JP2023161520A - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

To promote an improvement in service tailored to the size of the feet of a target user.SOLUTION: An information processing apparatus according to an embodiment comprises: a specification unit that specifies an allowable size range for specific footwear allowed by a specific user having a difference in shape between the left foot and the right foot based on evaluation information evaluated by the specific user for the plurality of sizes of the specific footwear; a generation unit that generates, for the left foot and the right foot, first correlation information indicating first correlation between the allowable range specified by the specification unit and the size of the foot of the specific user; and a providing unit that, based on the first correlation information generated by the generation unit, provides a service tailored to the size of the foot of a target user having a difference in shape between the left foot and the right foot.SELECTED DRAWING: Figure 11

Description

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

2. Description of the Related Art Conventionally, techniques for suggesting objects such as clothing and footwear that suit a user are known. For example, a technique is known that proposes a size of a specific product that suits the user based on other users' evaluations of the size of the specific product.

Patent No. 5256362

However, with the conventional technology, it has not been possible to promote further improvement of services according to the foot size of the target user. For example, with conventional technology, it has not been possible to provide a service based on whether one size out of a plurality of sizes fits the target user's feet.

The present application has been made in view of the above, and aims to promote further improvement of services according to the foot size of target users.

The information processing device according to the present application determines the size acceptable to the specific user for the specific footwear based on evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of the specific footwear. a specifying unit that specifies an allowable range; and a generating unit that generates first correlation information indicating a first correlation between the allowable range specified by the specifying unit and the foot size of the specific user for each of the left and right feet. and a providing unit that provides a service according to the foot size of a target user who has a left-right foot shape difference based on the first correlation information generated by the generating unit.

According to one aspect of the embodiment, it is possible to further improve the service according to the foot size of the target user.

FIG. 1 is a diagram illustrating a configuration example of an information processing system according to an embodiment. FIG. 2 is a diagram illustrating an example of information processing according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of a terminal device according to an embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing device according to an embodiment. FIG. 5 is a diagram illustrating an example of an evaluation information storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of the measurement information storage unit according to the embodiment. FIG. 7 is a diagram illustrating a configuration example of a management server according to the embodiment. FIG. 8 is a diagram illustrating an example of a product information storage unit according to the embodiment. FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment. FIG. 10 is a diagram illustrating an example of information processing according to a modification. FIG. 11 is a diagram illustrating a configuration example of an information processing device according to an embodiment. FIG. 12 is a diagram illustrating an example of an evaluation information storage unit according to the embodiment. FIG. 13 is a diagram illustrating an example of the measurement information storage unit according to the embodiment. FIG. 14 is a diagram illustrating an example of a service provided by the providing unit according to the embodiment. FIG. 15 is a flowchart illustrating an example of information processing according to the embodiment. FIG. 16 is a flowchart illustrating an example of information processing according to the embodiment. FIG. 17 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device.

DESCRIPTION OF THE PREFERRED EMBODIMENTS An information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

(First embodiment)
[1. Information processing system configuration]
The information processing system 1 shown in FIG. 1 will be explained. 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 communicably connected via a predetermined communication network (network N) by wire or wirelessly. FIG. 1 is a diagram illustrating a configuration example of an information processing system 1 according to an embodiment. Note that the information processing system 1 shown in FIG. 1 may include a plurality of terminal devices 10, a plurality of information processing apparatuses 100, and a plurality of management servers 200.

The terminal device 10 is an information processing device used by a specific user. The terminal device 10 may be any device as long as it can implement the processing in the embodiment. 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. The example shown in FIG. 2 shows a case where the terminal device 10 is a smartphone.

The terminal device 10 is, for example, a smart device such as a smartphone or a tablet, and is a mobile terminal device that can communicate with any server device via a wireless communication network such as 3G (Generation) or LTE (Long Term Evolution). It is. Further, the terminal device 10 has a screen such as a liquid crystal display, which has a touch panel function, and allows a specific user to perform a tap operation, a slide operation, a scroll operation, etc. using a finger or a stylus, etc. to respond to display data such as content. Various operations may be accepted.

In FIG. 2, the terminal device ₁₀₁ is used by a specific user U11, the terminal device ₁₀₂ is used by a specific user U12, and the terminal device ₁₀₃ is used by a specific user U13. In addition, below, when there is no need to distinguish between the terminal devices 10 ₁ , 10 ₂ and 10 ₃ , they will be referred to as "terminal devices 10". Further, when there is no need to distinguish between the specific users U11, U12, and U13, they are simply referred to as "specific users." Further, below, the terminal device 10 may be referred to as a specific user. That is, in the following, the specific user can also be read as the terminal device 10. Note that in FIG. 2, a case will be described in which the specific user is a purchaser who purchased specific footwear.

In FIG. 10, terminal devices 10 _{to 11} are used by a specific user U21, terminal devices 10 _{to 12} are used by a specific user U22, and terminal devices 10 _{to 13} are used by a specific user U23. In addition, below, when there is no need to distinguish between the terminal devices 10 ₁₁ , 10 ₁₂ and 10 ₁₃ , they will be referred to as "terminal devices 10". Further, when there is no need to distinguish between the specific users U21, U22, and U23, they are simply referred to as "specific users." Note that in FIG. 10, a case will be described in which the specific user is a seller who sells specific footwear.

The information processing device 100 is an information processing device for promoting further improvement of services according to the foot size of the target user based on evaluations of multiple sizes, and is realized by, for example, a server device, a cloud system, etc. Ru. For example, the information processing device 100 specifies the tolerance range of the specific user's size based on evaluation information evaluated by the specific user for a plurality of sizes, and combines the specified tolerance range with the specific user's foot size tolerance. It has a function of providing a service according to the size of the target user's feet based on the correlation with the foot size (hereinafter referred to as "first correlation" as appropriate).

The management server 200 is an information processing device for managing a predetermined electronic shopping mall that provides specific footwear, 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 to specific users who have purchased specific footwear. Furthermore, the management server 200 may be an information processing device for managing each physical store that provides the specific footwear proposed by the information processing device 100. For example, the management server 200 may have a function of providing information on specific footwear provided at each physical store. Note that in the following embodiments, the specific footwear may be of any kind. For example, the specific footwear may be sneakers, sandals, boots, pumps, dress shoes, running shoes, etc.

Note that although FIG. 1 shows a case where the terminal device 10 and the information processing device 100 are separate devices, the terminal device 10 and the information processing device 100 may be integrated. Further, 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 illustrating an example of information processing of the information processing system 1 according to the embodiment. In FIG. 2, it is assumed that evaluations are accepted from a specific user via the terminal device 10. In FIG. 2, a case will be described in which evaluations are accepted from specific users U11 to U13 as specific users who purchased specific footwear AA1, but the number of specific users is not particularly limited. The number of specific users is not limited to, for example, three specific users U11 to U13, and may be one, two, four or more. Furthermore, in the following embodiments, the evaluation is an evaluation based on the feeling of size felt by a specific user, such as whether the footwear is loose, tight, painful, or a specific part of the foot protrudes from the specific footwear. For example, the evaluation is that the size is appropriate (fits) or not appropriate (does not fit). Note that in the following embodiments, the target user may be any user, and of course may be a specific user. For example, if a specific user who purchased specific footwear in the past attempts to purchase the same specific footwear in a different size, the user may become the target user.

The information processing device 100 acquires evaluation information evaluated by the specific users U11 to U13 for multiple sizes of the specific footwear AA1 (step S101). For example, the information processing device 100 stores evaluation information of a specific user U11 who purchased specific footwear AA1 with a size of 25 cm, evaluation information of a specific user U12 who purchased specific footwear AA1 with a size of 26 cm, and specific footwear with a size of 27 cm. Evaluation information of specific user U13 who purchased AA1 is acquired. To give a specific example, the information processing device 100 evaluates the specific footwear AA1 with a size of 25 cm, the evaluation information of the specific user U11 who evaluated it as "very good", and the specific footwear AA1 with a size of 26 cm. , the evaluation information of the specific user U12 who evaluated "good" and the evaluation information of the specific user U13 who evaluated the specific footwear AA1 of size 27 cm as "bad" are acquired. The evaluation information acquired by the information processing device 100 includes information on a combination of the size of the purchased specific footwear and the evaluation of the specific user who purchased it.

Note that in step S101, the information processing device 100 may obtain information for identifying the specific user who purchased the specific footwear AA1, for example, by accessing the management server 200 (step S101-1). Further, the information processing device 100 may obtain, for example, information on the size of the specific footwear AA1 purchased by the specific users U11 to U13. Then, the information processing device 100 may provide information for suggesting that the specific users U11 to U13 evaluate the size of the specific footwear AA1 that they have purchased.

The information processing device 100 acquires measurement information obtained by measuring the size of the feet of the specific users U11 to U13 (step S102). For example, when evaluating the size of the specific footwear AA1, the information processing device 100 uses the specific user U11 specified by the specific users U11 to U13 reading code information such as a QR code (registered trademark) via the terminal device 10. Obtain measurement information of U13 to U13. In this case, it is assumed that measurement information is linked to the code and determined in advance. Furthermore, in the following embodiments, the timing of measuring the foot size is not particularly limited. For example, the information processing device 100 acquires measurement information measured at the time of purchase (or evaluation, etc.) of the specific footwear AA1, or at any time before the purchase (or evaluation, etc.) of the specific footwear AA1.

In the embodiment below, the foot sizes of the specific users U11 to U13 may be measured in any way. For example, the size of the feet of specific users U11 to U13 can be determined by imaging (photographing) the area around the feet placed on the mat using the terminal device 10, and then determining the 3D size of the feet based on dots (markers) attached to the mat. It may be measured via a measurable measuring means. Further, for example, if the specific users U11 to U13 are children, the images may be captured by the terminal device 10 used by the parents of the specific users U11 to U13. In such a case, the information processing apparatus 100 may acquire the measurement information of the specific users U11 to U13 from the parents of the specific users U11 to U13.

The information processing device 100 identifies the size of the feet of the specific users U11 to U13 based on the acquired measurement information. Note that in the following embodiments, the information processing device 100 specifies the foot size based on the foot length as an index indicating the foot size.

Based on the acquired evaluation information, the information processing device 100 identifies a size tolerance range that is estimated to be acceptable to each of the specific users U11 to U13 for the specific footwear AA1 (step S103). For example, the information processing device 100, based on the correlation between the evaluation information of the specific users U11 to U13 and the foot size of the specific users U11 to U13 (hereinafter referred to as "second correlation" as appropriate), A size tolerance range that is estimated to be acceptable to each of the specific users U11 to U13 for the specific footwear AA1 is specified. Specifically, the information processing device 100 generates second correlation information indicating a second correlation between the evaluation information of the specific users U11 to U13 and the foot sizes of the specific users U11 to U13, and Based on the second correlation information, a size tolerance range that is estimated to be acceptable to each of the specific users U11 to U13 for the specific footwear AA1 is specified.

The foot sizes of specific users U11 to U13 are all 25 cm, specific user U11 evaluates the purchased specific footwear AA1 of 25 cm size as "very good", and specific user U12 evaluates the purchased specific footwear AA1 of 26 cm size as "very good". It is assumed that the specific footwear AA1 of size AA1 is evaluated as "good", and the specific user U13 evaluates the purchased specific footwear AA1 of size 27 cm as "bad". In this case, the information processing device 100 evaluates the specific footwear AA1 of 27 cm as "poor" among the specific users U11 to U13 who have the same foot size, so the information processing device 100 evaluates it as "very good" or "good". The size of 25cm to 26cm is specified as an acceptable range. Then, the information processing device 100 estimates that each of the specific users U11 to U13 feels "very good" or "good" in the size range of 25 cm to 26 cm. In this way, the information processing device 100 can estimate how the specific user feels about the specific footwear AA1 of the size that the specific user has not purchased, based on the second correlation. .

Note that in FIG. 2, since the number of specific users is three, specific users U11 to U13, the size of 25 cm to 26 cm is specified as the allowable range, but the information processing device 100 accepts an evaluation from, for example, specific user U14. In this case, the allowable range is specified by taking into consideration the evaluation received from the specific user U14. For example, if the specific user U14's foot size is 25 cm, and the specific user U14 evaluates the purchased specific footwear AA1 with a size of 24 cm as "good", the specific user U14 may rate it as "very good" or "good". The evaluated size of 24 cm to 26 cm is specified as an acceptable range. In addition to the specific user U14, the information processing device 100 also receives an evaluation from, for example, a specific user U15, and the specific user U15's foot size is 25 cm, and the specific user U15 has a purchased foot size of 23 cm. When the specific size of the footwear AA1 is evaluated as "poor", the sizes of 24 cm to 26 cm that are evaluated as "very good" or "good" are specified as the allowable range.

In FIG. 2, for convenience of explanation, the case where the feet of the specific users U11 to U13 are all 25 cm has been described as an example, but the foot sizes are not limited to the same size. If the specific users U11 to U13 have different foot sizes, the information processing device 100 determines the allowable size by, for example, taking into account evaluations received from other specific users who have the same foot size as the specific users U11 to U13. Identify the range. For example, if the specific user U11's foot size is 24 cm and the specific users U12 and U13's foot size is 26 cm, the specific user The permissible range of U11 is specified, and the permissible range of specific users U12 and U13 is specified based on the evaluation received from the specific user with a foot size of 26 cm.

Based on the first correlation between the specified tolerance range and the foot size of the specific users U11 to U13, the information processing device 100 determines that the size of the specific footwear AA1 is based on the foot size of the target user. It is determined whether it is appropriate (step S104). For example, assume that the specified allowable range is 25 cm to 26 cm, and the feet of the specific users U11 to U13 are all 25 cm. In this case, the information processing device 100 determines that the specific footwear AA1 is appropriate for the target user when one size is 25 cm or 26 cm and the target user's foot size is 25 cm. Note that in step S104, specifically, the information processing device 100 generates first correlation information indicating a first correlation between the specified tolerance range and the foot size of the specific users U11 to U13, Based on the generated first correlation information, it is determined whether one size of the specific footwear AA1 is appropriate for the target user's foot size.

If one size of the specific footwear AA1 is other than 25 cm or 26 cm (for example, 24 cm or 27 cm) and the target user's foot size is 25 cm, the information processing device 100 determines that the specific footwear AA1 is not appropriate for the target user. In other words, the information processing device 100 determines that specific footwear AA1 is appropriate only when one size of the foot is 25 cm or 26 cm for a target user whose foot size is 25 cm. Note that one size of the specific footwear AA1 may be any size selected. For example, one size of the specific footwear AA1 may be a size selected by the target user. Furthermore, a score indicating the degree of fit may be provided to indicate how appropriate or inappropriate one size of the specific footwear AA1 is for the size of the target user's feet.

The information processing device 100 provides a service according to the target user's foot size based on the determination result (step S105). For example, when it is determined that one size of the specific footwear AA1 is appropriate for the target user's foot size, the information processing device 100 provides information suggesting purchase of the one size. . Further, for example, if it is determined that one size of the specific footwear AA1 is not appropriate for the size of the target user's feet, information to the effect that the one size is not appropriate for the target user is provided. For example, information to the effect that the size is too large or too small is provided.

In the above embodiment, the information processing device 100 specifies the tolerance range based on the second correlation, and based on the first correlation based on the identified tolerance range, one size of the specific footwear AA1 is A case has been described in which it is determined whether or not the foot size of the target user is appropriate. Here, the information processing device 100 may use the model generated based on the second correlation to determine whether the model is appropriate for the target user's foot size. Specifically, the information processing device 100 may generate a model that calculates a score indicating the degree of fit for each foot size of the specific users U11 to U13 based on the second correlation.

Here, the model generated by the information processing device 100 is based on the size of each of the feet of the specific users U11 to U13 in one size of the specific footwear AA1, and the feet of that size relative to the one size of the specific footwear AA1. This is a model based on a curve that shows the relationship between the fit score and the fit score. That is, it is a model based on a function (for example, a sigmoid function) that shows the second correlation. For example, the more the feet of specific users U11 to U13 are evaluated to be too large, the larger the positive score becomes, and the smaller the feet are evaluated to be, the larger the negative score becomes. It is a curve-based model that, when evaluated, results in a score of zero. For example, the information processing device 100 calculates a more positive score when the foot size of the target user's feet is evaluated as being too large, and calculates a negative score when the foot size is evaluated as being too small. A model may be generated that calculates a score of zero when the evaluation is made.

Although the function indicating such second correlation is an example of second correlation information, the second correlation information is not limited to this example. For example, the second correlation information may be a table in which the foot sizes of the specific users U11 to U13 are associated with evaluation information as to whether or not they are appropriate. Further, for example, the second correlation information may be a table in which the foot size of each of the specific users U11 to U13 is associated with a fit score. Further, for example, the second correlation information may be a table in which the foot sizes of the specific users U11 to U13 are associated with evaluations such as too large, too small, or appropriate. In the above embodiment, the first correlation information may be a table in which the foot sizes of the specific users U11 to U13 are associated with allowable ranges, or a function indicating the first correlation. It may be.

The information processing device 100 determines that one size of the specific footwear AA1 is appropriate for the foot size of the target user, based on the score calculated by inputting the foot size of the target user into the generated model. It may be determined whether or not. For example, the information processing device 100 determines that one size of the specific footwear AA1 is appropriate for the target user's foot size based on whether the calculated score is equal to or greater than a predetermined threshold value. It may be determined whether or not. Specifically, if the score indicating the degree of fit is determined to be greater than or equal to a predetermined threshold, the information processing device 100 determines that one size of the specific footwear AA1 is appropriate for the foot size of the target user. If it is determined that the size is less than a predetermined threshold, it may be determined that one size of the specific footwear AA1 is not appropriate for the foot size of the target user.

Note that in the above embodiment, for convenience of explanation, the case where the foot size is specified based on the foot length as an index indicating the foot size has been described as an example, but the present invention is not limited to this example. For example, the information processing device 100 may specify the foot size based on the foot circumference or foot width. There are various definitions of foot circumference and foot width.For example, foot circumference is defined as the length from the base of the first toe (big toe) to the base of the fifth toe (little toe), or It is defined as the circumference of the protruding part of the bone at the base of the toe and the fifth toe, and the width of the foot is defined as the width of the widest part, but it is not limited to this example. shall be taken as a thing. Further, for example, the information processing device 100 may specify the foot size based on the instep height and heel width.

[3. Terminal device configuration]
Next, the configuration of the terminal device 10 according to the embodiment will be described using FIG. 3. FIG. 3 is a diagram showing a configuration example of the terminal device 10 according to the embodiment. As shown in FIG. 3, the terminal device 10 includes a communication section 11, an input section 12, an output section 13, and a control section 14.

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

(Input section 12)
The input unit 12 accepts various operations from a specific user. In the example shown in FIG. 2, various operations from specific users U11 to U13 are accepted. For example, the input unit 12 may accept various operations from a specific user via a display screen using a touch panel function. Further, the input unit 12 may accept various operations from buttons provided on the terminal device 10 or a keyboard or mouse connected to the terminal device 10.

(Output section 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 information transmitted from the information processing device 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 are transferred to a RAM (Random Access Memory) by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. ) is executed as a work area. For example, these various programs include application programs installed on the terminal device 10. For example, these various programs include an application program that displays information transmitted from the information processing device 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. 3, the control unit 14 includes a receiving unit 141 and a transmitting unit 142, and realizes or executes the information processing operation described below.

(Receiving unit 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. For example, the receiving unit 141 receives information for evaluating the size of specific footwear purchased by a specific user. Further, for example, the receiving unit 141 receives information suggesting the purchase of a certain size of specific footwear, or information indicating that a certain size of specific footwear is inappropriate.

(Transmission unit 142)
The transmitter 142 transmits various information to an external information processing device. The transmitter 142 transmits various information to other information processing apparatuses such as the information processing apparatus 100. For example, the transmitter 142 transmits evaluation information of an evaluation received from a specific user. Further, for example, the transmitting unit 142 transmits measurement information of the specific user's foot size. For example, the transmitting unit 142 transmits measurement information that is measured through a measuring means that can measure the 3D size of the foot based on dots attached to the mat by capturing an image of the area around the foot using the terminal device 10.

[4. Configuration of information processing device]
Next, the configuration of the information processing device 100 according to the embodiment will be described using FIG. 4. FIG. 4 is a diagram illustrating a configuration example of the information processing device 100 according to the embodiment. As shown in FIG. 4, the information processing device 100 includes a communication section 110, a storage section 120, and a control section 130. Note that the information processing device 100 has an input unit (for example, a keyboard, a mouse, etc.) that accepts 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 Department 110)
The communication unit 110 is realized by, for example, a NIC or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 10 and the like via the network N.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device 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. 4, the storage section 120 includes an evaluation information storage section 121 and a measurement information storage section 122.

The evaluation information storage unit 121 stores evaluation information of a specific user who has evaluated the size of specific footwear. Here, FIG. 5 shows an example of the evaluation information storage unit 121 according to the embodiment. As shown in FIG. 5, the evaluation information storage unit 121 has items such as "specific user ID," "specific footwear," and "evaluation information."

"Specific user ID" indicates identification information for identifying a specific user. “Specific footwear” indicates specific footwear evaluated by a specific user. "Evaluation information" indicates evaluation information evaluated by a specific user. In the example shown in FIG. 5, conceptual information such as "evaluation information #11" and "evaluation information #12" is stored in "evaluation information", but in reality, for example, "size: 25 cm" is stored. , Rating: Very Good" and other information is stored.

That is, FIG. 5 shows an example in which the specific footwear evaluated by the specific user identified by the specific user ID "U11" is "specific footwear AA1" and the evaluation information is "evaluation information #11."

The measurement information storage unit 122 stores measurement information about the size of a specific user's feet. Here, FIG. 6 shows an example of the measurement information storage section 122 according to the embodiment. As shown in FIG. 6, the measurement information storage unit 122 has items such as "specific user ID," "attribute," and "measurement information."

"Specific user ID" indicates identification information for identifying a specific user. "Attribute" indicates the specific user's attributes (eg, age, gender, etc.). "Measurement information" indicates measurement information of the specific user's foot size measured at an arbitrary time. In the example shown in FIG. 6, conceptual information such as "measurement information #11" and "measurement information #12" is stored in "measurement information", but in reality, for example, "time: 2021" is stored. Information such as "July, foot length: 25 cm, foot circumference: 24 cm, foot width: 10 cm, instep height: 6 cm, heel width: 6 cm" is stored.

That is, FIG. 6 shows an example in which the attributes of the specific user identified by the specific user ID "U11" are "age: 30 years old, gender: male", and the measurement information is "measurement information #11".

(Control unit 130)
The control unit 130 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 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 an FPGA.

As shown in FIG. 4, the control unit 130 includes an acquisition unit 131, a specification unit 132, a generation unit 133, a determination unit 134, and a provision unit 135, and realizes the information processing operation described below. Or run. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be any other configuration as long as it performs information processing to be described later.

(Acquisition unit 131)
The acquisition unit 131 acquires various 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 evaluation information storage unit 121 and the measurement information storage unit 122. Further, the acquisition unit 131 stores various acquired information in the storage unit 120. The acquisition unit 131 stores various information in the evaluation information storage unit 121 and the measurement information storage unit 122.

The acquisition unit 131 acquires evaluation information for multiple sizes of specific footwear. For example, the acquisition unit 131 acquires evaluation information of one size evaluated by a specific user who purchased specific footwear. For example, the acquisition unit 131 acquires evaluation information of one specific user who evaluated one size of specific footwear, and evaluation information of two specific users who evaluated two sizes of specific footwear. Note that the first size may be the same as the second size.

The acquisition unit 131 acquires measurement information of the specific user's foot size.

(Specific unit 132)
The specifying unit 132 specifies, based on the evaluation information obtained by the obtaining unit 131, the allowable range of the size of the specific footwear that is acceptable to the specific user. For example, the specifying unit 132 determines the size that is estimated to be acceptable for each of the plurality of users for the specific footwear, based on the second correlation between the evaluation information acquired by the acquiring unit 131 and the foot size of the specific user. Identify the acceptable range. For example, the identifying unit 132 specifies one tolerance range as the size tolerance range that is estimated to be acceptable to one specific user, and specifies a second tolerance range as the size tolerance range that is estimated to be acceptable to a second specific user. Identify the range. Note that the first tolerance range may be the same as the second tolerance range.

The specifying unit 132 determines a size tolerance range that is estimated to be acceptable for each of the multiple users, based on a score indicating the degree of fit of each of the multiple users' feet with respect to the multiple sizes, which is calculated based on the second correlation. Identify. For example, the specifying unit 132 specifies a size tolerance range that is estimated to be acceptable to each of the plurality of users, based on the score calculated using the model generated based on the second correlation.

The identification unit 132 identifies the size of the specific user's feet based on the measurement information acquired by the acquisition unit 131.

(Generation unit 133)
The generation unit 133 generates a model that calculates a score indicating the degree of fit for each of the specific user's foot sizes for the plurality of sizes, based on the second correlation. For example, the generation unit 133 learns the relationship between the size of each foot of a specific user and the score of whether the foot of that size fits one size of specific footwear. generate a model.

The generation unit 133 generates first correlation information indicating the first correlation between the allowable range specified by the identification unit 132 and the specific user's foot size. The generation unit 133 also generates second correlation information indicating a second correlation between the evaluation information of the specific user and the size of the foot of the specific user.

(Determination unit 134)
The determining unit 134 determines whether one size of the specific footwear is appropriate for the target user's foot size, based on the first correlation between the allowable range specified by the specifying unit 132 and the specific user's foot size. Determine whether or not. For example, assume that one specified allowable range is 25 cm to 26 cm, and the specific user's foot size is 25 cm. In this case, the determination unit 134 determines that the specific footwear is appropriate for the target user when one size is 25 cm or 26 cm and the target user's foot size is 25 cm.

The determining unit 134 determines whether one size of the specific footwear is appropriate for the target user's foot size, based on the score calculated using the model generated by the generating unit 133. . For example, the determination unit 134 determines whether the calculated score is greater than or equal to a predetermined threshold. The determining unit 134 determines whether one size of the specific footwear is appropriate for the target user's foot size based on whether the calculated score is equal to or greater than a predetermined threshold. Determine whether

(Providing unit 135)
The providing unit 135 provides (transmits) a service according to the foot size of the target user. For example, the providing unit 135 provides a service according to the foot size of the target user based on the determination result by the determining unit 134. For example, the providing unit 135 provides information that suggests purchasing a certain size of specific footwear, or information that a certain size of specific footwear is inappropriate.

The providing unit 135 provides information for suggesting to the specific user who purchased the specific footwear that the specific user evaluate the size of the specific footwear purchased by the specific user.

[5. Management server configuration]
Next, the configuration of the management server 200 according to the embodiment will be described using FIG. 7. FIG. 7 is a diagram illustrating a configuration example of the management server 200 according to the embodiment. As shown in FIG. 7, the management server 200 includes a communication section 210, a storage section 220, and a control section 230. Note that the management server 200 may include an input unit that receives various operations from the administrator of the management server 200, and a display unit that displays various information.

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

(Storage unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory device 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 product information of products offered at a predetermined online shopping mall. Here, FIG. 8 shows an example of the storage unit 220 according to the embodiment. As shown in FIG. 8, the storage unit 220 has items such as "product ID" and "product information."

"Product ID" indicates identification information for identifying a product provided at a predetermined online shopping mall. "Product information" indicates product information of products provided at a predetermined electronic shopping mall. In the example shown in FIG. 8, conceptual information such as "Product Information #11" and "Product Information #12" is stored in "Product Information", but in reality, for example, "Product: Specific Information such as "footwear AA1, size: 20cm to 29cm" is stored.

That is, FIG. 8 shows an example in which the product information of the product identified by the product ID "IT11" is "product information #11."

(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 an FPGA.

As shown in FIG. 7, the control unit 230 includes an acquisition unit 231 and a provision unit 232, and realizes or executes the information processing operation described below. Note that the internal configuration of the control unit 230 is not limited to the configuration shown in FIG. 7, and may be any other configuration as long as it performs information processing to be 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 the acquired various information in the storage unit 220.

The acquisition unit 231 acquires product information of a product purchased by a specific user. For example, the acquisition unit 231 acquires product information of a product purchased by a specified user in response to a request to provide product information transmitted from the information processing device 100.

(Providing unit 232)
The providing unit 232 provides (sends) the product information acquired by the acquiring 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 using FIG. 9. FIG. 9 is a flowchart showing the procedure of information processing by the information processing system 1 according to the embodiment.

As shown in FIG. 9, the information processing device 100 acquires evaluation information for a plurality of sizes of specific footwear (step S201).

Based on the acquired evaluation information, the information processing device 100 identifies the allowable range of the size of the specific footwear that the specific user allows (step S202).

The information processing device 100 provides a service according to the target user's foot size based on the specified tolerance range and the specific user's foot size (step S203).

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

In the above embodiment, a case has been described in which evaluations are received from specific users U11 to U13 as specific users who purchased specific footwear AA1. In other words, in the above embodiment, a case has been described in which the specific user is a purchaser who purchased specific footwear. Here, the specific user may be a seller who sells specific footwear. In the following modified example, a case will be described in which evaluations are accepted from specific users U21 to U23 as specific users who sell specific footwear AA1. Note that explanations similar to those in FIG. 2 will be omitted as appropriate.

Depending on the specific footwear, the number of specific users who purchased it may be small and the number of evaluations may not be sufficient. For example, there is a case where the specified footwear is a newly released product. Here, the case where the number of evaluations is not sufficient means, for example, when generating a model to determine whether or not one size of specific footwear is appropriate for the target user's foot size, the number of evaluations is insufficient. This is a case where the number of evaluations to generate a model to be judged is not sufficient. Therefore, by asking a specific user to wear and evaluate specific footwear of all sizes, a highly accurate determination can be made even if the number of evaluations is insufficient.

Similarly, it is difficult to ask a specific user to wear and evaluate all specific footwear of all sizes. Therefore, for example, for specific footwear for which there is no evaluation information of such a specific user, highly accurate determination can be made by using the evaluation information of the specific user who purchased the specific footwear.

In the following modified example, as an example of a specific user, a case will be described in which a specific user who has expertise in selling footwear including specific footwear AA1 is asked to wear and evaluate specific footwear AA1 of all sizes. Note that the specific user who has expertise in selling footwear including the specific footwear AA1 is, for example, a clerk at a store that sells footwear. In addition, by accepting evaluations from specific users who have expertise in footwear sales, such as store clerks, the reliability of the evaluation increases compared to general specific users who do not have expertise, so more accurate judgments can be made. It becomes possible. Further, in the following modified example, a specific user who has expertise in selling footwear including the specific footwear AA1 will be described as an example of a specific user, but the present invention is not limited to this example. For example, a certain specific user may have a predetermined relationship with the management server 200.

FIG. 10 is a diagram illustrating an example of information processing of the information processing system 1 according to the embodiment. In the following modified example, a case will be described in which the specific footwear AA1 that is to be worn and evaluated by a specific user has nine sizes ranging from 20 cm to 28 cm.

The information processing device 100 acquires evaluation information evaluated by the specific users U21 to U23 for multiple sizes of the specific footwear AA1 (step S301). For example, the information processing device 100 determines that the specific footwear AA1 with a size of 20 cm is "bad", the specific footwear AA1 with a size of 21 cm is "bad", the specific footwear AA1 with a size of 22 cm is "bad", "Good" for specific footwear AA1 of size 23cm; "very good" for specific footwear AA1 of size 24cm; "good" for specific footwear AA1 of size 25cm; "good" for specific footwear AA1 of size 26cm The evaluation information of the specific user U21 who has evaluated the specific footwear AA1 with a size of 27 cm as "bad", the specific footwear AA1 with a size of 28 cm as "bad" is acquired.

Note that in step S301, the information processing device 100 may acquire information for identifying a specific user who sells specific footwear AA1, for example, by accessing the management server 200 (step S301-1). Then, the information processing device 100 may provide information for suggesting that the specific users U21 to U23 evaluate the sizing of the plurality of sizes of the specific footwear AA1.

The information processing device 100 acquires measurement information obtained by measuring the size of the feet of the specific users U21 to U23 (step S302). The information processing device 100 also identifies the foot sizes of the specific users U21 to U23 based on the acquired measurement information.

Based on the acquired evaluation information, the information processing device 100 identifies the allowable range of the size of the specific footwear AA1 that each of the specific users U21 to U23 allows (step S303). For example, using the above evaluation example evaluated by the specific user U21, the information processing device 100 selects the three sizes from 23 cm to 25 cm that the specific user U21 evaluated as "very good" or "good". Specify as acceptable.

Hereinafter, a process for identifying the permissible range will be described using an example of display information displayed on the terminal device 10 for the specific users U21 to U23.

The information processing device 100 transmits information to the terminal device 10 to display information such as "First, try on the size that you usually wear." In this way, the information processing apparatus 100 transmits information for proposing that the size estimated to be optimal for each of the specific users U21 to U23 be evaluated as the first size to be proposed for evaluation. Note that a code such as a QR code (registered trademark) is prepared in advance for each of the nine sizes of specific footwear AA1 to be evaluated, and when the specific users U21 to U23 read the code, the information processing device 100 It may also be possible to specify which size of specific footwear AA1 has been evaluated.

The information processing device 100 transmits information to the terminal device 10 for displaying information such as "Evaluation will be performed for the left and right sizes of the shoes." In this way, the information processing device 100 transmits information for suggesting that each of the nine sizes of the specific footwear AA1 be evaluated on the left and right sides. Note that in the above embodiments, etc., the case where evaluations such as "very good", "good", and "bad" are accepted for each size has been described as an example, but the information processing device 100 Evaluations such as "very good", "good", and "poor" may be accepted for each of the left and right sides.

The information processing device 100 transmits information to the terminal device 10 to display information such as "Regarding the evaluation, select one from very good, good, and bad." In this way, the information processing apparatus 100 transmits information for suggesting that the evaluation be made by selecting one of "very good", "good", and "bad". In the above embodiments, the evaluation is determined by selecting one of "very good", "good", and "bad" as an example. , but not limited to this example. For example, the information processing device 100 may accept the numbers 1 to 5 directly input by the specific users U21 to U23 as evaluations. In this way, the information processing apparatus 100 may transmit information for proposing evaluation by directly inputting the degree of evaluation.

The information processing device 100 transmits information for causing the terminal device 10 to display evaluation criterion information that is a criterion for evaluation. For example, the information processing device 100 uses information such as, "The evaluation criteria for 'very good' is a size that has no problems such as length, width, height, etc., and is an acceptable size." Send information to display. For example, the information processing device 100 may determine that the size is not so good that you would not want to buy it, but that there are some areas of concern such as length, width, and height. '' to display the information. Further, for example, the information processing device 100 transmits information for displaying information such as "The evaluation criteria for 'bad' is a size that is too small or too large, so the size should not be purchased." Note that such evaluation criteria are merely examples, and are not particularly limited.

The specifying unit 132 specifies the size tolerance range allowed by each of the specific users U21 to U23 based on the evaluation information of the evaluation selected from the evaluations based on such predetermined evaluation criteria.

When evaluating each size, the information processing device 100 causes the terminal device 10 to display information such as "Please tie your shoelaces all the way to the top" and "Once you put on your shoes, walk a little to see how they feel." Submit information for. In this way, the information processing apparatus 100 transmits information for suggesting that each of the specific users U21 to U23 be evaluated under predetermined conditions. Thereby, the information processing apparatus 100 can enable each of the specific users U21 to U23 to appropriately evaluate under the same conditions.

The information processing device 100 transmits information to the terminal device 10 to display information such as "I will try on each pair one by one until the size is too small to buy." In this way, the information processing device 100 makes a proposal to reduce the size one by one from the size estimated to be optimal for each of the specific users U21 to U23, and evaluate the size up to the size that they feel is too small to buy. Submit information to

The information processing device 100 transmits information to the terminal device 10 to display information such as "Similarly, I will try on each pair one by one until the size is too big for me to buy." In this way, the information processing device 100 makes a proposal to increase the size one by one starting from the size estimated to be optimal for each of the specific users U21 to U23, and to evaluate the size up to a size that they feel is too large to buy. Submit information to

The specifying unit 132 specifies the size tolerance range allowed by each of the specific users U21 to U23 based on evaluation information evaluated for a plurality of sizes specified in a predetermined order. For example, the specifying unit 132 starts with the size estimated to be optimal for each of the specific users U21 to U23, and gradually decreases or increases the size based on the evaluation information. Specify the allowable size range for each U23.

The information processing device 100 transmits information to the terminal device 10 for displaying information such as ``Once the magnitude of ``bad'' is identified, the evaluation ends.'' In this way, the information processing apparatus 100 transmits information for proposing evaluation until the lower limit and upper limit of the size allowed by each of the specific users U21 to U23 can be specified. Then, the information processing device 100 specifies the range from the lower limit to the upper limit of the size as an allowable range for each of the specific users U21 to U23.

Here, for example, a size of 23 cm to 25 cm is specified as the allowable range of the specific user U21 for the specific footwear AA1, a size of 24 cm to 26 cm is specified as the allowable range of the specific user U22 for the specific footwear AA1, and It is assumed that 25 cm to 27 cm is specified as the allowable range for user U23. Further, it is assumed that the specific user U21's foot size is 24 cm, the specific user U22's foot size is 25 cm, and the specific user U23's foot size is 26 cm.

The information processing device 100 determines whether one size of the specific footwear AA1 corresponds to the foot size of the target user based on the first correlation between each specified allowable range and the foot size of the specific users U21 to U23. It is determined whether or not it is appropriate (step S304). For example, if the target user's foot size is 24 cm, the information processing device 100 determines that the specific footwear AA1 is appropriate for the target user if the size of one of the shoes is between 23 cm and 25 cm. Further, for example, when the target user's foot size is 25 cm, the information processing device 100 determines that the specific footwear AA1 is appropriate for the target user if the size of one of the shoes is between 24 cm and 26 cm. . Further, for example, when the target user's foot size is 26 cm, the information processing device 100 determines that the specific footwear AA1 is appropriate for the target user if the size of one of the shoes is between 25 cm and 27 cm. .

(Second embodiment)
Incidentally, depending on the user, there may be a difference in the shape of the left and right feet. Therefore, in the second embodiment, a service is provided to a target user who has a left-right difference in foot characteristics (size) based on evaluation information of a specific user who has a left-right difference in foot characteristics (size). The information processing device 100 according to the second embodiment will be described below. Further, below, a case will be described in which the specific user and the target user are users who each have a difference in the shape of their left and right feet.

[8. Configuration of information processing device]
First, a configuration example of the information processing apparatus 100 according to the embodiment will be described using FIG. 11. FIG. 11 is a block diagram illustrating an example of an information processing device 100 according to the second embodiment. As shown in FIG. 11, the information processing device 100 includes a communication section 110, a storage section 140, and a control section 150. Note that the information processing device 100 has an input unit (for example, a keyboard, a mouse, etc.) that accepts 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 Department 110)
The communication unit 110 is realized by, for example, a NIC or the like. The communication unit 110 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 10 and the like via the network N.

(Storage unit 140)
The storage unit 140 is realized by, for example, a semiconductor memory device 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. 11, the storage section 140 includes an evaluation information storage section 141 and a measurement information storage section 142.

The evaluation information storage unit 141 stores evaluation information of a specific user who has evaluated the size of specific footwear. Here, FIG. 12 shows an example of the evaluation information storage unit 141 according to the embodiment. As shown in FIG. 12, the evaluation information storage unit 121 has items such as "specific user ID," "specific footwear," "evaluation information (right foot)," and "evaluation information (left foot)."

"Specific user ID" indicates identification information for identifying a specific user. “Specific footwear” indicates specific footwear evaluated by a specific user. "Evaluation information (right foot)" and "evaluation information (left foot)" indicate evaluation information of the right foot and left foot, respectively, evaluated by the specific user. In the example shown in FIG. 12, conceptual information such as "evaluation information #111" and "evaluation information #112" is stored in "evaluation information", but in reality, for example, "size: 25 cm" is stored. , Rating: Very Good" and other information is stored.

That is, in FIG. 12, the specific footwear evaluated by the specific user identified by the specific user ID "U11" is "specific footwear AA1", the evaluation information (right foot) is "evaluation information #111", and the evaluation information (left foot) Here is an example.

The measurement information storage unit 142 stores measurement information of the specific user's foot size. Here, FIG. 13 shows an example of the measurement information storage unit 142 according to the embodiment. As shown in FIG. 13, the measurement information storage unit 122 has items such as "specific user ID", "attribute", "measurement information (right foot)", and "measurement information (left foot)".

"Specific user ID" indicates identification information for identifying a specific user. "Attribute" indicates the specific user's attributes (eg, age, gender, etc.). “Measurement information (right foot)” and “measurement information (left foot)” indicate measurement information about the sizes of the left and right feet of the specific user, measured at any given time. In the example shown in FIG. 13, conceptual information such as "measurement information #111" and "measurement information #112" is stored in "measurement information (right foot)" and "measurement information (left foot)". In reality, for example, information such as "Time: July 2021, Foot length: 25 cm, Foot circumference: 24 cm, Foot width: 10 cm, Instep height: 6 cm, Heel width: 6 cm" is stored.

That is, in FIG. 13, the attributes of the specific user identified by the specific user ID "U11" are "age: 30 years old, gender: male", the measurement information (right foot) is "measurement information #111", and the measurement information ( An example in which the left foot) is "measurement information #112" is shown.

(Control unit 150)
The control unit 150 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 information processing device 100 using the RAM as a work area. Further, the control unit 150 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or an FPGA.

As shown in FIG. 11, the control unit 150 includes an acquisition unit 151, a specification unit 152, a generation unit 153, a determination unit 154, and a provision unit 155, and realizes the information processing operation described below. Or run. Note that the internal configuration of the control unit 150 is not limited to the configuration shown in FIG. 11, and may be any other configuration as long as it performs information processing to be described later.

(Acquisition unit 151)
The acquisition unit 151 acquires various information. The acquisition unit 151 acquires various information from an external information processing device. The acquisition unit 151 acquires various information from other information processing devices such as the terminal device 10.

The acquisition unit 151 acquires various information from the storage unit 140. The acquisition unit 151 acquires various information from the evaluation information storage unit 141 and the measurement information storage unit 142. Further, the acquisition unit 151 stores various types of acquired information in the storage unit 140. The acquisition unit 151 stores various information in the evaluation information storage unit 141 and the measurement information storage unit 142.

The acquisition unit 151 acquires evaluation information for multiple sizes of specific footwear. For example, the acquisition unit 151 acquires evaluation information of one size evaluated by a specific user who purchased specific footwear for each of the left and right feet. For example, the acquisition unit 151 acquires evaluation information of one specific user who evaluated one size of specific footwear, and evaluation information of two specific users who evaluated two sizes of specific footwear. Note that the first size may be the same as the second size.

The acquisition unit 151 acquires measurement information of the size of each of the left and right feet of the specific user.

(Specific part 152)
The specifying unit 152 determines the allowable size range for the specific footwear that the specific user allows based on the evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of the specific footwear. Identify. For example, the identifying unit 152 extracts specific users who have left and right foot shape differences based on the measurement information stored in the measurement information storage unit 142. Note that the foot shape is a concept that includes foot length, foot circumference, foot width, instep height, heel width, etc.

For example, the specifying unit 152 determines whether the specific user is satisfied with the specific footwear based on the evaluation information acquired by the acquiring unit 151 for each attribute classified based on the characteristics of the extracted left-right difference in the shape of the specific user's feet. Identify acceptable size tolerances. Here, the characteristics of left-right differences include, for example, the right foot is larger or the left foot is larger, the difference between the right foot and the left foot (how much the right foot and left foot are different), the difference in shape ( For example, the right foot may have a flat foot).

For example, the identifying unit 152 determines the size that each of the plurality of users is estimated to allow for the specific footwear, based on the second correlation between the evaluation information acquired by the acquiring unit 151 and the foot size of the specific user. Specify the allowable range for each attribute. For example, the identifying unit 152 specifies one tolerance range as the size tolerance range that is estimated to be acceptable to one specific user, and specifies a second tolerance range as the size tolerance range that is estimated to be acceptable to a second specific user. Identify the range. Note that the first tolerance range may be the same as the second tolerance range.

The identifying unit 152 estimates that each of the plurality of users included in each attribute accepts the size based on the score indicating the degree of fit of each of the plurality of users' feet for the plurality of sizes, which is calculated based on the second correlation. Identify size tolerances. For example, the specifying unit 152 specifies a size tolerance range that is estimated to be acceptable to each of the plurality of users, based on the score calculated using the model generated based on the second correlation.

The identifying unit 152 identifies the size of the specific user's feet based on the measurement information acquired by the acquiring unit 151.

(Generation unit 153)
The generation unit 153 generates first correlation information for each of the left and right feet for each attribute classified by the specific user according to the characteristics of the left-right difference in the shape of the feet. That is, the generation unit 153 generates first correlation information for each of the left and right feet for each attribute, such as the right foot is large, the left foot is large, etc.

The generation unit 153 generates a model that calculates a score indicating the degree of fit for each of the specific user's left and right foot sizes for a plurality of sizes, based on the second correlation. For example, the generation unit 153 generates a model for each attribute classified based on the characteristics of the left-right difference in foot shape.

For example, the generation unit 153 generates a relationship between the size of each of the left and right feet of the specific user and the score of whether the feet of that size fit the one size of the specific footwear. Generate a model that has learned .

(Determination unit 154)
The determining unit 154 determines that one size of the specific footwear is based on the first correlation between the allowable range specified by the specifying unit 152 and the foot size of the specific user who has a difference in the shape of the left and right feet. It is determined for each of the left and right feet whether the size is appropriate for the size of the left and right feet of the target user.

Further, the determining unit 154 determines whether one size of the specific footwear is appropriate for the target user's foot size, based on the score calculated using the model generated by the generating unit 153. judge. For example, the determination unit 154 determines whether one size of specific footwear is appropriate for the size of the target user's feet using a model with attributes similar to the characteristics of the left-right difference between the feet of the target user. judge.

For example, the determination unit 154 determines whether the scores calculated for each of the left and right feet are greater than or equal to a predetermined threshold. Then, the determination unit 154 determines whether one size of the specific footwear is relative to the foot size of the target user based on whether the scores calculated for each of the left and right feet are equal to or higher than a predetermined threshold. Determine whether it is appropriate.

(Providing unit 155)
The providing unit 155 provides (transmits) a service according to the foot size of the target user, who has different left and right foot shapes. For example, the providing unit 155 provides a service depending on the size of the left and right feet of the target user based on the determination result by the determining unit 154. For example, the providing unit 135 provides information that suggests purchasing a certain size of specific footwear, or information that a certain size of specific footwear is inappropriate.

The providing unit 155 provides information regarding the suitability of the specific footwear for each of the left and right foot sizes of the target user, as information suggesting the purchase of one size of the specific footwear. Here, an example of a service provided by the providing unit 155 according to the embodiment will be described using FIG. 14.

As shown in FIG. 14, the providing unit 155 provides information regarding the recommended size of the recommended specific footwear, the suitability of the left and right feet of the specific footwear, etc. as information for suggesting the purchase of one size of the specific footwear. do. Note that the degree of fitness here corresponds to a score of whether the specific footwear fits one size.

For example, based on the determination result by the determination unit 154, the providing unit 155 proposes information in which a list of specific footwear and one size of the specific footwear whose fitness levels for the left and right feet exceed a predetermined value are displayed.

In other words, in this case, for the target user who has a difference in the shape of his feet, a list of specific footwear that can absorb the difference in the shape of his feet will be displayed. In other words, the providing unit 155 proposes specific footwear that is adapted to each of the left and right feet to a target user who has different left and right foot shapes.

Thereby, the information processing apparatus 100 can promote further improvement of the service according to the foot size of the target user.

At this time, the specific footwear to be proposed may be divided into categories (such as "all", "sneakers", and "pumps" in the figure). Note that the specific footwear category may be automatically generated depending on the proposed specific footwear. For example, the providing unit 155 may automatically generate a category that combines a plurality of conditions, such as "pumps with a heel of 5 cm", based on common features of the proposed specific footwear. Thereby, it is possible to easily search for the category and specific footwear that the target user desires to purchase.

[9. Processing flow of information processing]
Next, the processing procedure executed by the information processing apparatus 100 according to the second embodiment will be described using FIGS. 15 and 16. 15 and 16 are flowcharts illustrating an example of information processing according to the embodiment.

First, the second correlation information generation process will be described using FIG. 15. As shown in FIG. 15, the information processing apparatus 100 first extracts a specific user who has a left-right foot shape difference (step S301).

Subsequently, the information processing device 100 generates second correlation information for each attribute for each of the left and right footwear pieces based on the evaluation results of each specific user (step S302). Then, the process ends.

Next, the process of providing services to the target user will be described using FIG. 16. As shown in FIG. 16, first, the information processing device 100 determines whether each specific footwear item is suitable for each of the left and right feet of the target user, based on the second correlation information of the attributes that have similar left and right foot shape differences of the target user. The degree of fitness is determined (step S401).

Subsequently, the information processing device 100 extracts specific footwear to be recommended to the target user based on the determined fitness level (step S402). Then, the information processing device 100 provides information regarding the extracted specific footwear (step S403), and ends the process.

[10. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes the specifying section 132, the generating section 133, and the providing section 135. The specifying unit 132 specifies an allowable range of sizes for the specific footwear that the specific user allows, based on evaluation information evaluated by the specific user for a plurality of sizes of the specific footwear. The generation unit 133 generates first correlation information indicating the first correlation between the allowable range specified by the identification unit 132 and the specific user's foot size. The providing unit 135 provides a service according to the foot size of the target user based on the first correlation information generated by the generating unit 133.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide a service according to the target user's foot size based on evaluations of multiple sizes.

Furthermore, the generation unit 133 generates second correlation information indicating a second correlation between the evaluations of the plurality of users who purchased the specific footwear as the specific user and the foot sizes of the plurality of users. Further, the specifying unit 132 specifies, based on the second correlation information generated by the generating unit 133, a size tolerance range that is estimated to be acceptable to each of the plurality of users for the specific footwear.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately specify the allowable range of sizes that are estimated to be allowable by each of the plurality of users for the specific footwear. For example, the information processing apparatus 100 according to the embodiment can appropriately estimate how a specific user feels about specific footwear of a size that the specific user has not purchased.

Further, the specifying unit 132 specifies the allowable range based on the score indicating the degree of fit of each of the feet of the plurality of users with respect to the plurality of sizes, which is calculated based on the second correlation information.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately specify the allowable range of sizes that are estimated to be allowable by each of the plurality of users for the specific footwear. For example, the information processing apparatus 100 according to the embodiment can appropriately estimate how a specific user feels about specific footwear of a size that the specific user has not purchased.

Further, the providing unit 135 provides a service based on a determination result of whether one size of specific footwear is appropriate for the target user's foot size.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide a service based on whether one size among the plurality of sizes fits the feet of the target user.

Further, the specifying unit 132 specifies an allowable range based on evaluation information evaluated by a specific user selecting from among evaluations based on predetermined evaluation criteria.

Thereby, the information processing apparatus 100 according to the embodiment can enable each specific user to appropriately evaluate under the same conditions.

Further, the specifying unit 132 specifies an allowable range based on evaluation information evaluated for a plurality of sizes specified in a predetermined order.

Thereby, the information processing apparatus 100 according to the embodiment can enable each specific user to appropriately evaluate under the same conditions.

Further, the specific user is a user who has expertise in selling footwear including specific footwear.

As a result, the information processing device 100 according to the embodiment receives evaluations from specific users who have expertise in selling footwear, thereby increasing the reliability of the evaluations compared to general specific users who do not have expertise. , it is possible to make more accurate judgments.

Furthermore, the information processing device 100 determines the size that the specific user allows for the specific footwear, based on the evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of the specific footwear. a specifying unit 152 that specifies the allowable range; and a generating unit that generates first correlation information indicating a first correlation between the allowable range specified by the specifying unit 152 and the foot size of the specific user for each of the left and right feet. 153 , and a providing unit 155 that provides a service according to the foot size of a target user who has a left-right foot shape difference based on the first correlation information generated by the generating unit 153 .

Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide a service according to the size of the target user's feet to the target user who has a difference in the shape of the left and right feet.

Further, the generation unit 153 generates first correlation information for each of the left and right feet for each attribute of the specific user classified according to the characteristics of the left-right difference in the shape of the feet, and the providing unit 155 The service is provided based on the corresponding first correlation information.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide a service according to the size of the target user's feet, depending on the left-right difference in the shape of the target user's feet.

Furthermore, the generation unit 153 generates first correlation information regarding an attribute where the right foot is larger among the left and right feet, and first correlation information regarding an attribute where the left foot is larger among the left and right feet.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately provide a service according to the foot size of the target user according to the target user's attributes.

Furthermore, the generation unit 153 generates first correlation information for each attribute classified according to the difference between the right foot, left foot, and shape.

As a result, the information processing device 100 according to the embodiment can generate the first correlation information according to the difference between the shapes of the right foot and the left foot, so that it is possible to provide a service that is more suitable for the feet of the target user. can.

Further, the providing unit 155 provides a service based on the suitability of specific footwear for each of the left and right foot sizes of the target user.

Thereby, the information processing device 100 according to the embodiment can provide a service that is more suitable for the target user according to the degree of adaptability.

Further, the providing unit 155 provides a service regarding specific footwear whose fitness exceeds a predetermined value for each of the left and right foot sizes of the target user.

Thereby, the information processing device 100 according to the embodiment can provide a service related to specific footwear suitable for the target user's feet.

[11. Hardware configuration]
Further, the terminal device 10, the information processing device 100, and the management server 200 according to the embodiments described above are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 17 is a hardware configuration diagram showing an example of a computer that implements the functions of the terminal device 10, the information processing device 100, and the management server 200. Computer 1000 has CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I/F) 1500, input/output interface (I/F) 1600, and media interface (I/F) 1700.

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

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via a predetermined communication network and sends it to CPU 1100, and transmits data generated by CPU 1100 to other devices via a predetermined communication network.

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

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200. CPU 1100 loads this program from recording medium 1800 onto RAM 1200 via 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 a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

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 controls the control units 14, 130 by executing a program loaded on the RAM 1200. and 230 functions. 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.

[12. others〕
Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the process can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

Further, the embodiments described above can be combined as appropriate within the range that does not conflict with the processing contents.

Some of the embodiments of the present application have been described above in detail based on the drawings, but these are merely examples, and various modifications and variations may be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to carry out the invention in other forms with modifications.

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

1 Information processing system 10 Terminal device 100 Information processing device 121 Evaluation information storage section 122 Measurement information storage section 131 Acquisition section 132 Specification section 133 Generation section 134 Determination section 135 Providing section 140 Storage section 141 Evaluation information storage section 142 Measurement information storage section 150 Control unit 151 Acquisition unit 152 Specification unit 153 Generation unit 154 Determination unit 155 Provision unit 155 Proposal unit 200 Management server

Claims (14)

a specifying unit that specifies an allowable range of sizes for the specific footwear that the specific user allows based on evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of the specific footwear; ,
a generation unit that generates first correlation information indicating a first correlation between the allowable range specified by the identification unit and the foot size of the specific user for each of the left and right feet;
and a providing unit that provides a service according to the foot size of a target user who has a left-right foot shape difference based on the first correlation information generated by the generating unit. . The generation unit is
generating the first correlation information for each of the left and right feet for each attribute that classified the specific user according to the characteristics of the left-right difference in foot shape;
The provision department is
The information processing apparatus according to claim 1, wherein a service is provided based on first correlation information according to the attribute of the target user. The generation unit is
The information processing device according to claim 2, wherein the first correlation information of the attribute that the right foot is larger among the left and right feet, and the first correlation information of the attribute that the left foot is larger among the left and right feet are generated. The generation unit is
The information processing device according to claim 2, wherein first correlation information is generated for each of the attributes classified according to a difference in shape between a right foot and a left foot. The provision department is
The information processing device according to claim 1, wherein the service is provided based on the suitability of the specific footwear for each of the left and right foot sizes of the target user. The provision department is
The information processing apparatus according to claim 5, wherein the service regarding the specific footwear whose fitness exceeds a predetermined value is provided for each of the left and right foot sizes of the target user. The generation unit is
generating second correlation information indicating a second correlation between the evaluations of multiple users who have purchased the specific footwear as the specific user and the foot sizes of the multiple users;
The specific part is
2. The method according to claim 1, wherein the permissible range of the size of the specific footwear that is estimated to be permissible by each of the plurality of users is specified based on the second correlation information generated by the generation unit. The information processing device described. The specific part is
8. The permissible range is specified based on a score indicating a degree of fit of each of the plurality of users' feet to the plurality of sizes, which is calculated based on the second correlation information. information processing equipment. The provision department is
The information processing apparatus according to claim 1, wherein the service is provided based on a determination result of whether one size of the specific footwear is appropriate for the foot size of the target user. The specific part is
The information processing device according to claim 1, wherein the permissible range is specified based on the evaluation information evaluated by the specific user selecting from among evaluations based on predetermined evaluation criteria. . The specific part is
The information processing apparatus according to claim 1, wherein the permissible range is specified based on the evaluation information evaluated for the plurality of sizes specified in a predetermined order. The information processing device according to claim 1, wherein the specific user is a user who has expertise in selling footwear including the specific footwear. An information processing method performed by a computer, the method comprising:
a specific step of specifying an acceptable range of sizes for the specific footwear that the specific user accepts based on evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of the specific footwear; ,
a generation step of generating first correlation information indicating a first correlation between the tolerance range specified in the identification step and the size of the foot of the specific user for each of the left and right feet;
and a providing step of providing a service according to the foot size of a target user who has a left-right foot shape difference based on the first correlation information generated in the generating step. . A specific procedure for specifying an acceptable range of sizes for specific footwear that is acceptable to the specific user based on evaluation information evaluated by the specific user who has left and right foot shape differences for multiple sizes of specific footwear; ,
a generation procedure of generating first correlation information for each of the left and right feet, which indicates a first correlation between the tolerance range identified by the identification procedure and the foot size of the specific user;
and a provision procedure for providing a service according to the foot size of a target user who has a left-right foot shape difference based on the first correlation information generated by the generation procedure. Information processing program.

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