Computer system and recommendation information provision control method

Abstract

A computer system that performs control for presenting recommendation information about an article to a user is provided with a recommendation date estimation unit and a recommendation control unit. The recommended day estimation unit estimates, on the basis of size information relating to the size of the article, body information of a first subject user relating to a wearing portion where the article is worn, and the size information of a wearing article that the first subject user is suitable to wear at a current point in time, and estimates the recommended day on the basis of the body information of the first subject user and the size information of the wearing article that the first subject user is suitable to wear at the current point in time. A first purchase recommendation day, which is a purchase recommendation day of the first article, is estimated. The recommendation control unit provides the first purchase recommendation day and additional information necessary for recommending the purchase of the first article.

Description

(19) State Intellectual Property Office (12) Invention Patent Application (10) Application Publication Number (43) Application Publication Date (21) Application Number 202480077134.5 (22) Application Date 2024.10.11 (30) Priority Data 2023-223776 2023.12.29 JP (85) PCT International Application Entering National Phase Date 2026.06.04 (86) PCT International Application Application Data PCT / JP2024 / 036525 2024.10.11 (87) PCT International Application Publication Data WO2025 / 142035 JA 2025.07.03 (71) Applicant: Creative Business Co., Ltd. Address: Chiba Prefecture, Japan (72) Inventors: Kenjiro Fujii, Miki Aoyagi, Risa Miyagoshi, Li Bo, Hamish Jeliman, Matthew Brennan (74) Patent Agency: Beijing Kangxin Intellectual Property Agency Co., Ltd. 11240 Patent Attorney: Tian Xiqing (51) Int.Cl. G06Q 30 / 0601 (2006.01) G06Q 50 / 10 (2006.01) (54) Invention Title: Computer System and Recommendation Information Provision Control Method (57) Abstract: A computer system for providing control for providing recommendation information about an item to a user includes a recommendation date estimation unit and a recommendation control unit. The recommendation date estimation unit estimates the purchase recommendation date of the first item, i.e., the first purchase recommendation date, based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of the item suitable for the first target user to wear at the current time. The recommendation control unit provides the first purchase recommendation date and additional information required for recommending the purchase of the first item. Claims 2 pages, Description 27 pages, Drawings 19 pages, CN 122319456 A 2026.06.30 CN 1 22 31 94 56 A 1. A computer system for controlling the presentation of recommendation information about an item to a user, the computer system comprising: a recommendation date estimation unit that estimates a first purchase recommendation date for a first item, i.e., a first purchase recommendation date, based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of an item suitable for the first target user to wear at the current time; and a recommendation control unit that provides the first purchase recommendation date and additional information for recommending the purchase of the first item.2. The computer system of claim 1, wherein the recommendation date estimation unit estimates a first recommended size comfort period based on the body information of the first target user and the size information of the clothing item, and estimates the first purchase recommendation date based on the first recommended size comfort period. 3. The computer system of claim 2, wherein the additional information is based on information from the first recommended size comfort period. 4. The computer system of claim 3, wherein the additional information is based on information from the end of the first recommended size comfort period. 5. The computer system of any one of claims 1 to 4, wherein the additional information is information indicating a schedule in which the first item can be purchased cheaply. 6. The computer system of any one of claims 1 to 5, wherein the recommendation date estimation unit estimates a second purchase recommendation date, i.e., a second purchase recommendation date, based on the size information of the item, the body information of a second target user related to the wearing part of the item, and the size information of clothing items suitable for the second target user to wear at the current time, and the recommendation control unit provides the second purchase recommendation date. 7. The computer system according to any one of claims 1 to 6, wherein the recommendation control unit provides information for displaying a first predicted change graph and a first indicator, the first predicted change graph representing a predictive change in the physical information of the first target user, and the first indicator representing a point on the first predicted change graph corresponding to the first purchase recommendation date. 8. The computer system according to claim 6, wherein the recommendation control unit provides information for displaying a first predicted change graph, a first indicator, and a display, the first predicted change graph representing a predictive change in the physical information of the first target user, the first indicator representing a point on the first predicted change graph corresponding to the first purchase recommendation date, and the display representing the second purchase recommendation date. 9. The computer system according to any one of claims 1 to 8, wherein the computer system further comprises: an online shopping function unit for selling the items in online shopping; and a user data management unit for managing data of registered users in online shopping and data of the first target user to which the registered user is associated, wherein the recommendation control unit performs the provided control at a predetermined purchase time of the registered user.Claims 1 / 2 Page 2 CN 122319456 A 10. The computer system according to claim 6 or 8, wherein the recommendation date estimation unit estimates a first recommended size comfort period for the first item, which is estimated to be comfortable for the first target user, and estimates a first purchase recommendation date based on the first recommended size comfort period; estimates a second recommended size comfort period for the second item, which is estimated to be comfortable for the second target user, and estimates a second purchase recommendation date based on the second recommended size comfort period; the recommendation control unit provides information for simultaneously displaying the first recommended size comfort period and the second recommended size comfort period. 11. The computer system according to any one of claims 2 to 4, wherein the recommendation control unit provides information for establishing an association between the first recommended size and the first recommended size comfort period for display. 12. The computer system according to any one of claims 1 to 11, wherein the recommendation control unit provides information for displaying a predetermined calendar display, and in the calendar display, displaying information of a first identifier on the date that corresponds to the first purchase recommendation date, the first identifier indicating that this is the purchase recommendation date for the first target user. 13. A computer system for controlling the presentation of recommendation information about an item to a user, the computer system comprising: a recommendation date estimation unit that estimates a first purchase recommendation date for the first target user, i.e., a first purchase recommendation date, using body information of a first target user related to the part of the body where the item is worn; and a recommendation control unit that performs recommendation date prompting control based on the first purchase recommendation date, the recommendation control unit including control for providing information for displaying a first predicted change graph and a first indicator in the recommendation date prompting control, the first predicted change graph representing a predictive change in the body information of the first target user, and the first indicator representing a point on the first predicted change graph corresponding to the first purchase recommendation date. 14. A method for providing recommendation information, used by a computer system to perform control for providing recommendation information about an item to a user, the method comprising: estimating a first purchase recommendation date, i.e., a first purchase recommendation date, based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of a suitable garment for the first target user to wear at the current time; and providing the first purchase recommendation date and additional information for recommending the purchase of the first item.15. A method for providing recommendation information, used by a computer system to perform control for providing recommendation information about an item to a user, the method comprising: estimating a first purchase recommendation date for the first user of the item using body information of a first user related to the wearing part of the item; and performing recommendation date prompt control based on the first purchase recommendation date, the recommendation date prompt control comprising providing control for displaying information for displaying a first predictive change graphic and a first indicator, the first predictive change graphic representing a predictive change in the body information of the first user, and the first indicator representing a point on the first predictive change graphic corresponding to the first purchase recommendation date. Claims 2 / 2 Page 3 CN 122319456 A Computer System and Method for Providing Recommendation Information Technical Field

[0001] The present invention relates to a computer system that displays recommendation information about items that a user can wear on a terminal device, etc. Background Art

[0002] Conventionally, techniques have been proposed for providing information about clothing as the wearer's body shape changes. For example, Patent Document 1 discloses a technique for providing information required for determining the purchase of children's clothing. Specifically, in the technology of Patent Document 1, the permissible size for children's clothing is pre-stored, and the critical date when the wearer will become unable to wear the children's clothing is predicted based on the permissible size and the growth pattern of the wearer (child user). Therefore, the user can know the time when the children's clothing can be worn and then consider purchasing the children's clothing.

[0003] Prior Art Documents

[0004] Patent Documents

[0005] Patent Document 1: Japanese Patent Application Publication No. 2007-265077 Summary of the Invention

[0006] Technical Problem to be Solved by the Invention

[0007] However, the technology of Patent Document 1 only tells the user the period until the child user becomes unable to wear the children's clothing as the wearable time, but does not tell the specific time when the size will become wearable and recommend purchasing it. In addition, it is described as clothing as a wearable item, but the same technical problem exists for other wearable items such as shoes or hats.

[0008] The technical problem to be solved by the present invention is to provide information on the recommended purchase date of an item to a user who is wearing the item.

[0009] Technical Solution for Solving the Technical Problem

[0010] The first invention required to solve the above-mentioned technical problem is a computer system for controlling the provision of recommendation information about an item to a user. The computer system includes: a recommendation date estimation unit that estimates a purchase recommendation date, i.e., a first purchase recommendation date, based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of a suitable item for the first target user to wear at the current time; and a recommendation control unit that provides the first purchase recommendation date and additional information for recommending the purchase of the first item.

[0011] In addition, the second invention is a computer system for controlling the presentation of recommendation information about an item to a user. The computer system includes: a recommendation date estimation unit that estimates the purchase recommendation date, i.e., a first purchase recommendation date, of the item for the first target user using body information of a first target user related to the part of the body where the item is worn; and a recommendation control unit that performs recommendation date prompt control based on the first purchase recommendation date. The recommendation control unit includes the provision of control for displaying information for a first predicted change graph and a first indicator in the recommendation date prompt control. The first predicted change graph represents a predictive change in the body information of the first target user, and the first indicator represents a point on the first predicted change graph corresponding to the first purchase recommendation date.

[0012] In addition, the third invention is a recommendation information provision control method, which is a method for providing recommendation information to a computer system to perform control required for providing recommendation information about an item to a user. The method performs the following: estimating a first purchase recommendation date for a first item based on: size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of the item that the first target user is suitable to wear at the current time; and providing the first purchase recommendation date and additional information required for recommending the purchase of the first item.

[0013] In addition, the fourth invention is a recommendation information provision control method for a computer system to perform control for providing recommendation information about an item to a user. The recommendation information provision control method includes: estimating the purchase recommendation date of the item for the first target user, i.e., a first purchase recommendation date, using body information of a first target user related to the wearing part of the item; and performing recommendation date prompt control based on the first purchase recommendation date. The recommendation date prompt control includes providing control for displaying information for displaying a first predictive change graph and a first indicator, the first predictive change graph representing a predictive change in the body information of the first target user, and the first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date.

[0014] FIG1 is a diagram showing an example of the overall configuration of an online shopping system.

[0015] FIG2 is a diagram showing an example of the device configuration of a terminal device.

[0016] FIG3 is a diagram illustrating the association between a registered user ID and a wearing user ID.

[0017] FIG4 is a diagram showing an example of comfort variation information of an item I1 suitable for wearing user U11.

[0018] Figure 5 is a diagram showing an example of comfort variation information for item I2 suitable for wearing by user U11.

[0019] Figure 6 is a diagram showing an example of comfort variation information for item I3 suitable for wearing by user U11.

[0020] Figure 7 is a diagram illustrating an overview of the estimation process.

[0021] Figure 8 is a diagram showing an example of a recommendation display screen.

[0022] Figure 9 is a diagram showing another example of a recommendation display screen.

[0023] Figure 10 is a diagram showing another example of a recommendation display screen.

[0024] Figure 11 is a diagram showing another example of a recommendation display screen.

[0025] Figure 12 is a diagram showing another example of a recommendation display screen.

[0026] Figure 13 is a diagram showing another example of a recommendation display screen.

[0027] Figure 14 is a diagram showing another example of a recommendation display screen.

[0028] Figure 15 is a block diagram showing an example of the functional configuration of a server system. Instruction Manual 2 / 27 Page 5 CN 122319456 A

[0029] FIG16 is a diagram showing an example of the data structure of user management data.

[0030] FIG17 is a block diagram showing an example of the functional structure of a terminal device.

[0031] FIG18 is a flowchart showing the processing flow in a server system.

[0032] FIG19 is a diagram showing a recommended display screen in a modified example. Detailed Description

[0033] Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. Furthermore, the present invention is not limited to the embodiments described below, and the ways in which the present invention can be applied are not limited to the following embodiments. In addition, in the description of the drawings, the same parts are labeled with the same reference numerals.Hereinafter, shoes (short boots) will be used as an example of footwear as an example of an item, but the same principle applies when footwear, including boots (thigh boots), is sold as an item, and the same principle applies when other items such as clothing or hats are sold.

[0034] [Overall Configuration]

[0035] FIG1 is a diagram showing an example of the overall configuration of the online shopping system 1000 in this embodiment. As shown in FIG1, the online shopping system 1000 includes a server system 1100 and a terminal device 1500, which are connected by a network 9 to enable data communication between them. The online shopping system 1000 provides an online shopping service for items that users can wear. Hereinafter, shoes will be used as an example of an item, but the same principle applies when other items are sold.

[0036] The network 9 means a communication path that enables data communication. That is, the so-called network 9, in addition to LAN (Local Area Network) based on dedicated lines (dedicated cables) or Ethernet (registered trademark) required for direct connection, also includes communication networks such as telephone communication networks or cable television networks, the Internet, etc. In addition, the communication method is not limited to wired / wireless.

[0037] The server system 1100 is a computer system that includes: main unit 1101, keyboard 1106, touch panel 1108, and storage 1140. The main unit 1101 has a built-in control board 1150 that is equipped with various microprocessors such as CPU (Central Processing Unit) 1151 or GPU (Graphics Processing Unit), DSP (Digital Signal Processor), various IC memories such as VRAM or RAM, ROM, etc. 1152, communication devices 1153, etc. Furthermore, part or all of the control board 1150 may also be implemented via an ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), or SoC (System on a Chip).

[0038] The server system 1100, through calculations performed by the CPU 1151 and the like based on predetermined programs and data, implements user management functions for managing data by registering users and binding accounts, and online shopping functions related to providing online shopping services. This includes the provision of programs for the terminal device 1500 required to implement each function, or the provision of various data necessary for the execution of the programs.Users who have completed the registration process (registered users) access the server system 1100 using their own terminal device 1500, log in using the issued registered user ID, and enjoy online shopping.

[0039] Furthermore, although only one terminal device 1500 is depicted in FIG1, in actual system operation, multiple terminal devices 1500 can access the server system 1100 simultaneously.

[0040] In addition, although the server system 1100 is depicted as a single server device, it can also be implemented with multiple devices. For example, the server system 1100 may also be equipped with multiple blade servers that share various functions, and be connected to each other through an internal bus to form a configuration that allows data communication. In addition, the location where the hardware constituting the server system 1100 is installed is not important. It is also possible to describe a configuration in which multiple servers that are set up in separate locations and are independent communicate with each other through a network 9, so that they can function as a whole as the server system 1100.

[0041] The terminal device 1500 is a computer system responsible for the human-computer interface function, which can be connected to the network 9 via a communication base station or the like, and communicate with the server system 1100. The terminal device 1500 shown in FIG2 is classified as a so-called smartphone, but as long as it is a computer, it can also be a wearable computer such as a smartwatch, or a portable gaming device, tablet computer, personal computer, etc. When a combination of a smartphone and a smartwatch connected to the smartphone achieves one function through the organic connection of multiple electronic devices, these multiple electronic devices can be regarded as a terminal device 1500.

[0042] FIG2 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 Figure 2, the terminal device 1500 includes: a directional input key 1502, a Home key 1504, a touch panel 1506 that functions as both 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 a computer-readable storage medium, i.e., a memory card 1540. Other components include a power button and a volume control knob (not shown).

[0043] The control board 1550 is equipped with: various microprocessors such as a CPU 1551 or GPU, DSP, etc.; various IC memories such as VRAM or RAM, ROM, etc. 1552; a wireless communication module 1553 required for wireless communication with a mobile phone base station or wireless communication base station connected to the network 9; and an interface circuit 1557.The interface circuit 1557 includes: a circuit for receiving signals from the directional input key 1502 or the Home key 1504; a driving circuit for the touch panel 1506; an output amplification circuit for outputting sound signals to the speaker 1510; a sound signal generation circuit for generating sound signals from the microphone 1512; a circuit for inputting image signals captured by the camera 1520; and a signal input / output circuit for the memory card reader 1542.

[0044] The various elements mounted on the control board 1550 are electrically connected via bus circuits, etc., and are connected to enable data reading / writing or signal transmission / reception. Furthermore, part or all of the control board 1550 may be constructed from an ASIC, FPGA, or SoC. Then, the control board 1550 stores the programs or various data required to realize the functions of the terminal device in the IC memory 1552.

[0045] Furthermore, although this embodiment is designed so that the terminal device 1500 downloads the program or various setting data from the server system 1100, it can also be designed so that it reads the data from a storage medium such as a separately acquired memory card 1540.

[0046] [Details]

[0047] 1. Regarding the user management function

[0048] In order to implement the user management function, the server system 1100 performs the following: processing related to user registration (user registration processing), and processing related to the management of data of registered users who have registered through the registration process, or data of wearing users associated with the registered users (data management processing).

[0049] In this embodiment, as shown in FIG3, the registered user ID of a registered user can be associated with the wearing user ID of a wearing user with one or more digits. A registered user is a user who logs in with a registered user ID and makes online purchases of various items such as shoes. On the other hand, a wearing user is a user who wears the shoes purchased by the registered user. The wearing user can be the registered user himself or his family or friends. In this embodiment, to make the explanation easier to understand, an example is shown where the wearer is assumed to be the child of the registered user. The child is registered as a wearer by the registered user, and a wearer ID is issued to that wearer. For each wearer ID, user data acquired for that wearer in the data acquisition process described later (refer to wearer data 520 in Figure 16) is established and stored accordingly. The user data includes: attribute information such as the wearer's age or gender, measurement information of the wearer measured on the part of the item (shoes in this embodiment, the foot in this embodiment), and comfort variation information generated using the wearer's attribute information or measurement information.As described later, comfort variation information is generated for each wearer according to each item (in this embodiment, shoes sold in the online shopping service).

[0050] 2. Regarding the online shopping function

[0051] In order to realize the online shopping function, the server system 1100 performs data acquisition processing to acquire user data of the target user. In addition, when a registered user has logged in, the server system 1100 displays the product information of the item on the terminal device 1500. Then, before the display of the product information, the server system 1100 performs estimation processing to estimate the purchase recommendation date of the item and recommendation control processing to control the recommendation date based on the purchase recommendation date for each wearer associated with the registered user.

[0052] 2-1. Regarding the data acquisition processing

[0053] In the data acquisition processing, the server system 1100 acquires user data by treating the wearer specified by the registered user in the terminal device 1500 as the target user. For example, when a new user is registered, or when measurements related to measurement information are desired for any user, the user is designated as the target user.

[0054] Then, upon detecting the designation of the target user, the server system 1100 first obtains the target user's attribute information. This information can be obtained by accepting input operations such as age or gender on the terminal device 1500.

[0055] Next, the server system 1100 obtains the target user's measurement information. The measurement information includes: shape data of the wearing part (foot in this embodiment) and growth change data of the wearing part. For example, this can be obtained by measuring with a measuring unit that can measure the size of the foot. As an example, a predetermined mat with many points (marks) for measurement is prepared, and the target user's foot is placed on the mat and photographed from multiple directions by the terminal device 1500. Then, based on the photographic data and the markings (marks) on the mat, a 3D model of the foot is created, and various data (shape data) about the shape of the user's foot, such as the overall shape of the foot, the shape of the instep, the size of the foot, the width of the foot, and whether it is flatfoot, are measured. Alternatively, other methods can be used as long as the same data can be obtained. For example, the user's foot placed on a flat surface can be photographed from multiple directions using the terminal device 1500, and the same data can be measured based on the photographic data. The measurement processing can be performed by the terminal device 1500, or it can be performed by the server system 1100 after acquiring the photographic data. The only difference lies in whether the measurement unit is provided by the terminal device 1500 or the server system 1100.Alternatively, the same data can be obtained by manually inputting the length of the target user's feet into the terminal device 1500. Either method will ultimately allow the server system 1100 to acquire the measurement data (measurement results). Then, the server system 1100 predicts the growth changes of the target user's feet based on the measurement results or the target user's attribute information. For example, the foot size at each age (e.g., in months) after the measurement time point can be predicted, and the predictive changes in size at each age can be obtained as growth change data. The server system 1100 uses the obtained shape data and growth change data as measurement information for the target user.

[0056] Furthermore, the growth change data can also be configured to use data on the average growth changes in the foot size of children of the same sex (the average foot size at each age). Alternatively, data on the growth changes of children with faster growth rates (average foot size per month) and children with slower growth rates (average foot size per month) can be prepared in advance, and the data corresponding to the growth rate of the target user (average value) can be used as the growth change data. Alternatively, it can be configured to add to the exemplified average value and predict growth changes based on the measurement results (i.e., measured values) from the measurement unit. Or, growth changes can be predicted based on information about the target user entered by the registered user (such as attributes like age or gender, height, weight, etc.) or images of the target user's body (here, feet) (e.g., images of feet taken from various angles).

[0057] If measurement information has been obtained, the server system 1100, for each predetermined item (e.g., shoes sold in an online shopping service), generates comfort change information based on the item information of the item, the attribute information of the target user, and the measurement information, indicating the change in comfort over time as the target user wears the item. Furthermore, the attribute information and measurement information of the target user are not limited to the composition of both users; they can also be the composition of only one user.

[0058] The item information includes: the item name, category, size distribution, material or size, weight, and other specifications, as well as information on the purchaser's evaluation of the item. When evaluation information is used in the generation of comfort change information, for example, information on the evaluation of the item by a registered user whose attribute information or measurement information is similar to that of the target user and who has registered as a wearer, is extracted and used to generate comfort change information. Specifically, when generating the comfort graph for each size as described later, the information from this evaluation can be used to adjust the shape of the parabola to make it steeper or gentler.

[0059] Figures 4, 5, and 6 are diagrams illustrating examples of comfort variation information generated for each of the items (shoes) I1, I2, and I3, with the wearer U11 (see Figure 7) as the target user. In this embodiment, comfort variation information, expressed as values ​​from "0" (very poor) to "100" (very good), is generated at each point in time from the measurement time point involved in the measurement information of the target user (wearer U11) (i.e., the previous measurement time point where the previous measurement was performed for wearer U11) to a predetermined target period (14 months later in the example of Figure 4, etc.). Furthermore, in Figure 4, etc., the generated comfort variation information is illustrated by excerpting portions with comfort levels of 50 or higher.

[0060] If focusing on one item, when generating comfort variation information, for example, the server system 1100 performs the following processing for each size according to the size distribution of the target item. First, based on the measurement information of the target user (in this case, user U11), the estimated optimal comfort time point is determined when the target user is wearing that size. Next, the comfort level at the estimated optimal comfort time point is set to 100, and a parabolic graph with the estimated optimal comfort time point as its vertex is generated as the comfort graph for that size. At this point, item information is used to adjust the shape of the parabola in the generated graph (the slope of the parabola should be set to a gentler shape, or a steeper shape, etc.). This process is repeated for each size, generating comfort graphs for each size to obtain information on comfort variation.

[0061] For example, in the example of FIG4, the following examples are illustrated: as comfort variation information regarding item I1, the following comfort graphs are generated: G1-1 for user U11 wearing 12cm, G1-2 for user U11 wearing 12.5cm, G1-3 for user U11 wearing 13cm, and G1-4 for user U11 wearing 13.5cm. Similarly, in the example of FIG5, the following examples are illustrated: as comfort variation information regarding item I2, the following comfort graphs are generated: G2-1 for user U11 wearing 12cm, G2-2 for user U11 wearing 12.5cm, G2-3 for user U11 wearing 13cm, and G2-4 for user U11 wearing 13.5cm.The example in Figure 6 illustrates examples of the following: as information on the comfort variation of item I3, the following graphs were generated: G3-1 showing the comfort of user U11 wearing 12cm, and G3-2 showing the comfort of user U11 wearing 13cm. (Manual 6 / 27, page 9, CN 122319456 A)

[0062] Here, when comparing item I1 in Figure 4 and item I2 in Figure 5, even if they are the same size, item I2 is designed to fit more snugly (e.g., the material used for item I2 is a non-stretchable material), and item I1 can be worn comfortably for a shorter period than item I2. Therefore, when generating the comfort graph for each size, the server system 1100 adjusts the shape of the parabola to be steeper for items designed to fit more snugly (e.g., item I1).

[0063] Conversely, when comparing items to each other, even if they are the same size, if one item is designed to be looser (for example, if one item is made of a material that is easily stretchable), that item can be worn comfortably for a longer period than the other item. Therefore, when generating the comfort graph for each size, the server system 1100 adjusts the shape of the parabola to be gentler for items designed to be looser.

[0064] In addition, when comparing items to each other, there may be cases where the size scale of one item is larger than that of another item. For example, the size of item I3 in FIG. 6 is 1cm, while the size of item I1 in FIG. 4 or item I2 in FIG. 5 is 0.5cm. Therefore, when generating the comfort graph for each size, the server system 1100 adjusts the shape of the parabola to be gentler than that of the smaller item for items with larger size scales.

[0065] Furthermore, the measurement information or comfort variation information is acquired and updated to the latest information each time the measurement information is performed for the target user.

[0066] Alternatively, the comfort variation information may be generated by taking into account the target user's preferences regarding the wearing of the item (e.g., whether they prefer a loose fit or a tight fit). Specifically, for example, information regarding the comfort of clothing for children with similar preferences to the target user may be extracted from the evaluation information contained in the item information and used in the generation of the comfort variation information. Specifically, when generating the comfort graph for each size, the evaluation information may be used to make the shape steeper or gentler when adjusting the shape of the parabola.

[0067] 2-2. Estimation Processing

[0068] In the estimation processing, the server system 1100 estimates the recommended purchase date for items with sizes larger than the target user's size based on the target user's measurement information and the target user's clothing size. In this embodiment, the server system 1100 estimates the recommended purchase date for each item using comfort variation information generated for each target user for each item, such as the target user's measurement information. When multiple clothing users are associated with a registered user, each clothing user is treated as a target user in turn, and estimation is performed for each target user.

[0069] FIG7 is an explanatory diagram of the estimation processing overview. FIG7 illustrates a registered user U1 and two clothing users U11 and U13 associated with the registered user U1. In the data acquisition and processing described above, for user U11, the comfort change information when user U11 wears the item is generated for each item (for example, refer to the comfort change information in Figures 4 to 6). For user U13, the comfort change information when user U13 wears the item is generated for each item. In this embodiment, when registered user U1 logs in, one user (e.g., user U11) is considered the first target user, and another user (e.g., user U13) is considered the second target user. Then, each item is treated as an estimated target item in turn, and the following processing is repeated for the first target user (here, user U11) to estimate the first recommended purchase date suitable for user U11 for each item.

[0070] That is, for example, if we take the case where item I4 shown in FIG7 is taken as the estimated object item, then the server system 1100, for the estimated object item (item I4 in this case), (A) determines the current wearing size of the user U11 (the size that can be comfortably worn at the current point in time; hereinafter referred to as "current size"). In addition, the server system 1100, (B) on page 7 / 27 of the specification 10 CN 122319456 A, estimates a size larger than the current size (e.g., a size one size larger) as the first recommended size, and (C) estimates the comfort period of item I4 in which the user U11 can comfortably wear the first recommended size as the first recommended size comfort period. Then, the server system 1100, (D) estimates the purchase recommendation date, i.e., the first purchase recommendation date, of item I4 associated with the user U11 based on the first recommended size comfort period. That is, the first recommended purchase date is the purchase date of the first recommended size estimated as one size larger than the current size.In other words, the first recommended size is equivalent to the size of the wearer U11 recommended to purchase on the first purchase recommendation date, which in this embodiment is set to a size one size larger than the current size.

[0071] If the first purchase recommendation date is estimated for each item for the first target user, then the same process is repeated for the second target user (here, wearer U13), estimating a second purchase recommendation date suitable for wearer U13 for each item.

[0072] That is, for example, if we take the case where item I4 shown in FIG7 is taken as the estimated target item, then the server system 1100, for the estimated target item (here, item I4), (A) determines the current size of wearer U13. In addition, the server system 1100, (B) estimates a size one size larger than the current size as the second recommended size, and (C) estimates the comfort period for wearer U13 to comfortably wear item I4 of the second recommended size as the comfort period of the second recommended size. Then, the server system 1100 (D) estimates the purchase recommendation date, i.e., the second purchase recommendation date, of the item I4 associated with the wearer U13 based on the second recommended size comfort period. That is, the second purchase recommendation date is the purchase recommendation date of the second recommended size, which is estimated to be one size larger than the current size. In other words, the second recommended size is equivalent to the size of the wearer U13 recommended to purchase on the second purchase recommendation date, which is set to one size larger than the current size in this embodiment.

[0073] Next, a specific example of the estimation process will be given as an example of estimating the first purchase recommendation date suitable for the wearer U11 for the item I1 using the comfort variation information of FIG4.

[0074] Here, as described with reference to FIG4, the comfort variation information is generated when the measurement information associated with the corresponding wearer is acquired (the measurement time involved in the measurement information), and represents the comfort at each time point of a predetermined period from the measurement time point (the previous measurement time point). Therefore, in the estimation process, the current time point is used as the reference time, and the portion of comfort change information that comes after the reference time point is used for estimation. For example, for the time point T11 in Figure 4 where the elapsed period is 0 (the previous measurement time point) after the user U11 has just been measured, it becomes the reference time point. On the other hand, if the login time point of the registered user is the time point T13, which is 5 months after the previous measurement time point, then the time point T13, which is 5 months later, becomes the reference time point.

[0075] For example, if the reference time point is T11, then firstly, by determining in (A) which size of the comfort period of the item I1 the reference time point T11 belongs to, the current size of the item I1 that the user U11 can comfortably wear at the current time point is determined.In this embodiment, the comfort period is defined as the period during which predetermined comfort conditions are met. The comfort conditions can be set, for example, "the comfort level is 80 or higher in the estimated comfort variation information of the object item". In Figure 4, the reference time T11 belongs to the comfort period (from the reference time T11 to 4 months later) of the size (12cm) corresponding to the graphic G1-1. Therefore, the current size is determined to be that size (12cm).

[0076] In addition, although an example of determining the current size from the comfort variation information has been described here, for example, if the item I1 was purchased in the past and the wearer U11 actually wears the item I1, the purchased size can also be regarded as the wearing size.

[0077] Next, (B) the size that is 1 size larger than the current size is the size (12.5cm) corresponding to the graphic G1-2, so the first recommended size is estimated to be that size (12.5cm). Instruction manual, page 8 / 27, CN 122319456 A

[0078] Next, (C) if viewing graphic G1-2, since the comfort level is above 80 during the period from 3.5 months after the reference time T11 to 7.5 months later, this period is estimated as the first recommended size comfort period.

[0079] Next, (D) based on the first recommended size comfort period, the first purchase recommendation date is estimated. For example, the starting point of the first recommended size comfort period (the point 3.5 months after the reference time T11) T15 can be estimated as the first purchase estimate date. In addition, once the intersection point T16 of graphic G1-1 and graphic G1-2 has passed, the comfort level of the first recommended size is greater than that of the current size. The intersection point T16 can also be used as the first purchase recommendation date. Alternatively, a point earlier than the starting point of the first recommended size comfort period can be used as the first purchase recommendation date. As for how far back to be considered the first recommended purchase date, it can be set appropriately. For example, it can be set to 1 month ago or 10 days ago. If it is set to 1 month ago, then the first recommended purchase date is estimated to be 1 month back from the starting point (2.5 months after the reference time T11).

[0080] Next, if the reference time is T13, then firstly, (A) since the reference time T13 is within the comfortable period of the size (12.5cm) corresponding to the graphic G1-2, the current size is determined to be that size (12.5cm).

[0081] Next, (B) the size one size larger than the current size is the size (13cm) corresponding to the graphic G1-3, so the first recommended size is estimated to be that size (13cm).

[0082] Next, (C) if we look at graph G1-3, since the comfort level is above 80 during the period from 2 months after the reference time T13 (7 months after the previous measurement time) to 6 months after the reference time T13 (11 months after the previous measurement time), this period is estimated as the first recommended size comfort period.

[0083] Next, (D) the first recommended purchase date is estimated based on the first recommended size comfort period. For example, the start date of the first recommended size comfort period (the time point 2 months after the reference time T13) can be estimated as the first recommended purchase date, or the time point at which a predetermined number of days are traced back from the start date can be used as the recommended purchase date.

[0084] In addition, when the current size is determined with reference to the comfort change information in (A), there may be cases where the reference time does not belong to the comfort period of any size. For example, this is equivalent to the case when the time point T2, where the period is 0, is the reference time in Figure 5. Figure 5 illustrates an example of the size distribution of item I2 starting from 12cm. At time T2, if user U11 wants to wear item I2 at 12cm, it is still too large. In such a case, the current size may not be determined in (A), and the size that user U11 can initially wear (the smallest size; in this case, 12cm) may be used as the first recommended size in (B).

[0085] In addition, the comfort threshold as a comfort condition is not limited to the 80 shown in the example, and may be set according to each registered user. If the registered user is someone who wants to buy an item that can be worn for as long as possible even if there is a slight difference between the user's foot and the size of the item, then the comfort threshold may be set to 70 or the like. In addition, if the registered user values ​​ease of movement when wearing the item, then the comfort threshold may be set to a higher value, such as 90 or 95.

[0086] The setting for each registered user—whether to prioritize the longest possible wearing time or ease of movement even with increased replacement frequency—can be achieved, for example, by processing the questionnaire input from registered users beforehand.

[0087] Alternatively, the comfort threshold, which is a comfort condition, can be set according to the category of the item. For example, if the category of item I1 is "sports shoes," then ease of movement while wearing them is prioritized, and the comfort threshold is set to 95, etc.

[0088] Alternatively, the comfort threshold, which is a comfort condition, can be set according to the items previously worn by the target user. For example, if a replacement item (size increase) needs to be purchased when the comfort level is below 90, the comfort threshold can be set to 90, as described on page 9 / 27 of the specification, CN 122319456 A.By obtaining the date and time of previous purchases of replacement items from the purchase history data 535 of the registered user (see Figure 16), the threshold of comfort at the time of purchase of replacement items can be determined.

[0089] In addition, the setting of the comfort threshold (i.e., the setting of comfort conditions) can also be configured to be performed by accepting the input operation of the threshold of the registered user.

[0090] 2-3. Recommendation control processing

[0091] In the recommendation control processing, the server system 1100, as a display control for causing the terminal device 1500 to display, performs recommendation date prompt control based on the purchase recommendation date estimated by the estimation process. In this embodiment, the server system 1100 displays the product information of the item on the terminal device 1500 of the registered user in response to the browsing operation of the registered user on the item. Then, the server system 1100 displays a display body or identifier indicating the purchase recommendation date estimated for the wearer for the item to perform recommendation date prompt control. Hereinafter, we will explain an example of recommendation day reminder control (Examples 1 to 5) assuming that the browsing operation of item I4 was performed by the registered user U in Figure 7.

[0092] (Example 1)

[0093] Figure 8 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation day reminder control of this example. As shown in Figure 8, the recommendation display screen W5 of this example includes: a first display area W51 for a first target user (e.g., wearing user U11) and a second display area W53 for a second target user (e.g., wearing user U13).

[0094] First, the first display area W51 displays a first prediction change graph G51 representing a predictive change in measurement information based on the measurement information of the first target user, i.e., wearing user U11, and a first indicator O511 representing a point on the first prediction change graph G51 corresponding to the first purchase recommendation day.

[0095] The first predicted change graph G51 sets the horizontal axis to age (in months) and the vertical axis to foot size, representing the predicted change in the foot size of the wearer U11 since the last measurement point. In this embodiment, the server system 1100 graphically represents the growth change data of the wearer U11 (growth change data 529 in FIG. 16) generated as measurement information and displays it as the first predicted change graph G51 in the first display area W51 of the recommendation display screen W5. Then, the server system 1100 displays a first indicator O511 on the first predicted change graph G51, indicating the first purchase recommendation date of the item I4 related to the wearer U11, and simultaneously displays an indicator O513 indicating the current time point.

[0096] Furthermore, in the first display area W51, the current size or first recommended size of the item I4 associated with the wearer U11, and the first recommended size comfort period, may also be displayed. In this case, regarding the first recommended size comfort period, for example, on the first predictive change graph G51, the graphic portion corresponding to that period may be displayed by changing the line type or color, etc., compared to other graphic portions. Regarding the current size or the first recommended size, for example, these may be displayed in a display bar within the first display area W51.

[0097] Next, the second display area W53 displays a second predictive change graph G53 representing a predictive change in measurement information based on the measurement information of the second target user, i.e., the wearer U13, and a second indicator O531 representing a point on the second predictive change graph G53 corresponding to the second purchase recommendation date.

[0098] The second predicted change graph G53 sets the horizontal axis to age (in months) and the vertical axis to foot size, representing the predicted change in the foot size of the wearer U13 since the last measurement point. In this embodiment, the server system 1100 graphically represents the growth change data of the wearer U13 generated as measurement information and displays it as the second predicted change graph G53 in the second display area W53 of the recommendation display screen W5. Then, the server system 1100 displays a second indicator O531 indicating the second purchase recommendation date of the item I4 related to the wearer U13 on the second predicted change graph G53, and also displays an indicator O533 indicating the current time point. Instruction manual, page 10 / 27, 13 CN 122319456 A

[0099] Furthermore, in the second display area W53, similarly to the first display area W51, the current size or second recommended size of the item I4 associated with the wearer U13, or the second recommended size during the second recommended size comfort period, can also be displayed.

[0100] Additionally, in the recommendation display screen (here, recommendation display screen W5), the next measurement date of the first target user (here, wearer U11) or the next measurement date of the second target user (here, wearer U13) can also be displayed. For example, the next scheduled measurement date of wearer U11 can be displayed in the first display area W51, while the next scheduled measurement date of wearer U13 can be displayed in the second display area W53.

[0101] Regarding the user, if the measurement information is not performed for a long period of time, resulting in the measurement information being too old, the comfort graph shown in the comfort variation information will not match the actual foot size of the user, which will increase the concern that the estimation accuracy of the first recommended size or the second recommended size estimated based on the comfort variation information will be reduced.To maintain the accuracy of the estimate, measurements must be taken periodically for each wearer. The next measurement date is a scheduled time for the next measurement set for each wearer in order to maintain the accuracy of the estimate. For example, the next measurement date can be set to be a time point after a predetermined period from the wearer's previous measurement time. The predetermined period is, for example, 3 months or 6 months, which can be appropriately set.

[0102] Specifically, the next measurement date for wearer U11 is displayed, for example, in the first display area W51 as an indicator of a point on the first prediction change graph G51 corresponding to the next measurement date. Similarly, the next measurement date for wearer U13 is displayed, for example, in the second display area W53 as an indicator of a point on the second prediction change graph G53 corresponding to the next measurement date.

[0103] (Example 2)

[0104] FIG9 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation date reminder control in this example. In the recommended display screen W6 of this example, the first predicted change graphic G51 related to the first target user (wearing user U11) and the second predicted change graphic G53 related to the second target user (wearing user U13) are displayed with the horizontal axis as a common axis.

[0105] That is, in FIG9, in the upper paragraph (1), it is shown that the first predicted change graphic G51 or the first indicator O511 on the first predicted change graphic G51 is displayed when the horizontal axis is scrolled to the age of wearing user U11. Then, if starting from the display state shown in FIG9 (1), the horizontal axis is scrolled to the age of wearing user U13, then as shown in FIG9 (2) in the lower paragraph, the second predicted change graphic G53 or the second indicator O531 will be displayed.

[0106] Furthermore, in the recommended display screen W6 of this example, it is also possible to configure it so that the current size or first recommended size of the item I4 associated with the wearer U11, or the first recommended size, is displayed near the display of the first predicted change graphic G51, etc. (Figure 9, (1)). In addition, the current size or second recommended size of the item I4 associated with the wearer U13, the second recommended size, the second recommended size, and the second purchase recommendation date may also be displayed. Even if Figure 9, (2) is displayed without scrolling, information related to the wearer U13 can still be grasped at the same time. Similarly, it is also possible to configure it so that the current size or second recommended size of the item I4 associated with the wearer U13, or the second recommended size, or the second recommended size, is displayed near the display of the second predicted change graphic G53, etc. (Figure 9, (2)). In addition, the current size or first recommended size of the item I4 associated with the wearer U11, the first recommended size, the first recommended size, and the first purchase recommendation date may also be displayed.Even if the scrolling is not performed and the information of Figure 9 (1) is displayed, the information related to the wearer U11 can still be grasped at the same time.

[0107] In addition, when the information related to the wearer U11 and the information related to the wearer U13 are displayed, it is preferable to display the information of both in a recognizable manner. For example, they can be displayed with different colors or different font sizes. In addition, the display bars can be set to different backgrounds, or the shape of the frame of the display bar can be changed for recognizable display. Specification 11 / 27 pages 14 CN 122319456 A

[0108] (Example 3)

[0109] Figure 10 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation day prompt control in this example. As shown in Figure 10, in the recommendation display screen W7 in this example, the horizontal axis is set to a composite graphic of two axes to display the first prediction change graphic G51 and the second prediction change graphic G53. In the example of Figure 10, the first horizontal axis (upper side) is set to the age (in months) of the wearer U11, and the first predicted change graph G51 or the first indicator O511 on the first predicted change graph G51, etc., are displayed on this first horizontal axis. The second horizontal axis (lower side) is set to the age (in months) of the wearer U13, and the second predicted change graph or the second indicator O531 on the second predicted change graph G53, etc., are displayed on this second horizontal axis. The first predicted change graph G51 on the first horizontal axis is represented by a single-dotted line, and the second predicted change graph G53 on the second horizontal axis is represented by a double-dotted line. The vertical axis (foot size) is common.

[0110] Furthermore, in the recommended display screen W7 of this example, it can also be configured such that the current size or first recommended size of the item I4 associated with the wearing user U11, or the first recommended size during the comfortable period, is displayed, or the current size or second recommended size of the item I4 associated with the wearing user U13, or the second recommended size during the comfortable period.

[0111] (Example 4)

[0112] FIG11 is a diagram showing an example of a recommended display screen displayed on the terminal device 1500 via the recommended day reminder control of this example. As shown in FIG11, the recommended display screen W8 of this example includes: a first display area W81 for a first target user (e.g., wearing user U11) and a second display area W83 for a second target user (e.g., wearing user U13).

[0113] In the first display area W81, the horizontal axis is set to age (months) and the vertical axis is set to foot size. The first predicted change graph G51 related to the first target user, i.e. the user U11 wearing the garment, or the first indicator O511 on the first predicted change graph G51 that indicates the purchase recommendation date (first purchase recommendation date) of item I4, is displayed.Additionally, in the second display area W83, for example, the estimated purchase recommendation date (second purchase recommendation date) D8 for the same item I4, for the wearer U13, is displayed.

[0114] Furthermore, in the recommendation display screen W8 of this example, it is also possible to configure the first display area W81 to display the current size or the first recommended size of the item I4 associated with the wearer U11, or the period when the first recommended size is comfortable. Alternatively, the second display area W83 may display the current size or the second recommended size of the item I4 associated with the wearer U13, or the period when the second recommended size is comfortable.

[0115] Alternatively, it is also possible to configure the display object of the first display area W81 (wearer U11 in the example of FIG11) and the display object of the second display area W83 (wearer U13 in the example of FIG11) to be interchanged. Specifically, for example, a switch button or the like is provided in the recommendation display screen W8 to accept the display switching operation performed by the user. Then, the display of the first display area W81 can be changed to a second predicted change graphic related to the wearer U21 or a second indicator on the second predicted change graphic indicating the purchase recommendation date (second purchase recommendation date) of item I4. At the same time, the display of the second display area W83 can be changed to the purchase recommendation date (first purchase recommendation date) of item I4 related to the wearer U11.

[0116] In addition, the configuration of displaying the second display area W83 is not limited to being mandatory. It can also be configured to be displayed only when predetermined conditions are met. For example, the second display area W83 can be displayed if the purchase recommendation date (second purchase recommendation date) estimated for the wearer U13 falls within a predetermined period calculated from the purchase recommendation date (first purchase recommendation date) estimated for the wearer U11. Conversely, the second display area W83 may be displayed if the purchase recommendation date (second purchase recommendation date) estimated for wearing user U13 does not fall within a predetermined period calculated from the purchase recommendation date (first purchase recommendation date) estimated for wearing user U11. The length of the predetermined period can be appropriately set. Manual 12 / 27 pages 15 CN 122319456 A

[0117] (Example 5)

[0118] FIG12 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation date reminder control in this example.As shown in Figure 12, the recommended display screen W9 in this example includes: a first display area W91 for a first target user (e.g., user U11) and a second display area W93 for a second target user (e.g., user U13), and an example of a screen where a first recommended size comfort period D916 related to user U11 and a second recommended size comfort period D936 related to user U13 are displayed simultaneously.

[0119] Specifically, the first display area W91 displays: user U11's current size D911, the first purchase recommendation date D913, and the first recommended size (the size of user U11 recommended to purchase on the first purchase recommendation date) D915. Then, the current size D911 is displayed in association with the comfort period D912 during which the wearer U11 can comfortably wear the current size D911, and the first recommended size D915 is displayed in association with the first recommended size comfort period D916 during which the wearer U11 can comfortably wear the first recommended size D915.

[0120] In addition, the second display area W93 displays: the current size D931 of the wearer U13, the first purchase recommendation date D933, and the second recommended size (the size of the wearer U13 recommended to purchase on the second purchase recommendation date) D935. Then, the current size D931 is displayed in association with the comfort period D932 during which the wearer U13 can comfortably wear the current size D931, and the second recommended size D935 is displayed in association with the second recommended size comfort period D936 during which the wearer U13 can comfortably wear the second recommended size D935.

[0121] Next, let's assume that the first user who is associated with a registered user as the target user is "Taro" and the second user is "Hanako", and we will use examples of recommendation display screens to illustrate the situation where the registered user has logged in (Examples 6 and 7).

[0122] (Example 6)

[0123] FIG13 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation day prompt control in this example. As shown in Figure 13, in the recommended display screen W10 of this example, on the predetermined calendar display, a mark (identifier) ​​is displayed at the corresponding date to display the purchase recommendation date (first purchase recommendation date; October 11 in Figure 13) for item I4 related to the first target user "Taro", the purchase recommendation date (second purchase recommendation date; October 31 in Figure 13) for item I4 related to the second target user "Hanako", and the purchase recommendation date (second purchase recommendation date; October 10 in Figure 13) for item I5 related to the second target user "Hanako".

[0124] As for which item's purchase recommendation date is to be displayed on the calendar, it can be appropriately set.For example, for shoes sold in an online shopping service, if there is still stock of the first recommended size, the recommended purchase date can be displayed. Additionally, if there are items that have been previously purchased, the recommended purchase date for that item can also be displayed. Alternatively, if a registered user has registered a category of items they prefer (e.g., "sneakers"), items in that category can also be displayed.

[0125] Furthermore, the calendar display in FIG13 can also be set in the recommendation display screen, etc., as illustrated in Examples 1 to 5, and is displayed when a registered user selects the menu.

[0126] (Example 7)

[0127] FIG14 is a diagram showing an example of a recommendation display screen displayed on the terminal device 1500 via the recommendation date reminder control in this example. In this example, the time when an item is added to the shopping cart is taken as the purchase time. In FIG14, the recommendation display screen W11 is shown as the shopping cart screen. More specifically, in the recommendation display screen W11, product information such as size and price of item I4, which is suitable for the user "Taro" and has been added to the shopping cart by the registered user, is displayed to urge final confirmation of purchase.

[0128] Then, in the recommendation display screen W11 in this example, the recommended purchase date or the recommended size associated with the purchase recommendation date for the pre-ordered item (item I4 or item I5 in W11) suitable for other users (in this example, "Hanako") may be displayed. Alternatively, the purchase button (the button required to add items to the shopping cart) for each item may also be displayed. As for which item to display the purchase recommendation date, etc., it can be selected, for example, based on the time of purchase. Specifically, the purchase recommendation date can also be selected as an item within a predetermined number of days from the current date (for example, within 1 month or within 15 days). Additionally, if the item is not available during the recommended purchase date, or if it is available but in small quantities, the current size of other users (here, "Hanako") wearing the item can also be displayed. Alternatively, it can be configured to be appropriately set in the same manner as in Example 6.

[0129] [Functional Configuration]

[0130] 1. Server System

[0131] FIG15 is a block diagram showing an example of the functional configuration of the server system 1100. As shown in FIG15, 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.

[0132] The operation input unit 110s is implemented, for example, as an input device such as a keyboard, mouse, or touch panel, and outputs the operation signal corresponding to the operation input to the server processing unit 200s. In FIG1, the keyboard 1106 or touch panel 1108 corresponds to this.

[0133] The display unit 120s is implemented, for example, as a display device such as an LCD (Liquid Crystal Display) or touch panel, and performs various displays corresponding to the display signal from the server processing unit 200s. In FIG1, the touch panel 1108 corresponds to this.

[0134] The communication unit 130s is implemented as a wired or wireless communication device, and connects to the network 9 to communicate with external devices (e.g., terminal device 1500). For example, it can be implemented via a wireless communication device, modem, TA (terminal adapter), a wired communication cable connector, or control circuit. In FIG1, the communication device 1153 corresponds to this.

[0135] The server processing unit 200s can be implemented using electronic components such as a CPU, GPU, ASIC, FPGA, or IC memory, and performs data input / output control between various parts of the device, including the operation input unit 110s and the server storage unit 500s. Then, based on a predetermined program or data, operation input signals from the operation input unit 110s, data received from the terminal device 1500, etc., various calculations are performed to control the operation of the server system 1100. In FIG1, the control board 1150 or its CPU 1151 corresponds to this.

[0136] In addition, 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.

[0137] The user management unit 211 performs user registration processing and data management processing, and manages the data bound to the registered user ID. In this embodiment, the user management unit 211 manages user data such as the association of each registered user with the user, attribute information or measurement information obtained from the user at any time, and comfort change information. Therefore, the user management unit 211 can also be called the user data management unit.

[0138] The online shopping function unit 213 processes the provision of online shopping services. Registered users can purchase items that they can wear (in this embodiment, shoes that the user wants to wear) using the online shopping function implemented through this processing. In this embodiment, when a registered user logs in, the online shopping function unit 213 displays the product information of the items on the terminal device 1500 in accordance with the browsing operation of the registered user.Instruction manual, pages 14 / 27, CN 122319456 A

[0139] The acquisition unit 215 is a functional unit that performs data acquisition processing. It takes the wearers associated with the registered user as target users and acquires the user data of the target users. When acquiring user data, it also uses a measuring unit or the like to measure the wearing part (foot) of the item (shoes in this embodiment). Then, the acquisition unit 215 acquires measurement information, including shape data or growth change data of the wearing part (foot in this embodiment), or generates comfort change information, based on the measurement results obtained by the measuring unit.

[0140] The estimation unit 217 is a functional unit that performs estimation processing. In this embodiment, when a registered user logs in, the estimation unit 217 takes each of the wearers associated with the registered user as target users and estimates the purchase recommendation date for each item for each target user.

[0141] The recommendation control unit 219 is a functional unit that performs recommendation control processing. In this embodiment, the online shopping function unit 213 displays product information of items on the terminal device 1500 of the registered user who has logged in. The recommendation control unit 219, for example, controls the display of the purchase recommendation date for each target user of the item on the terminal device 1500 and prompts the registered user.

[0142] The server storage unit 500s contains programs required to operate the server system 1100 to realize the various functions of the server system 1100, or data used in the execution of the program, which are either pre-stored or temporarily stored according to the progress of processing. For example, this can be implemented via IC memory such as RAM or ROM, disk such as hard disk, optical disk such as CD-ROM or DVD. In FIG1, IC memory 1152 or storage 1140 corresponds to this.

[0143] In addition, the server storage unit 500s stores server program 501, user management data 510 and item information 540.

[0144] The server program 501 is the program required for the server processing unit 200s to function as the user management unit 211, the online shopping function unit 213, the acquisition unit 215, the estimation unit 217, and the recommendation control unit 219.

[0145] The user management data 510 is prepared for each registered user, and is associated with the registered user ID, storing various management data related to the provision of the online shopping service. Specifically, one set of user management data 510, as shown in FIG16, includes: the registered user ID 511, the registered user name 513, the user data 520, and the purchase history data 535 of the shoes and other items purchased by the registered user.

[0146] Wearing user data 520 is prepared for each wearing user associated with the registered user. One set of wearing user data 520 is associated with wearing user ID 521 and is set with: wearing user name 522, attribute information 523, measurement information 525, measurement date and time (previous measurement time) 531 related to the measurement information 525, and comfort variation information 533 for each item (shoes in this embodiment) (see Figures 4 to 6). Measurement information 525 includes: shape data 527 of the wearing part (foot in this embodiment) and growth change data 529 of the wearing part.

[0147] Item information 540 is prepared for each item and stores various data related to the item. For example, in addition to various specification information or evaluation information used to generate comfort variation information 533 for the item, it also includes information such as price, product image, and availability of stock, which is displayed on the terminal device 1500 as product information.

[0148] 2. Terminal Device

[0149] FIG17 is a block diagram showing an example of the functional configuration of the terminal device 1500. As shown in FIG17, 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.

[0150] The operation input unit 110 outputs operation input signals corresponding to various operation inputs performed by the user to the terminal processing unit 200. For example, it can be implemented via a keyboard, mouse, button switch, joystick, touchpad, trackball, accelerometer, gyroscope, etc. In FIG2, the directional input key 1502 or Home key 1504 and touch panel 1506 correspond to page 15 / 27 of the specification 18 CN 122319456 A.

[0151] The display unit 120 is implemented as a display device such as an LCD (Liquid Crystal Display) or a touch panel, and performs various displays corresponding to the display signals from the terminal processing unit 200. In FIG2, the touch panel 1506 corresponds to this.

[0152] The communication unit 130 is implemented as a wired or wireless communication device, and is connected to the network 9 to communicate with external devices (e.g., server system 1100). It is implemented via a wireless communication device, modem, TA, a connector for a wired communication cable, or control circuit, etc. In FIG2, the wireless communication module 1553 corresponds to this.

[0153] The terminal processing unit 200 can be implemented via an arithmetic circuit such as a CPU, GPU, ASIC, FPGA, i.e., a processor, or an IC memory, and performs data input / output control between various parts of the device, including the operation input unit 110 or the terminal storage unit 500.Then, the terminal processing unit 200 performs various calculations based on a predetermined program or data, operation input signals from the operation input unit 110, and data received from the terminal device 1100, and integrates the control of the terminal device 1500's operation. In FIG2, the control board 1550 or its CPU 1551 corresponds to this.

[0154] In addition, the terminal processing unit 200 includes a client control unit 260. The client control unit 260 performs various controls to enable the terminal device 1500 to function as an MMIF (human-machine interface). The client control unit 260 includes an operation signal transmission control unit 261 and a display control unit 263.

[0155] The operation signal transmission control unit 261 performs processing required to send various data or request information to the server system 1100 in response to operation inputs to the operation input unit 110.

[0156] The display control unit 263 performs control based on data received from the server system 1100 to display the recommended display screen, etc., described with reference to FIGS. 8 to 14 on the display unit 120.

[0157] The terminal storage unit 500 contains programs required to operate the terminal device 1500 and realize the functions of the terminal device 1500, or data used in the execution of the program, which are either pre-stored or temporarily stored according to the progress of processing. For example, this can be achieved via an IC memory such as RAM or ROM, a 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.

[0158] In addition, the terminal storage unit 500 stores a client program 502 (application program) required to enable the terminal device 1500 to function as a client control unit 260.

[0159] [Processing Flow]

[0160] FIG18 is a flowchart showing the processing flow in the server system 1100. The processing described here is implemented by the server processing unit 200s reading and executing the server program 501.

[0161] In this embodiment, the server processing unit 200s accepts the operation of the terminal device 1500 of the logged-in registered user for instructing the acquisition of measurement information. Then, when the operation in the terminal device 1500 is detected (step S1: YES), the acquisition unit 215 performs data acquisition processing to acquire various data, including measurement information, for the target user (step S3). Based on the acquired data, the acquisition unit 215 sets / updates the attribute information 523 or measurement information 525 (shape data 527 and growth change data 529 of the wearing part) and comfort change information 533 of the wearing user data 520 (see FIG16) related to the target user.

[0162] Then, when a registered user has logged in, the estimation unit 217 performs estimation processing, treating the clothing users associated with the registered user as target users in turn, and estimating the recommended purchase date for each item for each target user (step S5).

[0163] In addition, when the online shopping function unit 213 detects a browsing operation of product information performed by a registered user (step S7: YES), it displays the product information of the matching items on the terminal device 1500 (step S9). Then, the recommendation control unit 219 performs recommendation control processing, and displays the recommended purchase date estimated for each target user in step S5 on the terminal device 1500 for the item, performing recommendation date prompt control (step S11). For example, the recommendation control unit 219, as described with reference to FIG8, displays a first predicted change graph representing a predictive change in measurement information based on the measurement information of a first target user and a first indicator representing a point on the first predicted change graph corresponding to a first purchase recommendation date, and a second predicted change graph representing a predictive change in measurement information based on the measurement information of a second target user and a second indicator representing a point on the second predicted change graph corresponding to a second purchase recommendation date on the registered user's terminal device 1500, to perform recommendation date reminder control.

[0164] Then, an end determination is performed in step S13. Before the determination is completed (step S13: NO), the process returns to step S1 and repeats the above-described process.

[0165] As explained above, according to this embodiment, when a registered user has logged in, for each wearer associated with the registered user, the purchase recommendation date for a size larger than the wearer's size is estimated, and the estimated purchase recommendation date for each wearer is displayed on the terminal device 1500, which can then remind the registered user. Accordingly, a size larger than the size of the user who wants to wear the item can be used as the first recommended size, and a prompt indicating the recommended purchase date can be given.

[0166] In addition, when prompting, for example, a predicted change graph formed by graphically representing the growth change data of each user is displayed on the registered user's terminal device 1500, and a point corresponding to the recommended purchase date is indicated on the predicted change graph.For example, when two users are associated with a registered user, as explained with reference to FIG8, the following can be made: the first predicted change graphic G51 associated with the first target user, i.e., the wearer U11, or the first indicator O511 representing the purchase recommendation date (first purchase recommendation date) of item I4, and the second predicted change graphic G53 associated with the second target user, i.e., the wearer U13, or the second indicator O531 representing the purchase recommendation date (second purchase recommendation date) of item I4, and so on, displayed on the terminal device 1500.

[0167] Furthermore, the application of the present invention is not limited to the above-described embodiments, and it is also appropriate to add, omit, or modify the constituent elements.

[0168] [Modification 1]

[0169] For example, in the above embodiment, a size one size larger than the current size is used as the recommended size (first recommended size or second recommended size) to estimate the purchase recommendation date (first purchase recommendation date or second purchase recommendation date). Alternatively, if the recommended purchase date suggested to the registered user has passed and the recommended size item has not yet been purchased, the recommended size will remain unchanged until the comfort level reaches 100, and the recommended purchase date will be set to the day the item was viewed.

[0170] For the case where the user wearing the item U11 is considered the first target user, the example in FIG4 will be used as an example. For example, if the reference time is T11, as described in the above embodiment, the current size is set to the size corresponding to graphic G1-1 (12cm), and the first recommended size is set to the size corresponding to graphic G1-2 (12.5cm). The time point T15, for example, the beginning of the first recommended size comfort period related to the first recommended size (12.5cm), is taken as the first recommended purchase date and suggested to the registered user through the display of the recommendation display screen related to item I1 in FIG8, etc.

[0171] Then, after this prompt, if the registered user browses item I1 at time point T15 (e.g., time point T17) after the reference time, the processing will branch depending on whether item I1 corresponding to the first recommended size (12.5cm) of the previous prompt has been purchased by the registered user. That is, if item I1 of the first recommended size (12.5cm) of the previous prompt has been purchased, then time point T17 is taken as the reference time, and according to the principles of the above embodiment, the current size is set to the size (12.5cm) corresponding to graphic G1-2, and the first recommended size is set to the size (13cm) corresponding to graphic G1-3. Based on the start date of the first recommended size comfort period related to the first recommended size (13cm), the first purchase recommendation date is estimated.On the other hand, if the previously recommended item I1 (12.5cm) has not yet been purchased, then for the period before the comfort level reaches 100, the currently recommended item I1 remains the same as the previously recommended item I1 (12.5cm), and the first purchase recommendation date is set to the browsing date. Then, at a point in time (e.g., time T18) after the previously recommended item I1 (12.5cm) has not been purchased and the comfort level has reached 100, using time T18 as a reference time, the current item I1 (12.5cm) or the first recommended item I1 (13cm) is estimated according to the principles of the above implementation method. Based on the start date of the comfort period associated with the first recommended item I1 (13cm), the first purchase recommendation date is estimated.

[0172] [Modification 2]

[0173] In addition, the above embodiment described an example in which comfort variation information 533 (see Figures 4 to 6) was set for each item (shoes sold in the online shopping service) for each wearer associated with a registered user. Alternatively, comfort variation information could be generated for each wearer for a specific item, and the generated comfort variation information could be used as comfort variation information related to that wearer. In this case, when there is an item browsing operation, the comfort variation information related to the wearer is used to estimate the first recommended size and first comfort period, or the second recommended size and second comfort period, of the item. As for which item's comfort variation information to generate, it can be determined, for example, by separately processing the registration operation for items that the wearer prefers to wear.

[0174] [Modification 3]

[0175] Alternatively, it may be configured such that, for both the first target user and the second target user, a separate purchase recommendation date (hereinafter referred to as "secondary purchase recommendation date") is set and prompted based on the period of the special sale or the date of coupon grant. That is, if there is a scheduled special sale or coupon grant during a predetermined period before or after the first purchase recommendation date (e.g., a period of one month before or after the first purchase recommendation date), these predetermined dates are set as secondary purchase recommendation dates for the first purchase recommendation date. The same applies to the second purchase recommendation date.

[0176] FIG19 is a diagram showing an example of a recommendation display screen in FIG8 where the secondary purchase recommendation date is displayed in the recommendation display screen W5. In FIG19, the same display elements as in FIG8 are labeled with the same reference numerals as in FIG8.As shown in Figure 19, in the recommendation display screen of this example, in the first display area W51 for the first target user (e.g., user U11), an indicator O512 is displayed on the first prediction change graph G51 corresponding to the sub-recommended purchase date of the first purchase recommendation date. Similarly, in the second display area W53 for the second target user (e.g., user U13), an indicator O532 is displayed on the second prediction change graph G53 corresponding to the sub-recommended purchase date of the second purchase recommendation date. Accordingly, the purchase period of the item can be considered, taking into account the time of special sales or coupons.

[0177] [Modification 4]

[0178] In addition, regarding special sales or coupons, the calendar exemplified as the recommendation display screen W10 in Figure 13 can be configured to display the next scheduled date. This can be achieved by displaying the symbols inherent to each scheduled date. Accordingly, the scheduled date of special sales or coupons can be grasped together with the purchase recommendation date (first purchase recommendation date or second purchase recommendation date). Alternatively, the display of various scheduled dates may be configured to occur only when predetermined conditions are met. For example, various scheduled dates may be displayed for users who frequently purchase items during the sale or who frequently use coupons. Conversely, various scheduled dates may be displayed as a special treatment for users who purchase items unrelated to the sale or who do not use coupons.

[0179] [Other] Specification 18 / 27 pages 21 CN 122319456 A

[0180] Although the embodiments or variations of this invention have been described above, these are illustrative, and the invention may be implemented in various modifications and other ways based on the knowledge of those skilled in the art, starting with the manner described in the summary of the invention.

[0181] [Summary]

[0182] The contents disclosed in this specification can be summarized as follows.

[0183] The first approach is

[0184] a computer system for controlling the presentation of recommendation information about an item to a user, the computer system comprising: a recommendation date estimation unit that estimates a first purchase recommendation date for a first item based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of a suitable item for the first target user to wear at the current time; and a recommendation control unit that provides the first purchase recommendation date and additional information for recommending the purchase of the first item.

[0185] The second approach is

[0186] a computer system as described in the first approach, wherein the recommendation date estimation unit estimates a first recommended size comfort period based on the body information of the first target user and the size information of the clothing item, and estimates the first purchase recommendation date based on the first recommended size comfort period.

[0187] The third approach is

[0188] a computer system as described in the second approach, wherein the additional information is based on information from the first recommended size comfort period.

[0189] The fourth approach is

[0190] a computer system as described in the third approach, wherein the additional information is based on information from the end of the first recommended size comfort period.

[0191] The fifth approach is

[0192] a computer system as described in any of the first to fourth approaches, wherein the additional information is information indicating a schedule in which the first item can be purchased cheaply.

[0193] The sixth method is

[0194] a computer system as described in any of the first to fifth methods, wherein the recommendation date estimation unit estimates the purchase recommendation date of the second item, i.e., the second purchase recommendation date, based on the size information of the item, the body information of the second target user related to the wearing part of the item, and the size information of the clothing item suitable for the second target user to wear at the current time, and the recommendation control unit provides the second purchase recommendation date.

[0195] The seventh method is

[0196] a computer system as described in any of the first to sixth methods, wherein the recommendation control unit provides information for displaying a first predictive change graph and a first indicator, wherein the first predictive change graph represents a predictive change in the body information of the first target user, and the first indicator represents a point on the first predictive change graph corresponding to the first purchase recommendation date.

[0197] The eighth method is

[0198] a computer system as in the sixth method, wherein the recommendation control unit provides information for displaying a first predictive change graph, a first indicator, and a display body, the first predictive change graph representing a predictive change in the body information of the first target user, the first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date, and the display body representing the second purchase recommendation date.

[0199] The ninth embodiment is

[0200] a computer system as described in any of the first to eighth embodiments, wherein the computer system further comprises: an online shopping function unit for selling the item in online shopping; and a user data management unit for managing the data of registered users in the online shopping and the data of the first target user to which the registered user is associated, wherein the recommendation control unit performs the control provided at the predetermined purchase time of the registered user.

[0201] The tenth embodiment is

[0202] a computer system as described in the sixth or eighth embodiment, wherein the recommendation date estimation unit estimates a first recommended size comfort period for the first item that is estimated to be comfortable for the first target user, estimates a first purchase recommendation date based on the first recommended size comfort period, estimates a second recommended size comfort period for the second item that is estimated to be comfortable for the second target user, estimates a second purchase recommendation date based on the second recommended size comfort period, and the recommendation control unit provides information for simultaneously displaying the first recommended size comfort period and the second recommended size comfort period.

[0203] The eleventh method is

[0204] a computer system as described in any of the second to fourth methods, wherein the recommendation control unit provides information for establishing an association between the first recommended size and the comfort period of the first recommended size.

[0205] The twelfth method is

[0206] a computer system as described in any of the first to eleventh methods, wherein the recommendation control unit provides information for displaying a predetermined calendar display, and in the calendar display, displaying information of a first identifier on a date that corresponds to the first purchase recommendation date, the first identifier indicating that this is the purchase recommendation date for the first target user.

[0207] The thirteenth approach is

[0208] a computer system for controlling the prompting of recommendation information about an item to a user, the computer system comprising: a recommendation date estimation unit, which uses body information of a first target user related to the wearing part of the item to estimate the purchase recommendation date of the item for the first target user, i.e., a first purchase recommendation date; and a recommendation control unit, which performs recommendation date prompting control based on the first purchase recommendation date, wherein the recommendation control unit includes control for providing information for displaying a first predictive change graph and a first indicator in the recommendation date prompting control, the first predictive change graph representing a predictive change in the body information of the first target user, and the first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date.

[0209] The fourteenth approach is

[0210] a recommendation information provision control method, which is a method for providing recommendation information to a computer system to perform control for providing recommendation information about an item to a user, and performs the following: based on: size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of the item that the first target user is suitable to wear at the current time, to estimate the purchase recommendation date of the first item, i.e., the first purchase recommendation date; and to provide the first purchase recommendation date and additional information required for recommending the purchase of the first item.

[0211] The fifteenth approach is

[0212] a recommendation information provision control method, used by a computer system to perform control for providing recommendation information about an item to a user, the recommendation information provision control method comprising: using body information of a first target user related to the wearing part of the item to estimate the purchase recommendation date of the first target user, i.e., a first purchase recommendation date; and performing recommendation date prompt control based on the first purchase recommendation date, the recommendation date prompt control comprising providing control for displaying information for displaying a first predicted change graph and a first indicator, the first predicted change graph representing a predictive change in the body information of the first target user, and the first indicator representing a point on the first predicted change graph corresponding to the first purchase recommendation date.

[0213] The sixteenth method is

[0214] a program for controlling a terminal device to display recommendation information about an item, the program being used to cause the terminal device to: communicate with a server system, the server system estimating a first purchase recommendation date, i.e., a first purchase recommendation date, based on size information about the size of the item, body information of a first target user related to the wearing part of the item, and size information of the item suitable for the first target user to wear at the current time; and controlling the display of the first purchase recommendation date and additional information required for recommending the purchase of the first item.

[0215] The seventeenth method is

[0216] a program for controlling a terminal device to display recommendation information about an item, the program being used to cause the terminal device to perform: (Pages 21 / 27, CN 122319456 A) communicating with a server system, the server system using body information of a first target user related to the wearing part of the item to estimate the purchase recommendation date of the item for the first target user, i.e., a first purchase recommendation date; display control of a first predictive change graph representing a predictive change in the body information of the first target user; and display control of a first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date.

[0217] Furthermore, the content disclosed in this specification can also be summarized as follows.

[0218] The twenty-first method is

[0219] a computer system for controlling the display of recommended information about items that a user can wear on a terminal device, comprising: an estimation unit that estimates a first recommended purchase date, i.e., a first purchase recommendation date, for an item with a first recommended size larger than the first recommended size, using measurement information of a first target user related to the wearing part of the item and the first target user's size of the item; and a recommendation control unit that performs recommendation date prompt control based on the first recommended purchase date as display control for the terminal device to display the item.

[0220] According to this method, for the first target user, a first recommended purchase date is estimated for an item with a first recommended size larger than their size, and recommendation date prompt control based on the first recommended purchase date can be performed as display control for the terminal device to display the item. Accordingly, a size larger than the first target user's size can be used as the first recommended size, and information indicating the purchase recommendation date can be prompted.

[0221] The twenty-second method is

[0222] a computer system as described in the twenty-first method, wherein the estimation unit estimates a first recommended size comfort period during which the first target user is estimated to be able to comfortably wear the first recommended size, based on the measurement information and the wearing size of the first target user, and estimates the first recommended purchase date based on the first recommended size comfort period.

[0223] According to this method, the first recommended purchase date can be estimated from the first recommended size comfort period during which the first target user is estimated to be able to comfortably wear the first recommended size.

[0224] The twenty-third method is

[0225] a computer system as described in the twenty-first or twenty-second method, wherein the estimation unit uses measurement information of a second target user related to the wearing part of the item being worn, and the wearing size of the second target user wearing the item, to estimate a second recommended purchase date, i.e., a second recommended purchase date, for the item involving a second recommended size larger than the wearing size; the recommendation control unit performs the recommendation date reminder control based on the first recommended purchase date and the second recommended purchase date.

[0226] According to this method, for the second target user, a second recommended purchase date is estimated for the item with a second recommended size larger than their wearing size, and recommendation date reminder control based on the second recommended purchase date can be performed as display control for the terminal device to display.

[0227] The twenty-fourth method is

[0228] a computer system as described in the twenty-third method, wherein the recommendation control unit described on pages 22 / 27 of the specification, CN 122319456 A, performs the recommendation day prompt control by causing the terminal device to display: a first predictive change graph representing a predictive change in the measurement information of the first target user; a first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date; a second predictive change graph representing a predictive change in the measurement information of the second target user; and a second indicator representing a point on the second predictive change graph corresponding to the second purchase recommendation date.

[0229] According to this method, the first predictive change graph representing a predictive change in the measurement information of the first target user can be displayed on the terminal device, and the first indicator representing the first purchase recommendation date can be displayed on the first predictive change graph. In addition, the second predictive change graph representing a predictive change in the measurement information of the second target user can be displayed on the terminal device, and the second indicator representing the second purchase recommendation date can be displayed on the second predictive change graph.

[0230] The twenty-fifth method is

[0231] a computer system as described in the twenty-third method, wherein the recommendation control unit performs the recommendation day prompt control by causing the terminal device to display: a first predictive change graph representing a predictive change in the measurement information of the first target user; a first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date; and a display representing the second purchase recommendation date.

[0232] According to this method, the first predictive change graph representing a predictive change in the measurement information of the first target user can be displayed on the terminal device, and at the same time, the first indicator representing the first purchase recommendation date can be displayed on the first predictive change graph.Additionally, a display indicating the second purchase recommendation date can be shown on the terminal device.

[0233] The twenty-sixth method is

[0234] a computer system as described in any of the twenty-first to twenty-fifth methods, wherein the computer system further comprises: an online shopping function unit for selling the item in online shopping by using the terminal device as a human-machine interface; and a user data management unit for managing the data of registered users in online shopping and the data of the first target user to which the registered user is associated; and a recommendation control unit for performing the recommendation date reminder control at the predetermined purchase time of the registered user.

[0235] According to this method, recommendation date reminder control can be performed at the purchase time of the registered user in online shopping.

[0236] The twenty-seventh method is

[0237] a computer system as described in the twenty-third method, wherein the estimation unit, based on the measurement information and the wearing size of the first target user, estimates a first recommended size comfort period in which the first target user can comfortably wear the first recommended size, and estimates a first recommended purchase 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 in which the second target user can comfortably wear the second recommended size, and estimates a second recommended purchase date based on the second recommended size comfort period; the recommendation control unit controls the simultaneous display of the first recommended size comfort period and the second recommended size comfort period on the terminal device.

[0238] According to this method, the first recommended purchase date can be estimated from the first recommended size comfort period in which the first target user can comfortably wear the first recommended size. Additionally, the first recommended purchase date can be estimated from the second recommended size comfort period, which is estimated to be comfortable for the second target user to wear the second recommended size. Then, the first recommended size comfort period and the second recommended size comfort period can be simultaneously displayed on the terminal device.

[0239] The twenty-eighth method is

[0240] a computer system as in the twenty-seventh method, wherein the recommendation control unit performs control to associate the first recommended size and the first recommended size comfort period and display them on the terminal device, and simultaneously associates the second recommended size and the second recommended size comfort period and displays them on the terminal device.

[0241] According to this method, the first recommended size and the first recommended size comfort period can be associated and displayed on the terminal device, and the second recommended size and the second recommended size comfort period can be associated and displayed on the terminal device.

[0242] The twenty-ninth method is

[0243] a computer system as described in the twenty-third method, wherein the recommendation control unit performs the recommendation day prompt control by displaying a predetermined calendar display on the terminal device, and simultaneously displaying a first identifier indicating that this is a purchase recommendation day for the first target user on the date corresponding to the first purchase recommendation day, and a second identifier indicating that this is a purchase recommendation day for the second target user on the date corresponding to the second purchase recommendation day.

[0244] According to this method, the first identifier can be displayed on the calendar on the date corresponding to the first purchase recommendation day to indicate that this is a purchase recommendation day suitable for the first target user, and the second identifier can be displayed on the date corresponding to the second purchase recommendation day to indicate that this is a purchase recommendation day suitable for the second target user.

[0245] The thirtieth aspect is

[0246] a computer system for controlling the display of recommended information of items that a user can wear on a terminal device, comprising: a first estimation unit that estimates a first purchase recommendation date for the first target user of the item using measurement information of a first target user related to the wearing part of the item; a second estimation unit that estimates a second purchase recommendation date for the second target user of the item using measurement information of a second target user related to the wearing part of the item; and a recommendation control unit that performs recommendation date prompt control based on the first purchase recommendation date and the second purchase recommendation date as display control for causing the terminal device to display; the recommendation control unit causes the terminal device to display: a first prediction change graph representing a predictive change in the measurement information of the first target user; and a first indicator representing a point on the first prediction change graph corresponding to the first purchase recommendation date. A second predictive change graph representing a predictive change in the measurement information of the second target user; and a second indicator representing a point on the second predictive change graph corresponding to the second purchase recommendation date, for performing the recommendation date prompt control.

[0247] In this manner, a first purchase recommendation date suitable for the first target user can be estimated, and a second purchase recommendation date suitable for the second target user can be estimated, and recommendation date prompt control based on the first purchase recommendation date and the second purchase recommendation date can be performed as display control for the terminal device to display.Then, as a recommendation date reminder control, a first predictive change graph representing a predictive change in the measurement information of a first target user can be displayed on the terminal device, and a first indicator representing a first purchase recommendation date can be displayed on the first predictive change graph. Additionally, a second predictive change graph representing a predictive change in the measurement information of a second target user can be displayed on the terminal device, and a second indicator representing a second purchase recommendation date can be displayed on the second predictive change graph.

[0248] The thirty-first method is

[0249] an online shopping system comprising: a server system of a computer system as described in any of the twenty-first to thirty-third methods; and the terminal device.

[0250] According to this method, an online shopping system that performs the same function as the twenty-first to thirty-third methods can be realized.

[0251] The thirty-second method is

[0252] a recommendation information providing control method, which is a method for providing recommendation information for controlling a computer system to display recommendation information of an item that a user can wear on a terminal device. The method performs: using measurement information of a first target user related to the wearing part of the item and the wearing size of the first target user wearing the item, to estimate the purchase recommendation date of the item to which a first recommendation size larger than the wearing size is involved, i.e., a first purchase recommendation date; and performs recommendation date prompt control based on the first purchase recommendation date as a display control for causing the terminal device to display the item.

[0253] According to this method, a recommendation information providing control method that has the same effect as the twenty-first method can be realized.

[0254] The thirty-third method is

[0255] a recommendation information providing control method, which is a method for providing recommendation information for a computer system to perform control to display recommendation information of items that a user can wear on a terminal device, comprising: using measurement information of a first target user related to the wearing part of the item to be worn, to estimate the purchase recommendation date of the item for the first target user, i.e., a first purchase recommendation date; using measurement information of a second target user related to the wearing part of the item to be worn, to estimate the purchase recommendation date of the item for the second target user, i.e., a second purchase recommendation date; and performing recommendation date prompt control based on the first purchase recommendation date and the second purchase recommendation date as a display control for causing the terminal device to display, wherein the recommendation date prompt control comprises causing the terminal device to display: a first predictive change graph representing a predictive change of the measurement information based on the measurement information of the first target user; and a first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date. A second predictive change graph representing a predictive change in the measurement information of the second target user; and a second indicator representing a point on the second predictive change graph corresponding to the second purchase recommendation date.

[0256] According to this method, a recommendation information providing control method that achieves the same effect as the twentieth method can be realized.

[0257] The thirty-fourth method is

[0258] a program for controlling a terminal device to display recommendation information of items that a user can wear, the program for causing the terminal device to perform: communicating with a server system, the server system using measurement information of a first target user related to the wearing part of the item and the wearing size of the first target user wearing the item, to estimate the purchase recommendation date of the item involving a first recommendation size larger than the wearing size, i.e., a first purchase recommendation date; and performing recommendation date prompt control based on the first purchase recommendation date.

[0259] According to this method, a program that achieves the same effect as the twenty-first method can be realized.

[0260] The thirty-fifth approach is

[0261] a program for controlling a terminal device to display recommended information about items that a user can wear, the program causing the terminal device to perform: communicating with a server system that uses measurement information of a first target user related to the wearing part of the item to estimate the purchase recommendation date of the item for the first target user, i.e., a first purchase recommendation date, and uses measurement information of a second target user related to the wearing part of the item to estimate the purchase recommendation date of the item for the second target user, i.e., a second purchase recommendation date; display control of a first predictive change graph representing a predictive change in the measurement information of the first target user; display control of a first indicator representing a point on the first predictive change graph corresponding to the first purchase recommendation date; display control of a second predictive change graph representing a predictive change in the measurement information of the second target user; and display control of a second indicator representing a point on the second predictive change graph corresponding to the second purchase recommendation date.

[0262] According to this approach, a program that achieves the same effect as the thirtyth approach can be implemented.

[0263] Explanation of reference numerals

[0264] 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 change information, 535: Purchase history data, 540: Specification page 26 / 27 29 CN 122319456 A 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 storage unit, 502: Client program, 9: Network.Instruction manual, page 27 / 27, 30 CN 122319456 A, Figure 1; Instruction manual, Figure 1 / 19, page 31 CN 122319456 A, Figure 2; Instruction manual, Figure 2 / 19, page 32 CN 122319456 A, Figure 3; Instruction manual, Figure 3 / 19, page 33 CN 122319456 A, Figure 4; Instruction manual, Figure 4 / 19, page 34 CN 122319456 A, Figure 5; Instruction manual, Figure 5 / 19, page 35 CN 122319456 A, Figure 6; Instruction manual, Figure 6 / 19, page 36 CN 122319456 A, Figure 7; Instruction manual, Figure 7 / 19, page 37 CN 122319456 A, Figure 8; Instruction manual, Figure 8 / 19, page 38 CN 122319456 A, Figure 9; Instruction manual, Figure 9 / 19, page 39 CN 122319456 A, Figure 10. Figure 11 of Figure 12 of Figure 13 of Figure 14 of Figure 15 of Figure 16 of Figure 17 of Figure 18 of Figure 19 ... 122319456 A.

Claims

1. A computer system for controlling the presentation of recommended information about items to a user, the computer system comprising: The recommendation date estimation unit estimates the purchase recommendation date, i.e., the first purchase recommendation date, of the first item based on size information about the item's dimensions, body information of a first target user related to the part of the body where the item is worn, and the size information of an item suitable for the first target user to wear at the current time; and The recommendation control unit provides the first purchase recommendation date and additional information for recommending the purchase of the first item.

2. The computer system according to claim 1, wherein, The recommendation date estimation unit estimates the first recommended purchase date based on the body information of the first target user and the size information of the clothing item, and estimates a first recommended size comfort period during which the first target user can comfortably wear a first recommended size that is larger than the size information of the clothing item.

3. The computer system according to claim 2, wherein, The additional information is based on information obtained during the period when the first recommended size was comfortable.

4. The computer system according to claim 3, wherein, The additional information is based on information at the end of the first recommended size comfort period.

5. The computer system according to any one of claims 1 to 4, wherein, The additional information is information about the schedule on which the first item can be purchased at a low price.

6. The computer system according to any one of claims 1 to 5, wherein, The recommendation date estimation unit estimates the purchase recommendation date, i.e., the second purchase recommendation date, based on the size information of the item, the body information of the second target user related to the wearing part of the item, and the size information of the item suitable for the second target user to wear at the current time. The recommendation control department will provide the second purchase recommendation date.

7. The computer system according to any one of claims 1 to 6, wherein, The recommendation control unit provides information for displaying a first predicted change graph and a first indicator. The first predicted change graph represents the predictive changes in the physical information of the first target user. The first indicator represents a point on the first predicted change graph corresponding to the first purchase recommendation date.

8. The computer system according to claim 6, wherein, The recommendation control unit provides information for displaying the first predicted change graph, the first indicator, and the display. The first predicted change graph represents the predictive changes in the physical information of the first target user. The first indicator represents a point on the first predicted change graph corresponding to the first purchase recommendation date. The display indicates the second recommended purchase date.

9. The computer system according to any one of claims 1 to 8, wherein, The computer system also has: The online shopping function is used to sell the aforementioned items in online shopping; and The user data management department manages the data of registered users in the online shopping process and the data of the first target user with whom the registered user is associated. The recommendation control unit performs the control to provide the service at the pre-determined purchase time of the registered user.

10. The computer system according to claim 6 or 8, wherein, The recommended date estimation department The first recommended purchase date is estimated based on a first recommended size comfort period, which is estimated to be suitable for the first target user to wear the first item comfortably. The second recommended size comfort period for the second item, which is estimated to be comfortable for the second object user, is used to estimate the second recommended purchase date. The recommendation control unit provides information for simultaneously displaying the comfort period of the first recommended size and the comfort period of the second recommended size.

11. The computer system according to any one of claims 2 to 4, wherein, The recommendation control unit provides information for establishing a correlation between the first recommended size and the comfort period of the first recommended size.

12. The computer system according to any one of claims 1 to 11, wherein, The recommendation control unit provides a calendar display for displaying a predetermined calendar, and in the calendar display, displays information of a first identifier on the date that matches the first purchase recommendation date, the first identifier indicating that this is the purchase recommendation date of the first target user.

13. A computer system for controlling the presentation of recommendations about items to a user, the computer system comprising: The recommendation date estimation unit uses body information of a first target user related to the part of the body where the item is worn to estimate the purchase recommendation date, i.e., the first purchase recommendation date, for the first target user; and The recommendation control unit executes recommendation date reminder control based on the first purchase recommendation date. The recommendation control unit includes the control for displaying the first predicted change graph and the first indicator in the recommendation day reminder control. The first predicted change graph represents the predictive changes in the physical information of the first target user. The first indicator represents a point on the first predicted change graph corresponding to the first purchase recommendation date.

14. A method for providing recommendation information, used by a computer system to perform control for providing recommendation information about items to a user, the method for providing recommendation information performing: Based on size information about the item, body information of a first target user related to the part of the body where the item will be worn, and the size information of the item suitable for the first target user to wear at the current time, the purchase recommendation date for the first item is estimated, i.e., the first purchase recommendation date; and Provide the first purchase recommendation date and additional information for recommending the purchase of the first item.

15. A method for providing recommendation information, used by a computer system to perform control for providing recommendation information about items to a user, the method comprising: Using the body information of a first target user related to the part of the body where the item is worn, the first target user’s recommended purchase date for the item, i.e., the first recommended purchase date, is estimated. as well as Implement recommendation date reminder control based on the first purchase recommendation date. The recommended day reminder control includes providing control for displaying information for a first predicted change graph and a first indicator. The first predicted change graph represents the predictive changes in the physical information of the first target user. The first indicator represents a point on the first predicted change graph corresponding to the first purchase recommendation date.

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