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

Abstract

To set rewards appropriate to content creators.SOLUTION: An information processing device according to the present invention comprises: a generation unit for generating aggregate content from a plurality of pieces of content using a generation model for generating answers to prompts; a provision unit for providing the aggregate content generated by the generation unit to users; an estimation unit for estimating details of the aggregate content provided by the provision unit and relevance to the content; and a setting unit for setting a reward to the content that is referenced by the aggregate content, in accordance with the relevance estimated by the estimation unit.SELECTED DRAWING: Figure 1

Description

Technical Field

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

Background Art

[0002] Conventionally, a technique has been proposed in which a reward is paid to a contributor such as a user according to the number of views of content posted by the contributor (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, a generation model that generates an answer to a question as a sentence has not been considered for generating content. Therefore, when providing content generated by a generation model to a user, it is required to perform an appropriate reward design for the producer of the reference content.

[0005] The present invention 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 capable of performing an appropriate reward setting for a content producer.

Means for Solving the Problems

[0006] To solve the above-mentioned problems and achieve the objective, the information processing device according to the present invention comprises: a generation unit that generates aggregate content from multiple contents using a generation model that generates responses to prompts; a provision unit that provides the aggregate content generated by the generation unit to a user; an estimation unit that estimates the relationship between the content of the aggregate content provided by the provision unit and the contents; and a setting unit that sets a reward for the contents that serve as the source of the aggregate content according to the relationship estimated by the estimation unit. [Effects of the Invention]

[0007] According to the present invention, it is possible to set appropriate compensation for content creators. [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 a reward system for a news site according to the present invention. [Figure 3] Figure 3 is a block diagram showing an example configuration of an information processing apparatus according to the embodiment. [Figure 4] Figure 4 shows an example of information stored in the content storage unit according to this embodiment. [Figure 5] Figure 5 shows an example of information stored in the user information storage unit according to the embodiment. [Figure 6] Figure 6 shows an example of a news screen according to the present invention. [Figure 7] Figure 7 shows an example of a word cloud according to this embodiment. [Figure 8] Figure 8 shows an example of an advertisement according to the embodiment. [Figure 9] Figure 9 shows an example of an advertisement placed according to this embodiment. [Figure 10] Figure 10 is a flowchart showing an example of the processing procedure for the setting process according to the embodiment. [Figure 11] Figure 11 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment. [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 relating to this application (hereinafter referred to as "embodiments"). However, these embodiments do not limit the information processing device, information processing method, and information processing program relating to this application.

[0010] [Embodiment] [1. Information Processing] First, an example of information processing according to the embodiment will be described using Figure 1. Figure 1 is a diagram showing an example of information processing according to the embodiment. The information processing according to the embodiment is realized by the information processing device 1 shown in Figure 1.

[0011] The information processing device 1 shown in Figure 1 is an information processing device that distributes various types of content. For example, the information processing device 1 provides news content to each user through a news website.

[0012] The user terminal 100 shown in Figure 1 is a terminal device owned by user U. For example, user U can operate the user terminal 100 and view news content distributed from the information processing device 1 via a news site. Although Figure 1 illustrates the case where the user terminal 100 is a smartphone, the user terminal 100 may be other devices such as a PC (personal computer).

[0013] The producer terminal 200 shown in Figure 1 is a terminal owned by the producer of news content (news articles). The producer may be an individual or belong to various media outlets such as newspapers or television stations, and produces news articles.

[0014] By the way, generally, on news sites, remuneration is paid from the news site side to the producers according to the number of views of news articles and the like. On the other hand, in recent years, generation models (generative AI) that generate text have been spreading, and it is expected that news articles generated by generation models will also be distributed on news sites.

[0015] In such a case, it is assumed that the generation model refers to news articles produced by each producer and generates new news articles, but it is necessary to also adjust and improve the remuneration settings for the producers of the news articles that are the sources of reference.

[0016] Therefore, in the present embodiment, the remuneration for each producer is set according to the relevance between the content of the news article generated by the generation model and the news articles produced by each producer.

[0017] Specifically, as shown in FIG. 1, the information processing apparatus 1 first acquires content (news article) produced by a producer from the producer terminal 200 (step S1). Subsequently, the information processing apparatus 1 generates aggregated content from a plurality of contents using a generation model that generates an answer to a prompt (step S2).

[0018] For example, the information processing apparatus 1 receives a question from the user U through the user terminal 100, selects a news article corresponding to the question, and then generates an answer to the question as aggregated content using the generation model. In the example shown in FIG. 1, the question from the user U is "Please tell me more about ○○", and the information processing apparatus 1 generates an answer to the question using the generation model. <0=

[0019] For example, as shown in FIG. 1, the aggregated content that is the answer is content generated by referring to a plurality of articles (contents) corresponding to the question. That is, it can also be said that the aggregated content is content that summarizes a plurality of news articles according to the question from the user U.

[0020] The information processing device 1 provides the generated aggregate content to user U (step S3), and then sets a reward for each article (content) according to the relationship between the aggregate content and each article (content) (step S4). For example, as shown in Figure 1, the information processing device 1 sets a reward according to the number of times each article in the aggregate content has been viewed.

[0021] More specifically, the information processing device 1 generates a collection of content consisting of multiple sections (P1 to P3 in Figure 1). The information processing device 1 then counts the total number of references for each section, with each reference being counted as "1". The information processing device 1 then sets the reward for each article as the number of references multiplied by the unit price (here, 100 yen per unit price). The information processing device 1 may also divide the collection of content into sections based on topics.

[0022] Furthermore, if certain conditions are met, such as when there is only one source article as shown in section P3 of Figure 1, the unit price is increased and the reward is set accordingly. For example, in such a case, the information processing device 1 varies the unit price according to the importance of each article when generating the collective content. This allows for appropriate reward setting according to the importance of each article. Note that the predetermined conditions are not limited to importance, and any conditions may be set.

[0023] Thus, when generating collective content using the generation model, the information processing device 1 according to the embodiment sets a reward for each article according to the relationship between the collective content and each article. Therefore, the information processing device 1 according to the embodiment can set appropriate rewards.

[0024] Next, we will explain the business model of a news site that utilizes a generative model using Figure 2. Figure 2 is a diagram showing an example of the compensation system for a news site according to this embodiment. As shown in Figure 2, the media company (producer) creates an article and then submits it to the news site platform provider (step S11).

[0025] The platform provider offers advertisers advertising space within news articles (Step S12). In other words, the platform provider sells advertisers the right to place advertisements in each news article.

[0026] Next, the advertiser submits an advertisement to the platform provider to be placed in the news article (step S13). Steps S12 and S13 may be handled automatically by the platform provider.

[0027] Subsequently, the platform provider publishes the article (Step S14) and provides the aggregated content to the user in response to user access, etc. (Step S15). When the user views the aggregated content (Step S16), the platform provider pays the media company a fee based on the relevance of the aggregated content to the article (Step S17).

[0028] Thus, in the system according to this embodiment, by selling advertising space or the right to place advertisements to advertisers, it is possible to pay remuneration to media companies using advertising fees as the source of funds.

[0029] [2. Information Processing Devices] Next, an example of the configuration of the information processing device 1 according to the embodiment will be described using Figure 3. Figure 3 is a block diagram showing an example of the configuration of the information processing device 1 according to the embodiment. As shown in Figure 3, the information processing device 1 comprises a communication unit 2, a storage unit 3, and a control unit 4. The information processing device 1 may also have an input unit (for example, a keyboard or mouse) that accepts various operations from an administrator or other user of the information processing device 1, and a display unit (for example, a liquid crystal display) for displaying various information.

[0030] The communication unit 2 is implemented, for example, by a NIC (Network Interface Card). The communication unit 2 is connected to a communication network such as 4G (4th Generation) or 5G (5th Generation) by wire or wireless connection, and transmits and receives information to and from each of the user terminals 100, producer terminals 200, etc., via the communication network.

[0031] The memory unit 3 is implemented by, for example, semiconductor memory elements such as RAM (Random Access Memory) and flash memory, or by storage devices such as hard disks and optical discs. The memory unit 3 includes a content storage unit 31, a user information storage unit 32, and a model storage unit 33.

[0032] The content storage unit 31 stores various information related to the content. The content is news articles distributed on a news website. Figure 4 shows an example of the information stored in the content storage unit 31 according to this embodiment.

[0033] As shown in Figure 4, the content storage unit 31 stores information such as "Content ID," "Creator," and "Content" in a manner that associates them with each other. The "Content ID" is an identifier used to identify each piece of content (news article).

[0034] The "creator" is the creator of the content identified by the corresponding content ID. The creator may be an individual or a company (such as a newspaper company) to which the creator belongs.

[0035] "Content" refers to data about content identified by a corresponding content ID. For example, content may include the title, thumbnail image, and the content itself (news article). Content may also include the number of views, the number of likes, and comments from experts and users on the content.

[0036] Returning to the explanation of Figure 3, the user information storage unit 32 will be described. The user information storage unit 32 stores various information about the user. Figure 5 is a diagram showing an example of the information stored in the user information storage unit 32 according to this embodiment.

[0037] As shown in Figure 5, the user information storage unit 32 stores information such as "User ID," "Registration Information," and "Browsing History" in a manner that associates them with each other. The "User ID" is an identifier used to identify each user.

[0038] "Registration information" refers to information registered on a news site by a user identified by their corresponding user ID. For example, registration information includes demographic attributes such as name, age, address, and occupation, as well as psychographic attributes such as hobbies.

[0039] "Browsing history" refers to a user's browsing history on news websites, identified by their corresponding user ID. The browsing history stores information about viewed news articles and the date and time of viewing in chronological order.

[0040] Returning to the explanation of Figure 3, let's describe the model storage unit 33. The model storage unit 33 stores the generative model. The generative model generates aggregate content that summarizes the content of news articles published on news sites. For example, the generative model is a language model that performs natural language processing, such as GPT (Generative Pre-trained Transformer) or BERT (Bidirectional Encoder Representations from Transformers).

[0041] Next, the control unit 4 will be described. The control unit 4 is a controller and is implemented, for example, by a CPU (Central Processing Unit) or MPU (Micro Processing Unit) executing various programs (corresponding to an example of an information processing program) stored in the memory device inside the information processing device 1, using RAM as the working area. The control unit 4 is also a controller and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

[0042] As shown in Figure 3, the control unit 4 comprises an acquisition unit 41, a generation unit 42, a provision unit 43, an estimation unit 44, and a setting unit 45, and realizes or executes the information processing functions and operations described below. Note that the internal configuration of the control unit 4 is not limited to the configuration shown in Figure 3, and other configurations are also possible as long as they perform the information processing described later. Furthermore, the connection relationships of the various processing units in the control unit 4 are not limited to the connection relationships shown in Figure 3, and other connection relationships are also possible.

[0043] The acquisition unit 41 acquires content (news articles) from the creator via the creator terminal 200. The acquisition unit 41 registers the acquired content in the content storage unit 31. The acquisition unit 41 also acquires information related to advertisements from advertisers, for example, and stores it in the storage unit 3.

[0044] The generation unit 42 generates aggregate content from multiple pieces of content using a generative model that generates responses to prompts. The generation unit 42 generates content based on each news article at the time the user accesses the news site when the user accesses the news site.

[0045] For example, the generation unit 42 picks up themes and highly relevant news articles corresponding to each user's interests from the content storage unit 31 and inputs these into the generation model to generate aggregate content and a title for the aggregate content. For example, aggregate content is content that summarizes multiple news articles corresponding to each theme. In this case, the generation unit 42 also inputs information about the user in addition to the news articles into the generation model.

[0046] User information includes demographic and psychographic attributes. That is, the generation unit 42 prompts the generation model to generate a collection of news articles that summarize each article according to the user's interests, etc.

[0047] Furthermore, the generation unit 42 receives a question from the user and inputs the question as a prompt into the generation model, thereby generating the answer as collective content. After the generation unit 42 has finished generating the collective content, it generates anticipated questions from the user regarding the collective content.

[0048] For example, the generation unit 42 instructs the generation model, which has finished generating the aggregate content, to input user information and generate questions that are expected to be asked by the user. The expected questions may be generated using a learning model that has learned the relationship between questions from other users and the aggregate content.

[0049] The provisioning unit 43 provides the aggregated content generated by the generation unit 42 to the user. For example, the generation unit 42 generates information about a news screen containing aggregated content and provides it to the user terminal 100.

[0050] Figure 6 shows an example of a news screen according to this embodiment. For example, when a user accesses a news site, the news screen is displayed. As shown in Figure 6, the news screen includes a news section A1, a question tab section A2, and a question input section A3.

[0051] The news section A1 displays the title and summary of each news article. Users can view the corresponding news article by selecting the news item they are interested in. The question tab section A2 displays tabs for questions that have been anticipated regarding the news items displayed in the news section A1.

[0052] For example, on the news screen, questions can be submitted by users through the Questions tab. Additionally, Question Input Field A3 is a field where users can enter their questions as text. By allowing users to enter their questions in Question Input Field A3, either as text or voice, the news screen can accept questions from users.

[0053] The generation unit 42 will then generate aggregate content using the questions received from the user through the news screen as prompts. For example, in this case, the provision unit 43 will provide the aggregate content in a chat format in response to the user's questions, and will also display anticipated questions in the question tab field A2.

[0054] In other words, by displaying anticipated questions, it is possible to encourage users to ask questions, thus acting as a facilitator to help users understand the content more deeply.

[0055] Furthermore, the news screen provided by the provisioning unit 43 is not limited to the example in Figure 6, and may be a screen that displays the titles of news articles as a word cloud. Figure 7 is a diagram showing an example of a word cloud according to the embodiment.

[0056] As shown in Figure 7, the word cloud displays the titles of each news article in their respective table formats. In addition, the name of the media outlet for the corresponding news article is displayed in the upper right corner of each title.

[0057] For example, in this case, the provision unit 43 selects news articles to provide to the user based on the user's interests and the level of attention each news article receives (e.g., number of page views), and provides the user with their titles as a word cloud.

[0058] For example, in this case, as will be explained later, the news site can sell the word cloud display format to media companies and receive publication fees from them for the news articles. Specifically, the publication fee varies depending on the size, color, and position of the title on the word cloud. For example, the larger and more prominent the title on the word cloud, the higher the publication fee.

[0059] In this way, news sites can operate soundly by charging publication fees for news articles, for example, by using these fees as a source of revenue. While this explanation focuses on displaying news article titles on a word cloud, it is also possible to display the titles of collective content on the word cloud. For example, the titles of the collective content displayed in news section A1 of Figure 6 could be displayed as a word cloud.

[0060] Furthermore, the provisioning unit 43 provides the user with the aggregated content generated by the generation unit 42. The provisioning unit 43 selects advertisements when providing the aggregated content.

[0061] For example, the service provider 43 selects advertisements that correspond to queries included in the user's question, or advertisements that correspond to queries included in the aggregated content, to be provided along with the aggregated content.

[0062] In this process, the delivery unit 43 selects an advertisement by considering the attributes of the target user in addition to the query. User attributes include demographic and psychographic attributes.

[0063] Furthermore, when selecting advertisements, the distribution unit 43 performs exclusive control based on the source article of the collective content. More specifically, if the source article is about a traffic accident, the distribution unit 43 will exclude advertisements related to cars and alcoholic beverages from the selection and select advertisements accordingly.

[0064] For example, the delivery unit 43 selects one advertisement for each section of the collective content. In this case, the delivery unit 43 selects an advertisement that is appropriate to the content of each section.

[0065] For example, in a collection of content about a particular athlete, the section related to competition might be configured to include advertisements for sports equipment and protein supplements, while the section related to diet and nutrition might include advertisements for protein supplements and other nutritional information.

[0066] Here, we will explain examples of advertisement placement in aggregated content using Figures 8 and 9. Figures 8 and 9 are diagrams showing examples of advertisement placement according to the embodiment. As shown in Figure 8, assume that advertisements AD1 to AD3 corresponding to each section P1 to P3 of the aggregated content are selected.

[0067] In this case, the display position of ad slot Ac is fixed, and the ads displayed in ad slot Ac are switched according to the screen scrolling. That is, when the user is reading section P1, ad AD1 corresponding to the content of section P1 is displayed, and when the user is reading section P2, ad AD2 corresponding to the content of section P2 is displayed.

[0068] In other words, in this case, the advertisements displayed in ad slot Ac are dynamically switched according to the content of each section, thereby increasing the appeal of each advertisement. For example, suppose in Figure 8, the user becomes interested in ad AD2 displayed in ad slot Ac. In this case, the provisioning unit 43 may also provide a function to pin (fix) ad AD2 to ad slot Ac based on the user's operation, a function to keep ad AD2 on the screen by dragging or flicking, or a function to store ad AD2 in a storage area so that the user can review ad AD2 later.

[0069] Furthermore, as shown in Figure 9, an advertising slot Ac may be provided in any section of the aggregated content. For example, in this case, the provisioning unit 43 may request the generation unit 42 to generate aggregated content that includes the selected advertisement. For example, in this case, the generation unit 42 inputs a prompt including the aggregated content and the advertisement target into the generation model and generates aggregated content that includes the advertisement target.

[0070] For example, as shown in Figure 9, sections P1 and P2 constitute the collective content, and the area following section P2 becomes the ad space Ac, where an article (text) related to the advertised subject is displayed. Note that the advertisements displayed in ad space Ac in Figure 9 are not limited to text; they may also be advertisement images.

[0071] In this way, by providing aggregated content that includes advertisements corresponding to the aggregated content, the provider unit 43 enables the news site operator to collect advertising fees from advertisers. The provider unit 43 may also, for example, provide aggregated content that directs users to a search site.

[0072] In this case, the provisioning unit 43 provides aggregated content that displays the queries included in the aggregated content. For example, in this case, when a user selects a query, the site corresponding to the query is displayed through the search site. In this case, for example, the search site can generate revenue by displaying so-called listing advertisements, etc.

[0073] Furthermore, the provisioning unit 43 may provide a collection of content including hyperlinks to each referral source, and for example, if the referral source is a paid article, it may guide the user to that paid article. For example, in this case, a portion of the sales from the paid article may be paid to the news site.

[0074] The estimation unit 44 estimates the content of the aggregated content provided by the provision unit 43 and its relevance to the content. The estimation unit 44 also estimates the relevance of the content of the aggregated content to each of the source news articles.

[0075] Specifically, the estimation unit 44 divides the aggregated content into sections and estimates relevant news articles for each section. For example, relevance here refers to whether or not an article was the source of a reference.

[0076] In this case, the estimation unit 44 may also estimate the importance of each news article. For example, the importance here is an indicator of whether or not each news article could have been substituted in generating the aggregated content.

[0077] For example, the estimation unit 44 estimates that an article is of low importance if it can be replaced by other news articles, that is, if there are many news articles with similar content, and determines that it is of high importance if there are few news articles with similar content.

[0078] The setting unit 45 sets a reward for the content that references the collective content, according to the relevance estimated by the estimation unit 44. Specifically, a fee is predetermined for each section of the collective content, and this fee is distributed to the content that references each section.

[0079] In other words, in this case, the setting unit 45 sets a higher reward for each section with fewer referral sources. This fee may be dynamically changed according to user attributes, etc.

[0080] Furthermore, the settings unit 45 sets rewards according to the number of references to the collective content for each news article. In other words, the settings unit 45 sets higher rewards for news articles that contribute more to the answers to the user's questions. In this case, the settings unit 45 sets higher rewards for news articles that are referenced more often to the collective content. Note that the user's questions may be anticipated questions or questions entered by the user.

[0081] Once the setting unit 45 sets the compensation, the news site operator makes the payment to each media company.

[0082] Furthermore, the settings unit 45 sets the publication fee for each news article on the news site. For example, in the word cloud shown in Figure 7, the settings unit 45 sets the publication fee according to the font size, color, and placement. For example, in the word cloud, the settings unit 45 sets a higher publication fee for larger fonts and more prominent colors.

[0083] In this case, the compensation for each news article is offset against the publication fee, and the remaining compensation is paid by the news site operator to each media company.

[0084] [3. Processing Flow] Next, the processing procedure executed by the information processing device 1 according to the embodiment will be described using Figure 10. Figure 10 is a flowchart showing an example of the processing procedure for the setting process according to the embodiment.

[0085] As shown in Figure 10, the information processing device 1 acquires content (news articles) from a media company (producer) (step S101). Subsequently, the information processing device 1 generates aggregated content (step S102). The information processing device 1 may generate aggregated content when a user accesses a news site, or it may generate aggregated content after receiving a question from the user.

[0086] Next, the information processing device 1 provides the generated aggregate content to the user (step S103). Subsequently, the information processing device 1 estimates the relationship between the aggregate content and each individual content (step S104).

[0087] Then, the information processing device 1 sets a reward according to the estimated correlation (step S105) and terminates the process.

[0088] [4. Variations] The embodiments described above described a case where the content is a news article, but are not limited to this. The content may also include video and audio. Furthermore, the embodiments described above described a case where aggregated content is distributed on a news site, but are not limited to this. Aggregated content may also be distributed through various social networking services (SNS) or video sites.

[0089] [5. Effects] The information processing device 1 according to this embodiment includes a generation unit 42 that generates aggregate content from multiple contents using a generation model that generates responses to prompts, a provision unit 43 that provides the aggregate content generated by the generation unit 42 to the user, an estimation unit 44 that estimates the relationship between the content of the aggregate content provided by the provision unit 43 and the content, and a setting unit 45 that sets a reward for the content that is the source of the aggregate content according to the relationship estimated by the estimation unit 44.

[0090] Furthermore, the estimation unit 44 estimates the importance of the source content within the collection of content, and the setting unit 45 sets a reward according to the importance. The setting unit 45 also sets a reward according to the number of times the content has been referenced.

[0091] Furthermore, the provisioning unit 43 provides aggregated content generated from content tailored to the user. Additionally, the generation unit 42 generates aggregated content from questions received from the user and corresponding content.

[0092] Furthermore, the provisioning unit 43 provides a collection of content consisting of multiple sections, and the setting unit 45 sets a reward for each section. The provisioning unit 43 also provides advertisements appropriate to the content of each section. In addition, the generation unit 42 generates multiple collections of content, and the provisioning unit 43 provides the titles of the collections of content as a word cloud.

[0093] Through any or a combination of the above-described processes, the information processing device according to the present invention can set appropriate compensation for content creators.

[0094] [6. Hardware Configuration] Furthermore, the information processing device 1 according to the above embodiment is realized by a computer 1000 having a configuration such as that shown in Figure 11. Figure 11 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment. 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.

[0095] The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400, controlling various components. The ROM 1300 stores boot programs executed by the CPU 1100 when the computer 1000 starts up, as well as programs that depend on the computer 1000's hardware.

[0096] The HDD1400 stores programs executed by the CPU1100, as well as data used by such programs. The communication interface1500 receives data from other devices via the network (communication network) N and sends it to the CPU1100, and transmits data generated by the CPU1100 to other devices via the network N.

[0097] The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice (in Figure 11, output devices and input devices are collectively referred to as "input / output devices") 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.

[0098] The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0099] For example, when the computer 1000 functions as an information processing device according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control unit 4 by executing programs loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be obtained from other devices via the network N.

[0100] [7. Other] Although embodiments of the present invention have been described above, the present invention is not limited by the content of these embodiments. Furthermore, the aforementioned components include those that can be easily conceived by those skilled in the art, those that are substantially the same, and those that fall within the so-called equivalent range. Moreover, the aforementioned components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the gist of the embodiments described above.

[0101] 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.

[0102] 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.

[0103] For example, the information processing device described above may be implemented using multiple server computers, and depending on the function, it may be implemented by calling external platforms, etc., via APIs (Application Programming Interfaces) or network computing, allowing for flexible configuration changes.

[0104] Furthermore, the embodiments and modifications described above can be combined as appropriate, provided that the processing content is not inconsistent.

[0105] Furthermore, the terms "section, module, unit" mentioned above can be replaced with "means" or "circuit." For example, the acquisition unit can be replaced with acquisition means or acquisition circuit. [Explanation of symbols]

[0106] 1. Information Processing Device 2 Communications Department 3 Storage section 4. Control Unit 31 Content storage unit 32 User information storage unit 33 Model Memory Unit 41 Acquisition Department 42 Generation part 43 Providing Department 44 Estimation part 45 Settings section 100 user terminals 200 Producer terminals U User

Claims

1. A generation unit that generates aggregate content from multiple pieces of content using a generation model that generates answers to prompts, A providing unit that provides the aggregated content generated by the generation unit to the user, The contents of the aggregated content provided by the providing unit, and an estimation unit that estimates the relationship between the content, A setting unit sets a reward for the content that is the source of the collective content, according to the relationship estimated by the estimation unit. Equipped with, The aforementioned supply unit is, Along with the aforementioned collection of content, the system provides the user's anticipated questions regarding the said collection of content. An information processing device characterized by the following.

2. The estimation unit, The importance of the source content in the collective content is estimated, The setting unit is, The reward is set according to the aforementioned importance. The information processing apparatus according to claim 1, characterized by the following:

3. The setting unit is, The reward is set according to the number of views of the aforementioned content. The information processing apparatus according to claim 1, characterized by the following:

4. The aforementioned supply unit is, To provide the aggregate content generated from the content corresponding to the user. The information processing apparatus according to claim 1, characterized by the following:

5. The generating unit is To generate the aggregate content generated from the questions received from the user and the corresponding content. The information processing apparatus according to claim 4, characterized by the above.

6. The aforementioned supply unit is, The aforementioned collective content consisting of multiple sections is provided, The setting unit is, Set the aforementioned reward for each section. The information processing apparatus according to claim 1, characterized by the following:

7. The aforementioned supply unit is, For each of the aforementioned sections, advertisements appropriate to the content will be provided. The information processing apparatus according to claim 6, characterized by the following:

8. The generating unit is Multiple sets of the aforementioned content are generated, The aforementioned supply unit is, To provide the titles of the aforementioned collective content as a word cloud. The information processing apparatus according to claim 1, characterized by the following:

9. A method of information processing performed by a computer, A generation process that generates aggregate content from multiple pieces of content using a generation model that generates answers to prompts, A provisioning step, which provides the aggregated content generated by the generation step to the user, An estimation step for estimating the relationship between the content of the aggregated content provided by the provision step and the content, A setting step in which a reward is set for the content that is the source of the collective content, in accordance with the relationship estimated by the estimation step, Includes, The aforementioned provisioning process is, Along with the aforementioned collection of content, the system provides the user's anticipated questions regarding the said collection of content. An information processing method characterized by the following.

10. A generation procedure for generating aggregate content from multiple pieces of content using a generation model that generates answers to prompts, A provisioning procedure for providing the aggregated content generated by the above generation procedure to the user, The contents of the collective content provided by the provision procedure, and an estimation procedure for estimating the relationship between the content, A setting procedure for setting a reward for the content that is the source of the collective content, in accordance with the correlation estimated by the estimation procedure, and Have the computer run it, The aforementioned provision procedure is, Along with the aforementioned collection of content, the system provides the user's anticipated questions regarding the said collection of content. An information processing program characterized by the following.

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