Information processing apparatus, information processing method, and information processing program

Abstract

To provide an information processing apparatus, an information processing method, and an information processing program capable of improving convenience for a user.SOLUTION: An information processing apparatus includes an acquisition unit, a generation unit, and a providing unit. The acquisition unit acquires information on a sale target which is an article for sale. The generation unit inputs, to an AI agent or a trained model configured to generate and output information according to input information, input information including information on the sale target acquired by the acquisition unit and information for outputting sale information for selling the sale target, to cause the AI agent or the trained model to generate sale information of the sale target. The providing unit provides the sale information generated by the generation unit.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] As one type of service related to electronic commerce, there is known a service that mediates the buying and selling of items between users, such as an auction service or a flea market service (hereinafter, may be referred to as an item buying and selling mediation service). As a technology related to the item buying and selling mediation service, for example, Patent Document 1 proposes a technology that simplifies the user's information input work when listing an item (for example, see Patent Document 1).

[0003] In the above-mentioned conventional technology, when a user requests to use information about an item that he or she has previously listed when listing a new item, a listing screen is displayed with the information about that item embedded as default values. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2002-163492 A Summary of the Invention [Problem to be solved by the invention]

[0005] While the above-described conventional technology can reduce the amount of input work required when a user lists a new item, there is still room for improvement in terms of further improving user convenience.

[0006] The present application has been made in consideration of the above, and has an object to provide an information processing device, an information processing method, and an information processing program that can improve user convenience. [Means for solving the problem]

[0007] The information processing device according to the present application includes an acquisition unit, a generation unit, and a provision unit. The acquisition unit acquires information on an auction target, which is an item to be auctioned. The generation unit inputs input information including information on the auction target acquired by the acquisition unit and information for outputting listing information when the auction target is put up for auction to an AI agent or a trained model that generates and outputs information according to the input information, and causes the AI ​​agent or the trained model to generate listing information for the auction target. The provision unit provides the listing information generated by the generation unit. Effect of the Invention

[0008] According to one aspect of the embodiment, an effect is achieved in that it is possible to improve user convenience. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. [Diagram 3] FIG. 3 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of a user information table stored in the user information storage unit of the information processing device according to the embodiment. [Diagram 5] FIG. 5 is a diagram illustrating an example of a selling history information table stored in the selling history information storage unit of the information processing device according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of a sales history information table stored in the auction sale history information storage unit of the information processing device according to the embodiment. [Figure 7] FIG. 7 is a diagram illustrating an example of a content table stored in the content storage unit of the information processing device according to the embodiment. [Figure 8] FIG. 8 is a diagram illustrating an example of a flea market home screen displayed on the terminal device according to the embodiment. [Figure 9]FIG. 9 is a diagram showing an example of an item / belongings screen displayed on the terminal device according to the embodiment. [Figure 10] FIG. 10 is a diagram illustrating an example of an auction display screen displayed on the terminal device according to the embodiment. [Figure 11] FIG. 11 is a diagram showing an example of an AI listing support screen displayed on a terminal device according to the embodiment. [Figure 12] FIG. 12 is a diagram illustrating an example of a listing screen on which listing information provided by the providing unit of the information processing device according to the embodiment is set. [Figure 13] FIG. 13 is a diagram showing an example of an image information editing screen displayed on the terminal device according to the embodiment. [Figure 14] FIG. 14 is a flowchart showing an example of information processing by the processing unit of the information processing device according to the embodiment. [Figure 15] FIG. 15 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, the information processing device, the information processing method, and the information processing program according to the present application (hereinafter, referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. In addition, each embodiment can be appropriately combined as long as the processing contents are not contradictory. In addition, the same parts in each of the following embodiments are given the same reference numerals, and duplicated explanations will be omitted.

[0011] [1. An example of information processing] First, an example of information processing according to the embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing an example of information processing according to the embodiment.

[0012] 1 is an information processing device that cooperates with a terminal device 2 of a user U and provides various types of information to the user U online, and is realized by, for example, one or more servers or a cloud system. Note that, although one terminal device 2 is shown in the example shown in FIG. 1, the information processing device 1 cooperates with each of a plurality of terminal devices 2 and provides various services online to the user U of each terminal device 2.

[0013] The services provided to the user U by the information processing device 1 include, but are not limited to, e-commerce (e.g., flea markets, auctions, online shopping malls, etc.), web searches, and content distribution. In the following, an example of an item buying and selling intermediation service that is mainly provided by the information processing device 1 will be described. Note that, although an item buying and selling intermediation service will be described using a flea market-style e-commerce service as an example, the item buying and selling intermediation service may also be an auction-style e-commerce service.

[0014] Flea market-style electronic commerce is an electronic commerce service between users U (CtoC), in which the selling user U determines the selling price of an item, and if the buying user U agrees to that selling price, the transaction of the item is concluded. In flea market-style electronic commerce, the buying user U can also negotiate a price reduction on the selling price of the selling user U. Hereinafter, a flea market-style electronic commerce service may be referred to as a flea market service. Items for sale are not limited to movable property such as goods, but may also be real estate or intangible assets.

[0015] An application program for using a flea market service (hereinafter, sometimes referred to as a flea market app) is installed in the terminal device 2. The user U can use the flea market app installed in the terminal device 2 to list, view, and purchase items for sale in the flea market service. The terminal device 2 can transmit and receive information to and from the information processing device 1 via an API (Application Programming Interface) using the functions of the flea market app, but may also transmit and receive information to and from the information processing device 1 without using an API.

[0016] When the user U uses the flea market service, the user U operates the terminal device 2 to launch a flea market app. When the flea market app is launched on the terminal device 2, a flea market home screen, which is the home screen of the flea market app, is displayed on the terminal device 2. For example, the terminal device 2 acquires a plurality of pieces of information constituting the flea market home screen from the information processing device 1 using the functions of the flea market app, and displays the flea market home screen including the acquired plurality of pieces of information.

[0017] When the user U wishes to sell a product or the like that is the subject of auction, the user operates the terminal device 2 to select the "Sell Items / Belongings" button in the row of buttons arranged at the bottom of the flea market home screen. This causes the terminal device 2 to display the "Sell Items / Belongings" screen using the flea market app's functions.

[0018] The items for sale / belongings screen has an item for sale button for selling items for sale. The user U can operate the terminal device 2 to display the item for sale screen on the terminal device 2 by selecting the item for sale button, and can set information about the item for sale on the item for sale screen as selling information. The item for sale is a product that is to be put up for sale in the flea market service.

[0019] User U can set on the listing screen the listing information of the item being auctioned, for example, information on an image of the item being auctioned, information indicating the listing title of the item being auctioned, information indicating the category of the item being auctioned, information indicating a description of the item being auctioned, information indicating the condition of the item being auctioned, and information indicating the price of the item being auctioned.

[0020] In addition, the flea market app has, for example, an AI (Artificial Intelligence) support function for supporting the user U's use of the flea market service, and such an AI support function can increase the convenience for the user U.

[0021] The AI ​​support function includes various support functions such as a listing support function, a sales promotion support function, a Q&A (question and answer) support function, etc. The listing support function will be described below.

[0022] For example, assume that the user U operates the terminal device 2 to set part of the listing information of the auction object (e.g., image information of the auction object or information indicating the name of the auction object) on the auction screen and then selects the listing support button. In this case, the terminal device 2 transmits an listing support request including the information of the auction object set as part of the listing information on the auction screen to the information processing device 1 (step S1).

[0023] When the information processing device 1 receives a listing support request transmitted from the terminal device 2, it causes an AI agent or a trained model that generates and outputs information according to the input information to generate listing information for the item to be listed (step S2).

[0024] First, the generation of listing information using an AI agent will be described. The AI ​​agent is, for example, an autonomous AI agent such as AutoGPT (Generative Pre-trained Transformer). The AI ​​agent may also be an autonomous AI agent created specifically for the AI ​​support function of the flea market app.

[0025] For example, when an autonomous AI agent is given a goal, it causes a generative AI to generate tasks for achieving that goal, collects information for the generative AI to execute the generated tasks, and outputs information for achieving the goal by repeating the process of having the generative AI execute the tasks.

[0026] The generative AI is, for example, a text generation AI, but may also be a combination of a text generation AI and an image processing AI. The text generation AI is, for example, a language model trained to estimate and output the next token from an input token string, such as an attenuation model or a transfer model.

[0027] Examples of the transfer model include, but are not limited to, GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). It is preferable that the input information is trained so that it is not used as a new answer, thereby concealing the input information such as personal information. The generation AI may be trained (for example, fine-tuned) specifically for generating listing information with an AI agent.

[0028] The generative AI may be a multimodal generative AI, which is a model that generates images from text or generates text from images, such as CM3Leon (Chameleon Multimodal Model), but is not limited to such examples.

[0029] For example, assume that the information of the auction item set by user U on the listing screen is information indicating the name of the auction item, and the name of the auction item is "XXXXX" (where "XXXXX" is a string indicating the name of the auction item). In this case, the information processing device 1 inputs to the AI ​​agent the following string of information as input information: "Please tell me the appropriate auction information when auctioning the auction item with the information shown below. The auction information is the auction title, the auction category, the auction description, and the auction price. The auction item is XXXXX."

[0030] In this way, the AI ​​agent sets the input information as a goal, generates and executes tasks according to the goal, and generates and outputs listing information for the item to be listed. The input information input to the AI ​​agent is instruction information in natural language, and is also called a prompt.

[0031] In an AI agent, for example, a generative AI can generate a task in response to input information, and the information required to execute such a task can be collected from an internal memory unit or an external information providing device in response to a request from the generative AI, and the task can be executed by having the generative AI analyze the collected information.

[0032] The information collected by the AI ​​agent is, for example, information on items that have been listed and sold (purchased) in the past on a flea market service and have been highly rated by buyers, but is not limited to such examples. For example, the information collected by the AI ​​agent may be information on items that have been highly rated and have been sold in a short period of time (for example, a period of time below a threshold), or other information.

[0033] The information collected by the AI ​​agent may include listing information previously generated by the AI ​​agent, or may include listing information of items currently being listed on the flea market service. The information collected by the AI ​​agent is information on the same item as the item specified by the input information, but may also include information on items similar to the item specified by the input information.

[0034] The AI ​​agent, for example, can collect information on items with the name "XXXXX" and provide the collected information to the generative AI, causing the generative AI to generate appropriate listing information. The listing information is, for example, information indicating the listing title of the item to be auctioned, information indicating the category of the item to be auctioned, information indicating a description of the item to be auctioned, information indicating the condition of the item to be auctioned, and information indicating the price of the item to be auctioned, but may be at least one or more of these pieces of information. The information indicating the description of the item to be auctioned is information on the description of the item to be auctioned, and the price of the item to be auctioned is, for example, the price at the time of auction.

[0035] Also, assume that the information set by the user U as the information of the auction object is image information of the auction object obtained by capturing an image of the auction object. In this case, the information processing device 1 inputs to the AI ​​agent, as input information, the string "Please tell us the appropriate auction information when auctioning the item identified by the image information below. The auction information is the auction title, the auction category, the auction description, and the auction price of the item." and information indicating the storage location of the image information of the auction object.

[0036] In this case, in the information processing device 1, the AI ​​agent acquires image information from a storage location for the image information, inputs the acquired image information to an image recognition AI within the information processing device 1 or an external image recognition AI, and acquires information on the item for sale indicated in the image information from the image recognition AI.

[0037] The information of the auction object obtained from the image recognition AI is, for example, the name of the auction object, the color of the auction object, the condition of the auction object, etc. The condition of the auction object may be, for example, unused condition, nearly unused condition, no noticeable scratches or stains, slightly scratched or stained, scratched or stained, etc., but may also be in good condition, average condition, poor condition, etc.

[0038] The AI ​​agent generates listing information for the auction item based on input information, including information about the auction item obtained from the image recognition AI and information for outputting the listing information when the auction item is put up for auction.

[0039] In addition, in the information processing device 1, the AI ​​agent can search for image information similar to the image information acquired from the image information storage location by similar image search from an internal memory unit or an external information providing device, etc., and collect listing information including the image information acquired by the search from the internal memory unit or an external information providing device, etc. as information to be used in executing a task.

[0040] Furthermore, the information processing device 1 can cause the AI ​​agent to generate the listing information using, as input information, information further including consideration information that is information to be taken into consideration in generating the listing information.

[0041] The consideration information includes, for example, at least one of answer information to a question about an item in the same category as the item being sold, information on the price (selling price) of an item the same as the item being sold, information on the item being sold in news content, information on the item being sold in SNS (Social Networking Service), information on the season of the time of the item being sold, and information on the weather of the time of the item being sold. The news content is content provided by a news distribution service, but is not limited to such examples.

[0042] For example, if the auction item is a drum-type washing machine, the category of the auction item is washing machine, home appliance, etc. For example, if the auction item is perfume, the category of the auction item is beauty, cosmetics, etc.

[0043] The information on the item for sale in news content or on SNS may be, but is not limited to, information indicating whether the item for sale is trending, information indicating whether the item for sale is becoming trending, information indicating whether the trend of the item for sale is about to end, etc. For example, the information on the item for sale in news content or on SNS may be information on news content or on SNS that positively covers the item for sale.

[0044] The information processing device 1 can cause the AI ​​agent to generate listing information using, as input information, information including, for example, the character string "Please give us your listing information in consideration of the following consideration information" and further consideration information.

[0045] In addition, the information processing device 1 can replace the information in the string "Please tell me appropriate listing information when listing an item with the information shown below." with the information in the string "Please tell me appropriate listing information taking into consideration the following consideration information when listing an item with the information shown below.", and can also have the AI ​​agent generate listing information using information including the consideration information as input information.

[0046] When information including an instruction to take into account the consideration information is input as input information, the AI ​​agent further collects information corresponding to the consideration information and analyzes the collected information. For example, when the consideration information includes information on the period from when an item is listed to when it is sold (purchased), the AI ​​agent collects information on the period from when an item is listed to when it is sold (purchased). Hereinafter, for the sake of convenience, the period from when an item is listed to when it is sold (purchased) may be referred to as the sales period.

[0047] In this case, the AI ​​agent generates listing information for listing objects for each required sales period based on the listing information for each required sales period, or generates listing information for listing objects based on the listing information for the most common required sales period. Note that by including information such as the string "listing information for each required sales period" or the string "listing information for the most common required sales period" in the consideration information, the AI ​​agent can generate the desired listing information with greater accuracy.

[0048] Furthermore, if the consideration information includes information on the price (selling price) at which the item was sold, the AI ​​agent collects listing information for the item including information on the price (selling price) at which the item was sold, and if the consideration information includes information on the listing time (e.g., season) and the weather at the listing time, the AI ​​agent collects listing information for the item including information on the listing time (e.g., season) and the weather at that time. Note that the listing time is the time of listing when it is assumed that the item to be listed is listed within a predetermined period (e.g., within one day from the current time).

[0049] In addition, when the consideration information includes information regarding news content or items to be listed on SNS, the AI ​​agent collects information regarding the news content or items to be listed on SNS.

[0050] When the consideration information includes information on the price (sales price) at which the item was sold, the AI ​​agent generates listing information for the item to be sold for each sales price range based on the listing information for each sales price range, or generates listing information for the item to be sold based on the listing information for the sales price range with the highest sales probability. Note that by including information such as the string "listing information for each sales price range" or the string "listing information for the sales price range with the highest sales probability" in the consideration information, the AI ​​agent can generate the desired listing information with greater accuracy.

[0051] Furthermore, when the consideration information includes information on the listing time (e.g., season) and weather at the listing time, the AI ​​agent acquires information on the current listing time and weather for a period from the present to a predetermined time from an external information providing device, etc., and collects listing information for items that were listed during a sales period and weather that match or are similar to the acquired listing time and weather information.The AI ​​agent then generates listing information for the items to be listed based on the collected information.

[0052] In addition, when the consideration information includes information regarding news content or items to be listed on SNS, the AI ​​agent obtains information regarding the popularity of the items to be listed in news content or on SNS, or information about news content or SNS that positively portrays the items to be listed, from an external information providing device, etc.

[0053] Based on the acquired information on trends, the AI ​​agent can, for example, include information corresponding to the trend information (e.g., if it is popular, "Trend setting!", "Sure to sell out!", etc.) in the description of the item for sale, or include information indicating a price corresponding to the trend information (e.g., a higher price if it is popular) in the listing information.

[0054] In this way, the information processing device 1 can cause the AI ​​agent to take into account the consideration information, and can therefore cause the AI ​​agent to generate more appropriate listing information.

[0055] The information processing device 1 can inquire of the generative AI as to what consideration information should be included in the input information together with the information of the auction object input by the user U, and can obtain the generative AI's answer in response to the inquiry. The information processing device 1 can also obtain consideration information corresponding to the auction object from correspondence information including consideration information for each name of the auction object or consideration information for each category of the auction object.

[0056] Furthermore, the information processing device 1 can cause the AI ​​agent to generate listing information using, as input information, information further including information indicating an instruction regarding the listing information of the type corresponding to the consideration information. For example, if the consideration information is related to price fluctuation, the information indicating an instruction regarding the listing information of the type corresponding to the consideration information can be information such as "Please tell us listing information including an appropriate price for the listing object taking into consideration the consideration information" as input information to cause the AI ​​agent to generate listing information.

[0057] Furthermore, for example, when the user U inputs or selects desired information in addition to the information of the item to be put up for sale, the information processing device 1 can cause the AI ​​agent to generate listing information using as input information information further including the desired information or information corresponding to the desired information. The desired information is information such as the character string "Want to sell quickly" or the character string "Want to sell at a high price."

[0058] For example, when the desired information is the string "I want to sell quickly," the information processing device 1 causes the AI ​​agent to generate listing information using as input information information corresponding to the desired information that further includes the string "Please set the price and description in the listing information to enable the item to be sold quickly."

[0059] In addition, for example, when the desired information is the string "I want to sell it at a high price," the information processing device 1 causes the AI ​​agent to generate listing information using as input information information corresponding to the desired information that further includes the string "Please make the price and description in the listing information so that it will sell at a high price."

[0060] In addition, the information processing device 1 can cause the AI ​​agent to generate the listing information by using as input information information further including user information, which is information about a user U who has an item to be listed. The information about the user U is, for example, attribute information about the user U, behavior history information about the user U, and the like.

[0061] The attribute information of the user U is information indicating the attributes of the user U, and the attributes of the user U are, for example, the demographic attributes and psychographic attributes of the user U. The demographic attributes are demographic attributes, for example, age, sex, occupation, place of residence, annual income, family structure, etc. The psychographic attributes are psychological attributes, for example, lifestyle, values, interests, etc.

[0062] The behavioral history information of the user U is information indicating the user U's past behavior, and includes information on the user U's past usage history of online services, etc. The information on the user U's past usage history of online services includes, for example, information on the user U's past purchase history of items listed, and information on the user U's past listing history. The information on the user U's past listing history includes listing information and sales information of items listed by the user U, etc.

[0063] The information processing device 1 can cause the AI ​​agent to generate listing information using information including, for example, a character string "Please tell us appropriate listing information when a user corresponding to the user information below puts up for sale the listing object of the information shown below. The listing information is the listing title of the item, the category of the item, the description of the item, and the price of the item. The item to be put up for sale is XXXXX" and user information as input information. Furthermore, the information processing device 1 can further include consideration information, desired information, and the like in the input information.

[0064] Next, the generation of listing information using a trained model without using an AI agent will be described. The trained model is, for example, the above-mentioned generation AI. Such a generation AI is, for example, a text generation AI, but may also be a combination of a text generation AI and an image processing AI.

[0065] The information processing device 1 has a trained model trained using learning information including, for example, information on items offered for sale on a flea market service and the listing information for the items, for each item that was sold and highly rated. The information on the items is information indicating the name of the item, but may include image information of the item instead of or in addition to the information indicating the name of the item.

[0066] For example, the learning information is a data set that uses information including information on items for sale as input and targets the listing information of the items for sale, and the learning is, for example, fine tuning, but is not limited to such an example. In this case, the information processing device 1 inputs information including information on the items to be sold and information for outputting the listing information when the items to be sold are sold to the trained model as input information, and causes the trained model to generate the listing information of the items to be sold.

[0067] The trained model may be a model trained using training information further including consideration information for each item, for example. In this case, the information processing device 1 inputs information further including the consideration information as input information to the trained model, and causes the trained model to generate information on the auction object and listing information on the auction object corresponding to the consideration information.

[0068] For example, when the price (sales price) at which an item is sold is taken into consideration, the consideration information is information on the character string "by sales price range." In this case, the learning information is a data set that uses information including the character string "by sales price range" and information on the item as input and targets listing information for each sales price range of the item.

[0069] Furthermore, when the sales period required, which is the period from when an item is put up for sale to when it is sold (purchased), is taken into consideration, the consideration information is information of the character string "for each period from when an item is put up for sale to when it is sold (purchased)". In this case, the learning information is a data set that uses as input information including the character string "for each period from when an item is put up for sale to when it is sold (purchased)" and information about the item, and targets the listing information for each period required for the sales of the item.

[0070] Furthermore, when the listing period (e.g., season) of an item is taken into consideration, the consideration information is information for each listing period of the item. In this case, the learning information is a data set that receives as input information including the string "each listing period of the item" and information about the item, and targets listing information for each listing period of the item.

[0071] The trained model may be a model trained using training information further including desired information for each item, for example. In this case, the information processing device 1 inputs information including the information of the auction object and the desired information as input information to the trained model, and causes the trained model to generate listing information of the auction object corresponding to the information of the auction object and the desired information.

[0072] The desired information is, for example, information including the character string “I want to sell it at a high price” or information including the character string “I want to sell it quickly.” In this case, the learning information is, for example, a data set that inputs information including the desired information and the item for sale and targets the item for sale information.

[0073] The trained model may be a model trained using learning information further including consideration information and desired information for each item, for example. In this case, the information processing device 1 inputs information including the information of the item to be put up for sale, the consideration information, and the desired information as input information to the trained model, and causes the trained model to generate listing information of the item to be put up for sale according to the information of the item to be put up for sale, the consideration information, and the desired information.

[0074] The trained model may be a model trained using learning information included for each item, which further includes user information of a user U who will be the seller of the item. In this case, the information processing device 1 inputs information including, for example, the information of the item to be sold, the consideration information, the desired information, and the user information as input information to the trained model, and causes the trained model to generate listing information of the item to be sold according to the information of the item to be sold, the consideration information, the desired information, and the user information.

[0075] In addition, the input information input to the trained model may be the same as the input information input to the AI ​​agent, or may be different from the input information input to the AI ​​agent, and input information for generating appropriate listing information is input to the trained model.

[0076] The trained model may be a model other than the generative AI. The model other than the generative AI may be, for example, a regression model, a neural network, or a gradient boosting decision tree (GBDT), but is not limited to such models and may be other models.

[0077] In this case, the trained model is, for example, a model that calculates a high score when the listing information of an item that is the same as or similar to the listing object specified by the input information and has been sold (purchased) and highly evaluated is input, but is not limited to such an example. In addition, the trained model may be, for example, a model for each attribute of the seller, or a model for each combination of the seller's attribute and behavior.

[0078] Next, the information processing device 1 transmits the selling information of the auction object generated in step S2 to the terminal device 2, thereby providing the selling information of the auction object generated in step S2 to the user U (step S3).

[0079] The terminal device 2 receives the listing information of the auction object transmitted from the information processing device 1, and updates the listing screen based on the received listing information of the auction object. As a result, the listing screen contains the listing information of the auction object generated by the information processing device 1, so that the user U can save or reduce the effort of inputting the listing information of the auction object into the auction screen, and the information processing device 1 can improve the convenience of the user U.

[0080] On the listing screen, the user U can change the listing information of the listing object generated by the information processing device 1, which also improves the convenience of the user U. In addition, the user U can select a listing re-support button on the listing screen, which allows the listing information of the listing object on the listing screen to be replaced with the listing information of the listing object regenerated by the information processing device 1.

[0081] In this way, the information processing device 1 inputs input information including information on the auction object, which is an item to be auctioned, and information for outputting the auction information when the auction object is put up for auction to an AI agent or trained model that acquires information on the auction object, which is an item to be auctioned, generates and outputs information according to the input information, causes the AI ​​agent or trained model to generate the auction information on the auction object, and provides the auction information. This enables the information processing device 1 to improve the convenience of the user U.

[0082] The configuration of an information processing system including the information processing device 1 and terminal device 2 that perform such processing will be described in detail below.

[0083] 2. Configuration of the Information Processing System 2 is a diagram showing an example of a configuration of an information processing system according to an embodiment. As shown in FIG. 2, an information processing system 100 according to an embodiment includes an information processing device 1 and a plurality of terminal devices 2.

[0084] The multiple terminal devices 2 are used by different users U. The terminal devices 2 are, for example, a notebook PC (Personal Computer), a desktop PC, a smartphone, a tablet PC, or a wearable device. The wearable device is, for example, a smart glass or a smart watch, but is not limited to such examples.

[0085] The information processing device 1 and the terminal device 2 are connected to each other so as to be able to communicate with each other by wire or wirelessly via a network N. Note that the information processing system 100 shown in FIG.

[0086] The network N includes, for example, a Wide Area Network (WAN) such as the Internet and mobile communication networks such as Long Term Evolution (LTE), 4G (4th Generation), and 5G (5th Generation: 5th generation mobile communication system).

[0087] The terminal device 2 can connect to the network N via short-range wireless communication such as a mobile communication network, Bluetooth (registered trademark), or a wireless LAN (Local Area Network), and communicate with the information processing device 1.

[0088] 3. Configuration of information processing device 1 3 is a diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in FIG. 3, the information processing device 1 includes a communication unit 10, a storage unit 11, and a processing unit 12.

[0089] [3.1. Communication unit 10] The communication unit 10 is realized by, for example, a communication module or a NIC (Network Interface Card). The communication unit 10 is connected to a network N by wire or wirelessly, and transmits and receives information to and from various other devices. For example, the communication unit 10 transmits and receives information to and from the terminal device 2 via the network N.

[0090] [3.2. Storage section 11] The storage unit 11 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 11 stores a user information storage unit 20, a listing history information storage unit 21, and a content storage unit 22.

[0091] 3.2.1. User information storage unit 20 The user information storage unit 20 stores information about the user U. Fig. 4 is a diagram showing an example of a user information table stored in the user information storage unit 20 of the information processing device 1 according to the embodiment. As shown in Fig. 4, the user information table stored in the user information storage unit 20 includes items such as "user ID (IDentifier)", "attribute information", and "history information".

[0092] The "user ID" is identification information for identifying the user U. The "attribute information" is information on the user attributes of the user U corresponding to the "user ID", and includes information on psychographic attributes and information on demographic attributes. The demographic attributes are, for example, gender, age, place of residence, and occupation, while the psychographic attributes are interests such as travel, clothes, cars, and religion, lifestyle, thoughts, and thought trends.

[0093] The "history information" includes information on the behavior history of the user U associated with the "user ID." The behavior history of the user U includes, for example, information on the movement history of the user U and information on the behavior history of the user U in online services. The information on the movement history of the user U includes, for example, information on the route traveled by the user U and information on the places visited by the user U.

[0094] The information on the user U's behavioral history in the online service includes, for example, search history information, browsing history information, and transaction history information in the online service of the user U. The search history information of the user U includes, for example, information on the search history of content by the user U in a web search service. The browsing history information of the user U includes, for example, information on the browsing history of content by the user U in the online service. The transaction history information includes, for example, information on the transaction history of products by the user U in the online service.

[0095] 3.2.2. Listing History Information Storage Unit 21 The selling history information storage unit 21 stores information about items put up for sale on the electronic commerce site. The selling history information storage unit 21 includes, for example, a selling history information table and a sales history information table.

[0096] 5 is a diagram showing an example of a listing history information table stored in the listing history information storage unit 21 of the information processing device 1 according to the embodiment. The listing history information table shown in FIG. 5 includes items such as "listing ID", "category", "name", "status", "description", and "price".

[0097] "Item ID" is identification information that identifies an item. "Category" is information that indicates the category of the item corresponding to the "Item ID". "Name" is information that indicates the name of the item corresponding to the "Item ID". "Status" is information that indicates the status of the item corresponding to the "Item ID".

[0098] "Description" is information on the item corresponding to the "Item ID", which is information that indicates a description of the item, i.e., information on the description of the item. "Price" is information that indicates the price at which the item corresponding to the "Item ID" was put up for sale, e.g., information that indicates the price set by the seller.

[0099] In addition, although not shown, the listing history information table includes information such as the listing title of the item, information indicating the seller of the item, information indicating the listing date and time of the item (listing start date and time), information indicating the listing end date and time of the item, and information indicating the content of negotiations with potential buyers.

[0100] 6 is a diagram showing an example of a sales history information table stored in the listing history information storage unit 21 of the information processing device 1 according to the embodiment. The sales history information table shown in FIG. 6 includes items such as "listing ID", "sales flag", "sales price", "sales date and time", and "purchaser".

[0101] The "item ID" is identification information that identifies the item being sold. The "sale / buy flag" is flag information that indicates whether the item corresponding to the "item ID" has been sold or bought. If the item has been sold or bought, the sale flag is set to "1," and if the item has not been sold or bought, the sale flag is set to "0."

[0102] "Sales price" is information indicating the sales price (buying and selling price) of the item corresponding to the "item ID." "Sales date and time" is information indicating the date and time when the sale (buying and selling) of the item corresponding to the "item ID" was completed. "Purchaser" is identification information (e.g., user ID) of user U who purchased the item corresponding to the "item ID."

[0103] 3.2.3. Content storage unit 22 The content storage unit 22 stores information about content. Fig. 7 is a diagram showing an example of a content table stored in the content storage unit 22 of the information processing device 1 according to the embodiment. The content table shown in Fig. 7 includes items such as "content ID" and "content". "Content ID" is identification information that identifies content.

[0104] "Content" refers to information on content provided by various sites including e-commerce sites, and includes, for example, layout information on the content, text information constituting the content, information on images constituting the content, etc. Text information constituting the content includes, for example, text information indicating the title of the content, text information indicating details of the content, etc.

[0105] [3.3. Processing section 12] The processing unit 12 is a controller, and is realized by a processor such as a CPU (Central Processing Unit) or MPU (Micro Processing Unit) by executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a working area.

[0106] Furthermore, the processing unit 12 is a controller, and may be realized by an integrated circuit such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or a general purpose graphic processing unit (GPGPU).

[0107] 3, the processing unit 12 has an acquisition unit 30, a reception unit 31, a generation unit 32, and a provision unit 33, and realizes or executes the functions and actions of information processing described below. Note that the internal configuration of the processing unit 12 is not limited to the configuration shown in FIG. 3, and may be other configurations as long as they perform the information processing described below.

[0108] [3.3.1. Acquisition part 30] The acquisition unit 30 acquires various information from an external information processing device, the terminal device 2, etc. The acquisition unit 30 acquires various information from the storage unit 11. For example, the acquisition unit 30 acquires user information from the external information processing device or the terminal device 2, and updates the user information table stored in the user information storage unit 20 based on the acquired user information.

[0109] Furthermore, the acquisition unit 30 acquires content from an external information processing device, adds the acquired content to the content table stored in the content storage unit 22, and updates the content table.

[0110] Furthermore, the acquisition unit 30 acquires various information included in the request accepted by the acceptance unit 31. For example, when the request accepted by the acceptance unit 31 is a listing support request or a listing re-support request, the acquisition unit 30 acquires a user ID and information on the listing object (for example, image information on the listing object or information indicating the name of the listing object) included in the information.

[0111] Furthermore, the acquisition unit 30 acquires various information from the storage unit 11. For example, the acquisition unit 30 acquires user information, listing history information, sales history information, content, and the like from the storage unit 11. For example, the acquisition unit 30 acquires user information, listing history information, sales history information, content, and the like from the storage unit 11 as information corresponding to a result of acceptance by the acceptance unit 31.

[0112] In addition, for example, when the generation unit 32 generates listing information using a trained model, the acquisition unit 30 acquires information to be used as input information, which is information to be input into the trained model, from the memory unit 11, etc.

[0113] For example, the acquisition unit 30 acquires information on the auction object, consideration information, desired information, user information, and the like from the terminal device 2 or the storage unit 11, etc., as information to be input to the trained model. The information on the auction object is information on the auction object that is the item to be auctioned, and is, for example, image information on the auction object or information indicating the name of the auction object, and the desired information is, for example, information indicating the desire of the user U who is the seller of the auction object regarding at least one of the sales time and price of the auction object. The user information is, for example, information on the user U who is the seller of the auction object, but may also be user information of the target purchaser demographic.

[0114] In addition, when the generation unit 32 generates listing information using an AI agent, information to be input to the AI ​​agent and used as input information is acquired by the AI ​​agent from the memory unit 11, an external information providing device, or the terminal device 2, etc., but the acquisition unit 30 can also acquire information to be input to the AI ​​agent and used as input information from the memory unit 11, etc.

[0115] [3.3.2. Reception Unit 31] The reception unit 31 receives various requests and various information from the terminal device 2 or an external information processing device.

[0116] For example, the reception unit 31 receives a listing support request, a listing re-support request, etc., transmitted from the terminal device 2 to the information processing device 1. Such a listing support request, a listing re-support request, etc., include the user ID of the user U who will be the seller, information on the listing object set (input) by the user U who will be the seller on the listing screen, etc.

[0117] The receiving unit 31 also receives an auction request transmitted from the terminal device 2 to the information processing device 1. Such an auction request includes information such as the user ID of the seller, and auction content information, which is information related to the auction.

[0118] The listing content information includes, for example, listing information for the item to be put up for sale, information indicating a delivery method for the item to be put up for sale, etc. When the reception unit 31 receives a listing request from the terminal device 2, it updates the listing history information table based on the information included in the received listing request. The reception unit 31 accepts the listing request from the terminal device 2 to accept the putting up of an item to be put up for sale. For example, by receiving a listing request from the terminal device 2, the reception unit 31 accepts a listing by the user U using the listing information provided by the provision unit 33.

[0119] The reception unit 31 also receives a purchase request transmitted from the terminal device 2 to the information processing device 1. Such a purchase request includes the user ID of the purchaser, information for identifying the item to be purchased (e.g., an item ID), etc. When the reception unit 31 receives a purchase request from the terminal device 2, it updates the sales history information table based on the information included in the received purchase request.

[0120] The reception unit 31 also receives an item viewing request transmitted from the terminal device 2 to the information processing device 1. Such an item viewing request includes information such as the user ID of the viewer, and the item ID or name of the item to be viewed.

[0121] The reception unit 31 also receives an item / belongings screen request, an item screen request, an item support screen request, or the like, transmitted from the terminal device 2 to the information processing device 1. The reception unit 31 also receives questions from the user U about items for sale and answers to the questions.

[0122] [3.3.3. Generation unit 32] The generation unit 32 causes an AI agent or a trained model that generates and outputs information corresponding to input information to generate listing information for the auction item. The generation unit 32 inputs input information including information corresponding to the listing support request accepted by the acceptance unit 31 to the AI ​​agent or the trained model, for example, and causes the AI ​​agent or the trained model to generate listing information for the auction item.

[0123] The generation unit 32 is configured to have an AI agent or a learned model, but the AI ​​agent or the learned model may be a component possessed by an external information processing device. In this case, the generation unit 32 sends a generation request to the external information processing device via the communication unit 10 to generate listing information for the item to be auctioned, and obtains the listing information for the item to be auctioned generated by the AI ​​agent or the learned model in the external information processing device.

[0124] The generation unit 32 inputs input information including information on the item to be listed contained in the listing support request and information for outputting listing information when the item to be listed is listed to an AI agent or a trained model that generates and outputs information according to the input information, and causes the AI ​​agent or trained model to generate listing information for the item to be listed.

[0125] First, the generation of listing information using an AI agent will be described. The AI ​​agent is, for example, an autonomous AI agent such as AutoGPT. The AI ​​agent may also be an autonomous AI agent created specifically for the AI ​​support function of the flea market app.

[0126] For example, when an autonomous AI agent is given a goal, it causes a generative AI to generate tasks for achieving that goal, collects information for the generative AI to execute the generated tasks, and outputs information for achieving the goal by repeating the process of having the generative AI execute the tasks.

[0127] The generative AI is, for example, a text generation AI, but may also be a combination of a text generation AI and an image processing AI. The text generation AI is, for example, a language model trained to estimate and output the next token from an input token string, such as an attenuation model or a transfer model.

[0128] The transfer model is, for example, GPT or BERT, but is not limited to such examples. It is preferable that the input information is trained so that it is not used as a new answer, thereby concealing the input information such as personal information. The generation AI may be trained (for example, fine-tuned) specifically for generating listing information with an AI agent.

[0129] The generative AI may be a multimodal generative AI, which is a model that generates images from text or generates text from images, such as CM3Leon, but is not limited to such examples.

[0130] For example, assume that the information of the auction item set on the auction screen is information indicating the name of the auction item, and the name of the auction item is "XXXXX" (where "XXXXX" is a string indicating the name of the auction item). In this case, the generation unit 32 inputs to the AI ​​agent the following string of information as input information: "Please tell me the appropriate auction information when auctioning the auction item with the information shown below. The auction information is the auction title, a category of the auction item, a description of the auction item, and a price of the auction item. The auction item is XXXXX."

[0131] The AI ​​agent then generates and outputs listing information for the items to be listed by setting the input information as a goal and generating and executing tasks according to the goal. Such input information is instruction information in natural language and is also called a prompt.

[0132] In an AI agent, for example, a task can be generated by a generative AI in response to input information, and the information required to execute the task can be collected from the memory unit 11 or an external information providing device, etc., in response to a request from the generative AI, and the task can be executed by having the generative AI analyze the collected information.

[0133] The information collected by the AI ​​agent is, for example, information on items that have been listed and sold (purchased) in the past on a flea market service and have been highly rated by buyers, but is not limited to such examples. For example, the information collected by the AI ​​agent may be information on items that have been highly rated and have been sold in a short period of time (for example, a period of time below a threshold), or other information.

[0134] The information collected by the AI ​​agent may include listing information previously generated by the AI ​​agent, or may include listing information of items currently being listed on the flea market service. The information collected by the AI ​​agent is information on the same item as the item specified by the input information, but may also include information on items similar to the item specified by the input information.

[0135] The AI ​​agent, for example, can collect information on items with the name "XXXXX" and provide the collected information to the generative AI, causing the generative AI to generate appropriate listing information. The listing information is, for example, information indicating the listing title of the item being auctioned, information indicating the category of the item being auctioned, information indicating a description of the item being auctioned, information indicating the condition of the item being auctioned, and information indicating the price of the item being auctioned, but may be at least one or more of these pieces of information. The information indicating the description of the item being auctioned is information on the description of the item being auctioned, and the price of the item being auctioned is, for example, the price at the time of auction.

[0136] Also, assume that the information of the auction object set by the user U as the information of the auction object is image information of the auction object obtained by capturing an image of the auction object. In this case, the generation unit 32 inputs to the AI ​​agent, as input information, the string "Please tell us the appropriate auction information when auctioning the item specified by the image information below. The auction information is the auction title, the auction category, the auction description, and the auction price of the item." and information indicating the storage location of the image information of the auction object.

[0137] In this case, in the generation unit 32, the AI ​​agent acquires image information from the storage location of the image information, inputs the acquired image information to an image recognition AI within the generation unit 32 or an external image recognition AI, and acquires information on the item for sale indicated in the image information from the image recognition AI.

[0138] The information of the auction object obtained from the image recognition AI is, for example, the name of the auction object, the color of the auction object, the condition of the auction object, etc. The condition of the auction object may be, for example, unused condition, nearly unused condition, no noticeable scratches or stains, slightly scratched or stained, scratched or stained, etc., but may also be in good condition, average condition, poor condition, etc.

[0139] The AI ​​agent generates listing information for the auction item based on input information, including information about the auction item obtained from the image recognition AI and information for outputting the listing information when the auction item is put up for auction.

[0140] In addition, in the generation unit 32, the AI ​​agent can search for image information similar to the image information acquired from the image information storage location by similar image search from an internal memory unit or an external information providing device, etc., and collect listing information including the image information acquired by the search from the internal memory unit or an external information providing device, etc. as information to be used in executing a task.

[0141] Furthermore, the generating unit 32 can cause the AI ​​agent to generate the listing information using, as input information, information further including consideration information that is information to be taken into consideration when generating the listing information.

[0142] The consideration information includes, for example, at least one of answer information to a question about an item in the same category as the item being sold, information on the price (selling price) of an item the same as the item being sold, information on the item being sold in news content, information on the item being sold on SNS, information on the season when the item was sold, and information on the weather when the item was sold. The news content is content provided by a news distribution service, but is not limited to such examples.

[0143] For example, if the auction item is a drum-type washing machine, the category of the auction item is washing machine, home appliance, etc. For example, if the auction item is perfume, the category of the auction item is beauty, cosmetics, etc.

[0144] The information on the item for sale in news content or on SNS may be, but is not limited to, information indicating whether the item for sale is trending, information indicating whether the item for sale is becoming trending, information indicating whether the trend of the item for sale is about to end, etc. For example, the information on the item for sale in news content or on SNS may be information on news content or on SNS that positively covers the item for sale.

[0145] The generation unit 32 can cause the AI ​​agent to generate listing information using, as input information, for example, the string "Please provide listing information taking into consideration the following consideration information" and information further including the consideration information.

[0146] In addition, the generation unit 32 can replace the information in the string "Please tell me appropriate listing information when listing an item with the information shown below." with the information in the string "Please tell me appropriate listing information while taking into consideration the following consideration information when listing an item with the information shown below.", and can also cause the AI ​​agent to generate listing information using information including the consideration information as input information.

[0147] When information including an instruction to take into account the consideration information is input as input information, the AI ​​agent further collects information corresponding to the consideration information and analyzes the collected information. For example, when the consideration information includes information on the sales period required, which is the period from when an item is put up for sale to when it is sold (purchased), the AI ​​agent collects information on the sales period required. The sales period is, for example, a period in units of one day, but is not limited to such an example, and may be, for example, a period in units of several hours.

[0148] In this case, the AI ​​agent generates listing information for listing objects for each required sales period based on the listing information for each required sales period, or generates listing information for listing objects based on the listing information for the most common required sales period. Note that by including information such as the string "listing information for each required sales period" or the string "listing information for the most common required sales period" in the consideration information, the AI ​​agent can generate the desired listing information with greater accuracy.

[0149] Furthermore, if the consideration information includes information on the price (selling price) at which the item was sold, the AI ​​agent collects listing information for the item including information on the price (selling price) at which the item was sold, and if the consideration information includes information on the listing time (e.g., season) and the weather at the listing time, the AI ​​agent collects listing information for the item including information on the listing time (e.g., season) and the weather at that time. Note that the listing time is the time of listing when it is assumed that the item to be listed is listed within a predetermined period (e.g., within one day from the current time).

[0150] In addition, when the consideration information includes information regarding news content or items to be listed on SNS, the AI ​​agent collects information regarding news content or items to be listed on SNS.

[0151] When the consideration information includes information on the price (sales price) at which the item was sold, the AI ​​agent generates listing information for the item to be sold for each sales price range based on the listing information for each sales price range, or generates listing information for the item to be sold based on the listing information for the sales price range with the highest sales probability. Note that by including information such as the string "listing information for each sales price range" or the string "listing information for the sales price range with the highest sales probability" in the consideration information, the AI ​​agent can generate the desired listing information with greater accuracy.

[0152] Furthermore, when the consideration information includes information on the listing time (e.g., season) and weather at the listing time, the AI ​​agent acquires information on the current listing time and weather for a period from the present to a predetermined time from an external information providing device, etc., and collects listing information for items that were listed during a sales period and weather that match or are similar to the acquired listing time and weather information.The AI ​​agent then generates listing information for the items to be listed based on the collected information.

[0153] In addition, when the consideration information includes information regarding news content or items to be listed on SNS, the AI ​​agent obtains information regarding the popularity of the items to be listed in news content or on SNS, or information about news content or SNS that positively portrays the items to be listed, from an external information providing device, etc.

[0154] Based on the acquired information on trends, the AI ​​agent can, for example, include information corresponding to the trend information (e.g., if it is popular, "Trend setting!", "Sure to sell out!", etc.) in the description of the item for sale, or include information indicating a price corresponding to the trend information (e.g., a higher price if it is popular) in the listing information.

[0155] In this way, the information processing device 1 can cause the AI ​​agent to take into consideration the consideration information, and can therefore cause the AI ​​agent to generate appropriate listing information.

[0156] The generation unit 32 can inquire of the generation AI what kind of consideration information should be included in the input information together with the information of the auction item input by the user U, and can obtain an answer from the generation AI in response to the inquiry. The generation unit 32 can also obtain consideration information corresponding to the auction item from correspondence information including consideration information for each name of the auction item or consideration information for each category of the auction item.

[0157] Furthermore, the generating unit 32 can cause the AI ​​agent to generate listing information using, as input information, information further including information indicating an instruction regarding the listing information of the type corresponding to the consideration information. For example, if the consideration information is related to price fluctuation, the information indicating an instruction regarding the listing information of the type corresponding to the consideration information is "Please tell us listing information including an appropriate price for the listing object taking into consideration the consideration information" as input information to cause the AI ​​agent to generate listing information.

[0158] Furthermore, for example, when the user U inputs or selects desired information in addition to the information of the item to be put up for sale, the generating unit 32 can cause the AI ​​agent to generate the listing information using as input information information further including the desired information or information corresponding to the desired information. The desired information is information such as the character string "Want to sell quickly" or the character string "Want to sell at a high price."

[0159] For example, when the desired information is a character string "I want to sell quickly," the generating unit 32 causes the AI ​​agent to generate listing information using as input information information corresponding to the desired information further including the character string "Please set the price and description in the listing information so that it will sell quickly." The character string "I want to sell quickly" is an example of information indicating the seller's desire regarding the timing of selling the item.

[0160] Furthermore, for example, when the desired information is the character string "I want to sell it at a high price", the generating unit 32 causes the AI ​​agent to generate the listing information using as input information information corresponding to the desired information further including the character string "Please set the price and description in the listing information so that it will sell at a high price". The character string "I want to sell it at a high price" is an example of information indicating the seller's desire regarding the price of the item for sale.

[0161] In addition, the input information input to the AI ​​agent by the generation unit 32 is not limited to the examples described above, and may be information including more detailed instructions and conditions, and may also be information including constraint conditions, etc.

[0162] In addition, the generating unit 32 can cause the AI ​​agent to generate the listing information by using as input information information further including user information, which is information about a user U who owns an item to be listed. The information about the user U is, for example, attribute information about the user U, behavior history information about the user U, and the like.

[0163] The attribute information of the user U is information indicating the attributes of the user U, and the attributes of the user U are, for example, the demographic attributes and psychographic attributes of the user U. The demographic attributes are demographic attributes, for example, age, sex, occupation, place of residence, annual income, family structure, etc. The psychographic attributes are psychological attributes, for example, lifestyle, values, interests, etc.

[0164] The behavioral history information of the user U is information indicating the user U's past behavior, and includes information on the user U's past usage history of online services, etc. The information on the user U's past usage history of online services includes, for example, information on the user U's past purchase history of items listed, and information on the user U's past listing history. The information on the user U's past listing history includes listing information and sales information of items listed by the user U, etc.

[0165] The generating unit 32 can cause the AI ​​agent to generate listing information using information including, for example, a character string "Please tell us appropriate listing information when a user corresponding to the user information below puts up for sale the listing object of the information shown below. The listing information is the listing title of the item, the category of the item, the description of the item, and the price of the item. The item to be put up for sale is XXXXX" and user information as input information. The generating unit 32 can further include consideration information, desired information, and the like in the input information.

[0166] Next, the generation of listing information using a trained model without using an AI agent will be described. The trained model is, for example, the above-mentioned generation AI. Such a generation AI is, for example, a text generation AI, but may also be a combination of a text generation AI and an image processing AI.

[0167] The generating unit 32 has a trained model trained using learning information including, for example, information on items offered for sale on the flea market service and the listing information for the items, for each item that was sold and highly rated. The information on the items is information indicating the names of the items, but may include image information of the items instead of or in addition to the information indicating the names of the items.

[0168] For example, the learning information is a data set that uses information including information on the item for sale as input and targets the listing information of the item for sale, and the learning is, for example, fine tuning, but is not limited to such an example. In this case, the generation unit 32 inputs information including information on the item to be sold and information for outputting the listing information when the item to be sold is sold to the trained model as input information, and causes the trained model to generate the listing information of the item to be sold.

[0169] The trained model may be a model trained using training information further including consideration information for each item, for example. In this case, the generation unit 32 inputs information further including the consideration information as input information to the trained model, and causes the trained model to generate information on the item to be sold and listing information on the item to be sold corresponding to the consideration information.

[0170] For example, when the price (sales price) at which an item is sold is taken into consideration, the consideration information is information on the character string "by sales price range." In this case, the learning information is a data set that uses information including the character string "by sales price range" and information on the item as input and targets listing information for each sales price range of the item.

[0171] Furthermore, when the sales period required, which is the period from when an item is put up for sale to when it is sold (purchased), is taken into consideration, the consideration information is information of the character string "for each period from when an item is put up for sale to when it is sold (purchased)". In this case, the learning information is a data set that uses as input information including the character string "for each period from when an item is put up for sale to when it is sold (purchased)" and information about the item, and targets the listing information for each period required for the sales of the item.

[0172] Furthermore, when the listing period (e.g., season) of an item is taken into consideration, the consideration information is information for each listing period of the item. In this case, the learning information is a data set that receives as input information including the string "each listing period of the item" and information about the item, and targets listing information for each listing period of the item.

[0173] The trained model may be a model trained using training information further including desired information for each item, for example. In this case, the generating unit 32 inputs information including the information of the item to be sold and the desired information as input information to the trained model, and causes the trained model to generate listing information of the item to be sold corresponding to the information of the item to be sold and the desired information.

[0174] The desired information is, for example, information including the character string “I want to sell it at a high price” or information including the character string “I want to sell it quickly.” In this case, the learning information is, for example, a data set that inputs information including the desired information and the item for sale and targets the item for sale information.

[0175] The trained model may be a model trained using training information further including, for example, consideration information and desired information for each item. In this case, the generating unit 32 inputs information including the information of the item to be put up for sale, the consideration information, and the desired information as input information to the trained model, and causes the trained model to generate listing information of the item to be put up for sale according to the information of the item to be put up for sale, the consideration information, and the desired information.

[0176] The trained model may be a model trained using learning information included for each item, which further includes user information of a user U who will be the seller of the item. In this case, the generation unit 32 inputs information including, for example, the information of the item to be sold, the consideration information, the desired information, and the user information as input information to the trained model, and causes the trained model to generate listing information of the item to be sold according to the information of the item to be sold, the consideration information, the desired information, and the user information.

[0177] In addition, the input information input to the trained model may be the same as the input information input to the AI ​​agent, or may be different from the input information input to the AI ​​agent, and input information for generating appropriate listing information is input to the trained model.

[0178] The trained model may be a model other than the generative AI, such as a regression model, a neural network, or a gradient boosting decision tree, but is not limited to such models and may be other models.

[0179] In this case, the trained model is, for example, a model that calculates a high score when the listing information of an item that is the same as or similar to the listing object specified by the input information and has been sold (purchased) and highly evaluated is input, but is not limited to such an example. In addition, the trained model may be, for example, a model for each attribute of the seller, or a model for each combination of the seller's attribute and behavior.

[0180] In addition, the generation unit 32 causes the AI ​​agent or the trained model to regenerate the listing information at a predetermined timing after the listing of the item to be listed is accepted by the acceptance unit 31.

[0181] The predetermined timing may be, for example, the timing when a predetermined period of time has elapsed since the item is put up for sale, the timing when a request for re-support for listing is accepted by the acceptance unit 31, the timing when the number of views of the item after it is listed exceeds a threshold value, the timing when the number of inquiries from other users U who are considering purchasing the item for sale exceeds a threshold value, etc.

[0182] In addition, the generation unit 32 can also cause the AI ​​agent or trained model to regenerate the listing information when the predetermined period arrives if the number of inquiries from other users U who are considering purchasing the auction item within a predetermined period after the auction item is put up for sale is within a threshold.

[0183] The generating unit 32 regenerates the listing information by the same method as the above-mentioned method for generating the listing information, but for example, the generating unit 32 can regenerate the listing information by increasing the information included in the input information compared to the previous generation of the listing information. For example, if the consideration information or desired information was not included in the previous generation of the listing information, the generating unit 32 can regenerate the listing information by including the consideration information, desired information, etc. in the input information.

[0184] The generating unit 32 can also cause the AI ​​agent or the learned model to generate listing information including text information to be added to the image information of the listing object. The generating unit 32 inputs input information including information of a character string "Please let me know if appropriate text has been added to the image information of the listing object shown below" and information of the listing object (for example, image information of the listing object or information indicating the name of the listing object) to the AI ​​agent or the learned model, thereby causing the AI ​​agent or the learned model to generate listing information including text information to be added to the image information of the listing object.

[0185] [3.3.4.Providing Department 33] The providing unit 33 transmits various pieces of information to the terminal device 2 via the communication unit 10, thereby providing various pieces of information to the user U. The providing unit 33 transmits information to the terminal device 2 via, for example, an API.

[0186] For example, the providing unit 33 transmits the content acquired by the acquiring unit 30 from the content storage unit 22 to the terminal device 2, thereby providing the content to the user U. The terminal device 2 displays the content transmitted from the providing unit 33.

[0187] In addition, the providing unit 33 provides the listing information of the auction object to the user U by transmitting the listing information of the auction object generated by the generating unit 32 to the terminal device 2. For example, when the receiving unit 31 receives a listing support request or a listing re-support request, the providing unit 33 provides the listing information of the auction object to the user U.

[0188] Furthermore, when the receiving unit 31 receives an item viewing request, the providing unit 33 transmits item information, which is information on items being sold, to the terminal device 2 based on the selling history information table and the buying and selling history information table stored in the selling history information storage unit 21, thereby providing the item information to the user U. The terminal device 2 displays the item information transmitted from the providing unit 33.

[0189] Furthermore, when the user U launches the flea market app, the providing unit 33 provides information included in the flea market home screen displayed on the terminal device 2 based on a request from the terminal device 2. Fig. 8 is a diagram showing an example of the flea market home screen displayed on the terminal device 2 according to the embodiment. The flea market home screen 50 shown in Fig. 8 includes search content 51, a tab row 52, ​​content 53, and a button row 54.

[0190] The search content 51 includes a search frame and a search button. When the user U inputs a search keyword into the search frame and operates the search button, an item search request including the search keyword input into the search frame is transmitted from the terminal device 2 to the information processing device 1. When the providing unit 33 of the information processing device 1 accepts the item search request, it transmits information on items corresponding to the search keyword as search results to the terminal device 2. The search results are displayed on the terminal device 2.

[0191] The tab column 52 includes a plurality of tabs for the user U to operate information displayed on the terminal device 2. The tab column 52 shown in Fig. 8 includes a plurality of tabs such as "Saved Search Conditions", "Recommendations", "Follow", "Posts", etc. When the user U operates a desired tab among the plurality of tabs included in the tab column 52, information corresponding to the operated tab is transmitted from the providing unit 33 to the terminal device 2 and displayed on the terminal device 2.

[0192] The content 53 is, for example, content corresponding to a predetermined tab among the multiple tabs included in the tab column 52, or content corresponding to a tab selected by the user U. The button column 54 includes multiple buttons for the user U to operate information displayed on the terminal device 2. The button column 54 shown in Fig. 8 includes multiple buttons such as "Home", "Search", "Items for Sale / Belongings", "Wanted Items", and "My Page".

[0193] When the user U operates a desired button among the multiple buttons included in the button row 54, a request corresponding to the operated button is transmitted from the providing unit 33 to the terminal device 2 and is displayed on the terminal device 2.

[0194] When the button "Items / Belongings" is selected by the user U, the terminal device 2 transmits a request for the items / belongings screen to the information processing device 1. When the request for the items / belongings screen transmitted from the terminal device 2 is received by the reception unit 31, the providing unit 33 transmits and provides information contained in the items / belongings screen displayed on the terminal device 2 to the terminal device 2. As a result, the items / belongings screen is displayed on the terminal device 2.

[0195] 9 is a diagram showing an example of the listing / belongings screen displayed on the terminal device 2 according to the embodiment. The listing / belongings screen 60 shown in FIG. 9 includes a listing button row 61, a listing guide button row 62, a belongings list 63, and a listing button 64.

[0196] The listing button column 61 includes a plurality of buttons for specifying image information required for listing. The listing button column 61 shown in Fig. 9 includes a plurality of buttons such as "Take Photo", "Album", "Barcode", and "Take Image". The listing guide button column 62 includes various buttons for guiding the user U on how to list an item. The belongings list 63 includes information on the belongings of the user U that are included in the user U's belongings list.

[0197] The put up for sale button 64 is a button for setting listing information for the user U to put up for sale. When the user U selects the put up for sale button 64, the terminal device 2 transmits a listing screen request to the information processing device 1. When the listing screen request transmitted from the terminal device 2 is received by the reception unit 31, the providing unit 33 transmits information contained in the listing screen displayed on the terminal device 2 to the terminal device 2 and provides it to the terminal device 2. As a result, the listing screen is displayed on the terminal device 2.

[0198] Fig. 10 is a diagram showing an example of an auction display screen displayed on the terminal device 2 according to the embodiment. The auction display screen 70 shown in Fig. 10 includes an image information setting area 71 and an item information setting area 72. The image information setting area 71 is an area for setting image information of an item, which is part of the auction display information of the item.

[0199] The item information setting area 72 is an area for setting the remaining part of the listing information of the item. The item information setting area 72 includes an item title setting frame 721, a category setting frame 722, a status setting frame 723, a description setting frame 724, a price setting frame 725, a listing support button 726, and a listing start button 727.

[0200] The item title setting frame 721 is an area for setting (inputting) an item title that will be the title of the item being sold, the category setting frame 722 is an area for setting (inputting) a category of the item being sold, and the status setting frame 723 is an area for setting (inputting) a status of the item being sold. The description setting frame 724 is an area for setting (inputting) a description of the item being sold, and the price setting frame 725 is an area for setting (inputting) a selling price of the item being sold.

[0201] The listing support button 726 is a button for displaying an AI listing support screen for executing the listing support function, and the start listing button 727 is a button for causing the terminal device 2 to execute a process of sending a listing request including the listing information set (input) on the listing screen 70 to the information processing device 1.

[0202] When the listing support button 726 is selected by the user U, the terminal device 2 transmits a listing support screen request to the information processing device 1. When the listing support screen request transmitted from the terminal device 2 is received by the reception unit 31, the providing unit 33 transmits and provides information contained in the AI ​​listing support screen displayed on the terminal device 2 to the terminal device 2. As a result, the AI ​​listing support screen is displayed on the terminal device 2.

[0203] 11 is a diagram showing an example of an AI listing support screen displayed on the terminal device 2 according to the embodiment. The AI ​​listing support screen 80 shown in FIG. 11 includes a consideration information selection area 81, a desired information selection area 82, and a request start button 83. The consideration information selection area 81 is an area for selecting consideration information, and is, for example, a combo box for selecting one piece of consideration information from a plurality of types of consideration information determined in advance. Note that when the consideration information is selected by the generation unit 32, the consideration information selection area 81 does not need to be included in the AI ​​listing support screen 80.

[0204] The desired information selection area 82 is an area for selecting desired information, for example, a combo box for selecting one desired information from a plurality of predetermined types of desired information. The request start button 83 is a button for causing the information processing device 1 to execute the listing support function.

[0205] When the user U selects the request start button 83, the terminal device 2 transmits a listing support request to the information processing device 1. The listing support request includes information on the listing object input by the user U on the listing screen 70, and consideration information and desired information selected by the user U on the AI ​​listing support screen 80.

[0206] On the listing screen 70 shown in FIG. 10, image information of the item to be listed, a refrigerator, is set in the image information setting area 71 by the user U, and the terminal device 2 transmits an listing support request to the information processing device 1, which includes the image information of the item to be listed set by the user U and the desired information selected by the user U (the information of the character string "I want to sell it for a high price").

[0207] When the receiving unit 31 receives the listing support request transmitted from the terminal device 2, the providing unit 33 transmits the listing information of the listing object generated by the generating unit 32 to the terminal device 2 and provides it. The terminal device 2 displays the listing information provided by the providing unit 33 on the listing screen 70.

[0208] Fig. 12 is a diagram showing an example of a listing screen on which listing information provided by the providing unit 33 of the information processing device 1 according to the embodiment is set. In the listing screen 70 shown in Fig. 12, the listing information of the listing object generated by the generating unit 32 is set (input) in a listing title setting frame 721, a category setting frame 722, a status setting frame 723, a description setting frame 724, and a price setting frame 725.

[0209] Specifically, the information of the character string "Drum type 9 kg washing machine C" is set (input) in the item title setting frame 721, the information of the character string "Home appliance, washing machine, drum type washing machine" is set (input) in the category setting frame 722, and the information of the character string "Slightly damaged and dirty condition" is set (input) in the condition setting frame 723. Furthermore, the information of the character string "Hello! Thank you for looking..." is input in the description setting frame 724, and the information of "53,000 yen" is set (input) in the price setting frame 725.

[0210] If the user U is satisfied with the listing information provided by the providing unit 33 and set on the listing screen 70, he / she can operate the terminal device 2 to select the start listing button 727, thereby causing the terminal device 2 to execute a process of sending an listing request including the listing information set on the listing screen 70 to the information processing device 1.

[0211] In addition, when the user U edits the listing information provided by the providing unit 33 and set on the listing screen 70, the user U can edit the listing information provided by the providing unit 33 and set on the listing screen 70 by operating the terminal device 2.

[0212] 12, a listing re-support button 728 is arranged, and when the user U wants the information processing device 1 to regenerate the listing information provided by the providing unit 33 and set on the listing screen 70, the user U operates the terminal device 2 to select the listing re-support button 728. This allows the terminal device 2 to execute a process of transmitting a listing re-support request including the listing information set on the listing screen 70 to the information processing device 1, and allows the listing information regenerated by the generating unit 32 to be set (input) on the listing screen 70.

[0213] The providing unit 33 can also suggest to the user U to add text information corresponding to the state of the auction item identified in the auction item information generated by the generating unit 32 to the auction item information. The providing unit 33 has state correspondence information including text information corresponding to the state of the auction item for each type or category of the auction item, for example, and can use such state correspondence information to identify the text information corresponding to the state of the auction item.

[0214] In addition, when information on additional text, which is text to be added to image information of the item to be listed, is included in the listing information generated by the generation unit 32, the provision unit 33 can also suggest to the user U that the additional text information generated by the generation unit 32 be added to the listing information.

[0215] When the user U operates the terminal device 2 to select the image information setting area 71, the terminal device 2 displays an image information editing screen. Fig. 13 is a diagram showing an example of the image information editing screen displayed on the terminal device 2 according to the embodiment.

[0216] 13 includes, as text information according to the condition of the auction item, a character string "price negotiation welcome" and a character string suggesting the addition of such information, "Do you want to add the following text?". When the user U operates the terminal device 2 to select an OK button 91, the text information according to the condition of the auction item is superimposed and synthesized on the image information of the auction item. This process is performed by the terminal device 2 or the information processing device 1.

[0217] In addition, when the generation unit 32 causes the AI ​​agent or the trained model to regenerate the listing information after the listing of the item to be listed is accepted by the reception unit 31, the provision unit 33 can provide the regenerated listing information to the user U as a suggested revision to the listing information used for the listing.

[0218] The provision unit 33 can also provide the listing information regenerated by the AI ​​agent or the learned model to the user U as a suggested revision to the listing information used for the listing, for example, based on a difference between the listing information regenerated by the AI ​​agent or the learned model and the listing information used for the listing.

[0219] For example, when the difference between the regenerated listing information and the listing information used for listing is, for example, the percentage of sentences with different content or character strings, the percentage of different number of characters, etc., and such a difference is equal to or greater than a threshold value, the providing unit 33 provides the regenerated listing information to the user U as a suggested revision to the listing information used for listing.

[0220] In addition, the providing unit 33 can input, for example, a character string "Please determine whether or not there is an essential difference in content between the first information and the second information below." and information including the first information and the second information as input information into the trained model, and cause the trained model to determine the difference between the regenerated listing information and the listing information used for listing.

[0221] The first information is the listing information used for listing, and the second information is the listing information regenerated by an AI agent or a trained model. The trained model is, for example, a language model trained to estimate and output the next token from an input token string, such as an attenuation model or a transfer model.

[0222] 4. Processing Procedure Next, a procedure of information processing by the processing unit 12 of the information processing device 1 according to the embodiment will be described. Fig. 14 is a flowchart showing an example of information processing by the processing unit 12 of the information processing device 1 according to the embodiment.

[0223] 14, the processing unit 12 of the information processing device 1 determines whether or not a support request transmitted from the terminal device 2 has been accepted (step S10). The support request is, for example, a listing support request or a listing re-support request. When the processing unit 12 determines that a support request has been accepted (step S10: Yes), it generates listing information of the listing object (step S11) and provides the generated listing information of the listing object (step S12).

[0224] When the processing of step S12 is completed or when it is determined that a support request has not been accepted (step S10: No), the processing unit 12 determines whether or not an exhibition request transmitted from the terminal device 2 has been accepted (step S13). When it is determined that an exhibition request has been accepted (step S13: Yes), the processing unit 12 performs an exhibition process (step S14).

[0225] When the processing of step S14 is completed or when it is determined that the auction request has not been accepted (step S13: No), the processing unit 12 determines whether or not a view request transmitted from the terminal device 2 has been accepted (step S15). When it is determined that the view request has been accepted (step S15: Yes), the processing unit 12 provides the information that is the subject of the view request (step S16).

[0226] When the processing of step S16 is completed or when it is determined that the viewing request has not been accepted (step S15: No), the processing unit 12 determines whether or not another request transmitted from the terminal device 2 has been accepted (step S17). When it is determined that another request has been accepted (step S17: Yes), the processing unit 12 performs another process (step S18).

[0227] When the process of step S18 is completed or when it is determined that no other request has been received (step S17: No), the processing unit 12 determines whether or not the operation end timing has arrived (step S19). The processing unit 12 determines that the operation end timing has arrived when, for example, the power supply of the information processing device 1 is turned off.

[0228] If the processing unit 12 determines that the operation end time has not arrived (step S19: No), it transitions to step S10, and if it determines that the operation end time has arrived (step S19: Yes), it terminates the processing shown in FIG. 14.

[0229] 5. Modifications A part or all of the processes of the information processing device 1 described above may be performed by the terminal device 2. In this case, the terminal device 2 has a part or all of the functions of the acquisition unit 30, the reception unit 31, the generation unit 32, and the provision unit 33. In this case, the information processing device 1 and the terminal device 2 function as an information processing device, or the terminal device 2 functions as an information processing device instead of the information processing device 1.

[0230] [6. Hardware Configuration] The information processing device 1 according to the embodiment described above is realized by a computer 200 having a configuration as shown in Fig. 15, for example. Fig. 15 is a hardware configuration diagram showing an example of the computer 200 that realizes the functions of the information processing device 1 according to the embodiment. The computer 200 has a CPU 201, a RAM 202, a ROM (Read Only Memory) 203, a HDD (Hard Disk Drive) 204, a communication interface (I / F) 205, an input / output interface (I / F) 206, and a media interface (I / F) 207.

[0231] The CPU 201 operates and controls each unit based on a program stored in the ROM 203 or the HDD 204. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started up, and programs that depend on the hardware of the computer 200.

[0232] The HDD 204 stores programs executed by the CPU 201, data used by such programs, etc. The communication interface 205 receives data from other devices via a network N (see FIG. 2) and sends it to the CPU 201, and transmits data generated by the CPU 201 to other devices via the network N.

[0233] The CPU 201 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input / output interface 206. The CPU 201 acquires data from the input devices via the input / output interface 206. The CPU 201 also outputs generated data to the output devices via the input / output interface 206.

[0234] The media interface 207 reads a program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207, and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0235] For example, when the computer 200 functions as the information processing device 1 according to the embodiment, the CPU 201 of the computer 200 executes a program loaded on the RAM 202 to realize the function of the processing unit 12. In addition, the HDD 204 stores data in the storage unit 11. The CPU 201 of the computer 200 reads and executes these programs from the recording medium 208, but as another example, these programs may be obtained from another device via the network N.

[0236] [7. Other] In addition, 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 a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

[0237] In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads, usage conditions, etc.

[0238] For example, the above-mentioned information processing device 1 may be realized by a terminal device and a server computer, or may be realized by multiple server computers. Also, depending on the functions, the configuration can be flexibly changed, such as by calling an external platform using an API or network computing.

[0239] Furthermore, the above-described embodiments and modifications can be appropriately combined as long as the processing contents are not contradictory.

[0240] 8. Effects As described above, the information processing device 1 according to the embodiment includes an acquisition unit 30, a generation unit 32, and a provision unit 33. The acquisition unit 30 acquires information on an auction target, which is an item to be auctioned. The generation unit 32 inputs input information including information on the auction target acquired by the acquisition unit 30 and information for outputting the listing information when the auction target is put up for auction to an AI agent or a trained model that generates and outputs information according to the input information, and causes the AI ​​agent or the trained model to generate listing information on the auction target. The provision unit 33 provides the listing information generated by the generation unit 32. This allows the information processing device 1 to improve the convenience of the user U.

[0241] In addition, the generating unit 32 causes the AI ​​agent or the trained model to generate at least one of information indicating the auction title of the auction object, information indicating the category of the auction object, information indicating a description of the auction object, and information indicating the price of the auction object. This enables the information processing device 1 to improve the convenience of the user U.

[0242] The acquisition unit 30 acquires image information of the auction object as information of the auction object, and the generation unit 32 uses information including the image information of the auction object and information for outputting the auction information when the auction object is put up for auction as input information to cause the AI ​​agent or the trained model to generate the auction information. This enables the information processing device 1 to improve the convenience of the user U.

[0243] In addition, the generating unit 32 causes the AI ​​agent or the trained model to determine the state of the auction item from the image information of the auction item, and the providing unit 33 proposes adding text information according to the state of the auction item to the auction information. This allows the information processing device 1 to improve the convenience of the user U.

[0244] In addition, the generation unit 32 causes the AI ​​agent or the trained model to generate the listing information using, as input information, information further including consideration information that is information to be considered in generating the listing information. This allows the information processing device 1 to improve the convenience of the user U.

[0245] The consideration information includes at least one of the following information: listing information of items in the same category as the listing object, information on the listing object in news content, information on the listing object in social networking services, seasonal information, and weather information. This allows the information processing device 1 to improve the convenience of the user U.

[0246] The information processing device 1 also includes a reception unit 31 that receives listings by a user U using listing information provided by the provision unit 33, and the generation unit 32 causes an AI agent or a trained model to regenerate the listing information after the listing is received by the reception unit 31, and the provision unit 33 provides the listing information regenerated by the AI ​​agent or the trained model as a suggested revision of the listing information used for listing. This enables the information processing device 1 to improve the convenience of the user U.

[0247] The acquisition unit 30 acquires user information about the user U who is the seller of the item to be put up for sale, and the generation unit 32 uses information further including the user information as input information to cause the AI ​​agent or the trained model to generate the listing information. This allows the information processing device 1 to improve the convenience of the user U.

[0248] The acquisition unit 30 acquires desired information, which is information indicating the desire of the user U, who is the seller of the auction item, regarding at least one of the sales time and price of the auction item, and the generation unit 32 uses information further including the desired information as input information to cause the AI ​​agent or the trained model to generate the auction information. This allows the information processing device 1 to improve the convenience of the user U.

[0249] The above describes the embodiment of the present application in detail based on the drawings, but this is merely an example, and the present invention can be implemented in other forms that include various modifications and improvements based on the knowledge of those skilled in the art, including the forms described in the Disclosure of the Invention section.

[0250] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit", etc. For example, an acquisition section can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0251] 1. Information processing device 2 Terminal Equipment 10. Communications Department 11 Storage section 12 Processing section 20 User information storage unit 21 Listing history information storage unit 22 Content storage unit 30 Acquisition Department 31 Reception 32 Generation part 33 Providing Department 100 Information Processing Systems N Network

Claims

1. An acquisition unit that acquires information on an auction item that is an item to be auctioned; A generation unit inputs input information including information on the auction object acquired by the acquisition unit and information for outputting listing information when the auction object is put up for auction to an AI agent or a trained model that generates and outputs information according to the input information, and causes the AI ​​agent or the trained model to generate listing information for the auction object; A providing unit that provides the listing information generated by the generating unit.

23. An information processing apparatus comprising:

2. The generation unit is The AI ​​agent or the trained model generates at least one of information indicating an auction title of the auction object, information indicating a category of the auction object, information indicating a description of the auction object, and information indicating a price of the auction object.

2. The information processing apparatus according to claim 1,

3. The acquisition unit is Acquire image information of the auction object as information of the auction object. The generation unit is The input information includes image information of the auction object and information for outputting the auction information when the auction object is put up for auction, and the AI ​​agent or the trained model generates the auction information.

3. The information processing apparatus according to claim 1, wherein the information processing apparatus is a computer.

4. The generation unit is The AI ​​agent or the trained model is caused to determine the state of the auction object from image information of the auction object; The providing unit is Proposing addition of text information according to the state of the auction item to the auction information 4. The information processing apparatus according to claim 3.

5. The generation unit is The AI ​​agent or the trained model is caused to generate the listing information using, as the input information, information further including consideration information that is information to be considered in generating the listing information.

3. The information processing apparatus according to claim 1, wherein the information processing apparatus is a computer.

6. The consideration information is: The information includes at least one of information on items listed in the same category as the item listed, information on the item listed in news content, information on the item listed in social networking services, seasonal information, and weather information.

6. The information processing apparatus according to claim 5,

7. a reception unit that receives listings using the listing information from a user to whom the listing information has been provided by the provision unit, The generation unit is After the accepting unit accepts the listing, the AI ​​agent or the trained model is caused to regenerate the listing information; The providing unit is Providing the listing information regenerated by the AI ​​agent or the trained model as a suggested revision to the listing information used in the listing 2. The information processing apparatus according to claim 1,

8. The acquisition unit is Acquire user information which is information about a user who is a seller of the auction item; The generation unit is The AI ​​agent or the trained model generates the listing information using information further including the user information as the input information.

3. The information processing apparatus according to claim 1, wherein the information processing apparatus is a computer.

9. The acquisition unit is acquiring desired information which is information indicating a desire of a user who is a seller of the auction item regarding at least one of a sales time and a price of the auction item; The generation unit is The AI ​​agent or the trained model generates the listing information using information further including the desired information as the input information.

3. The information processing apparatus according to claim 1, wherein the information processing apparatus is a computer.

10. 1. A computer-implemented information processing method, comprising: An acquisition step of acquiring information on an auction item that is an item to be auctioned; A generation process of inputting input information including information on the auction object acquired by the acquisition process and information for outputting listing information when the auction object is put up for auction to an AI agent or a trained model that generates and outputs information according to the input information, and causing the AI ​​agent or the trained model to generate listing information on the auction object; and providing the listing information generated by the generating step.

23. An information processing method comprising:

11. an acquisition step for acquiring information on an item to be sold, the item being the item to be sold; a generation step of inputting input information including information on the auction object acquired by the acquisition step and information for outputting listing information when the auction object is put up for auction to an AI agent or a trained model that generates and outputs information according to the input information, and causing the AI ​​agent or the trained model to generate listing information on the auction object; a provision step of providing the commodity information generated by the generation step; and 2. An information processing program comprising:

Images