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

Abstract

Estimate comments on the article. [Solution] The information processing device according to the present invention is characterized by comprising: an acquisition unit that acquires user information and history information of a user and a first comment posted on a first article in a predetermined field; a first estimation unit that estimates a persona who is likely to post a comment that satisfies predetermined conditions as a unique persona in a predetermined field based on the acquired first comment; a detection unit that detects when a user views a second article in a predetermined field; a provision unit that, upon detection of when a user views a second article, provides a unique persona; a second estimation unit that estimates the content of a second comment that the unique persona is likely to post on the second article; and a display control unit that displays the provided unique persona and the second comment.

Description

[[Technical Field]]

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

[0002] Conventionally, technologies relating to information distribution via the Internet are known. As an example of such technologies, a technology for providing comments posted by a user on a news article to other users who have browsed the news article is known. [[Prior Art Documents]] [[Patent Documents]]

[0003] [[Patent Document 1]] Japanese Unexamined Patent Application Publication No. 2019-197422 [[Summary of the Invention]] [[Problem to be Solved by the Invention]]

[0004] However, conventional techniques leave room for improvement in terms of estimating comments on an article.

[0005] The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program that are capable of estimating comments on an article. [[Means for Solving the Problem]]

[0006] The information processing device according to the present application is characterized by comprising: an acquisition unit that acquires user information and history information of a user and a first comment posted on a first article in a predetermined field; a first estimation unit that estimates a persona who is likely to post a comment that satisfies predetermined conditions as a unique persona in the predetermined field based on the acquired first comment; a detection unit that detects when the user has viewed a second article in the predetermined field; a provision unit that, upon detection of when the user has viewed the second article, provides the unique persona; a second estimation unit that estimates the content of a second comment that the unique persona is likely to post on the second article; and a display control unit that displays the provided unique persona and the second comment. [Effects of the Invention]

[0007] According to one embodiment, it has the effect of being able to estimate comments on an article. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 shows an example of information processing according to the embodiment. [Figure 2] Figure 2 shows an example of the configuration of a terminal device according to this embodiment. [Figure 3] Figure 3 shows an example of the configuration of an information processing device according to the embodiment. [Figure 4] Figure 4 shows an example of a user information storage unit according to the embodiment. [Figure 5] Figure 5 shows an example of a history information storage unit according to the embodiment. [Figure 6] Figure 6 shows an example of a comment information storage unit according to the embodiment. [Figure 7] Figure 7 shows an example of a persona information storage unit according to the embodiment. [Figure 8] Figure 8 is a flowchart showing the information processing procedure by the information processing system according to the embodiment. [Figure 9] Figure 9 is a hardware configuration diagram showing an example of a computer that implements the functions of an information processing device. [Modes for carrying out the invention]

[0009] The following describes in detail, with reference to the drawings, the embodiments for implementing the information processing device, information processing method, and information processing program according to the present application (hereinafter referred to as "embodiments"). Note that these embodiments do not limit the information processing device, information processing method, and information processing program according to the present application. Furthermore, the same parts are denoted by the same reference numerals in each of the following embodiments, and redundant descriptions are omitted.

[0010] (Embodiment) [1. Configuration of the Information Processing System] First, with reference to Figure 1, an overview of the information processing system according to the embodiment will be described. Figure 1 is an explanatory diagram showing an overview of the information processing system according to the embodiment. As shown in Figure 1, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. The terminal device 10 and the information processing device 100 are connected to each other via a network N, either by wire or wireless, enabling communication. This allows the terminal device 10 to cooperate with the information processing device 100. The network N is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), or the Internet.

[0011] Terminal device 10 is an information processing device used by users who view articles via the internet. Users view articles (e.g., news articles) distributed through a designated web service, for example. Users also view (or attempt to view) comments posted by other readers of an article. Terminal device 10 can be any device as long as it can implement the processing described in the embodiment. Terminal device 10 may also be a smartphone, tablet, notebook PC, desktop PC, mobile phone, PDA, or other device. Figure 2 shows the case where terminal device 10 is a smartphone.

[0012] Terminal device 10 is, for example, a smart device such as a smartphone or tablet, and is a mobile terminal device that can communicate with any server device via a wireless communication network such as 4G-5G (Generation) or LTE (Long Term Evolution). Terminal device 10 also has a screen such as an LCD display that has touch panel functionality and may accept various operations on displayed data such as content from the user, such as tapping, sliding, and scrolling, using a finger or stylus. In Figure 1, terminal device 10 is used by user U1.

[0013] The information processing device 100 is an information processing device intended to estimate appropriate comments for an article, and can be any device as long as it can realize the processing in the embodiment. The information processing device 100 can be realized, for example, by a server device or cloud system that provides a predetermined article being viewed by a user, or by a server device or cloud system that provides a predetermined web service to which such predetermined article is distributed.

[0014] Furthermore, the information processing device 100 may be an information processing device that provides some kind of Web service online to each user U's terminal device 10. For example, the information processing device 100 may provide services such as internet connection, search services, SNS (Social Networking Service), e-commerce (EC), electronic payment, online games, online banking, online trading, accommodation / ticket reservations, video / music distribution, news, maps, route search, route guidance, route information, service information, and weather forecasts as Web services. In practice, the information processing device 100 may cooperate with various servers that provide the above-mentioned Web services and act as an intermediary for Web services, or it may be responsible for processing Web services.

[0015] Note that the information processing apparatus 100 is capable of acquiring user information related to a user U. For example, the information processing apparatus 100 acquires information related to attributes of the user U, such as the gender, age group, and residential area of the user U. Then, the information processing apparatus 100 stores and manages information related to the attributes of the user U together with identification information indicating the user U (such as a user ID).

[0016] In addition, the information processing apparatus 100 acquires various types of history information (log data) indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. For example, the information processing apparatus 100 acquires a location history, which is a history of the location and date / time of the user U, from the terminal device 10. In addition, the information processing apparatus 100 acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). In addition, the information processing apparatus 100 acquires a browsing history, which is a history of content browsed by the user U, from a content server. In addition, the information processing apparatus 100 acquires a purchase history (payment history), which is a history of product purchases and payment processing by the user U, from an electronic commerce server or a payment processing server. In addition, the information processing apparatus 100 may acquire a listing history and a sales history, which are histories of listings of the user U on a marketplace, from an electronic commerce server or a payment processing server. In addition, the information processing apparatus 100 acquires a posting history, which is a history of posts by the user U, from a posting server that provides word-of-mouth posting services or an SNS server. Note that the information processing apparatus 100 itself may serve as the above-mentioned various servers and the like. That is, the information processing apparatus 100 may function as the above-mentioned various servers and the like.

[0017] The information processing apparatus 100 acquires a first comment posted on a first article in a predetermined field, and estimates a unique persona for the predetermined field based on the acquired first comment. When a user browses a second article in the predetermined field, the information processing apparatus 100 provides the unique persona, estimates a second comment of the unique persona to be posted on the second article, and displays the unique persona and the second comment. Accordingly, the information processing apparatus 100 can estimate a comment for an article.

[0018] Furthermore, the information processing apparatus 100 comprises a model. The model is, for example, a text generation model trained on data and the like published on the Internet. For example, the model may be implemented by AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a text generation AI, and is a language model capable of text generation using natural language processing.

[0019] Note that although FIG. 1 illustrates a case where the terminal apparatus 10 and the information processing apparatus 100 are separate apparatuses, the terminal apparatus 10 and the information processing apparatus 100 may be integrated.

[0020] [2. Example of Information Processing] FIG. 1 is a diagram illustrating an example of information processing of the information processing system 1 according to the embodiment.

[0021] First, the information processing apparatus 100 acquires a first comment C1 posted on a first article A1 in a predetermined field (step S1). The information processing apparatus 100 acquires the first article A1. Furthermore, the information processing apparatus 100 also acquires user information and history information of a user. In the embodiment, the predetermined field relates to delivery, but may be any arbitrary field such as sports, entertainment, or politics. The first article A1 is preferably an article that is a trending topic in the predetermined field. Furthermore, it is preferable that the information processing apparatus 100 acquires the first comment C1 posted on the first article A1 for each predetermined field. That is, it is preferable that the information processing apparatus 100 acquires the first comment C1 posted on an article that is a trending topic for each predetermined field.

[0022] Next, the information processing device 100 estimates a unique persona P based on the acquired first comment C1 (step S2). Based on the acquired first comment C1, the information processing device 100 estimates a persona that is likely to post comments that meet predetermined conditions as a unique persona P. The information processing device 100 estimates the unique persona P by using a generative AI. For example, the information processing device 100 estimates the unique persona P based on the acquired first comment C1 by using a GPT model. In Figure 1, the information processing device 100 estimates unique persona P1 and unique persona P2, but it may estimate one or more unique personas depending on the article and the acquired first comment C1. The estimation of unique personas will be described later.

[0023] Comments that meet the specified conditions include comments expressing numerous opinions and comments expressing rare opinions. A rare opinion comment is, for example, a comment that expresses a valuable opinion on the first article A1, even if it is a rare opinion (for example, a comment with only one or two opinions). A valuable opinion comment is an important opinion comment on the first article A1, or an opinion comment that makes the first article A1 more engaging. In Figure 1, for example, comments expressing numerous opinions are comments from delivery drivers and users of delivery services, while comments expressing rare opinions are comments from people working in factories that manufacture the delivery products.

[0024] Next, the information processing device 100 detects that user U has viewed the second article in a predetermined field (step S3).

[0025] Next, the information processing device 100 provides a unique persona P (step S4). When the information processing device 100 detects that user U has viewed the second article A2, it provides a unique persona P.

[0026] The information processing device 100 selects and provides a unique persona P corresponding to the attributes of user U when user U is viewing the second article A2. When the information processing device 100 receives a request from user U's terminal device 10 to use the unique persona P, it provides the unique persona P to user U's terminal device 10. The information processing device 100 obtains information from user U's terminal device 10 regarding the use of the unique persona P and provides the unique persona P to user U's terminal device 10. In addition, when user U is viewing the second article A2, the information processing device 100 displays a button on the terminal device 10 asking whether or not to use the unique persona P, and if user U selects the button to use it, it provides the unique persona P to the terminal device 10. In Figure 1, for example, when user U (a male in his 20s who performs deliveries) views the second article A2, the information processing device 100 provides user U with a unique persona P1 of a male in his 20s who performs deliveries.

[0027] The information processing device 100 may provide a unique persona P to the second article A2. If the comments posted to the second article A2 do not contain user attributes related to the article, the information processing device 100 selects a unique persona P with attributes related to the article A2 and provides it to the second article A2. In Figure 1, for example, if no comments have been posted by user U (a man in his 30s who uses delivery services), the information processing device 100 provides the second article A2 with a unique persona P2 of a man in his 30s who uses delivery services.

[0028] Next, the information processing device 100 estimates the second comment C2 that the provided custom persona P will likely post to the second article A2 (step S5). The information processing device 100 estimates the content of the second comment C2 that each custom persona P will likely post to the second article A2.

[0029] For example, the information processing device 100 estimates the content of the second comment C2 that a user U with attributes corresponding to the provided custom persona P would likely post to the second article A2 when that user views the second article A2. Alternatively, the information processing device 100 estimates the content of the second comment C2 that a custom persona P provided for the second article A2 would likely post to the second article A2. In Figure 1, the information processing device 100 estimates the second comment C2 (second comment C2a and second comment C2b) to be posted to the second article A2 for each provided custom persona P.

[0030] Here, we will describe the GPT model according to the embodiment. The GPT model according to the embodiment generates a unique persona P when it receives, for example, the acquired first comment C1 and instruction information for estimating a unique persona P as prompts. Also, for example, the GPT model according to the embodiment estimates the second comment C2 when it receives the provided unique persona P and instruction information for estimating a second comment C2 as prompts.

[0031] An example of a prompt for estimating a unique persona P is: "Estimate a unique persona based on the acquired comments (first comments). Estimate a unique persona for each specified field. Estimate a unique persona based on the specified field, acquired user information and history information, and acquired comments. Estimate a unique persona from the main comments among the acquired first comments. Main comments include rare comments. Therefore, if there are comments with rare opinions among the acquired first comments, it is preferable to estimate a unique persona from the comments with rare opinions as well. Furthermore, generate a unique persona by also considering evaluations such as "like" and "agree" for each acquired first comment. The acquired comments are listed below."

[0032] An example of a prompt for estimating the second comment C2 is: "If a user viewing the article (second article) uses a persona, select a unique persona to provide to the user based on the user's user information and history information, and estimate the comment (second comment) to be posted to the second article. Also, if there are no user attributes related to the comment posted to the second article, select a unique persona of user attributes related to the second article, provide the selected unique persona to the second article, and estimate the second comment."

[0033] Next, the information processing device 100 displays the provided unique persona P and the estimated second comment C2 (step S6). As shown in Figure 1, the information processing device 100 provides the unique persona P and the second comment C2 to the terminal device 10 and displays them in the comment area CAR of the second article A2. Note that the second comment C(C2) of the second article A2 shown in Figure 1 is a comment posted by user U.

[0034] The information processing device 100 may display detailed information about the custom persona P. For example, the information processing device 100 may provide a list of custom personas P to the terminal device 10, and when user U operates on the list, it may display each custom persona P and its second comment C2.

[0035] Furthermore, the information processing device 100 may obtain feedback on a unique persona P from user U who is viewing the second article. The information processing device 100 uses the obtained feedback to train the generating AI and improve the unique persona P.

[0036] [3. Estimation of a unique persona] The information processing device 100 estimates a unique persona P based on acquired user information and history information, a predetermined field, and acquired first comments C1. The information processing device 100 estimates a unique persona P for each predetermined field. The information processing device 100 estimates a unique persona P for each predetermined field based on first comments C1 acquired from trending articles. The information processing device 100 estimates a unique persona P from the minority first comments C1 posted on first article A1. The information processing device 100 estimates a unique persona P from the majority first comments C1 posted on first article A1. The information processing device 100 estimates a unique persona by considering the evaluations (likes, agreement, etc.) for each acquired first comment C1.

[0037] The information processing device 100 estimates a unique persona P that represents the perspective of user U. The information processing device 100 estimates a unique persona P based on various attributes related to the news (occupation, age, region). The information processing device 100 estimates a unique persona P that reflects real backgrounds and episodes. The information processing device 100 may also estimate a unique persona P based on specific experiences and expertise. The information processing device 100 obtains or estimates real backgrounds, episodes, specific experiences, expertise, etc., from user information and historical information. It can also be said that the information processing device 100 estimates a unique persona P for each attribute. The information processing device 100 estimates and provides a second comment C2 corresponding to the unique persona P for each attribute.

[0038] For example, the information processing device 100 estimates a unique persona P of a local resident. For example, the information processing device 100 estimates a unique persona P of a local resident and estimates and provides the content of the local resident's second comment C2 (opinion) in an article concerning local-specific issues or the impact of policies. Examples of local residents include young people living in large cities, farmers in rural areas, and owners of accommodation facilities in tourist areas.

[0039] For example, the information processing device 100 estimates a unique persona P of a social activist. For instance, the information processing device 100 estimates a unique persona P of a social activist and provides estimated comments on the social activist's perspective and proposals in articles concerning social issues and policy changes. Examples of social activists include environmental activists, representatives of human rights organizations, and leaders of community revitalization projects.

[0040] For example, the information processing device 100 estimates a unique persona P of a person with a historical perspective. For instance, the information processing device 100 estimates a unique persona P of a person with a historical perspective and estimates and provides the content of comparative comments with the past in articles about history or articles that consider cultural influences. Examples of people with a historical perspective include historians, cultural researchers, and long-time residents of a region.

[0041] For example, the information processing device 100 estimates a unique persona P of young people. For instance, the information processing device 100 estimates a unique persona P of young people and provides estimated comments on young people's opinions and expectations in articles about trends and social changes. Examples of young people include university students, young entrepreneurs, and social media influencers.

[0042] For example, the information processing device 100 estimates a unique persona P of a person with an international perspective. For instance, the information processing device 100 estimates a unique persona P of a person with an international perspective and estimates and provides the content of comments on an international perspective in articles on international news and global issues. Examples of people with an international perspective include Japanese people living abroad, staff of international organizations, and employees of multinational corporations.

[0043] For example, the information processing device 100 estimates a unique persona P of a policymaker. For instance, the information processing device 100 estimates a unique persona P of a policymaker and provides estimated content of comments explaining the background and impact of policy decisions in articles concerning policy changes or legal amendments. Examples of policymakers include former politicians, government policy advisors, and local government officials.

[0044] For example, the information processing device 100 estimates a unique persona P of an ordinary citizen. The information processing device 100 estimates a unique persona P of an ordinary citizen and provides estimated content of comments related to the perspective of an ordinary citizen in news closely related to daily life. Examples of ordinary citizens include housewives going about their daily lives, office workers commuting to work, and retired elderly people. Furthermore, the unique persona P shown in Figure 1 may be included in the unique persona of an ordinary citizen.

[0045] The information processing device 100 estimates a unique persona P that reflects current events. The information processing device 100 updates the unique persona P based on the latest news and trends, and estimates a unique persona P that reflects current events. The information processing device 100 may periodically update the settings of the unique persona P and the second comment C2, and estimate a unique persona P that reflects current events.

[0046] The information processing device 100 estimates a first unique persona P1 and a second unique persona P2 that takes the opposite stance to the first unique persona P1. For example, the first unique persona P1 may be a persona on the provider side of goods or services, and the second unique persona P2 may be a persona on the user side of goods or services. In the example shown in Figure 1, the information processing device 100 estimates the first unique persona P1, who is on the delivery side, and the second unique persona P2, who takes the opposite stance. Alternatively, for example, the information processing device 100 may estimate the first unique persona P1 and the second unique persona P2 from a unique persona P with the same attributes. For example, the information processing device 100 may estimate the first unique persona P1 and the second unique persona P2, who takes the opposite stance to the first unique persona P1, from the same attributes (for example, a person with a historical perspective).

[0047] Furthermore, the information processing device 100 may estimate (generate) a unique persona P so that it can exchange opinions with the user U who is viewing the article.

[0048] The information processing device 100 causes the generating AI to estimate the unique persona and second comment for the example described above. Note that the above example is merely one example and is not limited to this example in practice.

[0049] [4. Configuration of terminal equipment] Next, the configuration of the terminal device 10 according to the embodiment will be described using Figure 2. Figure 2 is a diagram showing an example of the configuration of the terminal device 10 according to the embodiment. As shown in Figure 2, the terminal device 10 has a communication unit 11, an input unit 12, an output unit 13, and a control unit 14.

[0050] (Communications Section 11) The communication unit 11 is implemented, for example, by a NIC (Network Interface Card). The communication unit 11 is connected to a predetermined network N by wire or wireless connection and sends and receives information to and from the information processing device 100 via the predetermined network N.

[0051] (Input section 12) The input unit 12 receives various operations from the user. In Figure 2, it receives various operations from user U1. For example, the input unit 12 may receive various operations from the user via the display surface using a touch panel function. Alternatively, the input unit 12 may receive various operations from buttons provided on the terminal device 10, or from a keyboard or mouse connected to the terminal device 10.

[0052] (Output section 13) The output unit 13 is a display screen for a tablet terminal, for example, which is implemented using a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various types of information. For example, the output unit 13 displays content based on information transmitted from the information processing device 100.

[0053] (Control Unit 14) The control unit 14 is, for example, a controller, and is implemented by a CPU (Central Processing Unit) or MPU (Micro Processing Unit) executing various programs stored in the internal memory of the terminal device 10 using RAM (Random Access Memory) as the working area. For example, these various programs include application programs installed on the terminal device 10. For example, these various programs include application programs that display content based on information transmitted from the information processing device 100. The control unit 14 is also implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0054] As shown in Figure 2, the control unit 14 has a receiving unit 141 and a transmitting unit 142, and realizes or executes the information processing operations described below.

[0055] (Receiver 141) The receiving unit 141 receives information transmitted from, for example, the information processing device 100. For example, the receiving unit 141 receives information such as a predetermined article or voting content that the user is viewing as feedback on the user's operation.

[0056] (Transmitter 142) The transmission unit 142 transmits, for example, user operation information to the terminal device 10. For example, the transmission unit 142 transmits operation information performed by the user on the UI screen of a comment posted on a predetermined article that the user is viewing. For example, the transmission unit 142 transmits operation information such as posting a comment on an article or voting information from voting content.

[0057] [5. Configuration of Information Processing Device] Next, the configuration of the information processing device 100 according to the embodiment will be described using Figure 3. Figure 3 is a diagram showing an example of the configuration of the information processing device 100 according to the embodiment. As shown in Figure 3, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 may also have an input unit (for example, a keyboard or mouse) that receives various operations from the administrator of the information processing device 100, and a display unit (for example, a liquid crystal display) for displaying various information.

[0058] (Communications Department 110) The communication unit 110 is implemented, for example, by a NIC. The communication unit 110 is connected to the network N by wire or wireless connection and sends and receives information to and from terminal devices 10, etc., via the network N.

[0059] (Storage unit 120) The storage unit 120 is implemented by, for example, semiconductor memory elements such as RAM and flash memory, or storage devices such as hard disks and optical discs. As shown in Figure 3, the storage unit 120 includes a user information storage unit 121, a history information storage unit 122, a comment information storage unit 123, and a persona information storage unit 124.

[0060] The user information storage unit 121 stores user information about user U. For example, the user information storage unit 121 stores various information such as user U's attributes. Figure 4 shows an example of the user information storage unit 121. In the example shown in Figure 4, the user information storage unit 121 has items such as "User ID (Identifier)", "Age", "Gender", "Home", "Workplace", and "Interests".

[0061] "User ID" refers to identification information used to identify user U. Note that "User ID" may be user U's contact information (telephone number, email address, etc.) or identification information used to identify user U's terminal device 10.

[0062] Furthermore, "Age" indicates the age of user U, identified by the user ID. Note that "Age" may be information indicating user U's specific age (e.g., 35 years old), or information indicating user U's age group (e.g., 30s), or "Age" may be information indicating user U's date of birth, or information indicating user U's generation (e.g., born in the 1980s). Furthermore, "Gender" indicates the gender of user U, identified by the user ID.

[0063] Furthermore, "Home" indicates the location information of user U's home, which is identified by the user ID. In the example shown in Figure 4, "Home" is represented by an abstract code such as "LC11," but it could also be latitude and longitude information, etc. Also, for example, "Home" could be a regional name or address.

[0064] Furthermore, "Workplace" indicates the location information of the workplace (or school in the case of a student) of user U, identified by the user ID. In the example shown in Figure 4, "Workplace" is illustrated with an abstract code such as "LC12," but it may also be latitude and longitude information, etc. Also, for example, "Workplace" may be a regional name or address.

[0065] Furthermore, "Interests" indicate the interests of user U, who is identified by their user ID. In other words, "Interests" indicate the subjects of high interest to user U, who is identified by their user ID. For example, "Interests" may be search queries (keywords) that user U enters into a search engine. In the example shown in Figure 4, one "Interest" is shown for each user U, but there may be multiple interests.

[0066] For example, in the example shown in Figure 4, user U, identified by user ID "U1", is in their 20s and is male. Also, for example, user U, identified by user ID "U1", has their home address at "LC11". Furthermore, for example, user U, identified by user ID "U1", has their workplace at "LC12". Finally, for example, user U, identified by user ID "U1", is interested in "sports".

[0067] In the example shown in Figure 4, abstract values ​​such as "U1," "LC11," and "LC12" are used to illustrate the information, but it is assumed that "U1," "LC11," and "LC12" actually store specific strings, numbers, or other information. In the following diagrams relating to other information, abstract values ​​may also be used to illustrate the information.

[0068] The user information storage unit 121 is not limited to the above and may store various types of information depending on the purpose. For example, the user information storage unit 121 may store various types of information about user U's terminal device 10. The user information storage unit 121 may also store information about user U's demographic, psychographic, geographic, and behavioral attributes. For example, the user information storage unit 121 may store information such as name, family structure, place of origin (hometown), occupation, job title, income, qualifications, type of residence (detached house, apartment, etc.), whether or not a car is owned, commuting time, commuting route, commuter pass section (stations, lines, etc.), frequently used stations (stations other than the nearest station to home or work), lessons / classes (location, time, etc.), hobbies, interests, and lifestyle.

[0069] The history information storage unit 122 stores various information related to the history information (log data) that shows the user U's actions. Figure 5 shows an example of the history information storage unit 122. In the example shown in Figure 5, the history information storage unit 122 has items such as "user ID", "location history", "search history", "browsing history", "purchase history", and "posting history".

[0070] "User ID" indicates identification information used to identify user U. "Location History" indicates the location history, which is the history of user U's location and movements. "Search History" indicates the search history, which is the history of search queries entered by user U. "Browsing History" indicates the browsing history, which is the history of content viewed by user U. "Purchase History" indicates the purchase history, which is the history of purchases made by user U. "Posting History" indicates the posting history, which is the history of posts made by user U. Note that "Posting History" may also include user U's posted comments.

[0071] For example, in the example shown in Figure 5, user U, identified by user ID "U1", moves as described in "Location History #1", searches as described in "Search History #1", views content as described in "Browsing History #1", purchases specified goods at specified stores as described in "Purchase History #1", and posts as described in "Posting History #1".

[0072] In the example shown in Figure 5, abstract values ​​such as "U1", "Location History #1", "Search History #1", "Browsing History #1", "Purchase History #1", and "Posting History #1" are used for illustration. However, it is assumed that "U1", "Location History #1", "Search History #1", "Browsing History #1", "Purchase History #1", and "Posting History #1" will actually store specific strings, numbers, and other information.

[0073] The history information storage unit 122 is not limited to the above and may store various types of information depending on the purpose. For example, the history information storage unit 122 may store the user U's usage history of a specific service. The history information storage unit 122 may also store the user U's visit history to physical stores or facility visit history. The history information storage unit 122 may also store the user U's payment history (electronic payment) using the terminal device 10.

[0074] The comment information storage unit 123 stores information about the acquired comments. For example, the comment information storage unit 123 stores information about the comment content and posting date and time. Here, Figure 6 shows an example of the comment information storage unit 123 according to the embodiment. Figure 6 is a diagram showing an example of the comment information storage unit according to the embodiment. As shown in Figure 6, the comment information storage unit 123 has items such as "comment ID", "comment content", and "posting date and time".

[0075] "Comment ID" indicates identification information used to identify a comment. "Comment Content" indicates the content of the comment. In the example shown in Figure 6, conceptual information such as "Comment Content #1" and "Comment Content #2" is stored in "Comment Content," but in reality, the text of the first comment C1 is stored there. "Posting Date and Time" indicates the posting date and time the comment was posted. In the example shown in Figure 5, conceptual information such as "Posting Date and Time #1" and "Posting Date and Time #2" is stored there, but in reality, the posting date and time of the comment is stored there.

[0076] The persona information storage unit 124 stores information about the estimated persona. For example, the persona information storage unit 124 stores information such as the estimated content and the second comment. Here, Figure 6 shows an example of the persona information storage unit 124 according to the embodiment. Figure 7 is a diagram showing an example of the persona information storage unit according to the embodiment. As shown in Figure 7, the persona information storage unit 124 has items such as "persona ID", "estimated content", and "posted comment".

[0077] "Persona ID" indicates identification information to identify the estimated persona. "Estimated Content" indicates the estimated persona. In the example shown in Figure 7, conceptual information such as "Content #1" and "Content #2" is shown as being stored in "Estimated Content," but in reality, the estimated persona (for example, a 20-something male who makes deliveries) is stored there. "Estimated Comment" indicates the estimated second comment to be posted to the second article A2. In the example shown in Figure 7, conceptual information such as "Estimated Comment #1" and "Estimated Comment #2" is shown as being stored in "Estimated Comment," but in reality, the content of the comment to be posted to the second article A2 estimated according to the estimated unique persona P is stored there.

[0078] (Control unit 130) The control unit 130 is a controller, and is implemented, for example, by a CPU or MPU executing various programs stored in the memory device inside the information processing device 100 using RAM as the working area. Alternatively, the control unit 130 can be implemented by an integrated circuit such as an ASIC or FPGA.

[0079] As shown in Figure 3, the control unit 130 includes an acquisition unit 131, a first estimation unit 132, a detection unit 133, a provision unit 134, a second estimation unit 135, and a display control unit 136, and realizes or executes the information processing operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Figure 3, and other configurations are also acceptable as long as they perform the information processing described later.

[0080] (Acquisition part 131) The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 also stores the acquired information in the storage unit 120.

[0081] The acquisition unit 131 acquires various information from external information processing devices. The acquisition unit 131 also acquires various information from other information processing devices such as the terminal device 10.

[0082] The acquisition unit 131 acquires user information and history information related to user U. The acquisition unit 131 acquires articles in a predetermined field. The acquisition unit 131 acquires the first article A1 in the predetermined field. The acquisition unit 131 acquires the second article A2 in the predetermined field. The acquisition unit 131 acquires user U's first comment C1. The acquisition unit 131 acquires comments posted on articles in a predetermined field. The acquisition unit 131 acquires user U's first comment C1 posted on the first article A1 in the predetermined field. Preferably, the acquisition unit 131 acquires the first comment C1 posted on the first article A1 that is the topic of discussion for each predetermined field.

[0083] (1st estimation part 132) The first estimation unit 132 estimates a unique persona P. Based on the acquired first comment C1, the first estimation unit 132 estimates a persona that is likely to post comments that meet predetermined conditions as a unique persona P in a predetermined field. The first estimation unit 132 estimates a unique persona P by using a generative AI. For example, the first estimation unit 132 estimates a unique persona P based on the acquired first comment C1 by using a GPT model. In this embodiment, the first estimation unit 132 estimates unique persona P1 and unique persona P2, but it may estimate one or more unique personas.

[0084] The first estimation unit 132 estimates a unique persona P based on acquired user information and history information, a predetermined field, and acquired first comment C1. The first estimation unit 132 estimates a unique persona P for each predetermined field based on first comment C1 acquired from articles that are currently trending. The information processing device 100 estimates a unique persona by considering the evaluation of each acquired first comment C1.

[0085] The first estimation unit 132 estimates a unique persona with the perspective of user U. The first estimation unit 132 estimates a unique persona P based on the first comment C1 of a minority posted on the first article A1. The first estimation unit 132 estimates a unique persona P based on the first comment C1 of a majority posted on the first article. The first estimation unit 132 estimates a unique persona P based on various attributes related to the news (occupation, age, region, etc.). The first estimation unit 132 estimates a unique persona P that reflects real backgrounds and episodes. The first estimation unit 132 may also estimate a unique persona P based on specific experiences and expertise. The first estimation unit 132 obtains or estimates real backgrounds, episodes, specific experiences, expertise, etc. from user information and history information. It can also be said that the first estimation unit 132 estimates a unique persona P for each attribute.

[0086] For example, the first estimation unit 132 estimates a unique persona P of local residents. For example, the first estimation unit 132 estimates a unique persona P of social activists. For example, the first estimation unit 132 estimates a unique persona P of individuals with a historical perspective. For example, the first estimation unit 132 estimates a unique persona P of young people. For example, the information processing device 100 estimates a unique persona P of individuals with an international perspective. For example, the first estimation unit 132 estimates a unique persona P of policymakers. For example, the first estimation unit 132 estimates a unique persona P of ordinary citizens.

[0087] The first estimation unit 132 estimates a unique persona that reflects current events. The first estimation unit 132 updates the unique persona P based on the latest news and trends, and estimates a unique persona P that reflects current events. The first estimation unit 132 may periodically update the settings of the unique persona P and the second comment C2, and estimate a unique persona P that reflects current events.

[0088] The first estimation unit 132 estimates a first unique persona P1 and a second unique persona P2 that takes the opposite stance to the first unique persona P1. For example, the first unique persona P1 may be a persona of the provider of goods or services, and the second unique persona P2 may be a persona of the user of goods or services.

[0089] Furthermore, the first estimation unit 132 may estimate a first unique persona P1 and a second unique persona P2 within the same attributes. For example, the first estimation unit 132 may estimate a first unique persona P1 and a second unique persona P2 that takes the opposite stance to the first unique persona P1 within the same attributes (for example, a person with a historical perspective).

[0090] Furthermore, the first estimation unit 132 may obtain feedback on a unique persona P from user U who is viewing the second article. The first estimation unit 132 uses the obtained feedback to train the generating AI and improve the unique persona P.

[0091] Furthermore, the first estimation unit 132 may estimate (generate) a unique persona P so that it can exchange opinions with user U who is viewing the article.

[0092] (Detection unit 133) The detection unit 133 detects that user U has viewed the second article A2 in a predetermined field.

[0093] (Provider 134) The provisioning unit 134 provides a unique persona P. When the provisioning unit 134 detects that user U has viewed the second article A2, it provides the unique persona P. When user U is viewing the second article A2, the provisioning unit 134 selects and provides a unique persona P that corresponds to user U's attributes. For example, when the provisioning unit 134 receives a request from user U's terminal device 10 to use the unique persona P, it provides the unique persona P to user U's terminal device 10. The provisioning unit 134 obtains information from user U's terminal device 10 regarding the use of the unique persona P and provides the unique persona P to user U's terminal device 10. Also, for example, when user U is viewing the second article A2, the provisioning unit 134 displays a button on the terminal device 10 asking whether or not to use the unique persona P, and if user U selects the button to use it, it provides the unique persona P to the terminal device 10.

[0094] The provisioning unit 134 may provide a unique persona P to the second article A2. If the comments posted to the second article A2 do not contain user attributes related to the second article A2, the provisioning unit 134 selects a unique persona P with user attributes related to the second article A2 and provides it to the second article A2.

[0095] (Second estimation part 135) The second estimation unit 135 estimates the content of the second comment C2 that the unique persona P provided by the provision unit 134 would likely post to the second article A2. The second estimation unit 135 estimates the content of the second comment C2 that each unique persona P would likely post to the second article A2.

[0096] For example, the second estimation unit 135 estimates the content of a second comment C2 that user U, whose attributes correspond to a unique persona P, would likely post to the second article A2 when that user U views the second article A2. Also, for example, the second estimation unit 135 estimates the content of a second comment that a unique persona P provided to the second article A2 would likely post to the second article A2.

[0097] The second estimation unit 135 estimates the content of the second comment C2 corresponding to the unique persona P for each attribute.

[0098] For example, the second estimation unit 135 estimates the content of the second comment C2 (opinion) corresponding to a unique persona P of local residents in articles concerning region-specific issues or the impact of policies. Also, for example, the second estimation unit 135 estimates the content of the second comment C2 concerning the perspective and proposals corresponding to a unique persona P of social activists in articles concerning social issues or policy changes. Also, for example, the second estimation unit 135 estimates the content of the second comment C2 corresponding to a unique persona P of a person with a historical perspective in articles concerning history or articles that consider cultural impacts. Also, for example, the second estimation unit 135 estimates the content of the second comment C2 corresponding to a unique persona P of young people in articles concerning trends or social change. Also, for example, the second estimation unit 135 estimates the content of the second comment C2 corresponding to a unique persona P of a person with an international perspective in articles concerning international news or global issues. For example, the second estimation unit 135 estimates the content of a second comment C2 corresponding to a unique persona P of a policymaker in articles concerning policy changes or legal amendments. The second estimation unit 135 also estimates the content of a second comment C2 corresponding to a unique persona P of an ordinary citizen in news closely related to daily life.

[0099] (Display control unit 136) The display control unit 136 displays the unique persona P and the second comment C2. The display control unit 136 provides the unique persona P and the second comment C2 to the terminal device 10, causing them to be displayed in the comment area CAR of the second article A2.

[0100] The display control unit 136 may display detailed information about the custom persona P. For example, the display control unit 136 may provide the terminal device 10 with a list of custom persona P, and when user U manipulates the list, it may display each custom persona P and its second comment C2.

[0101] [6. Information Processing Flow] Next, the information processing procedure by the information processing system 1 according to the embodiment will be explained using Figure 8. Figure 8 is a flowchart showing the information processing procedure by the information processing system 1 according to the embodiment.

[0102] As shown in Figure 8, the information processing device 100 obtains the first comment C1 posted to the first article A1 in a predetermined field (step S101).

[0103] The information processing device 100 estimates a unique persona P based on the acquired first comment C1 (step S102).

[0104] The information processing device 100 detects that user U has viewed the second article A2 (step S103).

[0105] The information processing device 100 provides a unique persona (step S104).

[0106] The information processing device 100 estimates the second comment that the unique persona would likely post to the second article (step S105).

[0107] The information processing device 100 displays the provided unique persona and second comment (step S106).

[0108] [7. Variations] The terminal device 10 and information processing device 100 described above may be implemented in various different forms other than those described in the above embodiment. Therefore, modifications of the embodiment will be described below.

[0109] In the above embodiment, some or all of the processing performed by the information processing device 100 may actually be performed by the terminal device 10 (or an application running on the terminal device 10). For example, the terminal device 10 may perform all processing in a standalone manner. In this case, the terminal device 10 is assumed to be equipped with the functions of the information processing device 100 in the above embodiment. Furthermore, in the above embodiment, since the terminal device 10 is in cooperation with the information processing device 100, from the perspective of the user U, it appears as if the processing of the information processing device 100 is also being performed by the terminal device 10. In other words, from another perspective, it can be said that the terminal device 10 is equipped with the information processing device 100.

[0110] Furthermore, in the above embodiment, the information processing device 100 may estimate a unique persona, for example, as described below, and estimate a second comment to be posted to the second article.

[0111] If the second article is about "measures to address traffic congestion in urban areas," the information processing device 100 estimates a unique persona of a company employee in their 30s who uses a car during commuting hours from the first comment posted to the first article about urban transportation, and estimates a second comment such as, "If public transportation improves, I might be able to commute without using a car. However, currently, a car is the most convenient option."

[0112] If the second article is about "the introduction of new educational policies," the information processing device 100 estimates a unique persona of a female elementary school teacher in her 40s from the first comment posted to the first article on educational policies, and estimates a second comment such as, "The new educational policies are ideal, but there are many challenges to their implementation in practice. Measures to reduce the burden on teachers are also necessary."

[0113] Please note that the above example is merely one example and is not the only example that is actually applicable.

[0114] [8. Effects] As described above, the information processing device 100 according to the embodiment is characterized by comprising: an acquisition unit 131 that acquires user information and history information of user U and a first comment C1 posted to a first article A1 in a predetermined field; a first estimation unit 132 that estimates a persona that is likely to post a comment that satisfies predetermined conditions as a unique persona in a predetermined field based on the acquired first comment C1; a detection unit 133 that detects user U viewing a second article A2 in a predetermined field; a provision unit 134 that provides a unique persona P when it is detected that user U has viewed the second article A2; a second estimation unit that estimates the content of a second comment C2 that the unique persona P is likely to post to the second article A2; and a display control unit that displays the provided unique persona P and the second comment C2.

[0115] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0116] Furthermore, the first estimation unit 132 estimates a unique persona P based on the acquired user information and history information, a predetermined field, and the acquired first comment C1.

[0117] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0118] Furthermore, the first estimation unit 132 estimates a unique persona P based on the first comment C1 posted by a minority group on the first article A1.

[0119] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0120] Furthermore, the first estimation unit 132 estimates a unique persona P based on the first comment C1 of the majority posted to the first article A1.

[0121] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0122] Furthermore, the first estimation unit 132 estimates a unique persona P that represents the perspective of user U.

[0123] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0124] Furthermore, the first estimation unit 132 estimates a unique persona P that reflects current events.

[0125] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0126] Furthermore, the first estimation unit 132 estimates a first unique persona P1 and a second unique persona P2 that takes the opposite stance to the first unique persona P1.

[0127] As a result, the information processing device 100 according to the embodiment can more appropriately estimate comments on an article and enhance the article's appeal.

[0128] The first estimation unit 132 obtains feedback from a unique persona P provided by user U, who is viewing the second article A2, and uses the obtained feedback to train the generating AI.

[0129] As a result, the information processing device 100 according to this embodiment can more accurately estimate comments on articles.

[0130] The first estimation unit 132 generates a unique persona P so that it can exchange opinions with user U who is viewing the second article A2.

[0131] As a result, the information processing device 100 according to this embodiment can enhance the article.

[0132] The provision unit 134 selects a unique persona P corresponding to the attributes of user U when user U views the second article A2 and provides it to user U. The second estimation unit 135 estimates the content of the second comment C2 that user U, whose attributes correspond to the unique persona P, would likely post to the second article A2 when user U views the second article.

[0133] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0134] If the second comment C(C2) posted to the second article A2 does not contain the attributes of user U associated with the second article A2, the provision unit 134 selects a unique persona P with the attributes of user U associated with the second article A2 and provides it to the second article A2. The second estimation unit 135 estimates the second comment C2 that the unique persona P provided to the second article A2 would likely post to the second article A2.

[0135] As a result, the information processing device 100 according to this embodiment can estimate comments on an article.

[0136] The display control unit 136 displays detailed information about the custom persona P.

[0137] As a result, the information processing device 100 according to the embodiment can display the details of a unique persona.

[0138] [9. Hardware Configuration] Furthermore, the information processing device 100 according to the above-described embodiment is realized by a computer 1000 having the configuration shown in Figure 9. Figure 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device 100. The computer 1000 has a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

[0139] The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400, and controls various parts. The ROM 1300 stores boot programs executed by the CPU 1100 when the computer 1000 starts up, as well as programs that depend on the computer 1000's hardware.

[0140] The HDD1400 stores programs executed by the CPU1100, as well as data used by such programs. The communication interface1500 acquires data from other devices via a predetermined communication network and sends it to the CPU1100, and transmits data generated by the CPU1100 to other devices via the predetermined communication network.

[0141] The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via the input / output interface 1600. The CPU 1100 acquires data from input devices via the input / output interface 1600. The CPU 1100 also outputs the generated data to output devices via the input / output interface 1600.

[0142] The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 can be, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), tape media, magnetic recording medium, or semiconductor memory.

[0143] For example, when the computer 1000 functions as an information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be obtained from other devices via a predetermined communication network.

[0144] [10. Other] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown.

[0145] Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions.

[0146] Furthermore, the embodiments described above can be combined as appropriate, as long as the processing content is not contradictory.

[0147] Although some embodiments of the present invention have been described in detail above with reference to the drawings, these are illustrative examples, and the present invention can be implemented in various other forms with modifications and improvements based on the knowledge of those skilled in the art, starting with the embodiments described in the disclosure section of the invention.

[0148] Furthermore, the terms "section, module, unit" mentioned above can be replaced with "means" or "circuit," etc. For example, the acquisition unit can be replaced with acquisition means or acquisition circuit. [Explanation of Symbols]

[0149] 1. Information Processing System 10 Terminal devices 11 Communications Department 12 Input section 13 Output section 14 Control Unit 100 Information Processing Devices 110 Communications Department 120 Storage section 121 User information storage unit 122 History Information Storage Unit 123 Comment Information Storage Unit 124 Persona Information Memory Unit 130 Control Unit 131 Acquisition Department 132 1st estimation part 133 Detection unit 134 Provision Department 135 Second estimation part 136 Display Control Unit 141 Receiving Unit 142 Transmitter N Network

Claims

1. An acquisition unit that acquires the user's user information and history information and the first comment posted on the first article in a specified field, Based on the acquired first comment, a first estimation unit estimates a persona that is likely to post a comment that meets predetermined conditions as a unique persona in the predetermined field, A detection unit for detecting the user's viewing of a second article in the predetermined field, When it is detected that the user has viewed the second article, the provisioning unit that provides the unique persona, A second estimation unit estimates the content of a second comment that the aforementioned unique persona would likely post to the second article, A display control unit that displays the provided proprietary persona and the second comment, An information processing device characterized by having the following features.

2. The first estimation unit estimates the unique persona based on the acquired user information and history information, the predetermined field, and the acquired first comment. The information processing apparatus according to feature 1.

3. The first estimation unit estimates the unique persona based on the first comment from a minority group posted on the first article. The information processing apparatus according to claim 1 or 2.

4. The first estimation unit estimates the original persona based on the first comment from the majority posted on the first article. The information processing apparatus according to claim 1 or 2.

5. The first estimation unit estimates the unique persona for each attribute of the user. The information processing apparatus according to claim 1 or 2.

6. The first estimation unit estimates the original persona that reflects current events. The information processing apparatus according to claim 1 or 2.

7. The first estimation unit estimates a first unique persona and a second unique persona that takes the opposite stance to the first unique persona. The information processing apparatus according to claim 1 or 2.

8. The first estimation unit obtains feedback on the unique persona provided by users viewing the second article, and instructs the generating AI to learn from the obtained feedback. The information processing apparatus according to claim 1 or 2.

9. The first estimation unit generates a unique persona so that it can exchange opinions with users who are viewing the second article. The information processing apparatus according to claim 1 or 2.

10. The provisioning unit, when the user views the second article, selects the unique persona corresponding to the user's attributes and provides it to the user. The second estimation unit estimates the content of the second comment that a user with attributes corresponding to the unique persona would likely post to the second article when that user views the second article. The information processing apparatus according to claim 1 or 2.

11. If the comment posted to the second article does not contain user attributes related to the second article, the aforementioned provision unit will select a unique persona of user attributes related to the second article and provide it to the second article. The second estimation unit estimates the content of the second comment that the unique persona provided for the second article would likely post to the second article. The information processing apparatus according to claim 1 or 2.

12. The display control unit displays detailed information of the unique persona. The information processing apparatus according to claim 1 or 2.

13. A method of information processing performed by a computer, The acquisition process involves obtaining the user's user information and history information, and the first comment posted on the first article in a specified field. Based on the first comment obtained, a first estimation step is performed to estimate a persona who is likely to post a comment that meets predetermined conditions as a unique persona in the predetermined field, A detection step for detecting the user's viewing of a second article in the predetermined field, Upon detecting that the user has viewed the second article, the process of providing the unique persona is carried out. A second estimation step involves estimating the content of a second comment that the aforementioned unique persona would likely post to the second article, A display control step that displays the provided proprietary persona and the second comment, An information processing method characterized by including

14. A procedure for obtaining user information and history information of a user, and the first comment posted on the first article in a specified field. A first estimation procedure for estimating, based on the first comment obtained, a persona that is likely to post a comment that meets predetermined conditions as a unique persona in the predetermined field, A detection procedure for detecting the user's viewing of a second article in the predetermined field, Upon detecting that the user has viewed the second article, the procedure for providing the unique persona is performed, A second estimation procedure for estimating the content of the second comment that the aforementioned unique persona would likely post to the second article, A display control procedure for displaying the provided proprietary persona and the second comment, An information processing program characterized by causing a computer to execute it.

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