Information processing device, information processing method, and information processing program

Abstract

To provide an information processing device allowing posters to determine whether or not a fashion initiative is likely to lead to conversion before posting.SOLUTION: An information processing device includes an acquisition unit, a first display unit, and a second display unit. The acquisition unit acquires a captured image of a poster to which a fashion initiative has been applied. The first display unit displays at least one thumbnail image of a model to which the fashion initiative is applied. When the poster specifies the thumbnail image, the second display unit displays an image, with the fashion initiative applied to the model.SELECTED DRAWING: Figure 6

Description

【Technical Field】 【0001】 The present invention relates to an information processing apparatus, an information processing method, and an information processing program. 【Background Art】 【0002】 Conventionally, a technique for displaying an image to which a fashion measure such as a contributor's makeup is applied is known. For example, a technique for displaying an image of a user to which a fashion measure is applied by allowing the user to specify a captured image of the contributor is known. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent No. 7308317 【Non-Patent Documents】 【0004】 【Non-Patent Document 1】 W. Jiang, S. Liu, C. Gao, J. Cao, R. He, J. Feng, S. Yan “PSGAN: Pose and Expression Robust Spatial-Aware CAN for Customizable Makeup Transfer”, [online], [searched on April 5, 2024], Internet <https: / / openaccess.thecvf.com / content_CVPR_2020 / html / Jiang_PSGAN_Pose_and_Expression_Robust_Spatial-Aware_GAN_for_Customizable_Makeup_CVPR_2020_paper.html> 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0005】 However, while conventional technology can improve user-side usability, there was room for further improvement in improving user-side usability for content creators. For example, conventional technology had room for further improvement in making it easier for content creators to satisfy their need for financial or emotional recognition, such as wanting to share their fashion strategies with others. Also, for example, conventional technology had room for further improvement in enabling content creators to judge before posting whether or not their fashion strategies are likely to lead to conversions. 【0006】 This application was made in view of the above, and aims to enable posters to determine before posting whether or not a fashion strategy is likely to lead to conversions. [Means for solving the problem] 【0007】 The information processing device according to the present application is characterized by comprising: an acquisition unit that acquires a photograph taken by a poster to which a fashion policy has been applied; a first display unit that displays at least one thumbnail image of a model to which the fashion policy has been applied; and a second display unit that, when the poster specifies the thumbnail image, displays an image in which the fashion policy has been applied to the model. [Effects of the Invention] 【0008】 According to one embodiment of the system, it has the effect of enabling posters to determine before posting whether or not a fashion campaign is likely to lead to conversions. [Brief explanation of the drawing] 【0009】 [Figure 1] Figure 1 shows an example of the configuration of an information processing system according to an embodiment. [Figure 2A] Figure 2A shows an example of the overall flow of the user interface on the poster's side. [Figure 2B] Figure 2B shows an example of the overall flow of the user interface on the user's side. [Figure 3] Figure 3 shows an example of information processing according to the embodiment. [Figure 4] Figure 4 shows an example of a preview screen according to the embodiment. [Figure 5] Figure 5 shows an example of the configuration of a terminal device according to this embodiment. [Figure 6] Figure 6 shows an example of the configuration of an information processing device according to the embodiment. [Figure 7] Figure 7 shows an example of a model information storage unit according to the embodiment. [Figure 8] Figure 8 shows an example of an evaluation information storage unit according to the embodiment. [Figure 9] Figure 9 is a flowchart (1) showing an example of information processing according to the embodiment. [Figure 10] Figure 10 is a flowchart (2) showing an example of information processing according to the embodiment. [Figure 11] Figure 11 is a hardware configuration diagram showing an example of a computer that implements the functions of an information processing device. [Modes for carrying out the invention] 【0010】 The following describes in detail, with reference to the drawings, the embodiments for implementing the information processing device, information processing method, and information processing program according to the present application (hereinafter referred to as "embodiments"). Note that these embodiments do not limit the information processing device, information processing method, and information processing program according to the present application. Furthermore, the same parts are denoted by the same reference numerals in each of the following embodiments, and redundant descriptions are omitted. 【0011】 (Embodiment) [1. Configuration of the Information Processing System] The information processing system 1 shown in FIG. 1 will be described. As shown in FIG. 1, the information processing system 1 includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are communicably connected by wire or wirelessly via a predetermined communication network (network N). FIG. 1 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. 【0012】 The terminal device 10 is an information processing device used by a contributor who desires to spread his / her own fashion measures (such as makeup) to others via an SNS or the like. The contributor who uses the terminal device 10 is, for example, an influencer who uses the Internet to transmit his / her own fashion measures. For example, an influencer who distributes videos related to his / her own fashion measures. The terminal device 10 may be any device as long as it can realize the processing in the embodiment. Further, the terminal device 10 may be a device such as a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, or a PDA. FIG. 3 shows a case where the terminal device 10 is a smartphone. 【0013】 The terminal device 10 is, for example, a smart device such as a smartphone or a tablet, and is a portable terminal device that can communicate with an arbitrary server device via a wireless communication network such as 3G to 5G (Generation) or LTE (Long Term Evolution). Further, the terminal device 10 has a screen such as a liquid crystal display, and has a screen having a touch panel function, and may receive various operations on display data such as content, such as a tap operation, a slide operation, and a scroll operation, from a contributor using a finger or a stylus. In FIG. 3, the terminal device 10 is used by the contributor U1. 【0014】 The information processing device 100 is an information processing device aimed at facilitating the satisfaction of the financial or mental approval desires of the poster side, such as the desire to spread one's own fashion measures to others, and enabling the poster to determine before posting whether the fashion measures are likely to lead to conversion. It is also an information processing device aimed at promoting the improvement of user usability on the poster side. The information processing device 100 can be any device as long as it can realize the processing in the embodiment. For example, the information processing device 100 can be realized by a server device, a cloud system, etc. that provide a predetermined service (which may be a web service or an app service) that enables posting (registration) of fashion measures, virtual try-on, etc. In the following embodiment, Service W1 is used as an example of such a service. That is, Service W1 is a predetermined service that enables posting of fashion measures and virtual try-on, etc. 【0015】 There may be cases where one wants to spread one's own fashion measures to others. Also, there may be cases where one wants to make a judgment before posting on what kind of fashion measures can lead to conversion (for example, lead to a purchase or get others to try on) in order to spread one's own fashion measures to others. However, in the conventional technology, for example, it was not possible to make a judgment before posting on what kind of fashion measures can lead to conversion among one's own followers, etc. 【0016】 This application has been made in view of the above, and for example, aims to facilitate the satisfaction of the financial or mental approval desires of the poster side, such as the desire to spread one's own fashion measures to others, and enable the poster to determine before posting whether the fashion measures are likely to lead to conversion. 【0017】 In the following embodiment, the application of fashion measures may include not only actual actions but also actions performed virtually. That is, it may be an action actually performed by the poster in the real world or an action performed virtually through an avatar or the like. 【0018】 ​ In the following embodiment, we will explain using the example of a user posting facial makeup as an example of a fashion strategy, but fashion strategies are not limited to facial makeup. Fashion strategies may include, for example, hair makeup such as hairstyles and hair color, or they may not be limited to makeup but may include trying on clothing (clothing is not limited to dresses or gowns, but may include shoes, socks, accessories, watches, jewelry, etc.) (trying on clothes may be in the real world or virtually) and coordinating outfits. In the following embodiment, we will explain the process on the side of the user who posts the fashion strategy, rather than the process on the side of the user who applies the fashion strategy. On the side of the user who posts the fashion strategy, for example, they may take a picture (scan) of their face after applying the fashion strategy and register the items used. On the side of the user who applies the fashion strategy, for example, they may specify the poster's posted information, try on the fashion strategy (full makeup, etc.), and if they like it, purchase the items used (the items used for that full makeup). 【0019】 Figure 2A shows an example of the overall flow of the user interface for posters. When poster U1 clicks "Register" at the bottom of the first screen from the left, the user moves to the second screen from the left. After reading the precautions and agreeing to the terms of service (if it's the first time), the user moves to the third screen from the left. When the user takes photos of their face from multiple angles on the makeup shooting screen, the user moves to the fourth screen from the left. After checking the preview screen to see how the captured makeup looks, the user moves to the fifth screen from the left. Finally, on this screen, the user enters a thumbnail image and post text, links the items used, and posts the information, making the post public. 【0020】 Figure 2B shows an example of the overall flow of the user interface on the user's side. On the first screen from the left, user P1 selects a makeup look they are interested in, which transitions to the second screen from the left. If user P1 selects "Try Makeup" on this screen, the user transitions to the third screen from the left. On this screen, user P1 can try on registered makeup looks on their own face and view the items used. Furthermore, if user P1 selects "HOW TO" on the second screen from the left, the user transitions to the fourth screen from the left. On this screen, they can view a makeup tutorial video. For example, a web view might launch within the app and play the video. 【0021】 Figure 3 is a diagram illustrating an example of information processing in the information processing system 1 according to the embodiment. Figure 3 describes an example of information processing on the side of a poster who posts fashion tips. Poster U1 uploads their makeup information to a predetermined service (service W1) provided by the information processing device 100 (step S11). Makeup information may be, for example, information of the poster's makeup (still image, etc.), or information explaining how to apply makeup, such as the order and volume of makeup (moving image, etc.). Makeup information may also be, for example, mask information, which is the makeup applied to the poster's face, or cosmetic information linked to the posting information. Note that mask information may be information about the poster's face after applying makeup, or information about the makeup itself obtained from the difference between the poster's face after applying makeup and the poster's bare face. Poster U1 uploads, for example, a face image taken of their face with makeup applied to service W1. At this time, poster U1 may, for example, register the items used for makeup linked to their makeup information. For example, the information processing device 100 may instruct poster U1 to register the items used for makeup so that they are linked to the makeup information performed by poster U1. In this case, for example, the information processing device 100 may identify the makeup information by extracting mask information from the posted information. 【0022】 The information processing device 100 may, when a user specifies the posted information of poster U1, perform processes such as applying the makeup information associated with the posted information to the user's face image, or perform processes such as enabling the purchase of the items used for the makeup. The following explanation uses a photographed image G1 (which may be a still image or a moving image) as an example of posted information. For example, when a user P1 (such as a follower of poster U1) who has viewed the photographed image G1 specifies the photographed image G1, the device may enable the application of the makeup information used during the shooting of the photographed image G1, or provide a link to a website where the items used can be purchased. The following explanation describes the preview screen (pre-post preview screen) that is displayed when poster U1 uploads a photographed image G1 of their own makeup to service W1. Note that when poster U1 allows (accepts) posting (registration) on the preview screen (screen C1), it becomes public and viewable. Furthermore, the preview screen is a screen that allows users to check how their makeup looks when they apply it to multiple face types (such as fresh, cute, feminine, cool, and androgynous male features) before they finish taking photos of their makeup and post them online. 【0023】 Figure 4 shows an example of a preview screen according to the embodiment. Screen C1 is a preview screen before posting a captured image G1. That is, it is a preview screen displayed by the poster before posting. On screen C1, the captured image (captured image G1) taken by poster U1 after applying makeup is displayed at the top (main). Screen C1 also includes a button B1 that allows the user to retake the photo if they want to change the captured image, and a button B2 that allows the user to post the captured image. When button B1 is operated (clicked or tapped, etc.), the user returns from the preview screen to the shooting screen. If the user takes the photo again, they return to the preview screen, and the newly captured image is displayed at the top. When button B2 is operated, the captured image G1 is posted. In this case, the captured image G1 is made public and can be viewed by poster U1's followers, etc. Furthermore, the submitted photograph G1 may be made viewable, as may the information submitted along with the photograph G1 (for example, items used) or information registered in conjunction with the submitter U1 (for example, a separately registered thumbnail image) be made viewable. 【0024】 Furthermore, screen C1 includes thumbnail images representing at least one face type. In Figure 4, from left to right, these include thumbnail image SG1 representing the "Fresh" face type, thumbnail image SG2 representing the "Cute" face type, thumbnail image SG3 representing the "Feminine" face type, thumbnail image SG4 representing the "Cool" face type, and thumbnail image SG5 representing the "androgynous male" face type. In Figure 4, these thumbnail images SG1 to SG5 are superimposed on the captured image G1. This allows for the display of four female face images corresponding to the four types and one androgynous male face image, enabling users to check how the captured makeup looks on each image when trying them on. 【0025】 Furthermore, these thumbnail images SG1 through SG5 are selectable. For example, if thumbnail image SG1 is manipulated, thumbnail image SG1 is selected. In this case, the makeup information of poster U1 (the makeup information used in the photographed image G1) is applied to the face image of thumbnail image SG1. Then, the face image of thumbnail image SG1 with poster U1's makeup information applied is displayed at the top. As a result, poster U1 can check on the preview screen what their makeup would actually look like (whether it suits them, etc.) on the "Fresh" face type. Similarly, for example, if thumbnail image SG2 is manipulated, thumbnail image SG2 is selected. In this case, the makeup information of poster U1 is applied to the face image of thumbnail image SG2. Then, the face image of thumbnail image SG2 with poster U1's makeup information applied is displayed at the top. As a result, poster U1 can check on the preview screen what their makeup would actually look like on the "Cute" face type. By displaying the preview screen in this way, users can check before posting, for example, what kind of makeup suits which face type, or what kind of face type their own makeup actually suits. They can also check before posting whether their post is appealing to users with their target face type, or whether their post is appealing to their followers. The model faces in thumbnail images SG1 to SG5 are selection candidates to which poster U1 can apply makeup information, and the model face image to which poster U1 has selected a thumbnail image and applied makeup information is displayed at the top of screen C1 (step S12). 【0026】 The number of thumbnail images and face types that can be displayed on screen C1 are not limited to this example. It is not limited to the five thumbnail images SG1 to SG5 shown in Figure 4. For example, there may be another thumbnail image hidden to the right of thumbnail image SG5, which can be displayed by scrolling. Furthermore, the display method of these thumbnail images is not limited to the example shown in Figure 4, and they may be displayed in any manner. Also, it is not limited to the face types "Fresh," "Cute," "Feminine," "Cool," and "Androgynous Male." For example, the face type of the thumbnail image displayed on screen C1 may differ each time depending on the poster U1's face type and makeup information. For example, the face type of the thumbnail image displayed on screen C1 may differ each time the makeup is slightly changed and the photo is retaken. 【0027】 The following explains the process of extracting face types from thumbnail images displayed on screen C1. Figure 4 shows thumbnail images of five face types: "Fresh," "Cute," "Feminine," "Cool," and "Androgynous Male." We will now explain how these five face types were extracted. 【0028】 The information processing device 100 acquires the captured image to be displayed on screen C1 (preview screen before posting) (step S101). In the examples of Figures 3 and 4, the captured image G1 is acquired. The information processing device 100 then extracts at least one thumbnail image of a model that is a candidate to which makeup information is applied, based on predetermined conditions (step S102). In the examples of Figures 3 and 4, thumbnail images SG1 to SG5 are extracted. The information processing device 100 then displays the extracted thumbnail images in a predetermined area of ​​screen C1 (overlaid on the captured image) (step S103). In the examples of Figures 3 and 4, they are displayed in area R1. If a thumbnail image is selected, the information processing device 100 generates a model face image to which makeup information has been applied from the model face image of that thumbnail image (step S104). The information processing device 100 then displays the generated model face image at the top of screen C1 (step S105). 【0029】 In step S104, as an example of a method for generating a model face image to which makeup information has been applied, one example is the PSGAN (Pose and Expression Robust Spatial-Aware Generative Adversarial Network) disclosed in Non-Patent Literature 1, which moves only the makeup information from one face image to another. This method uses deep learning and can move only the makeup information to another face regardless of facial expression or pose. The information processing device 100 uses a method such as PSGAN to apply the same makeup used by poster U1 in the poster U1's posted information to the model face image. Specifically, the information processing device 100 generates makeup information to apply the same makeup as poster U1 and applies the generated makeup information to the model face image. Then, in step S105, the information processing device 100 generates a model face image to which the makeup information has been applied in this way and displays the generated model face image at the top of screen C1. 【0030】 Here, we will describe the process of extracting at least one item based on predetermined conditions in step S102. The information processing device 100 performs the extraction process in step S102 based on various conditions. As an example of the extraction process, we will explain three patterns using the degree to which the makeup suits the model, the poster's follower information, and the model's login information, but the process is not limited to the following examples. 【0031】 (When using the degree to which the makeup suits you) The information processing device 100 may, for example, perform extraction processing based on the degree to which the makeup suits the face type of the model in the thumbnail image. For example, the information processing device 100 may extract thumbnail images in order of models with high evaluations (scores) indicating the degree to which the makeup applied by poster U1 suits the model. For example, the information processing device 100 may extract thumbnail images by using machine learning to estimate the degree to which the makeup suits the model's face image to which the makeup information has been applied. For example, the information processing device 100 may extract thumbnail images by using a machine learning model in which poster U1 has evaluated the face image to which the makeup information has been applied as follows: positive examples are used when U1 evaluated it as "suitable" and negative examples are used when U1 evaluated it as "unsuitable". 【0032】 The information processing device 100 may, for example, evaluate the degree to which the makeup suits the user by having user U1 select (or specify) the face type of a model that they judge to suit their own makeup on screen C1, and then learning the selected face type and makeup information together. For example, the information processing device 100 may use the selected face type and makeup information combination as a positive example in machine learning, or use the unselected face type and makeup information combination as a negative example in machine learning. Then, the information processing device 100 may, for example, input the makeup information into the machine-learned model to estimate the face type that suits the user. Alternatively, the information processing device 100 may, for example, use the information registered in the tried-on state on screen C1 as a positive example in machine learning, without having user U1 select a model's face type. 【0033】 The information processing device 100 may, for example, extract thumbnail images in order of models whose face type is similar to that of the poster U1. For example, if the poster U1's face type is "Cute", the information processing device 100 may prioritize extracting thumbnail images of models whose face type is "Cute". 【0034】 (When using the poster's follower information) The information processing device 100 may, for example, perform extraction processing based on the follower information of poster U1. For example, the information processing device 100 may prioritize the extraction of thumbnail images of models whose face type is the same as or similar to that of poster U1's followers. Alternatively, the information processing device 100 may prioritize the extraction of thumbnail images of models whose face type is of interest to or preferred by poster U1's followers. Furthermore, the information processing device 100 may limit the extraction processing to followers who are estimated to be likely to lead to conversions such as purchases or views. In this case, for example, the information processing device 100 may use a model that has learned the relationship between a user's try-on history, purchase history, browsing history, etc., and whether or not that user has achieved a predetermined conversion such as making a purchase or viewing predetermined content, to estimate the probability of conversions such as purchases or views, and estimate followers who are likely to lead to conversions based on the estimated probability of conversions. 【0035】 Furthermore, the information processing device 100 may perform extraction processing based on, for example, the face images of followers rather than the model. The information processing device 100 may also perform extraction processing based on, for example, the face images of a model generated based on the face images of followers (such as the face images of a model generated based on a generation AI). In this case, the information processing device 100 may, for example, use the face image of the follower with the most purchases, views, try-ons, or followers, or it may use the average face image of multiple followers. This makes it possible to effectively encourage try-ons by, for example, using the face images of followers with a large number of followers. 【0036】 (When using the model's login information) The information processing device 100 may, for example, perform extraction processing based on login information (such as the number of logins or whether the user is a new registrant) of the candidate models displayed on screen C1. For example, the information processing device 100 may prioritize extracting thumbnail images of models with a high number of logins. The models may, for example, be the same as or similar to the face type of a user with a high number of logins, or the same as or similar to the face type of a user with a high number of logins who is interested in them, or even the user with a high number of logins themselves. Furthermore, a high number of logins is not limited to a high number of logins, but may also include a high number of users. For example, the information processing device 100 may prioritize extracting thumbnail images of models that are estimated to be highly likely to have makeup information applied by poster U1. For example, the information processing device 100 may prioritize extracting thumbnail images of models that are estimated to be highly likely to have poster U1's makeup information applied when poster U1 makes a post. For example, the information processing device 100 may prioritize extracting thumbnail images of models that are new registrants to service W1. Furthermore, for example, the information processing device 100 may prioritize extracting thumbnail images of models who have logged in within a predetermined period (such as recently). 【0037】 The above describes the process of extracting thumbnail images of models who are candidates to which makeup information is applied. For example, the predetermined conditions for extracting thumbnail images have been explained. Below, the process of determining the display manner of the thumbnail images after such extraction (display order (sorting order), highlighting, display of additional information such as face type and follower information, etc.) will be explained. Specifically, the process of determining the display manner of the thumbnail images when displaying the thumbnail images in a predetermined area of ​​screen C1 in step S103 will be explained. The information processing device 100 determines the display manner of the thumbnail images for step S103 based on various conditions. As an example of the process of determining the display manner, three patterns will be explained as examples, similar to the extraction process described above: using the degree to which the makeup suits the model, using the poster's follower information, and using the model's login information. However, the process is not limited to the following examples. Also, explanations similar to those of the extraction process described above will be omitted as appropriate. 【0038】 (When using the degree to which the makeup suits you) The information processing device 100 may, for example, determine the display mode based on how well the makeup suits the face type of the model in the thumbnail image. For example, the information processing device 100 may determine the display mode so that thumbnail images of models with a high rating indicating how well the makeup applied by poster U1 suits them are given priority display (e.g., displayed higher, first, or highlighted). Alternatively, the information processing device 100 may determine the display mode so that thumbnail images of models with a similar face type to that of poster U1 are given priority display. Furthermore, the information processing device 100 may, for example, subdivide the face type (e.g., subdivide the face into parts such as eyes and lips) and then determine the display mode. In this way, processing may be performed using types based on subdivided face parts rather than overall face types such as cute or cool. The information processing device 100 may, for example, determine the display mode so that thumbnail images of models with a high rating for each of the subdivided face types are given priority display. In this case, the information processing device 100 may, for example, decide to highlight the images so that they are displayed as suitable in a pop-up. For example, instead of determining the type of face based on the entire face, a specific facial feature may be used, and the display may be prioritized based on the evaluation of that specific facial feature. For instance, if the specific facial feature is the eyes, thumbnail images of models with cool eyes may be displayed on the preview screen along with thumbnail images of models with cute eyes. Similarly, if the specific facial feature is the lips, thumbnail images of models with cute lips and thumbnail images of models with cool lips may be displayed on the preview screen. Furthermore, in this case, for example, to display thumbnail images of models with cute eyes on the preview screen, only thumbnail images of models with cute eyes may be extracted and displayed, and to display thumbnail images of models with cool eyes on the preview screen, only thumbnail images of models with cool eyes may be extracted and displayed. 【0039】 (When using the poster's follower information) The information processing device 100 may, for example, determine the display mode based on the follower information of poster U1. For example, the information processing device 100 may determine the display mode based on the face type of poster U1's followers. For example, the information processing device 100 may determine the display mode so that thumbnail images of models with the same or similar face type as poster U1's followers are displayed with priority. Alternatively, for example, the information processing device 100 may determine the display mode based on the proportion of face types among poster U1's followers. For example, if the proportion of "Cute" face types among poster U1's followers is high, the information processing device 100 may determine the display mode so that thumbnail images of "Cute" models are displayed with priority. Alternatively, for example, if the proportion of "Cute" face types among poster U1's followers is high, the information processing device 100 may determine the display mode so that thumbnail images of "Cute" models are displayed in multiple patterns. Furthermore, for example, if there are multiple face types that account for a large proportion, the information processing device 100 may subdivide the face types and perform the process of determining the display mode. 【0040】 In this case, the information processing device 100 may decide to highlight the information, for example, by displaying "Follower Type" in a pop-up. For example, the information processing device 100 may decide to highlight the information, for example, by displaying "Follower Face Type" in a pop-up (displaying that it is a follower's face type), or by highlighting the information, for example, by displaying the number of followers for each face type. For example, the information processing device 100 may decide to highlight the information by changing the color or thickness of the frame of the thumbnail image. In addition, the information processing device 100 may decide to prioritize the display, for example, by displaying it higher up. For example, the information processing device 100 may decide to prioritize the display, for example, by displaying face types with a high conversion rate (such as the likelihood of trying on clothes) higher up. This allows poster U1 to check which followers are engaging. In addition, the information processing device 100 may decide to notify followers who match the face type selected by poster U1 that new makeup information has been posted when poster U1 posts makeup information. 【0041】 Furthermore, the information processing device 100 may decide to highlight by displaying, for example, the face image of a follower rather than the model. The information processing device 100 may also decide to highlight by displaying, for example, the face image of a model generated based on the face images of the followers (such as the face image of a model generated based on a generation AI). In this case, the information processing device 100 may use, for example, the face image of the follower with the most purchases, views, try-ons, or followers, or it may use the average face image of multiple followers. This makes it possible to effectively encourage try-ons by, for example, using the face image of a follower with a large number of followers. 【0042】 (When using the model's login information) The information processing device 100 may, for example, determine the display mode based on the login information of the candidate model displayed on screen C1. For example, the information processing device 100 may determine the display mode based on the number of logins for the model. As with the extraction process described above, the model may be, for example, a model identical or similar to the face type of a user with a high number of logins, a model identical or similar to the face type of a user with a high number of logins who is interested in it, or the user with a high number of logins themselves. Furthermore, a high number of logins is not limited to a high number of logins, but may also include a high number of users. For example, the information processing device 100 may determine the display mode so that thumbnail images of models with a high proportion of logins for the model are given priority. Also, for example, if there are multiple face types with a high proportion of logins for the model (such as multiple face types exceeding a predetermined threshold), the information processing device 100 may subdivide the face types and determine the display mode. In this case, the information processing device 100 may decide to highlight the model, for example, by displaying "High possibility of trying on makeup!" in a pop-up. Furthermore, for example, the information processing device 100 may determine the display mode so that the thumbnail image of a model who is a new registrant to service W1 is displayed preferentially. 【0043】 The process for determining the display mode of thumbnail images has been explained above. Once the information processing device 100 has determined the display mode of the thumbnail images, it displays the thumbnail images in a predetermined area of ​​screen C1 in the determined display mode. 【0044】 (Information Processing Variation 1: Fashion Policy) In the above embodiment, makeup was used as an example of a fashion measure, but the example is not limited to this one. For example, it could be hair makeup such as hairstyle and hair color, or it could be clothing try-on and coordination. This would allow, for example, in the case of hair makeup, to select a model that suits the hair makeup posted by poster U1, or to subdivide the hair makeup posted by poster U1 and select a model from there. 【0045】 (Information processing variation 2: Friend setting) In the above embodiment, the example given was that the model for the thumbnail image is a follower of poster U1, but the invention is not limited to this example. The model for the thumbnail image may be, for example, only users who have a predetermined relationship with poster U1. For example, it may be only users who have been given permission to share (e.g., users who have been added as friends). This makes it possible to display only the faces of users who have been given permission to share on the preview screen, thus enabling the provision of a service that can be enjoyed only by friends. Alternatively, the model for the thumbnail image may be, for example, only followers of poster U1 who are presumed to be likely to make a purchase or view the content. 【0046】 (Information processing variation 3: Models with a high probability of being tried on) In the above embodiment, an example was given of displaying thumbnail images of models that are likely to try on clothes at the top. In this case, a model that is likely to try on clothes may be, for example, a user who has posted on a predetermined service (social commerce) that allows posting and viewing of fashion coordinates within a predetermined period of time. 【0047】 (Information processing variation 4: Model's facial image (actual / selected / estimated)) In the above embodiment, the example was given where the model of the thumbnail image is a follower of poster U1, i.e., an existing model, but the embodiment is not limited to this example. The model of the thumbnail image does not have to be an existing model; for example, it may be a model generated by a generative AI. In other words, the thumbnail image does not have to be a face image of an existing model; for example, it may be a face image of a model generated by a generative AI. For example, it may be a face image of a model generated based on the follower information of poster U1. For example, it may be a face image of a model generated by weighting and averaging by the number of followers of poster U1. 【0048】 Furthermore, there may be cases where there are no face images of the model that can serve as candidates for the thumbnail image. For example, there may be followers of poster U1 who have not registered face images. In this case, if users such as poster U1's followers have registered face information such as their face type, the weighting may be changed based on the face information registered by the user. In other words, the thumbnail image may be a face image of the model generated based on weighting changed based on the face information registered by the user. Alternatively, the model's face image may be an estimated face image based on user-enhanced information such as the user's following relationships or purchase history. Thus, the model's face image may be an actual photographed face image, a face image based on face information selected by the user, or an estimated face image based on user-enhanced information. 【0049】 (Information Processing Variation 5: Other Functions of the Preview Screen) In the above embodiment, for example, an operation button that enables the application of fashion measures to be turned on or off may be displayed on screen C1. This makes it possible to turn on or off the makeup information applied to the poster's face image with a single operation (such as a single click or tap) via the operation button. Also in the above embodiment, for example, an instruction guide for first-time users may be displayed on screen C1. Also in the above embodiment, for example, it may be possible to enlarge or reduce the face image in response to the poster's operation on screen C1. Also in the above embodiment, for example, it may be possible to adjust the density of the face image in response to the poster's operation on screen C1. For example, the density of each part of the face may be adjustable using a user interface such as a slider. 【0050】 (Information Processing Variation 6: Other Functions of the Preview Screen) In the above embodiment, for example, a button for automatically generating a description of the face type of the thumbnail image may be displayed on the preview screen. For example, a button for automatically generating a description such as "This makeup suits the ○○ type, so please try it on" may be displayed when an image is selected. Also, in the above embodiment, for example, tags related to face types may be automatically registered and associated on the preview screen so that makeup information can be easily searched from the tags. 【0051】 In the above embodiment, for example, the frame of the thumbnail image on the preview screen may be shaped according to the face type of each model. For example, if there are many round faces, the frame may be round, and if there are many square faces, the frame may be square. Alternatively, the frame may be shaped according to the characteristics of each model's face type. This makes it possible to identify the face type of each model from the frame, thereby reducing the burden of previewing during registration. 【0052】 In the above embodiment, instead of selecting according to face type, for example, users may be allowed to select according to the purpose of the makeup (e.g., for a date, wedding, or girls' night out). For example, users may be allowed to select from options using different clothing and backgrounds depending on the purpose. In this case, for example, the face type of the thumbnail image may be the same or different depending on the purpose. That is, the face type may be the same but the clothing and background may differ depending on the purpose, or the clothing and background may differ depending on the purpose for each face type. 【0053】 In the above embodiment, for example, the concentration may be adjusted on the preview screen before registration, and then the user may try on the product using the default concentration. 【0054】 In the above embodiment, for example, face types with fewer registered suitable makeup information may be prioritized for extraction or display. Alternatively, it may be possible to clearly indicate that there are few registered makeup types that are not prioritized for extraction or display. This makes it easier for posters with few followers (posters who are less likely to be selected) to have their registered makeup information tried on, and promotes the registration of makeup information that suits various face types. In addition, instead of the preview screen, it may be suggested on the screen where the face with makeup is photographed or on the preparation screen beforehand which face type's suitable makeup information should be registered. Alternatively, on the preview screen, it may be suggested which face type's suitable makeup information should be changed to if the makeup information is to be changed. When makeup information is registered, it may also be suggested which makeup information is recommended for the next time to be registered. 【0055】 In the above embodiment, the case of displaying one preview screen was used as an example, but in the above embodiment, multiple preview screens may be displayed. For example, if multiple thumbnail images are selected, multiple preview screens may be displayed simultaneously, side by side, or divided left and right and displayed in halves. 【0056】 In the above embodiment, for example, if the degree of suitability can be displayed, the degree of suitability may be included in the display. Alternatively, for example, the system may be made to evaluate which one suits better and learn the comparison results. This makes it possible to achieve highly accurate learning. 【0057】 (Variations in Information Processing 7: Providing Incentives) In the above embodiment, for example, the poster may be given an incentive if the post leads to a try-on, a product view following the try-on, a product purchase following the try-on, or the return of dormant followers. For example, if a product purchase is made, the poster may be given electronic money or points that can be used for payment in the online marketplace where the product is sold. This makes it possible to encourage posters to make posts that are mindful of conversions. 【0058】 (Variations in Information Processing 8: Display Control) In the above embodiment, for example, the case in which thumbnail image extraction is performed before display control was described, but in the above embodiment, the model may be fixed and display control may be performed without performing thumbnail image extraction. 【0059】 (Information processing variation 9: Automatic display) In the above embodiment, for example, the case in which the poster specifies the thumbnail image to which the fashion strategy is applied was described. However, in the above embodiment, instead of the poster selecting a thumbnail image, the system may automatically apply the image to the model with the most suitable face type or a model with the face type of the follower and display it to the poster. 【0060】 [3. Configuration of the terminal device] Next, the configuration of the terminal device 10 according to the embodiment will be described using Figure 5. Figure 5 is a diagram showing an example of the configuration of the terminal device 10 according to the embodiment. As shown in Figure 5, the terminal device 10 has a communication unit 11, an input unit 12, an output unit 13, and a control unit 14. 【0061】 (Communications Section 11) The communication unit 11 is implemented, for example, by a NIC (Network Interface Card). The communication unit 11 is connected to a predetermined network N by wire or wireless connection and sends and receives information to and from the information processing device 100, etc., via the predetermined network N. 【0062】 (Input section 12) The input unit 12 accepts various operations from the poster. In Figure 3, it accepts various operations from poster U1. For example, the input unit 12 may accept various operations from the poster via the display surface using a touch panel function. Alternatively, the input unit 12 may accept various operations from buttons provided on the terminal device 10, or from a keyboard or mouse connected to the terminal device 10. 【0063】 (Output section 13) The output unit 13 is a display screen for a tablet terminal or the like, implemented by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various types of information. For example, the output unit 13 displays information transmitted from the information processing device 100. 【0064】 (Control Unit 14) The control unit 14 is, for example, a controller, and is implemented by a CPU (Central Processing Unit) or MPU (Micro Processing Unit) executing various programs stored in the internal memory of the terminal device 10 using RAM (Random Access Memory) as the working area. For example, these various programs include application programs installed on the terminal device 10. For example, these various programs include application programs that display a preview screen of posted information, including thumbnail images of models who are candidates to apply the fashion policy, based on information transmitted from the information processing device 100. The control unit 14 is also implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array). 【0065】 As shown in Figure 5, the control unit 14 has a receiving unit 141 and a transmitting unit 142, and realizes or executes the information processing operations described below. 【0066】 (Receiver 141) The receiving unit 141 receives various information from other information processing devices such as the information processing device 100. For example, the receiving unit 141 receives information to display a preview screen of posted information, including thumbnail images of models who are candidates to apply the fashion policy to. 【0067】 (Transmitter 142) The transmitting unit 142 transmits various types of information to other information processing devices, such as the information processing device 100. For example, the transmitting unit 142 transmits selection information selected by the poster from among the thumbnail images displayed along with the posted information. Also, for example, if the poster has evaluated how well the makeup suits them, the transmitting unit 142 transmits evaluation information. 【0068】 [4. Configuration of Information Processing Device] Next, the configuration of the information processing device 100 according to the embodiment will be described using Figure 6. Figure 6 is a diagram showing an example of the configuration of the information processing device 100 according to the embodiment. As shown in Figure 6, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 may also have an input unit (for example, a keyboard or mouse) that receives various operations from the administrator of the information processing device 100, and a display unit (for example, a liquid crystal display) for displaying various information. 【0069】 (Communications Department 110) The communication unit 110 is implemented, for example, by a NIC (Network Interface Card). The communication unit 110 is connected to the network N by wire or wireless connection and sends and receives information to and from terminal devices 10, etc., via the network N. 【0070】 (Storage unit 120) The storage unit 120 is implemented by, for example, semiconductor memory elements such as RAM and flash memory, or storage devices such as hard disks and optical discs. As shown in Figure 6, the storage unit 120 has a model information storage unit 121 and an evaluation information storage unit 122. 【0071】 The model information storage unit 121 stores model information of candidates that are displayed on the preview screen (screen C1). Here, Figure 7 shows an example of the model information storage unit 121 according to the embodiment. As shown in Figure 7, the model information storage unit 121 has items such as "model ID", "captured image", "setting type information", and "model information". 【0072】 "Model ID" indicates identification information used to identify the model (user). "Captured Image" indicates the images taken by the model that have been registered. In the example shown in Figure 7, conceptual information such as "Captured Image #1" and "Captured Image #2" is shown as being stored in "Captured Image," but in reality, image data is stored there. For example, the URL (Uniform Resource Locator) where the image data is located or the file path name indicating the storage location may be stored there. "Setting Type Information" indicates the type information set by the model. In the example shown in Figure 7, conceptual information such as "Setting Type Information #1" and "Setting Type Information #2" is shown as being stored in "Setting Type Information," but in reality, information such as "Face Type: Fresh; Hair Type: Straight; ..." is stored there. "Model Information" indicates model information related to the model, such as the model's follow relationships and purchase history. In the example shown in Figure 7, conceptual information such as "Model Information #1" and "Model Information #2" is stored in "Model Information," but in reality, information such as "Following: User P111, User P112, ...; Followers: User P211, User P212, ...; Purchase History: Product F1, Product F2, ...; ..." is stored. 【0073】 The evaluation information storage unit 122 stores evaluation information provided by the poster (for example, evaluation information indicating how well the makeup suits the model). Figure 8 shows an example of the evaluation information storage unit 122 according to this embodiment. As shown in Figure 8, the evaluation information storage unit 122 has items such as "evaluation information ID", "poster ID", "model ID", and "evaluation information". 【0074】 "Evaluation Information ID" indicates identification information used to identify evaluation information. "Poster ID" indicates identification information used to identify the poster who made the evaluation. "Model ID" indicates identification information used to identify the model that was evaluated. "Evaluation Information" indicates the poster's evaluation information. In the example shown in Figure 8, conceptual information such as "Evaluation Information #1" and "Evaluation Information #2" is shown to be stored in "Evaluation Information," but in reality, information such as the combination of makeup information applied to the model and the poster's evaluation (suitable, unsuitable, etc.) is stored. 【0075】 (Control unit 130) The control unit 130 is a controller, and is implemented, for example, by a CPU or MPU executing various programs stored in the memory device inside the information processing device 100 using RAM as a working area. Alternatively, the control unit 130 can be implemented by an integrated circuit such as an ASIC or FPGA. 【0076】 As shown in Figure 6, the control unit 130 includes an acquisition unit 131, a specific unit 132, an extraction unit 133, a first display unit 134, a generation unit 135, a second display unit 136, and a determination unit 137, and realizes or executes the information processing operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Figure 6, and other configurations are also acceptable as long as they perform the information processing described later. 【0077】 (Acquisition part 131) The acquisition unit 131 acquires various information from external information processing devices. The acquisition unit 131 also acquires various information from other information processing devices such as the terminal device 10. 【0078】 The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 also stores the acquired information in the storage unit 120. 【0079】 The acquisition unit 131 acquires images taken by posters to which the fashion policy has been applied. The acquisition unit 131 also acquires thumbnail images of models who are candidates to which the fashion policy has been applied. The acquisition unit 131 also acquires selection information selected by the poster from among the thumbnail images. Furthermore, if the poster has provided an evaluation, the acquisition unit 131 also acquires evaluation information. 【0080】 (Specific Section 132) The identification unit 132 identifies the poster's makeup information by extracting mask information from the poster's photographed image. For example, the identification unit 132 identifies the makeup information by extracting mask information from the photographed image acquired by the acquisition unit 131. 【0081】 (Extraction part 133) The extraction unit 133 extracts at least one thumbnail image of a model who is a candidate for applying the fashion policy, based on predetermined conditions. For example, the extraction unit 133 extracts at least one thumbnail image of a model who is a candidate for applying the fashion policy, based on predetermined conditions, from among the thumbnail images of models who are candidates for applying the fashion policy, acquired by the acquisition unit 131. For example, the extraction unit 133 extracts at least one thumbnail image of a model who is a candidate for applying the fashion policy, in order of the model with the highest rating indicating how well the makeup suits them (at least one thumbnail image of a model with a higher rating indicating how well the makeup suits them is extracted with priority). Also, for example, the extraction unit 133 extracts at least one thumbnail image of a model who is a candidate for applying the fashion policy, in order of the model whose face type is similar to that of the followers (at least one thumbnail image of a model whose face type is similar to that of the followers is extracted with priority). Also, for example, the extraction unit 133 extracts at least one thumbnail image of a model who is a candidate for applying the fashion policy, in order of the model with the most logins (at least one thumbnail image of a model with a more frequent login is extracted with priority). 【0082】 (First display section 134) The first display unit 134 displays thumbnail images of models who are candidates to whom the fashion policy will be applied. For example, the first display unit 134 displays thumbnail images extracted by the extraction unit 133 (at least one thumbnail image extracted based on predetermined conditions). The first display unit 134 may also perform the extraction process of the extraction unit 133. 【0083】 The first display unit 134 prioritizes displaying thumbnail images on the preview screen in a predetermined display manner (for example, displaying them in a predetermined display manner determined by the determination unit 137 described later). The first display unit 134 may also perform the determination processing of the determination unit 137 described later. The first display unit 134 prioritizes displaying thumbnail images of models with high ratings indicating how well the makeup suits them. For example, the first display unit 134 prioritizes displaying thumbnail images of models with high ratings indicating how well the makeup suits them from among the thumbnail images extracted by the extraction unit 133. For example, the first display unit 134 prioritizes displaying thumbnail images of models with high ratings indicating how well the makeup suits them by rearranging the thumbnail images extracted by the extraction unit 133 in order of how well the makeup suits them. The first display unit 134 also prioritizes displaying thumbnail images of models with high ratings indicating how well the makeup suits them for each subdivided face type. 【0084】 The first display unit 134 prioritizes displaying thumbnail images of models whose face type is similar to that of the poster. For example, the first display unit 134 prioritizes displaying thumbnail images of models whose face type is similar to that of the poster from among the thumbnail images extracted by the extraction unit 133. For example, the first display unit 134 prioritizes displaying thumbnail images of models whose face type is similar to that of the poster by rearranging the thumbnail images extracted by the extraction unit 133 in order of similarity to that of the poster. 【0085】 The first display unit 134 prioritizes displaying thumbnail images of models whose followers have a high proportion of a particular face type, based on, for example, the poster's follower information. For example, if a particular face type is prevalent among the followers' face types, the first display unit 134 prioritizes displaying thumbnail images of models with that particular face type. The first display unit 134 also prioritizes displaying thumbnail images of models whose login count is high among models whose face type is a particular type, based on, for example, the model's login information. For example, if a particular face type is prevalent among models with a high login count, the first display unit 134 prioritizes displaying thumbnail images of models with that particular face type. Furthermore, if there are multiple specific face types that are prevalent among models with a high login count, the first display unit 134 prioritizes displaying thumbnail images of models with each of the specific face types subdivided within that face type. 【0086】 (Generation unit 135) The generation unit 135 generates images to which fashion strategies have been applied. For example, the generation unit 135 generates an image to which fashion strategies have been applied to a thumbnail image selected by the poster, based on the selection information acquired by the acquisition unit 131. For example, the generation unit 135 generates fashion strategy information to generate an image to which fashion strategies similar to those of the poster have been applied, using a method such as PSGAN. For example, the generation unit 135 generates an image to which the generated fashion strategy information has been applied to a model. 【0087】 (Second display section 136) The second display unit 136 displays an image to which the fashion policy has been applied. For example, the second display unit 136 displays an image (an image to which the fashion policy has been applied) generated by the generation unit 135. Alternatively, the second display unit 136 may perform the generation process of the generation unit 135. 【0088】 (Decision Section 137) The decision unit 137 determines a predetermined display mode for displaying thumbnail images on the preview screen (for example, it determines a predetermined display mode for priority display by the first display unit 134). For example, the decision unit 137 determines the display mode for thumbnail images when displaying them in a predetermined area (area R1) of screen C1. That is, for example, the decision unit 137 determines the thumbnail images to be displayed on the preview screen. The decision unit 137 determines, for example, to prioritize the display of thumbnail images of models with high ratings indicating how well the makeup suits them. For example, the decision unit 137 determines the thumbnail images to be prioritized by sorting them in descending order of their ratings indicating how well the makeup suits them. For example, the decision unit 137 determines a display mode for thumbnail images such that images with higher ratings indicating how well the makeup suits them are prioritized by sorting them in descending order of their ratings indicating how well the makeup suits them. 【0089】 The decision unit 137, for example, decides to prioritize the display of thumbnail images of models whose face type is similar to that of the poster. For example, the decision unit 137 determines which thumbnail images to prioritize by sorting them in order of similarity to the poster's face type. For example, the decision unit 137 determines a display pattern for thumbnail images in which the more similar the face type is to that of the poster, by sorting them in order of similarity to that of the poster's face type. The decision unit 137 also decides to prioritize the display of thumbnail images of models whose followers have a high percentage of a particular face type. For example, the decision unit 137 determines which thumbnail images to prioritize by sorting them in order of the highest percentage of followers whose face type is a particular type. For example, the decision unit 137 determines a display pattern for thumbnail images in which the more similar the face type is to that of the poster, by sorting them in order of the highest percentage of followers whose face type is a particular type. The more similar the face type is to that of the poster, the more likely the thumbnail images are to be displayed. The decision unit 137 also decides to prioritize the display of thumbnail images of models whose login count is high for models whose face type is a particular type. For example, the determination unit 137 determines which thumbnail images to display preferentially by sorting the data in descending order of the percentage of logins for models whose face type is of a particular type. For example, the determination unit 137 determines how to display thumbnail images so that the higher the percentage of logins for models whose face type is of a particular type, the more preferentially the thumbnail images are displayed. 【0090】 [5. Information Processing Flow] Next, the information processing procedure by the information processing system 1 according to the embodiment will be described using Figures 9 and 10. Figures 9 and 10 are flowcharts showing the information processing procedure by the information processing system 1 according to the embodiment. Figure 9 is a flowchart showing the information processing procedure including the process of extracting thumbnail images of models based on predetermined conditions, and Figure 10 is a flowchart showing the information processing procedure including the process of displaying thumbnail images of models preferentially (sorting them to the top) based on a predetermined display mode. 【0091】 As shown in Figure 9, the information processing device 100 acquires images taken by posters to whom the fashion policy has been applied (step S201). The information processing device 100 extracts at least one thumbnail image of a model who is a candidate to whom the fashion policy has been applied, based on predetermined conditions (step S202). The information processing device 100 displays the extracted thumbnail image on the preview screen (step S203). 【0092】 The information processing device 100 determines whether the poster has selected a thumbnail image (step S204). If the poster has selected a thumbnail image (step S204; YES), the information processing device 100 generates an image to which the fashion policy has been applied (step S205). The information processing device 100 displays the generated image on the preview screen (step S206). On the other hand, if the poster has not selected a thumbnail image (step S204; NO), the information processing device 100 terminates the information processing. In this case, the poster may make a post without confirming the application of the fashion policy. 【0093】 As shown in Figure 10, the information processing device 100 acquires a photograph taken by a poster to whom the fashion policy has been applied (step S301). The information processing device 100 extracts at least one thumbnail image of a model who is a candidate to whom the fashion policy has been applied (step S302). The information processing device 100 displays the extracted thumbnail image preferentially on the preview screen in a predetermined display manner (step S303). 【0094】 The information processing device 100 determines whether the poster has selected a thumbnail image (step S304). If the poster has selected a thumbnail image (step S304; YES), the information processing device 100 generates an image to which the fashion policy has been applied (step S305). The information processing device 100 displays the generated image on the preview screen (step S306). On the other hand, if the poster has not selected a thumbnail image (step S304; NO), the information processing device 100 terminates the information processing. In this case, the poster may make a post without confirming the application of the fashion policy. 【0095】 [6. Effects] As described above, the information processing device 100 according to the embodiment includes an acquisition unit 131, a first display unit 134, and a second display unit 136. The acquisition unit 131 acquires images taken by the poster to which the fashion policy has been applied. The first display unit 134 displays at least one thumbnail image of a model to which the fashion policy has been applied. When the poster specifies a thumbnail image, the second display unit 136 displays an image to which the fashion policy has been applied to the model. 【0096】 This allows the information processing device 100 according to the embodiment to check, for example, whether or not a fashion campaign is likely to lead to conversions before posting. 【0097】 Furthermore, the first display unit 134 determines a display mode for thumbnail images such that images with a higher evaluation indicating the degree to which a fashion strategy suits a predetermined type of part of the model's appearance are displayed with priority. 【0098】 As a result, the information processing device 100 according to the embodiment can, for example, take into account how well the fashion campaign suits the model, and before posting, identify the type of model that is more likely to lead to conversions. 【0099】 Furthermore, the first display unit 134 determines a display mode for thumbnail images such that the higher the evaluation, the more priority is given to displaying each subdivided type of a predetermined part. 【0100】 As a result, the information processing device 100 according to the embodiment can subdivide the types of predetermined parts, such as face type, and confirm the types of models that are more likely to lead to conversions before posting. 【0101】 Furthermore, the first display unit 134 determines a display mode for thumbnail images such that the more similar the type of the poster is to a predetermined part of their appearance, the more likely they are to be displayed. 【0102】 As a result, the information processing device 100 according to the embodiment can, for example, take into account the degree of similarity between the poster and the user, and before posting, confirm whether or not the fashion campaign is likely to lead to conversions. 【0103】 Furthermore, the first display unit 134 determines a display mode that prioritizes displaying the model's thumbnail image based on the poster's follower information. 【0104】 As a result, the information processing device 100 according to the embodiment can, for example, take into account the poster's follower information to determine before posting whether or not a fashion campaign is likely to lead to conversions. 【0105】 Furthermore, the first display unit 134 determines a display mode in which, if a certain type of a particular type is prevalent among the types of predetermined parts related to the appearance of the poster's followers, it prioritizes displaying thumbnail images of a specific type of model. 【0106】 As a result, the information processing device 100 according to this embodiment can, for example, take into account the proportion of a particular type of follower of the poster and confirm the type of model that is likely to lead to conversion before posting. 【0107】 Furthermore, the first display unit 134 determines a display mode that prioritizes displaying the model's thumbnail image based on the model's login information. 【0108】 As a result, the information processing device 100 according to the embodiment can, for example, take into account the model's login information to determine before posting whether or not a fashion campaign is likely to lead to conversions. 【0109】 Furthermore, the first display unit 134 determines a display mode that prioritizes the display of thumbnail images of a particular type of model if the proportion of logins for a model of a specific type is high based on a predetermined type of part related to its appearance. 【0110】 As a result, the information processing device 100 according to the embodiment can, for example, take into account the percentage of logins for a particular type of model and confirm the type of model that is likely to lead to conversions before posting. 【0111】 [7. Hardware Configuration] Furthermore, the terminal device 10 and information processing device 100 according to the embodiments described above are realized by a computer 1000 having a configuration such as that shown in Figure 11. Figure 11 is a hardware configuration diagram showing an example of a computer that realizes the functions of the terminal device 10 and information processing device 100. The computer 1000 has a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700. 【0112】 The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400, controlling various components. The ROM 1300 stores boot programs executed by the CPU 1100 when the computer 1000 starts up, as well as programs that depend on the computer 1000's hardware. 【0113】 The HDD1400 stores programs executed by the CPU1100, as well as data used by such programs. The communication interface1500 acquires data from other devices via a predetermined communication network and sends it to the CPU1100, and transmits data generated by the CPU1100 to other devices via the predetermined communication network. 【0114】 The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via the input / output interface 1600. The CPU 1100 acquires data from input devices via the input / output interface 1600. The CPU 1100 also outputs the generated data to output devices via the input / output interface 1600. 【0115】 The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. 【0116】 For example, when the computer 1000 functions as a terminal device 10 and an information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control units 14 and 130 by executing programs loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be obtained from other devices via a predetermined communication network. 【0117】 [8. Other] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, specific names, and various data and parameters shown in the above document and drawings can be changed at will unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown. 【0118】 Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions. 【0119】 Furthermore, the embodiments described above can be combined as appropriate, as long as the processing content is not contradictory. 【0120】 Although some embodiments of the present invention have been described in detail above with reference to the drawings, these are illustrative examples, and the present invention can be implemented in various other forms with modifications and improvements based on the knowledge of those skilled in the art, starting with the embodiments described in the disclosure section of the invention. 【0121】 Furthermore, the terms "section, module, unit" mentioned above can be replaced with "means" or "circuit," etc. For example, the acquisition unit can be replaced with acquisition means or acquisition circuit. [Explanation of Symbols] 【0122】 1. Information Processing System 10 Terminal devices 11 Communications Department 12 Input section 13 Output section 14 Control Unit 100 Information Processing Devices 110 Communications Department 120 Storage section 121 Model Information Storage Unit 122 Evaluation Information Storage Unit 130 Control Unit 131 Acquisition Department 132 Specific part 133 Extraction part 134 1st display section 135 Generation part 136 2nd display section 137 Decision Section 141 Receiving Unit 142 Transmitter N Network

Claims

[Claim 1] An acquisition unit that acquires images taken by posters to which fashion policies have been applied, A first display unit that displays at least one model image of a model to whom the aforementioned fashion policy is applied, When the poster specifies the model image, a second display unit displays an image in which the fashion policy has been applied to the model. An information processing device characterized by having the following features. [Claim 2] The first display unit is, The display method for the model images is determined such that the more highly the fashion policy is evaluated as to how well it suits a predetermined type of part of the model's appearance, the more priority is given to displaying the model image. The information processing apparatus according to feature 1. [Claim 3] The first display unit is, For each of the subdivided types of the predetermined portion, a display mode of the model image is determined such that the higher the evaluation, the higher the priority given to displaying the image. The information processing apparatus according to feature 2. [Claim 4] The first display unit is, The display mode of the model image is determined such that the more similar the model image is to the poster in terms of the type of the predetermined part of its appearance, the more likely it is to be displayed. The information processing apparatus according to feature 1. [Claim 5] The first display unit is, Based on the follower information of the aforementioned poster, a display mode is determined that prioritizes the display of the aforementioned model image. The information processing apparatus according to feature 1. [Claim 6] The first display unit is, A predetermined portion of the appearance of the poster's followers determines a display mode that prioritizes the display of model images, including the aforementioned model of a specific type, based on the number of followers of a particular type. The information processing apparatus according to feature 1. [Claim 7] The first display unit is, The display mode is determined to prioritize the display of the aforementioned model image based on the user's login information. The information processing apparatus according to feature 1. [Claim 8] The first display unit is, Based on the number of logins of users whose appearance is of a specific type, a display mode is determined that prioritizes the display of model images including the model of that specific type. The information processing apparatus according to feature 7. [Claim 9] A method of information processing performed by a computer, The acquisition process involves obtaining images taken by posters to whom fashion policies have been applied, and A first display step involves displaying at least one model image of a model to whom the aforementioned fashion policy is applied, When the poster specifies the model image, a second display step is performed to display an image in which the fashion policy has been applied to the model. An information processing method characterized by including [Claim 10] Procedure for obtaining images taken by posters to whom fashion policies have been applied, A first display procedure that displays at least one model image of a model to whom the aforementioned fashion policy is applied, When the poster specifies the model image, a second display procedure is performed to display an image in which the fashion policy has been applied to the model. An information processing program characterized by causing a computer to execute it.

Images