JP7060756B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To appropriately provide a service according to a size of a target user based on evaluation information from a plurality of users. An information processing apparatus according to the present application includes an acquisition unit, a generation unit, and a provision unit. The acquisition unit acquires the first evaluation information indicating the evaluation by the user for one or more sizes of a specific target having a plurality of sizes. The generation unit generates first correlation information indicating the first correlation between different sizes of a plurality of specific targets based on the first evaluation information acquired by the acquisition unit. The providing unit provides a service according to the size of the target user based on the first correlation information generated by the generating unit. [Selection diagram] FIG. 5

Description

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

Conventionally, a technique for proposing a specific target such as footwear or clothing suitable for a target user has been known. For example, there is known a technique of proposing a size of a specific target suitable for a target user based on the evaluation of another user with respect to the size of the specific target.

Japanese Patent No. 5256362

However, in the conventional technique, it is not possible to provide a service suitable for a target user based on the correlation between one size having a different specific target.

The present application has been made in view of the above, and an object of the present application is to appropriately provide a service according to the size of a target user based on evaluation information from a plurality of users.

The information processing apparatus according to the present application is based on an acquisition unit that acquires first evaluation information indicating an evaluation by a user for one or more sizes of a specific object having a plurality of sizes, and a first evaluation information acquired by the acquisition unit. The size of the target user is based on the generation unit that generates the first correlation information indicating the first correlation between the different sizes of the specific target and the first correlation information generated by the generation unit. It is characterized by having a providing unit that provides services according to the above.

According to one aspect of the embodiment, it is possible to appropriately provide a service according to the size of the target user based on the evaluation information from a plurality of users.

FIG. 1 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 2 is a diagram showing an example of information processing according to an embodiment. FIG. 3 is a diagram showing an example of the second evaluation information according to the embodiment. FIG. 4 is a diagram showing a configuration example of the terminal device according to the embodiment. FIG. 5 is a diagram showing a configuration example of the information processing apparatus according to the embodiment. FIG. 6 is a diagram showing an example of the first evaluation information storage unit according to the embodiment. FIG. 7 is a diagram showing an example of the second evaluation information storage unit according to the embodiment. FIG. 8 is a diagram showing an example of a user information storage unit according to an embodiment. FIG. 9 is a diagram showing an example of a specific target information storage unit according to an embodiment. FIG. 10 is a diagram showing a configuration example of the management server according to the embodiment. FIG. 11 is a flowchart showing an example of information processing according to the embodiment. FIG. 12 is a diagram showing an example of information processing according to a modified example. FIG. 13 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, an information processing apparatus, an information processing method, and an embodiment for implementing an information processing program (hereinafter referred to as “embodiments”) according to the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

(Embodiment)
[1. Information processing system configuration]
The information processing system 1 shown in FIG. 1 will be described. As shown in FIG. 1, the information processing system 1 includes a terminal device 10, an information processing device 100, and a management server 200. The terminal device 10, the information processing device 100, and the management server 200 are connected to each other via a predetermined communication network (network N) so as to be communicable by wire or wirelessly. FIG. 1 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. The information processing system 1 shown in FIG. 1 may include a plurality of terminal devices 10, a plurality of information processing devices 100, and a plurality of management servers 200.

The terminal device 10 is an information processing device used by the user. The terminal device 10 may be any device as long as the processing in the embodiment can be realized. Further, the terminal device 10 may be a device such as a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, or a PDA. In the example shown in FIG. 2, a case where the terminal device 10 is a smartphone is shown.

The terminal device 10 is, for example, a smart device such as a smartphone or a tablet, and is a mobile terminal device capable of communicating with an arbitrary server device via a wireless communication network such as 3G (Generation) or LTE (Long Term Evolution). Is. Further, the terminal device 10 is a screen such as a liquid crystal display and has a screen having a touch panel function, and various types of display data such as contents such as tap operation, slide operation, scroll operation, etc. from the user by a finger, stylus, or the like. You may accept the operation of.

In FIG. 2, the terminal device 10 ₁ is used by the user U 11, the terminal device 10 ₂ is used by the user U 12, the terminal device 10 ₃ is used by the user U 13, and the terminal device 10 ₄ is used by the user U 14. In the following, when it is not necessary to distinguish between the terminal devices 10 ₁ , 10 ₂ , 10 ₃ and 10 ₄ , it is referred to as “terminal device 10”. When it is not necessary to distinguish the users U11, U12, U13 and U14, it is simply expressed as "user". Further, in the following, the terminal device 10 may be referred to as a user. That is, in the following, the user can be read as the terminal device 10.

Note that FIG. 2 shows a case where the user is a user who has tried on the specific target in order to evaluate the size of the specific target (hereinafter, appropriately referred to as an “evaluation user”). For example, the evaluation user is a user who has expertise in evaluating the size of a specific object. For example, the evaluation user is a seller (clerk, store staff, etc.) who sells a specific target. The evaluation user, for example, uses a fitting tool (for example, an application) predetermined for the evaluation user to answer the fitting degree of the size of the specific target. The method by which the evaluation user answers the fitting degree of the size of the specific target is not limited to the method using the fitting tool predetermined for the evaluation user. For example, the evaluation user may respond in the same manner as the purchasing user described later.

The evaluation user tries on specific targets of a plurality of sizes in order, and answers the fitting degree of each size of the specific target (for example, all sizes of the specific target). Therefore, in FIG. 2, the information processing apparatus 100 acquires evaluation information indicating evaluation by the evaluation user for each size of the specific target. In other words, the information processing apparatus 100 acquires evaluation information indicating the fitting degree for each size of the specific target (for example, for each size of all sizes of the specific target) for each evaluation user.

In FIG. 12, the terminal device 10 ₁₁ is used by the user U 21, the terminal device 10 ₁₂ is used by the user U 22, the terminal device 10 ₁₃ is used by the user U 23, and the terminal device 10 ₁₄ is used by the user U 24. In the following, when it is not necessary to distinguish between the terminal devices 10 ₁₁ , 10 _{12 12} , 10 ₁₃ and 10 ₁₄ , it is referred to as “terminal device 10”. When it is not necessary to distinguish the users U21, U22, U23 and U24, it is simply expressed as "user".

Note that FIG. 12 shows a case where the user is a user who purchased and used the specific target (hereinafter, appropriately referred to as a “purchasing user”). For example, the purchasing user is a general user who has purchased a specific target in a predetermined electronic shopping district. The purchasing user answers the fitting degree of the specific target size by using, for example, a questionnaire notified from a predetermined electronic shopping district. The method by which the purchasing user responds to the degree of fitting of the size of the specific target is not limited to the method using the questionnaire notified from the predetermined electronic shopping street. For example, the purchasing user may respond on a dedicated page (for example, a product page) for a specific target in a predetermined electronic shopping district.

The purchasing user replies the fitting degree of the size of one of the specific objects purchased by the purchasing user. Therefore, in FIG. 12, the information processing apparatus 100 acquires evaluation information indicating the evaluation by the purchasing user for one size of the specific target. In other words, the information processing apparatus 100 acquires evaluation information indicating the fitting degree of one size of the specific target for each purchasing user. Of course, if the purchasing user has purchased a plurality of specific targets having different sizes and has answered the fitting degree for each purchased size, the information processing apparatus 100 provides evaluation information for each size. get.

As described above, the user is a user who has actually worn (or worn) the specific target at least once, such as an evaluation user who tried on the specific target and a purchase user who purchased and used the specific target. The user is not limited to the evaluation user and the purchasing user as long as the user has actually worn (or worn) the specific target at least once, and may be any user.

The information processing device 100 is an information processing device for appropriately providing a service according to the size of a target user based on evaluation information from a plurality of users, and is realized by, for example, a server device, a cloud system, or the like. .. For example, the information processing apparatus 100 has a function of specifying the correlation between different sizes of a plurality of specific targets based on the evaluation information indicating the evaluation by the user for the size of the specific target. The evaluation information indicating the user's evaluation of the size of the specific target is hereinafter referred to as "first evaluation information" as appropriate. Further, the correlation between sizes with different specific targets specified based on the first evaluation information is hereinafter appropriately referred to as "first correlation", and the information indicating the first correlation is referred to as "first correlation". Information. "

The management server 200 is an information processing device for managing a predetermined electronic shopping street that provides a specific target, and is realized by, for example, a server device, a cloud system, or the like. For example, the management server 200 has a function of providing a questionnaire for making a purchase user of a specific target evaluate the specific target. In the following, the specific target may be anything as long as it can be worn (or worn) by the user, such as footwear and clothing, and is not particularly limited. For example, the specific target may be sneakers, sandals, boots, pumps, dress shoes, running shoes and the like. Further, for example, the specific target may be a top, a dress, a dress, a T-shirt, bottoms, a skirt, socks, or the like. Further, the specific target may be a ring, a brooch, or the like.

Although FIG. 1 shows a case where the information processing device 100 and the management server 200 are separate devices, the information processing device 100 and the management server 200 may be integrated.

[2. An example of information processing]
FIG. 2 is a diagram showing an example of information processing of the information processing system 1 according to the embodiment. In FIG. 2, it is assumed that the evaluation is received from the evaluation user via the terminal device 10. In FIG. 2, a case where evaluation is accepted from users U11 to U14 as an evaluation user for evaluating the size of a specific target will be described as an example, but the number of evaluation users is not particularly limited. The number of evaluation users is not limited to the case of four users U11 to U14, and may be one, two, three, or five or more.

In addition, in order to specify the first correlation by using the evaluation from the users U11 to U14 for each size, it is assumed that the users U11 to U14 are, for example, evaluation users having similar sizes. The users U11 to U14 may be, for example, an evaluation user specified based on the size information of the evaluation user. As described above, the users U11 to U14 are evaluation users who are presumed to have similar evaluation tendencies performed by the evaluation users. The users U11 to U14 may be, for example, an evaluation user specified based on the evaluation tendency of the evaluation user. The size information of the evaluation user may be measured before the evaluation or may be measured at the time of the evaluation, and is not particularly limited.

Further, in order to specify the first correlation between the sizes, it is assumed that the evaluation users who evaluate each size are the same. The target user to whom the service is provided according to the size is any user who is involved in trying on or purchasing one size of the sizes for which the first correlation is specified. Also good.

The degree of fitting is a degree based on the feeling of size felt by the evaluation user, such as looseness, tightness, pain, and a specific part of the body protruding from the specific object. In the following, "GOOD" is used as an example. Answers shall be "OK" and "BAD". For example, by selecting "GOOD" from "GOOD", "OK", and "BAD" for the size M11 of the specific target, the fitting degree of the size M11 of the specific target is answered as "GOOD". Shall be. Then, it is assumed that the first evaluation information indicating that the fitting degree of the size M11 of the specific target is answered as "GOOD" is transmitted to the information processing apparatus 100.

Hereinafter, for convenience of explanation, a case where the specific object is footwear will be described as an example. That is, it will be described assuming that the specific objects AA1 to AA3 are footwear. In FIG. 2, the case where the specific targets AA1 to AA3 are evaluated as the specific target to be evaluated by the evaluation user will be described as an example, but the number of the specific targets is not particularly limited. The number of specific targets is not limited to the three cases of specific targets AA1 to AA3, and may be one, two, four or more. For example, the number of specific targets may be all products that can be provided in a predetermined electronic shopping district, or some all products.

Further, each specific object shall have a plurality of sizes in increments of 5 mm. In FIG. 2, a case where the plurality of sizes of each specific object are 26 cm, 26.5 cm, 27 cm, and 27.5 cm will be described as an example, but the plurality of sizes of each specific object are not particularly limited. And. Further, the number of a plurality of sizes of each specific object is not particularly limited.

The information processing apparatus 100 acquires the evaluation information DT11 indicating the evaluation by the users U11 to U14 for each size of the specific target AA1 to AA3 (step S101). In the evaluation information DT11, "⊚" is "GOOD", "〇" is "OK", and "x" is "BAD".

In the evaluation information DT11, for example, the user U11 has "x" for 26 cm of the specific target AA1, "○" for 26.5 cm of the specific target AA1, and 27 cm of the specific target AA1 for each size of the specific target AA1 to AA3. Is "◎", 27.5 cm of the specific target AA1 is "x", 26 cm of the specific target AA2 is "x", 26.5 cm of the specific target AA2 is "◎", 27 cm of the specific target AA2 is "○", specific 27.5 cm of the target AA2 is "x", 26 cm of the specific target AA3 is "x", 26.5 cm of the specific target AA3 is "○", 27 cm of the specific target AA3 is "◎", 27.5 cm of the specific target AA3. Indicates that was evaluated as "x".

Further, in the evaluation information DT11, for example, the user U11 evaluated as "x", the user U12 as "x", the user U13 as "x", and the user U14 as "x" with respect to the size of the specific target AA1 of 26 cm. Show that.

For example, the user U11 tries on each size of the specific target AA1 to AA3 in order, and transmits the first evaluation information of each size of each specific target. At this time, the user U11 may transmit the first evaluation information for each size, for each of a plurality of sizes, for each specific target, or for each of a plurality of specific targets. The transmission of the first evaluation information is not particularly limited.

The information processing apparatus 100 acquires and aggregates the first evaluation information transmitted from each evaluation user (step S102). The evaluation information DT 11 is the information processing apparatus 100 that aggregates and stores the first evaluation information transmitted by each evaluation user.

Based on the acquired first evaluation information, the information processing apparatus 100 identifies the first correlation between the sizes of the specific targets AA1 to AA3 and the sizes of which the specific targets are different (step S103).

The information processing apparatus 100 specifies, for example, a first correlation between each size of the specific target AA1 and each size of the specific target AA2 and each size of the specific target AA3.

Specifically, the information processing apparatus 100 specifies the size of the specific target AA1 whose fitting degree is highly evaluated by each evaluation user, and the size of the specific target AA1 having the specified evaluation is high and the size of the specific target AA2. The first correlation with each size and each size of the specific target AA3 is specified.

Here, among the sizes of the specific target AA1, all of the users U11 to U14 evaluate the 27 cm of the specific target AA1 as "◎", so that the information processing apparatus 100 evaluates the specific target AA1 with a high evaluation. As the size, 27 cm of the specific target AA1 is specified. Then, the information processing apparatus 100 specifies the first correlation between the 27 cm of the specific target AA1 and each size of the specific target AA2 and each size of the specific target AA3.

Of the sizes of the specific target AA2, all of the users U11 to U14 evaluate the specific target AA2 as "x" with respect to 26 cm, which is different from the evaluation of the specific target AA1 with respect to 27 cm. Therefore, it is assumed that the first correlation between the specific target AA1 27 cm and the specific target AA2 26 cm is low. The information processing apparatus 100 calculates a low score indicating the first correlation between 27 cm of the specific target AA1 and 26 cm of the specific target AA2.

On the other hand, among the sizes of the specific target AA3, all of the users U11 to U14 evaluate the 27 cm of the specific target AA3 as “⊚”, which is the same as the evaluation of the specific target AA1 for 27 cm. Therefore, it is assumed that the first correlation between the specific target AA1 27 cm and the specific target AA3 27 cm is high. The information processing apparatus 100 calculates a high score indicating the first correlation between 27 cm of the specific target AA1 and 27 cm of the specific target AA3.

In addition, among the sizes of the specific target AA2, half of the users U11 to U14 evaluate the specific target AA2 as "◎" and "○" for 26.5 cm, so that the evaluation is slightly different from the evaluation for the specific target AA1 for 27 cm. different. Therefore, the first correlation between the specific target AA1 27 cm and the specific target AA2 26.5 cm is lower than the first correlation with the specific target AA3 27 cm, but the first correlation with the specific target AA2 26 cm. Expected to be higher. The information processing apparatus 100 has a score showing the first correlation between the specific target AA1 27 cm and the specific target AA2 26.5 cm lower than the score showing the first correlation with the specific target AA3 27 cm, and the specific target. Calculated higher than the score showing the first correlation of AA2 with 26 cm.

Further, among the sizes of the specific target AA2, since all of the users U11 to U14 evaluate the 27 cm of the specific target AA2 as "○", the evaluation of the specific target AA1 for 27 cm and the 26 of the specific target AA2 It is slightly different than .5 cm. Therefore, the first correlation between the specific target AA1 27 cm and the specific target AA2 27 cm is lower than the first correlation with the specific target AA2 26.5 cm, but the first correlation with the specific target AA2 26 cm. Expected to be higher. The information processing apparatus 100 has a score showing the first correlation between the specific target AA1 27 cm and the specific target AA2 27 cm lower than the score showing the first correlation with the specific target AA2 26.5 cm, and the specific target. Calculated higher than the score showing the first correlation of AA2 with 26 cm.

Then, the information processing apparatus 100 calculates a score showing the first correlation between the 27 cm of the specific target AA1 and each size of the specific target AA2 and each size of the specific target AA3, thereby making the specific target AA1 27 cm. The first correlation with each size of the specific target AA2 and each size of the specific target AA3 is specified.

In the above embodiment, the information processing apparatus 100 has shown a case where the information processing apparatus 100 specifies the first correlation between the size of the specific target AA1 having a high evaluation and each size of the specific target AA2 and each size of the specific target AA3. , Not limited to this example.

The information processing apparatus 100 specifies, for example, the size of each specific target whose fitting degree is highly evaluated by each evaluation user, and specifies the first correlation between the sizes of each specific target having a high specified evaluation. You may. For example, the information processing apparatus 100 specifies and specifies the sizes (for example, 26.5 cm and 27 cm) that each evaluation user highly evaluated the fitting degree among the sizes of the specific target AA2 in addition to the size of the specific target AA1. The first correlation between the size of the specific target AA2 having a high evaluation and the 27 cm of the specific target AA1 may be specified. Further, for example, the information processing apparatus 100 specifies and evaluates the size (for example, 27 cm) in which each evaluation user highly evaluates the fitting degree among the sizes of the specific target AA3 in addition to the size of the specific target AA1 of 27 cm. The first correlation between the size of the specific target AA3 having a high value and 27 cm of the specific target AA1 may be specified.

Further, in the above embodiment, the information processing apparatus 100 specifies 27 cm of the specific target AA1 among the sizes of the specific target AA1 as a standard for specifying the first correlation, and then sets it as 27 cm of the specific target AA1. , The case where the first correlation with each size of each specific object is specified is shown, but the present invention is not limited to this example.

The information processing apparatus 100 calculates, for example, a score indicating a first correlation between each size of each specific target, and then specifies a first correlation between sizes that are highly evaluated by each evaluation user. May be good.

The information processing apparatus 100 generates the first correlation information based on the specified first correlation (step S104).

The information processing apparatus 100 generates, for example, the first correlation information SDT 11 based on the first correlation between sizes that are highly evaluated by each evaluation user.

The first correlation information SDT11 has, for example, a high first correlation with 27 cm of the specific target AA3 with respect to 27 cm of the specific target AA1, and an average first correlation with 26.5 cm of the specific target AA2. , 27 cm of the specific target AA2 and 26.5 cm of the specific target AA3 show that the first correlation is not low but slightly low.

The information processing apparatus 100 provides a service according to the size of the target user based on the generated first correlation information (step S105). The target user is a user whose service is provided according to the size. The target user may be any user who is involved in trying on or purchasing one size of the sizes for which the first correlation is specified. Of course, the target user may be an evaluation user or a purchase user.

For example, when the target user has tried on or purchased the 27 cm specific target AA1, the information processing apparatus 100 has a high first correlation with the 27 cm of the specific target AA1 based on the first correlation information SDT11. Since it is 27 cm of the specific target AA3, it provides information for proposing a try-on or purchase of the specific target AA3 of 27 cm.

Further, the information processing apparatus 100 is based on the first correlation information SDT11, for example, when the 27 cm specific target AA1 does not suit the taste of the target user or is out of stock when the target user accesses it. Since the first correlation with 27 cm of the specific target AA1 is 26.5 cm of the specific target AA2, the information for proposing the fitting or purchase of the specific target AA2 of 26.5 cm is provided. May be good. Further, in the information processing apparatus 100, for example, 26.5 cm of the specific target AA3 having a high first correlation with 27 cm of the specific target AA1 next to 26.5 cm of the specific target AA2 is a specific target according to the preference of the target user. If it fits better than 26.5 cm of AA2, it may provide information for suggesting a try-on or purchase of a 26.5 cm specific target AA3. For example, the specific target AA3 belongs to a brand that suits the taste of the target user.

Hereinafter, the process for providing the service will be described in consideration of the preference of the target user.

As an example of the attribute of a specific target, a brand will be described as an example, but the description is not limited to this example. For example, the attribute of a specific object may be a category such as clothing or footwear, tops or bottoms, dress or dress, sneakers or sandals. Further, for example, the attribute of the specific target may be the specific target itself. In this case, the service is provided in consideration of the preference of the target user for the specific target itself.

The evaluation information indicating the evaluation by the user (for example, the evaluation user or the purchasing user) for the attribute of the specific target is hereinafter appropriately referred to as "second evaluation information". Further, the correlation between attributes having different specific targets, which is specified based on the second evaluation information, is hereinafter appropriately referred to as "second correlation", and the information indicating the second correlation is referred to as "second correlation". Information. "

The information processing apparatus 100 acquires the evaluation information DT21 (see FIG. 3) indicating the evaluation by the users U11 to U14 for each brand of the specific target AA1 to AA3. FIG. 3 is a diagram showing an example of the second evaluation information according to the embodiment. In the evaluation information DT21, "GOOD", "OK", and "BAD" are answers for the preference for each brand, and thus indicate the degree of preference.

For example, when "GOOD" is selected from "GOOD", "OK", and "BAD" for the brand BB1, the degree of preference of the brand BB1 is answered as "GOOD". It is assumed that the evaluation information is transmitted to the information processing apparatus 100.

Further, it is assumed that the specific target AA1 belongs to the brand BB1, the specific target AA2 belongs to the brand BB2, and the specific target AA3 belongs to the brand BB3. When the attribute of the specific target is the specific target itself, it can be read that the specific target AA1 belongs to the specific target AA1, the specific target AA2 belongs to the specific target AA2, and the specific target AA3 belongs to the specific target AA3. It shall be.

The evaluation information DT21 indicates that, for example, the user U11 evaluates each brand as “◎” for brand BB1, “〇” for brand BB2, and “◎” for brand BB3.

Further, the evaluation information DT21 indicates that, for example, the brand BB1 is evaluated by the user U11 as "◎", the user U12 as "◎", the user U13 as "◎", and the user U14 as "○".

The information processing apparatus 100 acquires and aggregates the second evaluation information transmitted from each evaluation user. The evaluation information DT 21 is the information processing apparatus 100 that aggregates and stores the second evaluation information transmitted by each evaluation user.

The information processing apparatus 100 identifies the second correlation between brands having different specific targets based on the acquired second evaluation information.

The information processing apparatus 100 specifies, for example, a second correlation between the brand BB1 and the brand BB2 and the brand BB3.

The majority of users U11 to U14 rate brand BB1 as "◎". In addition, half of the users U11 to U14 evaluate the brand BB2 as "x". In addition, the majority of users U11 to U14 rate the brand BB3 as "◎".

Therefore, since the evaluation of brand BB1 and the evaluation of brand BB3 are more similar than the evaluation of brand BB2, it is assumed that the second correlation between brand BB1 and brand BB3 is higher than the second correlation with brand BB2. Will be done. The information processing apparatus 100 calculates the score showing the second correlation between the brand BB1 and the brand BB3 to be higher than the score showing the second correlation with the brand BB2.

The information processing apparatus 100 identifies the second correlation between the brand BB1 and the brand BB2 and the brand BB3 by calculating a score indicating the second correlation between the brand BB1 and the brand BB2 and the brand BB3.

The information processing apparatus 100 generates the second correlation information based on the specified second correlation.

The information processing apparatus 100 provides a service according to the preference of the target user based on the generated second correlation information. The target user may be any user who is involved in trying on or purchasing one brand among the brands for which the second correlation is specified.

In the information processing apparatus 100, for example, when the target user has tried on or purchased a specific target of the brand BB1, the brand having a high second correlation with the brand BB1 is the brand BB3 based on the second correlation information. Therefore, it provides information for proposing a try-on or purchase of a specific target of the brand BB3.

The information processing apparatus 100 provides a service according to the size and preference of the target user based on the first correlation information and the second correlation information. For example, the information processing apparatus 100 is for proposing a size of a specific target having a high total score by adding a score showing a second correlation to a score showing a first correlation and calculating a total score. Provide information.

In the above embodiment, the information processing apparatus 100 may generate a model that outputs a score showing the first correlation when a combination of a specific target and a size is input. At this time, the information processing apparatus 100 may generate, for example, a model in which sizes that are highly evaluated by each evaluation user are trained as a positive example. Then, the information processing apparatus 100 may specify a combination of a specific target having a high score and a size among the scores output using the generated model, and provide a service. For example, the information processing apparatus 100 inputs a combination of a specific target and a size that the target user has tried on or purchased into the model based on the user information of the target user, and the specific target and size having the highest score output from the model. Information may be provided to identify a combination with and to suggest a combination of the specified specific object and size.

In the above embodiment, when the information processing apparatus 100 inputs a combination of a specific target, a size, and an attribute, the information processing apparatus 100 outputs a total score obtained by adding a score showing a second correlation to a score showing a first correlation. You may generate a model. At this time, the information processing apparatus 100 may generate, for example, a model in which sizes and attributes that are highly evaluated by each evaluation user are trained as regular examples. Then, the information processing apparatus 100 may specify a specific target having a high total score and a combination of a size and an attribute among the total scores output using the generated model, and provide a service. For example, the information processing apparatus 100 inputs a combination of a specific target, a size, and an attribute, which the target user has tried on or purchased, into the model based on the user information of the target user, and the specific target has the highest total score output from the model. Information may be provided to identify combinations of objects, sizes and attributes, and to propose combinations of identified objects, sizes and attributes.

In the above embodiment, the information processing apparatus 100 may generate, for example, a model showing the relationship between the fit degree of each size of each specific object and the sizes of the users U11 to U14. For example, a model based on a sigmoid function. For example, it is a model that calculates so that the positive score becomes larger when the users U11 to U14 evaluate to be too large for their own size, and the negative score becomes larger when the user U11 to U14 evaluates to be too small. When the size information of the target user is input, the information processing apparatus 100 outputs a model that outputs a score showing the first correlation and a total score obtained by adding the score showing the second correlation to the score showing the first correlation. May be generated. The measurement time of the size information of the target user is not particularly limited.

In the above embodiment, the information processing apparatus 100 specifies the first correlation between the sizes of the specific objects AA1 to AA3 having the same category for footwear, but the specific objects having different categories. The first correlation between one size may be specified. Further, when at least a part of the ground contact portion with respect to the user at the time of wearing (for example, the evaluation user or the purchase user) is common, it is assumed that there is a high possibility that the first correlation can be specified. For example, sneakers and socks have a grounded portion common to the user's feet, and dresses and dresses have a grounded portion common to the user's upper body. The information processing apparatus 100 may specify, for example, the first correlation between the sizes of one size of sneakers (an example of footwear) and one size of socks (an example of clothing). Further, the information processing apparatus 100 may specify, for example, a first correlation between the size of one piece (one category of clothing) and the size of one size of a dress (two categories of clothing). good. As described above, the information processing apparatus 100 specifies the first correlation between the sizes of one specific object having the same ground contact portion with respect to the user when worn, but in different categories, and the first correlation information. May be generated.

In addition, when it is predetermined as a combination of specific targets of different categories with a high possibility that the first correlation can be specified, there is no particular limitation that at least a part of the grounding portion for the user at the time of wearing is common. Suppose there is.

When the information processing apparatus 100 identifies the first correlation between the sizes of one of the specific targets having different categories and generates the first correlation information, the information processing apparatus 100 has different categories according to the input of the user information of the target user. Information may be provided to suggest a try-on or purchase of a particular object of one size. For example, when the target information including the specific target sneaker and the size of the sneaker is input as the user information of the target user, the information processing apparatus 100 has one size according to the size of the target user. Information may be provided to suggest trying on or purchasing socks.

[3. Configuration of terminal device]
Next, the configuration of the terminal device 10 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram showing a configuration example of the terminal device 10 according to the embodiment. As shown in FIG. 4, the terminal device 10 has a communication unit 11, an input unit 12, an output unit 13, and a control unit 14.

(Communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 11 is connected to a predetermined network N by wire or wirelessly, and transmits / receives information to / from the information processing apparatus 100 or the like via the predetermined network N.

(Input unit 12)
The input unit 12 receives various operations from the evaluation user. In the example shown in FIG. 2, various operations from users U11 to U14 are accepted. For example, the input unit 12 may accept various operations from the evaluation user via the display surface by the touch panel function. Further, the input unit 12 may accept various operations from a button provided on the terminal device 10 or a keyboard or mouse connected to the terminal device 10.

(Output unit 13)
The output unit 13 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. For example, the output unit 13 displays the information transmitted from the information processing apparatus 100.

(Control unit 14)
The control unit 14 is, for example, a controller, and various programs stored in a storage device inside the terminal device 10 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like are RAMs (Random Access Memory). ) Is executed as a work area. For example, the various programs include programs of applications installed in the terminal device 10. For example, the various programs include an application program for displaying information transmitted from the information processing apparatus 100. Further, the control unit 14 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4, the control unit 14 has a reception unit 141 and a transmission unit 142, and realizes or executes the operation of information processing described below.

(Receiver 141)
The receiving unit 141 receives various information. The receiving unit 141 receives various information from an external information processing device. The receiving unit 141 receives various information from other information processing devices such as the information processing device 100.

The receiving unit 141 receives, for example, information for the evaluation user to answer the fitting degree of each size of each specific target.

The receiving unit 141 receives, for example, the fitting degree answered by the evaluation user for each size of each specific target.

(Transmitter 142)
The transmission unit 142 transmits various information to an external information processing device. The transmission unit 142 transmits various information to other information processing devices such as the information processing device 100.

The transmission unit 142 transmits, for example, the first evaluation information indicating the evaluation by the evaluation user for each size of each specific target.

[4. Information processing device configuration]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram showing a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 5, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the information processing device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the terminal device 10 or the like via the network N.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 5, the storage unit 120 includes a first evaluation information storage unit 121, a second evaluation information storage unit 122, a user information storage unit 123, and a specific target information storage unit 124.

The first evaluation information storage unit 121 stores the first evaluation information indicating the evaluation by the evaluation user for each size of each specific target. Here, FIG. 6 shows an example of the first evaluation information storage unit 121 according to the embodiment. As shown in FIG. 6, the first evaluation information storage unit 121 has items such as "user ID", "specific target", and "first evaluation information".

The "user ID" indicates identification information for identifying the evaluation user. "Specific target" indicates a specific target. The "first evaluation information" indicates the first evaluation information evaluated by the evaluation user.

That is, in FIG. 6, the specific target evaluated by the evaluation user identified by the user ID “U11” is “specific target AA1”, and the first evaluation information is “size 26 cm; evaluation“ × ”, size 26.5 cm. An example of evaluation "○", size 27 cm; evaluation "◎", size 27.5 cm; evaluation "×" is shown.

The second evaluation information storage unit 122 stores the second evaluation information indicating the evaluation by the evaluation user for each brand. Here, FIG. 7 shows an example of the second evaluation information storage unit 122 according to the embodiment. As shown in FIG. 7, the second evaluation information storage unit 122 has items such as "user ID" and "second evaluation information".

The "user ID" indicates identification information for identifying the evaluation user. The "second evaluation information" indicates the second evaluation information evaluated by the evaluation user.

That is, in FIG. 7, the second evaluation information evaluated by the evaluation user identified by the user ID "U11" is "brand BB1; evaluation" ◎ ", brand BB2; evaluation" 〇 ", brand BB3; evaluation" ◎ ". An example is shown.

The user information storage unit 123 stores the user information of the evaluation user. Here, FIG. 8 shows an example of the user information storage unit 123 according to the embodiment. As shown in FIG. 8, the user information storage unit 123 has items such as "user ID" and "user information".

The "user ID" indicates identification information for identifying the evaluation user. "User information" indicates user information (for example, measurement information) of the evaluation user. In the example shown in FIG. 8, an example in which conceptual information such as "user information # 11" and "user information # 12" is stored in "user information" is shown, but in reality, for example, "size: 26 cm" is shown. Information such as "Measurement time: September 2021" is stored.

That is, FIG. 8 shows an example in which the user information of the evaluation user identified by the user ID “U11” is “user information # 11”.

The specific target information storage unit 124 stores the target information of the specific target. For example, the target information of a specific target provided in a predetermined electronic shopping street managed by the management server 200 is stored. Here, FIG. 9 shows an example of the specific target information storage unit 124 according to the embodiment. As shown in FIG. 9, the specific target information storage unit 124 has items such as “specific target” and “target information”.

"Specific target" indicates a specific target. "Target information" indicates target information of a specific target (for example, size information possessed by the specific target). In the example shown in FIG. 9, an example in which conceptual information such as "target information # 11" and "target information # 12" is stored in "target information" is shown, but in reality, for example, "26 cm, 26" Information such as ".5 cm, 27 cm, 27.5 cm" is stored.

That is, FIG. 9 shows an example in which the target information of the specific target AA1 is “target information # 11”.

(Control unit 130)
The control unit 130 is a controller, and is realized by, for example, using a CPU, an MPU, or the like to execute various programs stored in the storage device inside the information processing device 100 using the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 5, the control unit 130 includes an acquisition unit 131, a specific unit 132, a generation unit 133, a calculation unit 134, and a provision unit 135, and realizes the information processing operation described below. Or execute. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 5, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 131)
The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various information from an external information processing device. The acquisition unit 131 acquires various information from other information processing devices such as the terminal device 10.

The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 acquires various information from the first evaluation information storage unit 121, the second evaluation information storage unit 122, the user information storage unit 123, and the specific target information storage unit 124. Further, the acquisition unit 131 stores various acquired information in the storage unit 120. The acquisition unit 131 stores various information in the first evaluation information storage unit 121, the second evaluation information storage unit 122, the user information storage unit 123, and the specific target information storage unit 124.

The acquisition unit 131 acquires, for example, the first evaluation information indicating the evaluation by the evaluation user for each size of the specific target. In other words, the acquisition unit 131 acquires the first evaluation information indicating the fitting degree for each size of the specific target for each evaluation user.

The acquisition unit 131 acquires, for example, the second evaluation information indicating the evaluation by the evaluation user for each brand. In other words, the acquisition unit 131 acquires the second evaluation information indicating the preference for each brand for each evaluation user.

(Specific part 132)
The specific unit 132 specifies, for example, the first correlation between one size of different specific targets among different sizes of a plurality of specific targets based on the first evaluation information acquired by the acquisition unit 131.

The specific unit 132 specifies, for example, the size of one specific target whose fitting degree is highly evaluated by each evaluation user, the size of one specific target having a high specified evaluation, and the size of each other specific target. Identify the first correlation with each size.

The specific unit 132 includes, for example, the size of one specific object having a high specified evaluation and the size of each of the other specific objects based on the score indicating the first correlation calculated by the calculation unit 134 described later. Identify the first correlation.

The specifying unit 132 specifies, for example, the size of each specific target whose fitting degree is highly evaluated by each evaluation user, and specifies the first correlation between the sizes of each specific target having a high specified evaluation.

The specific unit 132 identifies the first correlation between sizes that are highly evaluated by each evaluation user, for example, based on the score indicating the first correlation calculated by the calculation unit 134 described later.

The specific unit 132 identifies the second correlation between brands having different specific targets, for example, based on the second evaluation information acquired by the acquisition unit 131.

The information processing apparatus 100 identifies the second correlation between one brand and each of the other brands, for example, based on the score indicating the second correlation calculated by the calculation unit 134 described later.

(Generation unit 133)
The generation unit 133 generates, for example, the first correlation information based on the first correlation specified by the specific unit 132.

The generation unit 133 generates, for example, the first correlation information based on the first correlation between the sizes that are highly evaluated by each evaluation user.

The generation unit 133 generates, for example, the second correlation information based on the second correlation specified by the specific unit 132.

For example, the generation unit 133 makes a model that outputs a score showing the first correlation when a combination of a specific target and a size is input.

The generation unit 133 generates, for example, a model in which sizes that are highly evaluated by each evaluation user are trained as a positive example.

For example, when a combination of a specific target, a size, and an attribute is input, the generation unit 133 generates a model that outputs a total score obtained by adding a score showing a second correlation to a score showing a first correlation.

The generation unit 133 generates, for example, a model in which sizes and attributes that are highly evaluated by each evaluation user are trained as regular examples.

(Calculation unit 134)
The calculation unit 134 calculates, for example, a score indicating a first correlation between each size of each specific target.

The calculation unit 134 calculates a score indicating the first correlation by using, for example, the model generated by the generation unit 133.

The calculation unit 134 calculates, for example, a score indicating a second correlation between brands.

The calculation unit 134 calculates a score indicating the second correlation by using, for example, the model generated by the generation unit 133.

For example, the calculation unit 134 adds the score showing the second correlation to the score showing the first correlation to calculate the total score.

(Providing section 135)
The providing unit 135 provides (transmits) a service according to the size of the target user, for example, based on the first correlation information generated by the generating unit 133.

The provider 135 provides, for example, information for proposing a try-on or purchase of a particular object of one size.

The providing unit 135 provides a service according to the preference of the target user, for example, based on the second correlation information generated by the generating unit 133.

The provider 135 provides, for example, information for proposing a try-on or purchase of a particular target of a brand.

The providing unit 135 provides information for proposing a try-on or purchase of a specific target of one size having a high score (including the total score) calculated by the calculation unit 134, for example.

The providing unit 135 provides information for proposing a size of a specific object having a high score (including a total score), for example.

[5. Management server configuration]
Next, the configuration of the management server 200 according to the embodiment will be described with reference to FIG. FIG. 10 is a diagram showing a configuration example of the management server 200 according to the embodiment. As shown in FIG. 10, the management server 200 has a communication unit 210, a storage unit 220, and a control unit 230. The management server 200 may have an input unit for receiving various operations from the administrator of the management server 200 and a display unit for displaying various information.

(Communication unit 210)
The communication unit 210 is realized by, for example, a NIC or the like. Then, the communication unit 210 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the information processing apparatus 100 or the like via the network N.

(Memory unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 220 stores the same information as the specific target information storage unit 124. Therefore, the description thereof will be omitted.

(Control unit 230)
The control unit 230 is a controller, and is realized by, for example, a CPU, an MPU, or the like executing various programs stored in a storage device inside the management server 200 using the RAM as a work area. Further, the control unit 230 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 10, the control unit 230 has an acquisition unit 231 and a provision unit 232, and realizes or executes the operation of information processing described below. The internal configuration of the control unit 230 is not limited to the configuration shown in FIG. 10, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 231)
The acquisition unit 231 acquires various information. The acquisition unit 231 acquires various information from an external information processing device. The acquisition unit 231 acquires various information from other information processing devices such as the information processing device 100.

The acquisition unit 231 acquires various information from the storage unit 220. Further, the acquisition unit 231 stores various acquired information in the storage unit 220.

The acquisition unit 231 acquires the target information of the specific target provided in the predetermined electronic shopping district.

(Providing section 232)
The providing unit 232 provides (transmits) the target information acquired by the acquisition unit 231.

[6. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 11 is a flowchart showing a procedure of information processing by the information processing system 1 according to the embodiment.

As shown in FIG. 11, the information processing apparatus 100 acquires the first evaluation information indicating the evaluation by the evaluation user for each size of the specific target (step S201).

The information processing apparatus 100 generates the first correlation information indicating the first correlation based on the acquired first evaluation information (step S202).

The information processing apparatus 100 provides a service according to the size of the target user based on the generated first correlation information (step S203).

[7. Modification example]
The information processing system 1 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, another embodiment of the information processing system 1 will be described below.

In the above embodiment, the case where the specific target is evaluated by the evaluation user has been described. Hereinafter, in the modified example, a case where the specific target is evaluated by the purchasing user will be described. The same description as in FIG. 2 will be omitted as appropriate.

For convenience of explanation, a case where the specific target is evaluated only by the purchasing user will be described, but the modified example includes a case where the specific target is evaluated by the evaluation user and then evaluated by the purchasing user. .. On the other hand, similarly, the above embodiment has described the case where the specific target is evaluated only by the evaluation user, but in the above embodiment, the specific target is evaluated by the purchasing user and then evaluated by the evaluation user. The case shall be included.

Depending on the specific target, the number of purchasing users who purchased may be small and the number of evaluations may not be sufficient. For example, when the specific target is a new product. Here, when the number of evaluations is not sufficient, in order to propose a combination of a specific target and a size that matches the size of the target user with high accuracy in providing a service according to the size of the target user, for example. If the number of evaluations is not enough. For this reason, by having the evaluation user try on and evaluate each specific target of all sizes, even if the number of evaluations by the purchasing user is not sufficient, it is possible to provide a highly accurate service according to the size of the target user. It will be possible.

In addition, it may be difficult for the evaluation user to try on and evaluate each specific object of all sizes. Therefore, for example, by using the evaluation information of the purchasing user for a specific target for which there is no evaluation information of the evaluation user, it is possible to provide a highly accurate service according to the size of the target user.

FIG. 12 is a diagram showing an example of information processing according to a modified example.

Hereinafter, the users U21 to U24 will be described as assuming that they are purchasing users who have purchased a specific target provided in a predetermined electronic shopping street managed by the management server 200. Further, the user U21 is a purchasing user who purchased the 26 cm specific target AA1, the user U22 is the purchasing user who purchased the 26.5 cm specific target AA2, and the user U23 purchased the 27 cm specific target AA3. It is assumed that the user U24 is a purchasing user who has purchased the 27.5 cm specific target AA1, the 27 cm specific target AA2, and the 27.5 cm specific target AA3.

The information processing apparatus 100 acquires the evaluation information DT12 indicating the evaluation by the users U21 to U24 for each size of the specific target AA1 to AA3 (step S301).

The evaluation information DT12 indicates, for example, that the user U11 evaluated 26 cm of the specific target AA1 as “x”. The "-" given to the 26.5 cm, 27 cm, and 27.5 cm of the specific target AA1 and the "-" given to each size of the specific target AA2 and the specific target AA3 are determined by the user U11. Indicates that there is no evaluation.

Further, the evaluation information DT12 indicates, for example, that "-" given to the users U22 to U24 of 26 cm of the specific target AA1 has no evaluation for 26 cm of the specific target AA1.

The user U11 purchases and uses, for example, a 26 cm specific target AA1 and transmits first evaluation information for 26 cm of the specific target AA1.

The information processing apparatus 100 acquires and aggregates the first evaluation information transmitted from each purchasing user (step S302). The evaluation information DT 12 is the information processing apparatus 100 that aggregates and stores the first evaluation information transmitted by each purchasing user.

Since the processing after step S302 is the same as that of the above embodiment, the description thereof will be omitted.

[8. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes an acquisition unit 131, a generation unit 133, and a provision unit 135. The acquisition unit 131 acquires first evaluation information indicating the evaluation by the user for one or more sizes of a specific target having a plurality of sizes. The generation unit 133 generates first correlation information indicating the first correlation between different sizes of a plurality of specific targets based on the first evaluation information acquired by the acquisition unit 131. The providing unit 135 provides a service according to the size of the target user based on the first correlation information generated by the generating unit 133.

As a result, the information processing apparatus 100 according to the embodiment can provide a service suitable for the target user based on the first correlation. Therefore, the target user is based on the first evaluation information from a plurality of users. It is possible to appropriately provide services according to the size of.

Further, the user is a user who has tried on a specific target for evaluation, or a user who has purchased and used the specific target.

Thereby, the information processing apparatus 100 according to the embodiment can provide a highly accurate service according to the size of the target user based on the evaluation information from the evaluation user or the purchasing user.

Further, the user is the same user who commonly evaluates different sizes of a plurality of specific targets.

Thereby, the information processing apparatus 100 according to the embodiment can provide a highly accurate service according to the size of the target user based on the evaluation information from the same user.

Further, the providing unit 135 inputs a combination of the specific object and the size, and the specific object and the size having a high score indicating the first correlation specified by using a model that outputs a score indicating the first correlation. We provide services according to the combination of.

Thereby, the information processing apparatus 100 according to the embodiment can provide a highly accurate service according to the size of the target user based on the score showing the first correlation.

In addition, the acquisition unit 131 acquires the second evaluation information indicating the evaluation by the user for the attribute of the specific target. Further, the generation unit 133 generates the second correlation information showing the second correlation between different attributes of a plurality of specific targets based on the second evaluation information acquired by the acquisition unit 131. Further, the providing unit 135 shows the combination of the first correlation and the second correlation when the combination of the specific target, the size, and the attribute is input based on the second correlation information generated by the generation unit 133. It provides a service according to a specific target having a high score indicating a combination of a first correlation and a second correlation specified by using a model that outputs a score, and a combination of a size and an attribute.

As a result, the information processing apparatus 100 according to the embodiment can provide a service suitable for the target user based on the first correlation and the second correlation, so that the first evaluation information from a plurality of users and the first evaluation information can be provided. Based on the second evaluation information, it is possible to appropriately provide a service according to the size of the target user.

In addition, the generation unit 133 generates first correlation information indicating a first correlation between sizes of specific targets having a common ground contact portion with respect to the user when worn, but in different categories.

As a result, the information processing apparatus 100 according to the embodiment can appropriately provide services according to the size of the target user across categories.

[9. Hardware configuration]
Further, the terminal device 10, the information processing device 100, and the management server 200 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 13 is a hardware configuration diagram showing an example of a computer that realizes the functions of the terminal device 10, the information processing device 100, and the management server 200. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via a predetermined communication network and sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the predetermined communication network.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the terminal device 10, the information processing device 100, and the management server 200 according to the embodiment, the CPU 1100 of the computer 1000 executes the program loaded on the RAM 1200 to control the control units 14, 130. And 230 functions are realized. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via a predetermined communication network.

[10. others〕
Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured.

Further, the above-described embodiments can be appropriately combined as long as the processing contents do not contradict each other.

Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other modified forms.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Information processing system 10 Terminal equipment 11 Communication unit 12 Input unit 13 Output unit 14 Control unit 100 Information processing device 110 Communication unit 120 Storage unit 121 1st evaluation information storage unit 122 2nd evaluation information storage unit 123 User information storage unit 124 Specific Target information storage unit 130 Control unit 131 Acquisition unit 132 Specific unit 133 Generation unit 134 Calculation unit 135 Providing unit 141 Reception unit 142 Transmission unit 200 Management server 210 Communication unit 220 Storage unit 230 Control unit 231 Acquisition unit 232 Providing unit N network

Claims (8)

An acquisition unit that acquires first evaluation information indicating a user's evaluation of one or more sizes of a specific target having a plurality of sizes, and an acquisition unit.
A generation unit that generates first correlation information indicating a first correlation between a plurality of different sizes of the specific target based on the first evaluation information acquired by the acquisition unit.
A providing unit that provides a service according to the size of the target user based on the first correlation information generated by the generating unit, and a providing unit.
An information processing device characterized by having. The information processing apparatus according to claim 1, wherein the user is a user who has tried on the specific object for the evaluation, or a user who has purchased and used the specific object. The information processing apparatus according to claim 1 or 2, wherein the user is the same user who has evaluated a plurality of different sizes of the specific target in common. The providing part
When a combination of the specific object and the size is input, the specific object having a high score indicating the first correlation and the size specified by using a model that outputs a score indicating the first correlation are used. The information processing apparatus according to any one of claims 1 to 3, wherein the service is provided according to a combination. The acquisition unit
The second evaluation information indicating the evaluation by the user for the attribute of the specific target is acquired, and the second evaluation information is acquired.
The generator is
Based on the second evaluation information acquired by the acquisition unit, the second correlation information showing the second correlation between a plurality of different attributes of the specific target is generated.
The providing part
When the combination of the specific target, the size, and the attribute is input based on the second correlation information generated by the generation unit, a score indicating the combination of the first correlation and the second correlation is obtained. To provide the service according to the combination of the specific object, the size, and the attribute having a high score indicating the combination of the first correlation and the second correlation specified by using the output model. The information processing apparatus according to any one of claims 1 to 4, wherein the information processing apparatus is characterized. The generator is
The claim is characterized in that at least a part of the ground contact portion with respect to the user at the time of wearing is common, but the first correlation information indicating the first correlation between the sizes of the specific objects having different categories is generated. The information processing apparatus according to any one of 1 to 5. It is an information processing method executed by a computer.
The acquisition process of acquiring the first evaluation information indicating the evaluation by the user for one or more sizes of a specific target having a plurality of sizes, and the acquisition process.
A generation step of generating first correlation information indicating a first correlation between a plurality of different sizes of the specific target based on the first evaluation information acquired by the acquisition step, and a generation step.
A providing process that provides a service according to the size of the target user based on the first correlation information generated by the generation process, and a providing process.
An information processing method characterized by including. The acquisition procedure for acquiring the first evaluation information indicating the evaluation by the user for one or more sizes of a specific target having a plurality of sizes, and the acquisition procedure.
A generation procedure for generating a first correlation information indicating a first correlation between a plurality of different sizes of the specific target based on the first evaluation information acquired by the acquisition procedure, and a generation procedure.
A provision procedure for providing a service according to the size of a target user based on the first correlation information generated by the generation procedure, and a provision procedure.
An information processing program characterized by having a computer execute.

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