Computer system, recommended information provision control method, and program

The computer system estimates and displays purchase recommendation dates for wearable items based on user measurements, addressing the lack of specific purchase timing for items like shoes and hats, ensuring comfortable fit and informed purchasing.

JP2025105311AActive Publication Date: 2025-07-10ZOZO INC
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Patent Information

Application Number
JP2023223776
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-29
Publication Date
2025-07-10
Estimated Expiration
2043-12-29

AI Technical Summary

Technical Problem

Existing technologies fail to provide specific recommended purchase dates for wearable items beyond the point at which a user can no longer wear them, and this issue extends to items other than clothing like shoes and hats.

Method used

A computer system that estimates and displays recommended purchase dates for larger sizes of wearable items based on user measurements and comfort periods, using a terminal device to present this information.

Benefits of technology

Enables accurate estimation and display of purchase recommendation dates for items that fit comfortably after the current size, enhancing user convenience and informed purchasing decisions.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide information indicating a recommended date to purchase an item for a target user who wears the item.SOLUTION: A server system 1100 comprises: an estimation unit 217 that, by using first target user measurement information related to a wearing part where an item is worn, and a wearing size of the first target user who wears the item, estimates a first purchase recommended date that is a recommended date to purchase the item related to a first recommended size larger than the wearing size; and a recommendation control unit 219 that executes recommended date presentation control based on the first purchase recommended date as display control to be displayed on a terminal device.SELECTED DRAWING: Figure 15
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Description

Technical Field

[0001] The present invention relates to a computer system or the like that causes a terminal device to display recommended information on an item wearable by a user.

Background Art

[0002] Conventionally, technologies for providing information on clothing according to changes in the body shape of a wearer have been proposed. For example, Patent Document 1 discloses a technology for providing information for purchasing decisions on children's clothing. Specifically, in the technology of Patent Document 1, an allowable size for wearing children's clothing is stored in advance, and the limit date and time when the wearing user (child user) can no longer wear the children's clothing is predicted from the allowable size and the growth pattern of the wearing user (child user). Therefore, the user can consider purchasing the children's clothing after grasping the wearable period of the children's clothing.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, the technology of Patent Document 1 presents to the user the period until the child user can no longer wear the children's clothing as the wearable period, and does not present a specific time when purchase is recommended for a size that will be wearable later. Also, although clothing was mentioned as a wearable item, there were similar problems for wearable items other than clothing such as shoes and hats.

[0005] The problem to be solved by the present invention is to provide a technology capable of presenting information indicating the recommended purchase date of an item to the target user who wears the item.

Means for Solving the Problem

[0006] A first invention for solving the above problems is a computer system that controls a terminal device to display recommendation information of an item wearable by a user. The computer system includes an estimation unit that estimates a first purchase recommendation date, which is a purchase recommendation date of the item related to a first recommended size larger than the wearing size, using measurement information of a first target user related to a wearing part where the item is worn and the wearing size of the first target user who wears the item, and a recommendation control unit that executes recommendation date presentation control based on the first purchase recommendation date as display control to be displayed on the terminal device.

[0007] According to the first invention, it is possible to estimate a first purchase recommendation date for recommending the purchase of an item of a first recommended size larger than the wearing size for the first target user, and to perform recommendation date presentation control based on the first purchase recommendation date as display control to be displayed on the terminal device. According to this, it is possible to present information indicating the purchase recommendation date with a size larger than the wearing size of the first target user as the first recommended size.

[0008] Further, a second invention is the above invention, wherein the estimation unit estimates a first recommended size comfortable period during which the first recommended size can be comfortably worn by the first target user based on the measurement information and the wearing size of the first target user, and estimates the first purchase recommendation date based on the first recommended size comfortable period.

[0009] According to the second invention, it is possible to estimate the first purchase recommendation date from the first recommended size comfortable period during which the first recommended size can be comfortably worn by the first target user.

[0010] Further, in the third invention, in the above invention, the estimation unit uses the measurement information of the second target user related to the wearing part where the item is worn and the wearing size of the second target user who wears the item to estimate a second purchase recommendation date, which is the purchase recommendation date of the item related to a second recommended size larger than the wearing size, and the recommendation control unit executes the recommended date presentation control based on the first purchase recommendation date and the second purchase recommendation date. It is a computer system.

[0011] According to the third invention, a second purchase recommendation date for recommending the purchase of an item of a second recommended size larger than the wearing size for the second target user can be estimated, and as display control for displaying on the terminal device, recommended date presentation control based on the second purchase recommendation date can be performed.

[0012] Further, in the fourth invention, in the above invention, the recommendation control unit causes the terminal device to display a first prediction change graph showing a predicted change in the measurement information based on the measurement information of the first target user, a first indicator indicating a point on the first prediction change graph corresponding to the first purchase recommendation date, a second prediction change graph showing a predicted change in the measurement information based on the measurement information of the second target user, and a second indicator indicating a point on the second prediction change graph corresponding to the second purchase recommendation date, thereby performing the recommended date presentation control. It is a computer system.

[0013] According to the fourth invention, a first prediction change graph showing a predicted change in the measurement information of the first target user can be displayed on the terminal device, and a first indicator indicating the first purchase recommendation date on the first prediction change graph can be displayed. Also, a second prediction change graph showing a predicted change in the measurement information of the second target user can be displayed on the terminal device, and a second indicator indicating the second purchase recommendation date on the second prediction change graph can be displayed.

[0014] Further, in a fifth invention, in the above invention, the recommended control unit causes the terminal device to display a first predicted change graph indicating a predicted change in the measurement information based on the measurement information of the first target user, a first indicator indicating a point on the first predicted change graph corresponding to the first purchase recommendation date, and a display body indicating the second purchase recommendation date, thereby performing the recommended date presentation control, which is a computer system.

[0015] According to the fifth invention, it is possible to display on the terminal device a first predicted change graph indicating a predicted change in the measurement information of the first target user, and to display a first indicator indicating the first purchase recommendation date on the first predicted change graph. Further, a display body indicating the second purchase recommendation date can be displayed on the terminal device.

[0016] Further, a sixth invention is a computer system that further includes an online shopping function unit for selling the item through online shopping using the terminal device as a man-machine interface, and a user data management unit for managing data of registered users in the online shopping and data of the first target user associated with the registered users, and the recommended control unit executes the recommended date presentation control at a predetermined purchase timing by the registered user.

[0017] According to the sixth invention, it is possible to perform the recommended date presentation control at the purchase timing of registered users in online shopping.

[0018] Further, in the seventh invention, based on the measurement information and the wearing size of the first target user, the estimation unit estimates a first recommended size comfort period during which the first target user can comfortably wear the first recommended size, estimates the first purchase recommendation date based on the first recommended size comfort period, based on the measurement information and the wearing size of the second target user, estimates a second recommended size comfort period during which the second target user can comfortably wear the second recommended size, estimates the second purchase recommendation date based on the second recommended size comfort period, and the recommendation control unit performs control to simultaneously display the first recommended size comfort period and the second recommended size comfort period on the terminal device. It is a computer system.

[0019] According to the seventh invention, the first purchase recommendation date can be estimated from the first recommended size comfort period during which the first target user can comfortably wear the first recommended size. Also, the first purchase recommendation date can be estimated from the second recommended size comfort period during which the second target user can comfortably wear the second recommended size. And the first recommended size comfort period and the second recommended size comfort period can be simultaneously displayed on the terminal device.

[0020] Further, in the eighth invention, the recommendation control unit performs control to display the first recommended size and the first recommended size comfort period in association with each other on the terminal device, and to display the second recommended size and the second recommended size comfort period in association with each other on the terminal device. It is a computer system.

[0021] According to the eighth invention, the first recommended size and the first recommended size comfort period can be displayed in association with each other on the terminal device, and the second recommended size and the second recommended size comfort period can be displayed in association with each other on the terminal device.

[0022] Moreover, a ninth invention is a computer system that, in the above invention, causes the recommendation control unit to display a predetermined calendar on the terminal device, and in the calendar display, a first identifier indicating that the date corresponding to the first purchase recommendation date is the purchase recommendation date of the first target user, and a second identifier indicating that the date corresponding to the second purchase recommendation date is the purchase recommendation date of the second target user, and executes the recommendation date presentation control by displaying these.

[0023] According to the ninth invention, it is possible to display a first identifier on the date corresponding to the first purchase recommendation date on the calendar to indicate that it is the purchase recommendation date for the first target user, and to display a second identifier on the date corresponding to the second purchase recommendation date to indicate that it is the purchase recommendation date for the second target user.

[0024] Moreover, a tenth invention is a computer system that performs control to display recommendation information of an item wearable by a user on a terminal device, and includes a first estimation unit that estimates a first purchase recommendation date, which is the purchase recommendation date of the item by the first target user, using measurement information of the first target user related to the wearing part where the item is worn, a second estimation unit that estimates a second purchase recommendation date, which is the purchase recommendation date of the item by the second target user, using measurement information of the second target user related to the wearing part where the item is worn, and a recommendation control unit that executes recommendation date presentation control based on the first purchase recommendation date and the second purchase recommendation date as display control to be displayed on the terminal device. The recommendation control unit displays, on the terminal device, a first prediction change graph indicating a predicted change in the measurement information based on the measurement information of the first target user, a first indicator indicating a point on the first prediction change graph corresponding to the first purchase recommendation date, a second prediction change graph indicating a predicted change in the measurement information based on the measurement information of the second target user, and a second indicator indicating a point on the second prediction change graph corresponding to the second purchase recommendation date, thereby performing the recommendation date presentation control.

[0025] According to the tenth invention, the first purchase recommendation date of an item is estimated for a first target user, and the second purchase recommendation date of the item is estimated for a second target user. As display control for causing the terminal device to display, recommendation date presentation control based on the first purchase recommendation date and the second purchase recommendation date can be performed. And, as the recommendation date presentation control, a first prediction change graph showing a predicted change in the measurement information of the first target user is caused to be displayed on the terminal device, and a first indicator indicating the first purchase recommendation date can be displayed on the first prediction change graph. Also, a second prediction change graph showing a predicted change in the measurement information of the second target user is caused to be displayed on the terminal device, and a second indicator indicating the second purchase recommendation date can be displayed on the second prediction change graph.

[0026] Further, the eleventh invention is an online shopping system including a server system which is the computer system of the above invention, and the terminal device.

[0027] According to the eleventh invention, an online shopping system having the same operational effects as the above invention can be realized.

[0028] Further, the twelfth invention is a recommended information providing control method for causing a computer system to execute control for causing a terminal device to display recommended information on an item wearable by a user. The method includes estimating a first purchase recommendation date which is the purchase recommendation date of the item related to a first recommended size larger than the wearing size, using the measurement information of a first target user related to a wearing part where the item is worn and the wearing size of the first target user who wears the item, and performing, as display control for causing the terminal device to display, recommended date presentation control based on the first purchase recommendation date.

[0029] According to the twelfth invention, a recommended information providing control method having the same operational effects as the first invention can be realized.

[0030] Further, a 13th invention is a recommended information providing control method for a computer system to execute control for causing a terminal device to display recommended information of an item wearable by a user, estimating a first purchase recommendation date which is a purchase recommendation date of the item by the first target user, using measurement information of the first target user related to a wearing part where the item is worn, estimating a second purchase recommendation date which is a purchase recommendation date of the item by the second target user, using measurement information of the second target user related to a wearing part where the item is worn, and performing recommendation date presentation control based on the first purchase recommendation date and the second purchase recommendation date as display control to be displayed on the terminal device, wherein the recommendation date presentation control includes causing the terminal device to display a first predicted change graph showing a predicted change of the measurement information based on the measurement information of the first target user, a first indicator showing a point on the first predicted change graph corresponding to the first purchase recommendation date, a second predicted change graph showing a predicted change of the measurement information based on the measurement information of the second target user, and a second indicator showing a point on the second predicted change graph corresponding to the second purchase recommendation date. This is a recommended information providing control method.

[0031] According to the 13th invention, a recommended information providing control method having the same operational effects as the 10th invention can be realized.

[0032] Further, a 14th invention is a program for causing a terminal device to execute control for displaying recommended information of an item wearable by a user, communicating with a server system that estimates a first purchase recommendation date which is a purchase recommendation date of the item related to a first recommended size larger than the wearing size, using measurement information of the first target user related to a wearing part where the item is worn and the wearing size of the first target user wearing the item, and causing the terminal device to perform recommendation date presentation control based on the first purchase recommendation date. This is a program for causing the terminal device to execute the above.

[0033] According to the 14th invention, a program having the same operational effects as the 1st invention can be realized.

[0034] Moreover, the 15th invention is a program for causing a terminal device to execute control for displaying recommendation information of an item wearable by a user. Using measurement information of a first target user related to a wearing part where the item is worn, a first purchase recommendation date, which is a purchase recommendation date of the item by the first target user, is estimated. Communication is performed with a server system that estimates a second purchase recommendation date, which is a purchase recommendation date of the item by the second target user, using measurement information of a second target user related to a wearing part where the item is worn. Display control of a first prediction change graph showing a predictive change of the measurement information based on the measurement information of the first target user, display control of a first indicator showing a point on the first prediction change graph corresponding to the first purchase recommendation date, display control of a second prediction change graph showing a predictive change of the measurement information based on the measurement information of the second target user, and display control of a second indicator showing a point on the second prediction change graph corresponding to the second purchase recommendation date are performed to cause the terminal device to execute the program.

[0035] According to the 15th invention, a program having the same operational effects as the 10th invention can be realized.

Brief Description of the Drawings

[0036]

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Best Mode for Carrying Out the Invention

[0037] Hereinafter, with reference to the drawings, preferred embodiments of the present invention will be described. Note that the present invention is not limited by the embodiments described below, nor is the applicable form of the present invention limited to the following embodiments. Also, in the description of the drawings, the same parts are denoted by the same reference numerals. Hereinafter, shoes (ankle boots), which are one of the items of footwear, will be taken as an example for description, but the same applies when selling footwear including boots (knee-high boots) as an item, and the same also applies when selling other items such as clothing and hats. [Overall Configuration] FIG. 1 is a diagram showing an overall configuration example of an online shopping system 1000 according to the present embodiment. As shown in FIG. 1, the online shopping system 1000 includes a server system 1100 and a terminal device 1500, which are connected to be capable of data communication with each other via a network 9. The online shopping system 1000 provides an online shopping service for selling items that can be worn by users. Hereinafter, shoes will be taken as an example of the item for description, but the same applies when selling other items.

[0038] The network 9 means a communication path capable of data communication. That is, the network 9 includes, in addition to a dedicated line (dedicated cable) for direct connection and a LAN (Local Area Network) such as Ethernet (registered trademark), communication networks such as a telephone communication network, a cable network, and the Internet, and the communication method may be wired / wireless.

[0039] The server system 1100 is a computer system including a main body device 1101, a keyboard 1106, a touch panel 1108, and a storage 1140. The main body device 1101 incorporates a control board 1150 on which various microprocessors such as a CPU (Central Processing Unit) 1151, a GPU (Graphics Processing Unit), and a DSP (Digital Signal Processor), various IC memories 1152 such as VRAM, RAM, and ROM, and electronic components such as a communication device 1153 are mounted. Note that part or all of the control board 1150 may be realized by an ASIC (Application Specific Integrated Circuit), an FPGA (field-programmable gate array), or a SoC (System on a Chip).

[0040] This server system 1100 realizes a user management function that performs user registration and manages data by associating it with an account by performing arithmetic processing by the CPU 1151 or the like based on a predetermined program and data, and an online shopping function related to the provision of an online shopping service. It also includes a program for the terminal device 1500 to realize each function and the provision of various data necessary for the execution of the program. A user who has completed the registration procedure (registered user) accesses the server system 1100 with his or her terminal device 1500, logs in with the issued registered user ID, and enjoys online shopping.

[0041] In addition, in FIG. 1, only one terminal device 1500 is depicted, but in actual system operation, a plurality of terminal devices 1500 can access the server system 1100 simultaneously.

[0042] Also, although the server system 1100 is depicted as if it were a single server device, it may be configured to be realized by a plurality of devices. For example, the server system 1100 may be configured to include a plurality of blade servers that share each function and are connected to be able to communicate data with each other via an internal bus. Also, the installation location of the hardware constituting the server system 1100 is not limited. A configuration in which a plurality of independent servers installed at distant locations communicate data via the network 9 so as to function as the server system 1100 as a whole may also be used.

[0043] The terminal device 1500 is a computer system that undertakes the function of a man-machine interface. It can be connected to the network 9 via a communication base station or the like and perform data communication with the server system 1100. The terminal device 1500 shown in FIG. 2 is classified as a so-called smartphone. However, as long as it is a computer, it may be a wearable computer such as a smartwatch, a portable game device, a tablet computer, a personal computer, or the like. When a combination of a plurality of electronic devices, such as a combination of a smartphone and a smartwatch communicatively connected to the smartphone, are organically connected to perform one function, these plurality of electronic devices can be regarded as one terminal device 1500.

[0044] FIG. 2 is a diagram showing an example of the device configuration of a smartphone, which is an example of the terminal device 1500. As shown in FIG. 2, the terminal device 1500 includes a direction input key 1502, a home key 1504, a touch panel 1506 that functions as an image display device and a contact position input device, a built-in battery 1509, a speaker 1510, a microphone 1512, a camera 1520, a control board 1550, and a memory card reader 1542 capable of reading and writing data to and from a memory card 1540, which is a computer-readable storage medium. In addition, a power button, a volume adjustment button, etc. (not shown) are provided.

[0045] The control board 1550 is equipped with various microprocessors such as a CPU 1551, a GPU, and a DSP, various IC memories 1552 such as VRAM, RAM, and ROM, a wireless communication module 1553 for wireless communication with a mobile phone base station, a wireless communication base station, etc. connected to the network 9, an interface circuit 1557, etc. The interface circuit 1557 includes a circuit for receiving signals from the direction input key 1502 and the home key 1504, a driver circuit of the touch panel 1506, an output amplifier circuit for outputting an audio signal to the speaker 1510, an audio signal generation circuit for generating a signal of the sound collected by the microphone 1512, a circuit for inputting an image signal photographed by the camera 1520, a signal input / output circuit to the memory card reader 1542, etc.

[0046] Each element mounted on these control boards 1550 is electrically connected via a bus circuit or the like so that data can be read and written and signals can be transmitted and received. Note that part or all of the control board 1550 may be configured by an ASIC, an FPGA, or an SoC. Then, the control board 1550 stores a program and various data for realizing the functions of the terminal device in the IC memory 1552.

[0047] In this embodiment, the terminal device 1500 is configured to download a program and various setting data from the server system 1100, but it may be configured to read them from a storage medium such as a separately obtained memory card 1540. [Details] 1. Regarding the user management function The server system 1100 executes a process related to user registration (user registration process) and a process related to the management of data of registered users who have undergone the registration procedure and data of wearing users associated with the registered users (data management process) in order to realize the user management function.

[0048] In this embodiment, as shown in FIG. 3, one or more wearer user IDs can be associated with the registered user ID of the registered user. The registered user is a user who logs in with the registered user ID and performs online shopping for various items such as shoes. On the other hand, the wearer user is a user who wears the shoes purchased by the registered user. The wearer user may be the registered user himself / herself, a family member, or a friend. In this embodiment, for the sake of easy understanding, an example is shown in which the wearer user is the child of the registered user. By separately registering the child of the registered user as the wearer user, a wearer user ID is issued to the wearer user. User data (refer to the wearer user data 520 in FIG. 16) obtained for each wearer user in the data acquisition process described later is associated with and stored in each of the wearer user IDs. The user data includes attribute information such as the age and gender of the wearer user, measurement information of the wearer user measured for the wearing part of the item (shoes in this embodiment, the foot in this embodiment), and comfort variation information generated using the attribute information and measurement information of the wearer user. As will be described later, the comfort variation information is generated for each wearer user for each item (shoes sold in the online shopping service in this embodiment). 2. Regarding the online shopping function The server system 1100 performs a data acquisition process for acquiring user data related to the target user in order to implement the online shopping function. Further, when the registered user logs in, the server system 1100 causes the terminal device 1500 to display the product information of the item on the terminal device 1500. And, prior to the display of the product information, the server system 1100 executes an estimation process for estimating the purchase recommendation date for each of the wearer users associated with the registered user, and a recommendation control process for performing recommendation date presentation control based on the purchase recommendation date. 2-1. Regarding the data acquisition process In the data acquisition process, the server system 1100 acquires user data with the wearing user specified by the registered user in the terminal device 1500 as the target user. The registered user performs an operation of designating the wearing user as the target user, for example, when newly registering a wearing user or when wishing to measure measurement information related to any wearing user.

[0049] When the operation of designating the target user is detected, the server system 1100 first acquires the attribute information of the target user. This can be acquired by accepting input operations such as age and gender in the terminal device 1500.

[0050] Subsequently, the server system 1100 acquires the measurement information of the target user. The measurement information includes shape data of the wearing site (the foot in this embodiment) and growth change data of the wearing site. For example, it can be obtained by performing measurement using measurement means capable of measuring the size of the foot. To give an example, first, a predetermined mat with a large number of dots (markers) drawn for measurement is prepared, and the foot of the target user placed on the mat is photographed from multiple directions by the terminal device 1500. Then, from the photographed data, a 3D model of the foot is created based on the dots (markers) attached to the mat, and various data (shape data) related to the shape of the foot of the target user, such as the shape of the entire foot, the shape of the instep, the size of the foot, the width of the foot, and whether it is flatfoot or not, is measured. Note that another method may be used as long as the same data can be obtained. For example, the foot of the target user placed on a plane is photographed from multiple directions by the terminal device 1500, and photogrammetry processing based on the photographed data is performed to measure the same data. The measurement process may be executed by the terminal device 1500, or the photographed data may be acquired by the server system 1100 and the server system 1100 may execute it. This results in a configuration difference as to whether the terminal device 1500 or the server system 1100 is equipped with the measurement means. Also, the same data may be obtained by a method of manually inputting values such as the length of the foot of the target user into the terminal device 1500. In any case, ultimately, the server system 1100 acquires the measurement data (measurement result). Then, the server system 1100 predicts the growth change of the foot of the target user from the measurement result and the attribute information of the target user. For example, the size of the foot for each age (e.g., monthly age) after the measurement timing is predicted, and the predicted change in size for each monthly age is obtained as growth change data. The server system 1100 acquires the obtained shape data and growth change data as the measurement information of the target user.

[0051] Note that the growth change data may be configured to use the growth change data of the average foot size of same-sex children (average value of foot size for each month of age). Further, in advance, prepare the growth change data of children with a fast growth rate (average value of foot size for each month of age) and the growth change data of children with a slow growth rate (average value of foot size for each month of age), and use the data (average value) corresponding to the growth rate of the target user as the growth change data. Also, it may be configured to predict the growth change from the measurement result (i.e., the actual measurement value) by the measuring means in consideration of the exemplified average value. Alternatively, it may be possible to predict the growth change based on information about the target user input by the registered user (for example, attribute information such as age and gender, height, weight, etc.) or an image of the target user's body (here, the foot) taken (for example, an image of the foot taken at various angles).

[0052] If measurement information is acquired, the server system 1100 generates comfort degree variation information indicating the variation in comfort degree according to the passage of time when the target user wears the item for each predetermined item (for example, shoes sold in an online shopping service) based on the item information of the item, the attribute information of the target user, and the measurement information. Note that the attribute information and the measurement information of the target user are not limited to the configuration of using both, and either one may be used.

[0053] The item information is the item name of the item, the category of the item, size range, specification information such as material, dimensions, weight, etc., information on the evaluation of the item by the purchaser, and the like. When using the evaluation information to generate the comfort degree variation information, for example, extract and use the evaluation information of the item made by a registered user who has registered children with attribute information and measurement information similar to the target user as the wearing user to generate the comfort degree variation information. Specifically, when generating a graph of comfort degree for each size described later, when adjusting the shape of the parabola, the shape can be made steep or gentle using the evaluation information.

[0054] FIG. 4, FIG. 5, and FIG. 6 are diagrams showing examples of comfort level variation information generated for each of items (shoes) I1, I2, and I3, with the wearing user U11 (see FIG. 7) as the target user. In the present embodiment, for each time point within a predetermined target period (up to 14 months later in the example of FIG. 4 etc.) from the measurement timing related to the measurement information of the target user (i.e., the previous measurement timing when the previous measurement was performed for the wearing user U11), comfort level variation information is generated, which represents the comfort level at each time point as a value from, for example, "0 (very bad)" to "100 (very good)". Note that in FIG. 4 etc., for the generated comfort level variation information, the portion where the comfort level is 50 or more is extracted and shown.

[0055] Focusing on one item, in generating the comfort level variation information, for example, the server system 1100 performs the following processing for each size according to the size range of the item to be generated. That is, first, based on the measurement information of the target user (here, the wearing user U11), the time point (estimated optimal fit time point) that is considered to be the most size - appropriate when the target user wears the size is set. Subsequently, the comfort level at the estimated optimal fit time point is set to 100, and a parabola - shaped graph with the estimated optimal fit time point as the vertex is generated as the graph of the comfort level related to the size. At that time, using the item information, the shape of the parabola of the graph to be generated (such as whether the slope of the parabola is gentle or steep) is adjusted. By repeating the above processing for each size and generating a graph of the comfort level for each size, comfort level variation information is obtained.

[0056] For example, in the example of FIG. 4, as the comfort level variation information for item I1, a graph G1-1 of the comfort level when the wearing user U11 wears 12 cm, a graph G1-2 of the comfort level when the wearing user U11 wears 12.5 cm, a graph G1-3 of the comfort level when the wearing user U11 wears 13 cm, and a graph G1-4 of the comfort level when the wearing user U11 wears 13.5 cm are shown as examples. Similarly, in the example of FIG. 5, as the comfort level variation information for item I2, a graph G2-1 of the comfort level when the wearing user U11 wears 12 cm, a graph G2-2 of the comfort level when the wearing user U11 wears 12.5 cm, a graph G2-3 of the comfort level when the wearing user U11 wears 13 cm, and a graph G2-4 of the comfort level when the wearing user U11 wears 13.5 cm are shown as examples. In the example of FIG. 6, as the comfort level variation information for item I3, a graph G3-1 of the comfort level when the wearing user U11 wears 12 cm and a graph G3-2 of the comfort level when the wearing user U11 wears 13 cm are shown as examples.

[0057] Here, when comparing item I1 in FIG. 4 and item I2 in FIG. 5, even if they are of the same size, if item I2 is designed to be slightly smaller (for example, when a material that is difficult to stretch is used as the material for item I2), the period during which item I1 can be worn comfortably is shorter than that of item I2. Therefore, when generating a graph of the comfort level for each size, the server system 1100 makes an adjustment to make the shape of the parabola steep for items with a tight design (for example, item I1).

[0058] Conversely, when comparing items, even if they are of the same size, if one item is designed to be larger (for example, when a material that is easy to stretch is used as the material for one item), the period during which the item can be worn comfortably is longer than that of the other item. Therefore, when generating a graph of the comfort level for each size, the server system 1100 makes an adjustment to make the shape of the parabola gentle for items with a larger design.

[0059] In addition, when comparing items with each other, the increment of the size of one item may be larger than that of the other item. For example, the size of item I3 in FIG. 6 is in 1 cm increments, while the sizes of item I1 in FIG. 4 and item I2 in FIG. 5 are in 0.5 cm increments. Therefore, when generating a comfort graph for each size, the server system 1100 adjusts the shape of the parabola to be gentler for an item with a larger size increment compared to a smaller item.

[0060] Note that the measurement information and the comfort variation information are acquired each time measurement related to the measurement information is performed on the target user and updated to the latest information.

[0061] Also, the comfort variation information may be configured to be generated in consideration of the preferences of the target user regarding the wearing of the item (for example, liking larger sizes or liking slenderness). Specifically, for example, information on the wearing comfort evaluation of children whose preferences are similar to those of the target user may be extracted from the evaluation information included in the item information and used for generating the comfort variation information. Specifically, when generating a comfort graph for each size, when adjusting the shape of the parabola, the shape can be made steep or gentle using the evaluation information. 2-2. Estimation process In the estimation process, the server system 1100 estimates the recommended purchase date of the item for sizes larger than the wearing size based on the measurement information of the target user and the wearing size of the target user wearing the item. In the present embodiment, the server system 1100 estimates the recommended purchase date of each item using the comfort variation information generated for each item for the target user from the measurement information of the target user or the like. When a plurality of wearing users are associated with a registered user, the estimation is performed for each target user by sequentially setting each wearing user as the target user.

[0062] FIG. 7 is a diagram for explaining the outline of the estimation process. In FIG. 7, a registered user U1 and two wearing users U11 and U13 associated with the registered user U1 are shown. In the above-described data acquisition process, for the wearing user U11, comfort level variation information when the wearing user U11 wears the item is generated for each item (for example, refer to the comfort level variation information in FIGS. 4 to 6), and for the wearing user U13, comfort level variation information when the wearing user U13 wears the item is generated for each item. In the present embodiment, when the registered user U1 logs in, one of the wearing users (for example, the wearing user U11) is set as the first target user, and the other wearing user (for example, the wearing user U13) is set as the second target user. Then, first, each item is sequentially set as the estimation target item, and the following process is repeated for the first target user (here, the wearing user U11) to estimate the first purchase recommendation date for the wearing user U11 for each item.

[0063] That is, for example, when taking the case where the item I4 shown in FIG. 7 is the estimation target item as an example, the server system 1100 determines (A) the current wearing size of the wearing user U11 (the size that can be comfortably worn at the current time; hereinafter referred to as the "current size") for the estimation target item (here, the item I4). Further, the server system 1100 estimates (B) a size larger than the current size (for example, one size larger) as the first recommended size, and (C) estimates the comfortable period during which the wearing user U11 can comfortably wear the item I4 of the first recommended size as the first recommended size comfortable period. Then, the server system 1100 estimates (D) the first purchase recommendation date, which is the purchase recommendation date of the item I4 related to the wearing user U11, based on the first recommended size comfortable period. That is, the first purchase recommendation date is the purchase recommendation date of the first recommended size estimated as one size larger than the current size. In other words, the first recommended size corresponds to the wearing size of the wearing user U11 for which purchase is recommended on the first purchase recommendation date, and in the present embodiment, it is set as one size larger than the current size.

[0064] If the first purchase recommendation date is estimated for each item for the first target user, then, subsequently, the same process is repeated for the second target user (here, the wearing user U13), and for each item, the second purchase recommendation date for the wearing user U13 is estimated.

[0065] That is, for example, when taking the item I4 shown in FIG. 7 as the estimation target item, the server system 1100 determines (A) the current size of the wearing user U13 for the estimation target item (here, the item I4). Also, the server system 1100 estimates (B) a size one size larger than the current size as the second recommended size, and (C) estimates the comfortable period during which the wearing user U13 can comfortably wear the item I4 of the second recommended size as the second recommended size comfortable period. Then, the server system 1100 estimates (D) the second purchase recommendation date, which is the purchase recommendation date of the item I4 related to the wearing user U13, based on the second recommended size comfortable period. That is, the second purchase recommendation date is the purchase recommendation date of the second recommended size estimated as a size one size larger than the current size. In other words, the second recommended size corresponds to the wearing size of the wearing user U13 for which purchase is recommended on the second purchase recommendation date, and in this embodiment, it is a size one size larger than the current size.

[0066] Next, a specific example of the estimation process will be described by taking as an example the case of estimating the first purchase recommendation date for the item I1 for the wearing user U11 using the comfort level variation information in FIG. 4.

[0067] Here, as described above with reference to FIG. 4 and the like, the comfort level variation information is generated when measurement information related to the corresponding wearing user is acquired (at the time of measurement related to the measurement information), and indicates the comfort level at each time point within a predetermined period from the measurement timing (previous measurement timing). Therefore, in the estimation process, with the current time point as the reference timing, the part of the comfort level variation information after the reference timing is used for estimation. For example, immediately after measuring the wearing user U11, the time point T11 (previous measurement timing) when the elapsed period in FIG. 4 is 0 becomes the reference timing. On the other hand, when the login timing of the registered user is the time point T13 five months after the previous measurement timing, the time point T13 five months later becomes the reference timing.

[0068] For example, when the reference timing is T11, first, (A) by determining which size's comfort period of item I1 the reference timing T11 belongs to, the current size of item I1 that the wearing user U11 can comfortably wear at the current time is determined. In this embodiment, the comfort period is a period that satisfies a predetermined comfort level condition. The comfort level condition can be, for example, "the comfort level is 80 or more in the comfort level variation information of the item to be estimated", etc. In FIG. 4, the reference timing T11 belongs to the comfort period (from the reference timing T11 to four months later) of the size (12 cm) corresponding to the graph G1-1. Therefore, the current size is determined as the size (12 cm).

[0069] Here, an example of determining the current size from the comfort level variation information has been described. However, for example, when item I1 has been purchased in the past and the wearing user U11 is actually wearing item I1, etc., the purchased size can also be used as the wearing size.

[0070] Subsequently, (B) since the size one larger than the current size is the size (12.5 cm) corresponding to the graph G1-2, the first recommended size is estimated as the size (12.5 cm).

[0071] Subsequently, looking at graph (C) G1-2, since the comfort level is 80 or higher from 3.5 months to 7.5 months after the reference timing T11, this period is estimated as the first recommended size comfort period.

[0072] Subsequently, (D) based on the first recommended size comfort period, estimate the first recommended purchase date. For example, the starting point of the first recommended size comfort period (the point 3.5 months after the reference timing T11) T15 can be set as the first estimated purchase date. Also, after passing the intersection point T16 between graph G1-1 and graph G1-2, the comfort level of the first recommended size becomes higher than that of the current size. This intersection point T16 may also be set as the first recommended purchase date. Alternatively, a point before the starting point of the first recommended size comfort period may be set as the first recommended purchase date. How far before can be set as appropriate. For example, it may be one month before or ten days before. In the case of one month before, the point one month back from the starting point (the point 2.5 months after the reference timing T11) is estimated as the first recommended purchase date.

[0073] Next, when the reference timing is T13, first, (A) since the reference timing T13 belongs to the comfort period of the size (12.5 cm) corresponding to graph G1-2, determine the current size as this size (12.5 cm).

[0074] Subsequently, (B) since the size one larger than the current size is the size (13 cm) corresponding to graph G1-3, estimate the first recommended size as this size (13 cm).

[0075] Subsequently, (C) looking at graph G1-3, since the comfort level is 80 or higher from 2 months after the reference timing T13 (7 months after the previous measurement timing) to 6 months after (11 months after the previous measurement timing), this period is estimated as the first recommended size comfort period.

[0076] Subsequently, based on (D) the first recommended size comfort period, estimate the first purchase recommendation date. For example, the start date of the first recommended size comfort period (the point two months after the reference timing T13) may be estimated as the first purchase recommendation date, or the point obtained by going back a predetermined number of days from the start date may be used as the purchase recommendation date.

[0077] Note that when referring to the comfort level variation information in determining the current size in (A), there may be cases where the reference timing does not belong to the comfort period of any size. For example, in FIG. 5, the case where the point T2 with an elapsed period of 0 is the reference timing corresponds to this situation. FIG. 5 shows an example where the size expansion of item I2 is from 12 cm, and at time point T2, 12 cm of item I2 is still too large for the wearing user U11 to wear. In such a case, in (A), the current size may not be determined, and in (B), the size at which the wearing user U11 can first wear (the smallest size; here, 12 cm) may be set as the first recommended size, etc.

[0078] Also, the threshold value of the comfort level for the comfort level condition is not limited to the exemplified 80, and may be configured to be set for each registered user. When a registered user hopes to purchase an item that can be worn for as long as possible even if there is a slight difference between the feet of the target user and the size of the item, the threshold value of the comfort level may be set to 70, etc. Also, when the registered user emphasizes ease of movement when wearing, etc., it is also possible to set the threshold value of the comfort level high, for example, to 90 or 95, etc.

[0079] Settings for each registered user, such as whether to prioritize being able to wear for as long as possible or to prioritize ease of movement even if the frequency of replacement increases, can be realized, for example, by accepting input from the registered user in a questionnaire in advance.

[0080] Also, the threshold value of the comfort level for the comfort level condition may be configured to be set according to the category of the item. For example, when the category of item I1 is "sports shoes", the threshold value of the comfort level may be set to 95 while emphasizing ease of movement when wearing.

[0081] Also, the comfort threshold for the comfort condition may be set according to the items worn by the target user in the past. For example, when an item is replaced (size up) when the comfort level is less than 90, the comfort threshold may be set to 90. By obtaining the date and time when the item was replaced from the purchase history data 535 (see FIG. 16) of the registered user, the comfort threshold at the time of replacement can be determined.

[0082] Also, the setting of the comfort threshold (that is, the setting of the comfort condition) can be configured to be performed by accepting an input operation of the threshold by the registered user. 2-3. Recommended control processing In the recommended control processing, the server system 1100 performs recommended date presentation control based on the estimated purchase recommendation date estimated in the estimation processing as display control to be displayed on the terminal device 1500. In the present embodiment, the server system 1100 displays the product information of the item on the terminal device 1500 of the logged-in registered user in response to an item browsing operation or the like by the registered user. Then, the server system 1100 performs recommended date presentation control by displaying a display body or identifier indicating the estimated purchase recommendation date for the item for the wearing user. Hereinafter, assuming that the registered user U in FIG. 7 performs a browsing operation on the item I4, examples (Example 1 to Example 5) of the recommended date presentation control will be described. (Example 1) FIG. 8 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. As shown in FIG. 8, the recommended display screen W5 of this example includes a first display area W51 for a first target user (for example, the wearing user U11) and a second display area W53 for a second target user (for example, the wearing user U13).

[0083] First, in the first display area W51, a first predicted change graph G51 showing a predicted change of the measurement information based on the measurement information of the first target user, the wearing user U11, and a first indicator O511 indicating a point on the first predicted change graph G51 corresponding to the first purchase recommendation date are displayed.

[0084] The first predicted change graph G51 shows the predicted change in the foot size of the wearing user U11 after the previous measurement timing, with the horizontal axis representing age (monthly age) and the vertical axis representing foot size. In this embodiment, the server system 1100 graphs the growth change data of the wearing user U11 (growth change data 529 in FIG. 16) generated as measurement information and displays it in the first display area W51 of the recommended display screen W5 as the first predicted change graph G51. Then, on the first predicted change graph G51, the server system 1100 displays a first indicator O511 indicating the first purchase recommendation date of the item I4 related to the wearing user U11, and also displays an indicator O513 indicating the current time point.

[0085] In addition, the first display area W51 may be configured to display, among other things, the current size, first recommended size, and first recommended size comfort period of the item I4 related to the wearing user U11. In that case, for the first recommended size comfort period, for example, on the first predicted change graph G51, the graph portion of the corresponding period may be displayed with a different line type or color from other graph portions. For the current size and first recommended size, for example, display columns for them may be provided within the first display area W51 for display.

[0086] Next, in the second display area W53, a second predicted change graph G53 showing the predicted change in the measurement information based on the measurement information of the wearing user U13, who is the second target user, and a second indicator O531 indicating the point on the second predicted change graph G53 corresponding to the second purchase recommendation date are displayed.

[0087] The second predicted change graph G53 shows the predicted change in the foot size of the wearing user U13 after the previous measurement timing, with the horizontal axis representing age (in months) and the vertical axis representing the foot size. In this embodiment, the server system 1100 graphs the growth change data of the wearing user U13 generated as measurement information and displays it in the second display area W53 of the recommended display screen W5 as the second predicted change graph G53. Then, on the second predicted change graph G53, the server system 1100 displays a second indicator O531 indicating the second purchase recommendation date of the item I4 related to the wearing user U13, and also displays an indicator O533 indicating the current time point.

[0088] Note that in the second display area W53 as well, similar to the first display area W51, it may be configured to display the current size, the second recommended size, and the comfortable period of the second recommended size of the item I4 related to the wearing user U13.

[0089] Also, in the recommended display screen (here it is the recommended display screen W5), it is also possible to configure to display the next measurement date of the first target user (here it is the wearing user U11) and the next measurement date of the second target user (here it is the wearing user U13). For example, the scheduled next measurement date of the wearing user U11 may be displayed in the first display area W51, and the scheduled next measurement date of the wearing user U13 may be displayed in the second display area W53.

[0090] If the measurement related to the measurement information for the wearing user has not been performed for a long time and the measurement information becomes old, the comfort graph shown by the comfort fluctuation information will not match the actual foot size of the wearing user, and the estimation accuracy of the first recommended size and the second recommended size estimated based on the comfort fluctuation information will increase the risk of decreasing. In order to maintain the estimation accuracy, regular measurement for each wearing user is required. The scheduled next measurement date is the scheduled timing of the next measurement set for each wearing user to maintain the estimation accuracy. For example, the scheduled next measurement date can be set as the timing after a predetermined period has elapsed since the previous measurement timing of the wearing user. The predetermined period can be appropriately set, such as 3 months or 6 months.

[0091] Specifically, for the next measurement scheduled date of the wearing user U11, for example, in the first display area W51, it is displayed as an indicator showing a point on the first predicted change graph G51 corresponding to the next measurement scheduled date. Similarly, for the next measurement scheduled date of the wearing user U13, for example, in the second display area W53, it is displayed as an indicator showing a point on the second predicted change graph G53 corresponding to the next measurement scheduled date. (Example 2) FIG. 9 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. In the recommended display screen W6 of this example, the first predicted change graph G51 related to the first target user (wearing user U11) and the second predicted change graph G53 related to the second target user (wearing user U13) are displayed with the horizontal axis as a common axis.

[0092] That is, in FIG. 9, in the upper part (1), the horizontal axis is scrolled to the age in months of the wearing user U11, and a state is shown in which the first predicted change graph G51 and the first indicator O511 etc. on the first predicted change graph G51 are displayed. Then, when the horizontal axis is scrolled from the display state shown in (1) of FIG. 9 to the age in months of the wearing user U13, as shown in (2) of FIG. 9 in the lower part, the second predicted change graph G53 and the second indicator O531 etc. are displayed.

[0093] In addition, in the recommended display screen W6 of this example, in the vicinity of the display of the first predicted change graph G51, etc. ((1) of FIG. 9), it may be configured to display the current size, the first recommended size, and the comfortable period of the first recommended size of the item I4 related to the wearing user U11. In addition, the current size, the second recommended size, the comfortable period of the second recommended size, and the second recommended purchase date of the item I4 related to the wearing user U13 may be displayed. Even without scrolling to display the content of (2) of FIG. 9, it is possible to grasp the information related to the wearing user U13 together. Similarly, in the vicinity of the display of the second predicted change graph G53, etc. ((2) of FIG. 9), it may be configured to display the current size, the second recommended size, and the comfortable period of the second recommended size of the item I4 related to the wearing user U13. In addition, the current size, the first recommended size, the comfortable period of the first recommended size, and the first recommended purchase date of the item I4 related to the wearing user U11 may be displayed. Even without scrolling to display the content of (1) of FIG. 9, it is possible to grasp the information related to the wearing user U11 together.

[0094] Also, when displaying the information related to the wearing user U11 and the information related to the wearing user U13, it is desirable to display the two pieces of information in a distinguishable manner. For example, they may be displayed in different colors, or in different font sizes. In addition, the identification display may be performed by using different backgrounds for their respective display columns or by changing the shape of the frames of the display columns. (Example 3) FIG. 10 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. As shown in FIG. 10, in the recommended display screen W7 of this example, the first prediction change graph G51 and the second prediction change graph G53 are displayed with the horizontal axis as a composite graph of two axes. In the example of FIG. 10, the first horizontal axis (upper side) is the age (monthly age) of the wearing user U11, and the first prediction change graph G51 and the first indicator O511 on the first prediction change graph G51 are displayed with respect to the first horizontal axis. Further, the second horizontal axis (lower side) is the age (monthly age) of the wearing user U13, and the second prediction change graph and the second indicator O531 on the second prediction change graph G53 are displayed with respect to the second horizontal axis. The first prediction change graph G51 with respect to the first horizontal axis is shown by a one-dot chain line, and the second prediction change graph G53 with respect to the second horizontal axis is shown by a two-dot chain line. The vertical axis (foot size) is common.

[0095] Note that also in the recommended display screen W7 of this example, the current size, the first recommended size, and the first recommended size comfort period of the item I4 related to the wearing user U11 may be displayed, or the current size, the second recommended size, and the second recommended size comfort period of the item I4 related to the wearing user U13 may be displayed. (Example 4) FIG. 11 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. As shown in FIG. 11, the recommended display screen W8 of this example includes a first display area W81 for the first target user (for example, the wearing user U11) and a second display area W83 for the second target user (for example, the wearing user U13).

[0096] In the first display area W81, with the horizontal axis being the age (monthly age) and the vertical axis being the foot size, the first prediction change graph G51 related to the wearing user U11 who is the first target user and the first indicator O511 indicating the purchase recommended date (the first purchase recommended date) of the item I4 on the first prediction change graph G51 are displayed. Further, in the second display area W83, for example, the purchase recommended date (the second purchase recommended date) D8 estimated for the wearing user U13 for the same item I4 is displayed.

[0097] In the recommended display screen W8 of this example, it is also possible to adopt a configuration in which the current size, the first recommended size, and the comfortable period of the first recommended size of the item I4 related to the wearing user U11 are displayed in the first display area W81. Further, in the second display area W83, the current size, the second recommended size, and the comfortable period of the second recommended size of the item I4 related to the wearing user U13 may be displayed.

[0098] Also, it is possible to adopt a configuration in which the display target of the first display area W81 (the wearing user U11 in the example of FIG. 11) and the display target of the second display area W83 (the wearing user U13 in the example of FIG. 11) are interchangeably displayed. Specifically, for example, a switching button may be arranged within the recommended display screen W8 to receive an operation for switching the display by the user. Then, in response to a selection operation of the switching button on the terminal device 1500, the display of the first display area W81 is changed to the display of the second prediction change graph related to the wearing user U21 and the second indicator indicating the purchase recommendation date (second purchase recommendation date) of the item I4 on the second prediction change graph, and the display of the second display area W83 is changed to the display of the purchase recommendation date (first purchase recommendation date) of the item I4 related to the wearing user U11.

[0099] Also, the configuration is not limited to always displaying the second display area W83, and a configuration in which it is displayed when a predetermined condition is satisfied is also possible. For example, the second display area W83 may be displayed when the purchase recommendation date (second purchase recommendation date) estimated for the wearing user U13 is within a predetermined period from the purchase recommendation date (first purchase recommendation date) estimated for the wearing user U11. Conversely, the second display area W83 may be displayed when the purchase recommendation date (second purchase recommendation date) estimated for the wearing user U13 is not within a predetermined period from the purchase recommendation date (first purchase recommendation date) estimated for the wearing user U11. The period length of the predetermined period may be set as appropriate. (Example 5) FIG. 12 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. As shown in FIG. 12, the recommended display screen W9 of this example includes a first display area W91 for a first target user (for example, the wearing user U11), and a second display area W93 for a second target user (for example, the wearing user U13), and is an example of a screen in which the first recommended size comfort period D916 related to the wearing user U11 and the second recommended size comfort period D936 related to the wearing user U13 are simultaneously displayed.

[0100] Specifically, in the first display area W91, the current size D911 of the wearing user U11, the first purchase recommendation date D913, and the first recommended size (the wearing size of the wearing user U11 recommended for purchase on the first purchase recommendation date) D915 are displayed. And, the current size D911 is displayed with the comfort period D912 during which the wearing user U11 can comfortably wear the current size D911 associated therewith, and the first recommended size D915 is displayed with the first recommended size comfort period D916 during which the wearing user U11 can comfortably wear the first recommended size D915 associated therewith.

[0101] Also, in the second display area W93, the current size D931 of the wearing user U13, the first purchase recommendation date D933, and the second recommended size (the wearing size of the wearing user U13 recommended for purchase on the second purchase recommendation date) D935 are displayed. And, the current size D931 is displayed with the comfort period D932 during which the wearing user U13 can comfortably wear the current size D931 associated therewith, and the second recommended size D935 is displayed with the second recommended size comfort period D936 during which the wearing user U13 can comfortably wear the second recommended size D935 associated therewith.

[0102] Next, taking the first wearing user associated with a certain registered user as the target user as "Taro" and the second wearing user as "Hanako", examples of the recommended display screen (Examples 6 and 7) when the registered user logs in will be described. (Example 6) FIG. 13 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. As shown in FIG. 13, on the recommended display screen W10 of this example, on a predetermined calendar display, by displaying a mark (identifier) at the location of the corresponding date, the purchase recommended date (the first purchase recommended date; October 11 in FIG. 13) of the item I4 related to the wearing user "Taro" who is the first target user, the purchase recommended date (the second purchase recommended date; October 31 in FIG. 13) of the item I4 related to the wearing user "Hanako" who is the second target user, and the purchase recommended date (the second purchase recommended date; October 10 in FIG. 13) of the item I5 related to the second target user "Hanako" are displayed.

[0103] Which item's purchase recommended date is to be displayed on the calendar may be set as appropriate. For example, among the shoes sold by the online shopping service, it may be possible to display the recommended purchase date for those with stock of the first recommended size. Also, when there is an item that has been purchased in the past, the purchase recommended date for that item may be displayed. Alternatively, when the registered user has registered a category of items the wearing user likes (such as "sports shoes", etc.), it is also possible to display the items in that category.

[0104] Note that the calendar display in FIG. 13 may be such that a calendar display menu is provided in the recommended display screen and the like illustrated in Examples 1 to 5, and it is displayed when the menu is selected by the registered user. (Example 7) FIG. 14 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 by the recommended date presentation control of this example. In this example, the timing when the item is put into the cart is regarded as the purchase timing, and in FIG. 14, the recommended display screen W11 is illustrated as the screen of the shopping cart. More specifically, on the recommended display screen W11, product information such as size and price is displayed for the item I4 for the wearing user "Taro" put into the cart by the registered user, and the final confirmation of the purchase is urged.

[0105] In the recommended display screen W11 of this example, for other wearing users (in this example, "Hanako"), the recommended purchase date of a predetermined item (in W11, item I4, item I5, etc.) and the recommended size related to the recommended purchase date are displayed. In addition, a purchase button (a button for adding to the cart) for each item may be displayed. Which item to display the recommended purchase date, etc. for can be selected, for example, based on the timing of purchase. Specifically, it may be possible to select an item whose recommended purchase date is within a period until a predetermined number of days have elapsed from the date of the day (for example, within 1 month or within 15 days, etc.). Also, if there is no item whose recommended purchase date is within this period, or if there are few such items, the current size of other wearing users (here "Hanako") when wearing the item may also be displayed. In addition, it may be configured to be appropriately set in the same manner as in Example 6. [Functional Configuration] 1. Server System FIG. 15 is a block diagram showing a functional configuration example of the server system 1100. As shown in FIG. 15, the server system 1100 of this embodiment includes an operation input unit 110s, a display unit 120s, a communication unit 130s, a server processing unit 200s, and a server storage unit 500s.

[0106] The operation input unit 110s is realized by an input device such as a keyboard, a mouse, a touch panel, etc., and outputs an operation signal corresponding to the operation input to the server processing unit 200s. In FIG. 1, the keyboard 1106 and the touch panel 1108 correspond to this.

[0107] The display unit 120s is realized by a display device such as an LCD (Liquid Crystal Display) or a touch panel, and performs various displays according to the display signal from the server processing unit 200s. In FIG. 1, the touch panel 1108 corresponds to this.

[0108] The communication units 130s are implemented by wired or wireless communication devices and are connected to the network 9 to communicate with external devices (e.g., the terminal device 1500). For example, they can be realized by a wireless communication device, a modem, a TA (terminal adapter), a jack of a wired communication cable, a control circuit, etc. In FIG. 1, the communication device 1153 corresponds to this.

[0109] The server processing unit 200s can be realized by a processor such as an arithmetic circuit like a CPU, GPU, ASIC, FPGA, etc., and electronic components such as an IC memory, and performs input / output control of data with each part of the device including the operation input unit 110s and the server storage unit 500s. Then, it performs various arithmetic processes based on a predetermined program, data, an operation input signal from the operation input unit 110s, data received from the terminal device 1500, etc., and comprehensively controls the operation of the server system 1100. In FIG. 1, the control board 1150 and its CPU 1151 correspond to this.

[0110] Also, the server processing unit 200s includes a user management unit 211, an online shopping function unit 213, an acquisition unit 215, an estimation unit 217, and a recommendation control unit 219.

[0111] The user management unit 211 executes user registration processing and data management processing to manage data associated with the registered user ID. In this embodiment, the user management unit 211 manages, for each registered user, the association of the wearing user, user data such as attribute information, measurement information, and comfort level change information that are acquired at any time about the wearing user, etc. Therefore, the user management unit 211 can also be called the user data management unit.

[0112] The online shopping function unit 213 performs processing related to the provision of an online shopping service. Registered users can use the online shopping function realized by the processing here to purchase items that the user can wear (in this embodiment, shoes worn by the wearing user). In this embodiment, when a registered user logs in, the online shopping function unit 213 causes the terminal device 1500 to display item product information according to the browsing operation, etc. of the registered user.

[0113] The acquisition unit 215 is a function unit that executes data acquisition processing. Taking the wearing user associated with the registered user as the target user, it acquires the user data of the target user. When acquiring user data, measurement of the wearing part of the item (shoes in this embodiment) (the foot in this embodiment) is performed by using separate measurement means or the like. Then, based on the measurement results by the measurement means, the acquisition unit 215 performs acquisition of measurement information including shape data and growth change data of the wearing part (the foot in this embodiment), generation of comfort level fluctuation information, and the like.

[0114] The estimation unit 217 is a function unit that executes estimation processing. In this embodiment, when a registered user logs in, taking each of the wearing users associated with the registered user as the target user, it estimates the recommended purchase date for each item for each target user.

[0115] The recommendation control unit 219 is a function unit that executes recommendation control processing. In this embodiment, the online shopping function unit 213 causes the terminal device 1500 of the logged-in registered user to display item product information. The recommendation control unit 219 performs control to, for example, display the recommended purchase date for each target user of the item on the terminal device 1500 and present it to the registered user.

[0116] In the server storage unit 500s, programs for operating the server system 1100 and realizing various functions provided in the server system 1100, data used during the execution of these programs, etc. are stored in advance, or temporarily stored each time processing is performed. For example, it can be realized by an IC memory such as a RAM or ROM, a magnetic disk such as a hard disk, an optical disk such as a CD-ROM or DVD, etc. In FIG. 1, the IC memory 1152 and the storage 1140 correspond to this.

[0117] Further, in the server storage unit 500s, a server program 501, user management data 510, and item information 540 are stored.

[0118] The server program 501 is a program for causing the server processing unit 200s to function as a user management unit 211, an online shopping function unit 213, an acquisition unit 215, an estimation unit 217, and a recommendation control unit 219.

[0119] The user management data 510 is prepared for each registered user and stores various management data related to the provision of the online shopping service in association with the registered user ID. Specifically, as shown in FIG. 16, one user management data 510 includes the registered user ID 511 of the registered user, the registered user name 513, the wearing user data 520, and the purchase history data 535 of items such as shoes purchased by the registered user.

[0120] The wearing user data 520 is prepared for each wearing user associated with the registered user. In one wearing user data 520, in association with the wearing user ID 521, a wearing user name 522, attribute information 523, measurement information 525, the measurement date and time (previous measurement timing) 531 related to the measurement information 525, and comfort level variation information 533 for each item (shoes in this embodiment) (see FIGS. 4 to 6) are set. The measurement information 525 includes shape data 527 of the wearing part (the foot in this embodiment) and growth change data 529 of the wearing part.

[0121] The item information 540 is prepared for each item and stores various data related to the item. For example, in addition to various specification information and evaluation information used to generate the comfort variation information 533 for the item, it includes information such as price, product image, and availability of stock, which is information to be displayed on the terminal device 1500 as product information. 2. Terminal Device FIG. 17 is a block diagram showing a functional configuration example of the terminal device 1500. As shown in FIG. 17, the terminal device 1500 includes an operation input unit 110, a display unit 120, a communication unit 130, a terminal processing unit 200, and a terminal storage unit 500.

[0122] The operation input unit 110 outputs an operation input signal corresponding to various operation inputs made by the user to the terminal processing unit 200. For example, it can be realized by a keyboard, a mouse, a push switch, a joystick, a touch pad, a trackball, an acceleration sensor, a gyro, etc. In FIG. 2, the direction input keys 1502, the home key 1504, and the touch panel 1506 correspond to this.

[0123] The display unit 120 is realized by a display device such as an LCD (Liquid Crystal Display) or a touch panel, and performs various displays according to the display signal from the terminal processing unit 200. In FIG. 2, the touch panel 1506 corresponds to this.

[0124] The communication unit 130 is realized by a wired or wireless communication device, connects to the network 9, and communicates with an external device (for example, the server system 1100). It is realized by a wireless communication device, a modem, a TA, a jack of a wired communication cable, a control circuit, etc. In FIG. 2, the wireless communication module 1553 corresponds to this.

[0125] The terminal processing unit 200 can be realized by a processor such as an arithmetic circuit like a CPU, GPU, ASIC, FPGA, etc., and electronic components such as an IC memory, and performs input / output control of data with each part of the device including the operation input unit 110 and the terminal storage unit 500. Then, the terminal processing unit 200 performs various arithmetic processes based on a predetermined program, data, an operation input signal from the operation input unit 110, data received from the server system 1100, etc., and integrally controls the operation of the terminal device 1500. In FIG. 2, the control board 1550 and its CPU 1551 correspond to this.

[0126] Also, the terminal processing unit 200 includes a client control unit 260. The client control unit 260 performs various controls to make the terminal device 1500 function as a MMIF (man-machine interface). The client control unit 260 includes an operation signal transmission control unit 261 and a display control unit 263.

[0127] The operation signal transmission control unit 261 performs processing for transmitting various data and request information to the server system 1100 in response to an operation input to the operation input unit 110.

[0128] The display control unit 263 performs control for causing the display unit 120 to display a recommended display screen or the like described with reference to FIGS. 8 to 14 based on the data received from the server system 1100.

[0129] In the terminal storage unit 500, programs for operating the terminal device 1500 and realizing the functions of the terminal device 1500, data used during the execution of this program, etc. are stored in advance, or temporarily stored each time processing is performed. For example, it can be realized by an IC memory such as a RAM or ROM, a magnetic disk such as a hard disk, an optical disk such as a CD-ROM or DVD, etc. In the example of FIG. 2, the IC memory 1552 mounted on the control board 1550 corresponds to this.

[0130] In addition, the terminal storage unit 500 stores a client program 502 (application program) for causing the terminal device 1500 to function as the client control unit 260. [Flow of processing] FIG. 18 is a flowchart showing the flow of processing in the server system 1100. The processing described here is realized by the server processing unit 200s reading and executing the server program 501.

[0131] In the present embodiment, the server processing unit 200s receives an operation instruction to acquire measurement information on the terminal device 1500 of the logged-in registered user. When the operation in the terminal device 1500 is detected (step S1: YES), the acquisition unit 215 executes data acquisition processing and acquires various data including measurement information for the target user (step S3). Based on the acquired data, the acquisition unit 215 sets and updates the attribute information 523, measurement information 525 (shape data 527 and growth change data 529 of the worn part), and comfort level fluctuation information 533 of the wearing user data 520 (see FIG. 16) related to the target user.

[0132] When the registered user logs in, the estimation unit 217 executes estimation processing, and sequentially sets the wearing users associated with the registered user as the target users, and estimates the purchase recommendation date for each item for each target user (step S5).

[0133] In addition, when the online shopping function unit 213 detects a browsing operation of product information by a registered user (step S7: YES), it causes the terminal device 1500 to display the product information of the corresponding item (step S9). Then, the recommendation control unit 219 executes a recommendation control process, and causes the terminal device 1500 to display the purchase recommendation date estimated for each target user in step S5 for the item, thereby performing recommendation date presentation control (step S11). For example, as described with reference to FIG. 8 and the like, the recommendation control unit 219 displays, on the terminal device 1500 of the registered user, a first prediction change graph showing a predicted change of the measurement information based on the measurement information of the first target user and a first indicator showing a point on the first prediction change graph corresponding to the first purchase recommendation date, and a second prediction change graph showing a predicted change of the measurement information based on the measurement information of the second target user and a second indicator showing a point on the second prediction change graph corresponding to the second purchase recommendation date, thereby performing recommendation date presentation control.

[0134] Then, an end determination is made in step S13, and until it is determined that the process ends (step S13: NO), the process returns to step S1 and the above-described process is repeated.

[0135] As described above, according to the present embodiment, when a registered user logs in, for each wearing user associated with the registered user, a purchase recommendation date for a size larger than the wearing size of the wearing user is estimated, and the estimated purchase recommendation date for each wearing user is displayed on the terminal device 1500 and presented to the registered user. According to this, it is possible to present information indicating the purchase recommendation date with a size larger than the wearing size of the wearing user who wears the item as the first recommended size.

[0136] Also, at the time of presentation, for example, a predicted change graph obtained by graphing the growth change data of each wearing user can be displayed on the terminal device 1500 of the registered user, and a point corresponding to the recommended purchase date can be indicated on the predicted change graph. For example, when two wearing users are associated with the registered user, as described with reference to FIG. 8 and the like, a first predicted change graph G51 related to the wearing user U11 who is the first target user and a first indicator O511 indicating the recommended purchase date (first recommended purchase date) of the item I4, and a second predicted change graph G53 related to the wearing user U13 who is the second target user and a second indicator O531 indicating the recommended purchase date (second recommended purchase date) of the item I4 can be displayed on the terminal device 1500.

[0137] Note that the applicable form of the present invention is not limited to the above-described embodiment, and components can be added, omitted, or changed as appropriate. [Modification Example 1] For example, in the above embodiment, the recommended purchase date (first recommended purchase date or second recommended purchase date) is estimated with a size one size larger than the current size as the recommended size (first recommended size or second recommended size). On the other hand, if an item of the recommended size is not purchased even after the recommended purchase date already presented to the registered user has passed, the recommended size may be kept as it is without being changed until the comfort level reaches 100 for the recommended size, and the recommended purchase date may be set as the day of item viewing.

[0138] The case where the wearing user U11 is the first target user will be described with reference to the example of FIG. 4. For example, when the reference timing is T11, as described in the above embodiment, the current size is estimated as the size (12 cm) corresponding to the graph G1-1, and the first recommended size is estimated as the size (12.5 cm) corresponding to the graph G1-2. The start time point T15 of, for example, the first recommended size comfort period related to the first recommended size (12.5 cm) is set as the first recommended purchase date, and is presented to the registered user by displaying the recommended display screen related to the item I1 in FIG. 8 and the like.

[0139] After the presentation, when the registered user views item I1 at a point in time (e.g., time point T17) after the reference timing has passed T15, the process branches depending on whether the item I1 of the previously presented first recommended size (12.5 cm) has been purchased by the registered user. That is, if the item I1 of the previously presented first recommended size (12.5 cm) has been purchased, with the time point T17 as the reference timing, in the same manner as in the above embodiment, the current size is estimated to be the size corresponding to graph G1-2 (12.5 cm), and the first recommended size is estimated to be the size corresponding to graph G1-3 (13 cm), and the first purchase recommendation date is estimated based on the start date of the first recommended size comfort period for the first recommended size (13 cm). On the other hand, if the item I1 of the previously presented first recommended size (12.5 cm) has not been purchased, until the comfort level reaches 100 for the first recommended size (12.5 cm), the first recommended size presented this time remains the previously presented first recommended size (12.5 cm), and the first purchase recommendation date is set as the day of viewing. Then, at a point in time (e.g., time point T18) after passing the time point when the comfort level reaches 100 without the item I1 of the previously presented first recommended size (12.5 cm) being purchased, with the time point T18 as the reference timing, the current size (12.5 cm) and the first recommended size (13 cm) are estimated in the same manner as in the above embodiment, and the first purchase recommendation date is estimated based on the start date of the first recommended size comfort period for the first recommended size (13 cm). [Modification Example 2] In the above-described embodiment, an example was described in which, for each wearing user associated with a registered user, comfort level variation information 533 (see FIGS. 4 to 6) is set for each item (shoes sold in an online shopping service). On the other hand, for each wearing user, comfort level variation information may be generated for a specific one item, and the generated comfort level variation information may be used as the comfort level variation information related to the wearing user. In that case, when there is a browsing operation of an item, the first recommended size and the first comfortable period of the item, and the second recommended size and the second comfortable period are estimated using the comfort level variation information related to the wearing user. Which item's comfort level variation information is generated can be determined, for example, by separately accepting a registration operation of an item that the wearing user likes to wear. [Modification Example 3] Also, for each of the first target user and the second target user, a purchase recommendation date (hereinafter referred to as "sub-purchase recommendation date") based on the sale period and the coupon grant date may be separately set and presented. That is, when a sale is scheduled to be held or a coupon is to be granted within a predetermined period before and after the first purchase recommendation date (for example, a period of one month before and after the first purchase recommendation date), those scheduled dates are set as the sub-purchase recommendation dates of the first purchase recommendation date. Similarly, for the second purchase recommendation date, a sub-purchase recommendation date is set.

[0140] FIG. 19 is a diagram showing an example of a recommended display screen when the sub-purchase recommendation date is displayed on the recommended display screen W5 of FIG. 8. In FIG. 19, the same reference numerals as those in FIG. 8 are assigned to the same display elements as those in FIG. 8. As shown in FIG. 19, in the first display area W51 for the first target user (for example, the wearing user U11) of the recommended display screen of this example, an indicator O512 indicating a point on the first predicted change graph G51 corresponding to the sub-recommended purchase date of the first purchase recommendation date is displayed. Similarly, in the second display area W53 for the second target user (for example, the wearing user U13), an indicator O532 indicating a point on the second predicted change graph G53 corresponding to the sub-recommended purchase date of the second purchase recommendation date is displayed. This makes it possible to consider the timing of purchasing an item in consideration of the timing of a sale or coupon grant. [Modification Example 4] Also, regarding sales, coupon grants, etc., it may be configured to display the scheduled dates after the next on the calendar as exemplified by the recommended display screen W10 in FIG. 13. This can be achieved by displaying a unique mark for each scheduled date. According to this, it becomes possible to grasp the scheduled dates of sales, coupon grants, etc. together with the recommended purchase dates (the first recommended purchase date and the second recommended purchase date). Also, the display of various scheduled dates may be configured to be performed when a predetermined condition is satisfied. For example, in the case of a user who frequently purchases items during the sales period or a user who frequently uses coupons, various scheduled dates may be displayed. Conversely, in the case of a user who purchases items regardless of sales or a user who does not use coupons, various scheduled dates may be displayed as a privilege.

Explanation of Signs

[0141] 1000…Online shopping system 1100…Server system 110s…Operation input unit 120s…Display unit 130s…Communication unit 200s…Server processing unit 211…User management unit 213…Online shopping function unit 215…Acquisition unit 217…Estimation unit 219…Recommendation control unit 500s…Server storage unit 501…Server program 510…User management data 511…Registered user ID 520…Wearing user data 521…Wearing user ID 523…Attribute information 525…Measurement information 527…Shape data 529…Growth change data 531…Measurement date and time 533…Comfort level fluctuation information 535…Purchase history data 540…Item information 1500…User terminal 110…Operation input unit 120…Display unit 130…Communication unit 200…Terminal processing unit 260…Client control unit 261…Operation signal transmission control unit 263…Display control unit 500…Terminal memory unit 502…Client program 9…Network

Claims

1. A computer system that performs control to display on a terminal device recommended information on an item wearable by a user, an estimation unit that estimates a first purchase recommendation date, which is a purchase recommendation date of the item related to a first recommended size larger than the wearing size, using measurement information of a first target user related to a wearing part where the item is worn and the wearing size of the first target user who wears the item; a recommendation control unit that executes recommendation date presentation control based on the first purchase recommendation date as display control to be displayed on the terminal device; A computer system comprising:

2. The estimation unit estimates a first recommended size comfort period in which the first recommended size can be comfortably worn by the first target user based on the measurement information and the wearing size of the first target user, and estimates the first purchase recommendation date based on the first recommended size comfort period. The computer system according to claim 1.

3. The estimation unit estimates a second purchase recommendation date, which is a purchase recommendation date of the item related to a second recommended size larger than the wearing size, using measurement information of a second target user related to a wearing part where the item is worn and the wearing size of the second target user who wears the item; The recommendation control unit executes the recommendation date presentation control based on the first purchase recommendation date and the second purchase recommendation date. The computer system according to claim 1.

4. The recommendation control unit displays on the terminal device a first predicted change graph indicating a predicted change in the measurement information based on the measurement information of the first target user, a first indicator indicating a point on the first predicted change graph corresponding to the first purchase recommendation date, a second predicted change graph indicating a predicted change in the measurement information based on the measurement information of the second target user, a second indicator indicating a point on the second predicted change graph corresponding to the second purchase recommendation date, to perform the recommendation date presentation control. The computer system according to claim 3.

5. The recommendation control unit displays on the terminal device a first predicted change graph indicating a predicted change in the measurement information based on the measurement information of the first target user, a first indicator indicating a point on the first predicted change graph corresponding to the first purchase recommendation date, a display body indicating the second purchase recommendation date, to perform the recommendation date presentation control. The computer system according to claim 3.

6. An online shopping function unit for selling the item through online shopping using the terminal device as a man-machine interface, A user data management unit for managing data of registered users in the online shopping and data of the first target user associated with the registered user, further comprising: The recommendation control unit executes the recommended date presentation control at a predetermined purchase timing by the registered user. The computer system according to claim 1.

7. The estimation unit estimates a first recommended size comfort period during which the first target user can comfortably wear the first recommended size based on the measurement information and the wearing size of the first target user, and estimates the first purchase recommendation date based on the first recommended size comfort period. estimates a second recommended size comfort period during which the second target user can comfortably wear the second recommended size based on the measurement information and the wearing size of the second target user, and estimates the second purchase recommendation date based on the second recommended size comfort period. The recommendation control unit performs control to simultaneously display the first recommended size comfort period and the second recommended size comfort period on the terminal device. The computer system according to claim 3.

8. The recommendation control unit performs control to display the first recommended size and the first recommended size comfort period in association with each other on the terminal device, and to display the second recommended size and the second recommended size comfort period in association with each other on the terminal device. The computer system according to claim 7.

9. The recommendation control unit causes the terminal device to display a predetermined calendar display, and in the calendar display, a first identifier indicating that the date corresponding to the first purchase recommendation date is the purchase recommendation date of the first target user, and a second identifier indicating that the date corresponding to the second purchase recommendation date is the purchase recommendation date of the second target user are displayed, thereby executing the recommended date presentation control. The computer system according to claim 3.

10. A computer system that performs control to display recommendation information of an item wearable by a user on a terminal device, a first estimation unit that estimates a first purchase recommendation date, which is a purchase recommendation date of the item by the first target user, using measurement information of the first target user related to a wearing part where the item is worn. A second estimation unit that estimates a second recommended purchase date, which is the recommended purchase date of the item by the second target user, using measurement information of the second target user related to the wearing part where the item is worn; A recommendation control unit that executes recommendation date presentation control based on the first recommended purchase date and the second recommended purchase date as display control to be displayed on the terminal device; comprising; The recommendation control unit: A first prediction change graph showing a predicted change in the measurement information based on the measurement information of the first target user; A first indicator showing a point on the first prediction change graph corresponding to the first recommended purchase date; A second prediction change graph showing a predicted change in the measurement information based on the measurement information of the second target user; A second indicator showing a point on the second prediction change graph corresponding to the second recommended purchase date; The recommendation date presentation control is performed by displaying the above on the terminal device. A computer system.

11. A server system that is the computer system according to any one of Claims 1 to 10, and the terminal device, An online shopping system comprising.

12. A recommended information providing control method for a computer system to execute control for displaying recommended information of an item wearable by a user on a terminal device, estimating a first recommended purchase date, which is the recommended purchase date of the item related to a first recommended size larger than the wearing size, using the measurement information of the first target user related to the wearing part where the item is worn and the wearing size of the first target user who wears the item; performing recommendation date presentation control based on the first recommended purchase date as display control to be displayed on the terminal device; A recommended information providing control method for executing.

13. A recommended information providing control method for a computer system to execute control for displaying recommended information of an item wearable by a user on a terminal device, estimating a first recommended purchase date, which is the recommended purchase date of the item by the first target user, using the measurement information of the first target user related to the wearing part where the item is worn; estimating a second recommended purchase date, which is the recommended purchase date of the item by the second target user, using the measurement information of the second target user related to the wearing part where the item is worn; performing recommendation date presentation control based on the first recommended purchase date and the second recommended purchase date as display control to be displayed on the terminal device; including The recommendation date presentation control: A first predicted change graph showing a predicted change in the measurement information based on the measurement information of the first target user; A first indicator indicating a point on the first predicted change graph corresponding to the first purchase recommendation date; A second predicted change graph showing a predicted change in the measurement information based on the measurement information of the second target user; A second indicator indicating a point on the second predicted change graph corresponding to the second purchase recommendation date; including causing the terminal device to display the same; A recommended information providing control method.

14. A program for causing a terminal device to execute control for displaying recommended information on an item wearable by a user, communicating with a server system that estimates a first purchase recommendation date, which is a purchase recommendation date of the item related to a first recommended size larger than the wearing size, using measurement information of a first target user related to a wearing part where the item is worn and the wearing size of the first target user who wears the item; performing recommended date presentation control based on the first purchase recommendation date; A program for causing the terminal device to execute the same.

15. A program for causing a terminal device to execute control for displaying recommended information on an item wearable by a user, communicating with a server system that estimates a first purchase recommendation date, which is a purchase recommendation date of the item by the first target user, using the measurement information of the first target user related to the wearing part where the item is worn, and estimates a second purchase recommendation date, which is a purchase recommendation date of the item by the second target user, using the measurement information of the second target user related to the wearing part where the item is worn; display control of a first predicted change graph showing a predicted change in the measurement information based on the measurement information of the first target user; display control of a first indicator indicating a point on the first predicted change graph corresponding to the first purchase recommendation date; display control of a second predicted change graph showing a predicted change in the measurement information based on the measurement information of the second target user; display control of a second indicator indicating a point on the second predicted change graph corresponding to the second purchase recommendation date; A program for causing the terminal device to execute the same.

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