifying information;
A coordination rule generating unit that identifies a coordination rule that is a rule of combination of the first category of products and the second category of products;
A recommended product determination unit that determines the recommended product from products other than products recommended for other users belonging to the reference group based on the recommended product information and the coordination rule. The product recommendation device according to 1. The recommended product determination unit
A candidate product specifying unit for specifying candidate products belonging to the second category from products other than those recommended for other users belonging to the reference group;
The product recommendation device according to claim 10 or 11, further comprising: a second similar product search unit that determines the recommended product belonging to the second category similar to the candidate product. The recommended product identification unit is
Obtaining user residence information indicating the residence area of the user using the terminal device;
Based on the user residence information, specify a related area that is related to the residential area of the user who uses the terminal device,
2. The recommended product is specified based on the recommended product information that is information of a product recommended for another user who belongs to the reference group and uses the related area as a residence area. The product recommendation apparatus as described in any one of -12. The recommended product identification unit is
Obtaining user organization information indicating an organization to which a user using the terminal device belongs,
Based on the user organization information, the related organization related to the organization to which the user who uses the terminal device belongs is specified,
13. The recommended product according to claim 1, wherein the recommended product is specified based on the recommended product information which is information of a product recommended for another user who belongs to the reference group and belongs to the related organization. The product recommendation device according to any one of the above. The group specifying unit
Obtaining user group information indicating a group to which a user using the terminal device belongs,
The product recommendation device according to any one of claims 1 to 14, wherein the reference group is determined from a group to which a user who uses the terminal device belongs based on the user group information. The group specifying unit determines whether the user using the terminal device belongs to the reference group based on the use user specifying information,
When it is determined that the user who uses the terminal device belongs to the reference group, the recommended product specifying unit specifies the recommended product based on the recommended product information and uses the terminal device. The product recommendation device according to any one of claims 1 to 15, wherein when it is determined that the user who does not belong to the reference group, the recommended product is specified based on the use user specifying information.   The product recommendation device according to any one of claims 1 to 16, wherein the recommended product is a clothing-related product. A product recommendation method performed by a product recommendation device connected to a terminal device via a network,
Obtaining use user specifying information for specifying a user who uses the terminal device;
Identifying a reference group to which a user using the terminal device belongs, based on the use user identification information;
Obtaining recommended product information which is information of a product recommended for other users belonging to the reference group, and identifying a recommended product for a user who uses the terminal device based on the recommended product information When,
Outputting information of the recommended product,
A product recommendation method in which a product other than a product recommended for other users belonging to the reference group is specified as the recommended product.

Images