Information processing device, information processing method, and information processing program
The information processing device addresses the challenge of ensuring that supplementary sentences generated for questions in large-scale language models accurately reflect the poster's intentions by using a GPT model to generate supplementary posting information, thereby enhancing the clarity and completeness of the information presented.
Patent Information
- Application Number
- JP2023180961
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-10-20
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2043-10-20
AI Technical Summary
Existing techniques for generating supplementary sentences for questions in large-scale language models do not adequately ensure that the generated text accurately reflects the poster's intentions, particularly in complementing missing explanations and information in posted documents.
An information processing device comprising an acquisition unit for obtaining posting information, viewer information, and a generation unit that generates supplementary posting information using a GPT model to enhance understanding of the poster's intentions, is proposed.
The solution effectively supplements text to accurately reflect the poster's intentions, improving the clarity and completeness of the information presented to viewers.
Smart Images

Figure 2025070548000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]
[0002] A technique has been disclosed for generating a prompt that includes a valid sentence as reference information in response to an input question sentence (see Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent No. 7325152 Summary of the Invention [Problem to be solved by the invention]
[0004] However, there is room for improvement in the above conventional technology. For example, the above conventional technology can generate additional text related to a question text with a total number of characters, including the number of characters in the question text, that does not exceed the limit on the number of characters that can be input to the answer generation section of a large-scale language model (LLM), but there is room for improvement in terms of supplementing missing explanations and information in a document posted by a poster to create a sufficient text. Therefore, there is a demand for a technology that can supplement the text so that it properly reflects the poster's intention.
[0005] The present application has been made in consideration of the above, and aims to supplement text so that it appropriately reflects the poster's intentions. [Means for solving the problem]
[0006] The information processing device of the present application is characterized by comprising: an acquisition unit that acquires posted information posted by a poster for a specified content and viewer information which is user information of a viewer who views the posted information; a generation unit that generates supplemental posted information for viewing based on the specified content, the posted information, and the viewer information, supplementing the posted information with information for the viewer to understand the poster's intention regarding the posted information; and a display unit that displays the generated supplemental posted information for viewing. Effect of the Invention
[0007] According to one aspect of the embodiment, the text can be supplemented so that it appropriately reflects the poster's intention. [Brief description of the drawings]
[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Diagram 3] FIG. 3 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 4] FIG. 4 is a flowchart showing a processing procedure according to the embodiment. [Diagram 5] FIG. 5 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0009] Hereinafter, the information processing device, the information processing method, and the information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to the embodiments. In addition, the same components in the following embodiments are denoted by the same reference numerals, and duplicated descriptions are omitted.
[0010] [1. Overview of the information processing system] First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. As shown in Fig. 1, an information processing system 1 according to an embodiment includes a terminal device 10 and a server device 100. These various devices are connected to each other via a network N in a wired or wireless manner so as to be able to communicate with each other. This allows the terminal device 10 to cooperate with the server device 100. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.
[0011] The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 is a smart device such as a smartphone or a tablet terminal, a mobile phone such as a feature phone, a personal computer (PC), a personal digital assistant (PDA), a game machine or AV device equipped with a communication function, an information appliance or digital appliance, a car navigation system, a smart watch or a head-mounted display, a wearable device such as smart glasses, etc. The terminal device 10 may also be a house or building, a car, a home appliance, an electronic device, etc. that supports the Internet of Things (IOT).
[0012] In this embodiment, the terminal device 10 is a smart device such as a smartphone or tablet terminal used by a user U, and is a mobile terminal device that can communicate with any server device via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system). The terminal device 10 has a screen such as a liquid crystal display having a touch panel function, and accepts various operations on display data such as content, such as tapping, sliding, and scrolling, performed by a finger or a stylus from the user U. An operation performed on an area of the screen where the content is displayed may be regarded as an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.
[0013] In addition, the terminal device 10 can connect to the network N via a wireless communication network such as LTE, 4G, or 5G, or a short-range wireless communication such as Bluetooth (registered trademark) or a wireless LAN (Local Area Network), and communicate with the server device 100.
[0014] The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or a workstation, etc. The server device 100 may be realized by cloud computing.
[0015] In this embodiment, the server device 100 is an information processing device that cooperates with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter, apps), etc., as well as various data, to the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.
[0016] The server device 100 may also be an information processing device that provides some kind of online Web service to the terminal device 10 of each user U. For example, the server device 100 may provide services such as Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecasts as Web services. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned Web services, and may mediate the Web services or be responsible for processing the Web services.
[0017] The server device 100 can acquire user information about the user U. For example, the server device 100 acquires, as the user information, information (attribute information) about the attributes of the user U, such as the gender, age, and residential area of the user U. The server device 100 can also acquire information about the attributes of the user U, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. The server device 100 stores and manages the information (attribute information) about the attributes of the user U together with identification information (user ID, etc.) indicating the user U.
[0018] The server device 100 also acquires various types of history information (log data) indicating the actions 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 server device 100 acquires a location history, which is a history of the location and date and time of the user U, from the terminal device 10. The server device 100 also acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). The server device 100 also acquires a browsing history, which is a history of content browsed by the user U, from a content server. The server device 100 also 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. The server device 100 may also acquire a listing history, which is a history of listings on the marketplace by the user U, and a sales history, from the electronic commerce server or the payment processing server. The server device 100 also acquires a posting history, which is a history of posts by the user U, from a posting server that provides a word-of-mouth posting service or an SNS server. The above-mentioned various servers and the like may be the server device 100 itself. That is, the server device 100 may function as the above-mentioned various servers and the like.
[0019] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 1 is not limited to that shown in the figure. For example, in Fig. 1, for the sake of simplicity, only one terminal device 10 is shown, but this is merely an example and is not limiting, and two or more devices may be included.
[0020] [2. Sentence completion by AI] In this embodiment, the terminal device 10 of user U is a text generation AI (Artificial Intelligence) and uses a GPT (Generative Pretrained Transformer) model, which is a language model capable of generating sentences using natural language processing, to complement the posted sentence when the poster posts the sentence or when the viewer views the sentence.
[0021] In this embodiment, the user U refers to a poster P and a viewer A. The terminal device 10 of the user U refers to a terminal device 10P of the poster P and a terminal device 10A of the viewer A. In other words, the poster P and the viewer A are both one of the users U, and the terminal device 10P of the poster P and the terminal device 10A of the viewer A are both one of the terminal devices 10.
[0022] [2-1. Assistance with writing when submitting] The terminal device 10P of the poster P cooperates with the server device 100 or uses an application function to assist (support) the text (comment text) posted by the poster P in conformity with the intention of the poster P. In other words, the terminal device 10P rewrites the comment text to conform with the poster's intention.
[0023] For example, as shown in FIG. 1, when the poster P posts posted information to a given content (before posting), the terminal device 10P of the poster P acquires the posted information posted by the poster P (step S1).
[0024] The predetermined content is content that can be displayed in a browser, an app, etc., and is content related to a predetermined theme, article, topic, etc. The predetermined content may be content that allows a text to be posted, or may be content that allows the posted text to be sent to a predetermined recipient in the form of a message, voice, etc. The posted information includes at least the text (the body of the comment), and may further include image data such as photos and videos, and voice and music data, etc.
[0025] Next, the terminal device 10P of the poster P generates a prompt (instruction sentence) for complementing the posted information in cooperation with the server device 100 or by using a function of the application (step S2).
[0026] Here, the terminal device 10P of the poster P generates a prompt to complement the posted information, instructing the poster P to generate complemented posted information by adding information (missing information, additional information) that is estimated to be missing from the posted information compared to the poster P's intention to the posted information.
[0027] At this time, the terminal device 10P of the poster P may generate a prompt to generate information in accordance with the poster P's intention as a prompt for complementing the posted information.
[0028] In addition, the terminal device 10P of the poster P may generate a prompt to generate complemented posted information so that any user U (viewer) can easily understand the specified content by simply referring to the complemented posted information, as a prompt to complement the posted information.
[0029] For example, the terminal device 10P of the poster P generates a prompt such as "Please output a sentence in which the target comment content has been rewritten in accordance with a specified condition." In addition, the terminal device 10P of the poster P specifies (sets) as examples of the specified conditions, "Add a comment to supplement the insufficient explanation by understanding the intention of the comment poster," "Make the comment easier to understand by comparing the linked article content with the comment content," and so on.
[0030] In practice, the terminal device 10P of the poster P may select and obtain an appropriate prompt from among prompts that have been generated and stored in advance in accordance with the specified content and posted information, rather than generating a prompt (instruction statement) to complement the posted information each time.
[0031] Next, the terminal device 10P of the poster P inputs the predetermined content, the posted information, and a prompt for complementing the posted information to the GPT model, and generates the complemented posted information using the GPT model (step S3). At this time, the terminal device 10P of the poster P may treat the information output by the GPT model as the complemented posted information.
[0032] The terminal device 10P of the poster P may further input the poster P's past posted comments (past posted information) to the GPT model. The terminal device 10P of the poster P may further input the poster P's reply comments from viewers to the poster P's past (or immediately previous) posted comments to the GPT model.
[0033] For example, the terminal device 10P of poster P inputs the “target comment,” “linked article content,” “reply comment content to the target comment,” “past comment content of the poster,” etc., along with a prompt, as input data into the GPT model, and obtains the supplemented posting information generated by the GPT model.
[0034] In this way, the terminal device 10P of the poster P generates supplemented posted information by adding information that is estimated to be lacking in the posted information in comparison with the intention of the poster P, based on the predetermined content and the posted information for the predetermined content. For example, the terminal device 10P of the poster P generates supplemented posted information by supplementing (or filling in) so-called insufficient explanations or insufficient clarifications in the original posted information.
[0035] Next, the terminal device 10P of the poster P displays the generated complemented posted information, and displays the added portion added to the posted information (the portion changed from the posted information) in a display mode (different color, emphasis, etc.) that makes it distinguishable from other text (step S4). That is, the terminal device 10P of the poster P makes the poster P confirm whether the added portion added to the posted information in the generated complemented posted information is appropriate.
[0036] If the text of the posted information is corrected when generating the complemented posted information, the terminal device 10P of the poster P may display the text before and after the correction so that they can be compared. In addition, the terminal device 10P of the poster P may also display the reason for the correction.
[0037] The terminal device 10P of the poster P confirms with the poster P whether or not the poster P agrees to post the generated complemented posted information (step S5). That is, the terminal device 10P of the poster P inquires of the poster P whether or not to post the complemented posted information as posted information.
[0038] Next, if the poster P agrees to post the complemented posted information (if OK), the terminal device 10P of the poster P posts the generated complemented posted information to the predetermined content (step S6). Note that the posting destination may be a web page, SNS, app, etc. on which the predetermined content is posted.
[0039] Conversely, if the poster P does not agree to posting the complemented posted information (NG), the terminal device 10P of the poster P accepts from the poster P a correction to the generated complemented posted information (the additional part added to the posted information) and posts the corrected complemented posted information to the specified content (step S7).
[0040] Alternatively, if the poster P does not agree to posting the complemented posted information (NG), the terminal device 10P of the poster P may generate a prompt to complement the posted information by taking into account the poster P's intention again, and regenerate the complemented posted information. That is, the terminal device 10P of the poster P receives the current result (the poster P's intention), returns to step S2, generates a prompt (instruction statement) reflecting the current result, and generates the complemented posted information again.
[0041] In the above description, a part or all of the processes executed by the terminal device 10P of the poster P may actually be executed by the server device 100.
[0042] [2-2. Supplementary information for viewing] The terminal device 10A of the viewer A, in cooperation with the server device 100 or by using the function of an application, generates supplemental information to make it easier for the viewer A to understand the intention of the poster P when the viewer A views the text (the comment body) posted by the poster P. In other words, the terminal device 10A supplements the intention of the poster P according to the user reading the comment body so that the intention of the poster P can be easily understood.
[0043] For example, as shown in FIG. 1, the terminal device 10A of the viewer A acquires posted information posted by a contributor P to a predetermined content and user information (viewer information) of the viewer A who views the posted information (step S11).
[0044] The posted information posted by poster P may be the above-mentioned supplemented posted information. The user information (viewer information) of viewer A is comments that viewer A has viewed in the past, comments (reply comments) posted in response to comments, etc. The user information (viewer information) of viewer A is attribute information, history information, etc. of viewer A. The user information may also be a segment or persona (personality) to which viewer A belongs in the field of marketing, etc.
[0045] Next, the terminal device 10A of the viewer A generates a prompt (instruction sentence) for assisting (supporting) the understanding of the posted information in cooperation with the server device 100 or by using a function of the application (step S12).
[0046] Here, the terminal device 10A of viewer A generates a prompt to assist viewer A in understanding the posted information, instructing the viewer A to generate supplementary posted information for viewing that supplements the posted information with supplementary information to enable viewer A to understand the intention of poster P regarding the posted information.
[0047] For example, the terminal device 10A of the viewer A generates a prompt such as "Please output a sentence that supplements the content of the target comment in accordance with the specified conditions." In addition, the terminal device 10A of the viewer A specifies (sets) an example of the specified conditions such as "Please judge the degree of understanding of the content of the relevant comment on a 5-point scale based on the user's attributes (gender, age), past browsing history, etc. Please complete the comment based on the input data so that the degree of understanding becomes 5."
[0048] In practice, the terminal device 10A of viewer A may not generate a prompt (instruction sentence) each time to assist in understanding the posted information, but may instead select and obtain an appropriate prompt from among prompts that have been generated and stored in advance in accordance with the specified content, posted information, and user information.
[0049] Next, the terminal device 10A of the viewer A inputs the predetermined content, the posted information, the user information, and a prompt for assisting in understanding the posted information to the GPT model, and generates supplemental posted information for viewing using the GPT model (step S13). That is, the supplemental posted information for viewing is generated for each viewer (each user). At this time, the terminal device 10A of the viewer A may use the information output by the GPT model as the supplemental posted information for viewing.
[0050] For example, the terminal device 10A of viewer A inputs, together with a prompt, the "target comment (posted information)," "linked article content (prescribed content)," "reply comment content to the target comment (reply content)," "comment content previously viewed by the user (posted information previously viewed)," etc. as input data to the GPT model, and obtains supplemental posted information for viewing generated by the GPT model.
[0051] In other words, the terminal device 10A of viewer A inputs the history (the content of the series of comments) of the comments viewed by the viewer and the reply comments in response to those comments regarding posted information on a specified content into the GPT model, determines the viewer's level of understanding of the posted information, and generates supplemental posted information for viewing according to the viewer's level of understanding.
[0052] At this time, the GPT model estimates the level of understanding of the viewer A and generates supplemental information for viewing so that the estimated level of understanding satisfies a predetermined condition. For example, the GPT model generates supplemental information for viewing so that the level of understanding of the viewer A is 5.
[0053] In this way, the terminal device 10A of viewer A generates supplemental posted information for viewing based on specified content, posted information, and user information, which supplements the posted information with information to enable viewer A to understand the intention of poster P regarding the posted information.
[0054] Next, the terminal device 10A of viewer A displays the generated supplemental posting information for viewing, and displays the supplemental parts added to the posting information (changes made to the posting information) in a display manner (different color, emphasis, etc.) that makes them distinguishable from other text (step S14).
[0055] In the above description, a part or all of the processes executed by the terminal device 10A of the viewer A may actually be executed by the server device 100.
[0056] [2-3. Notes] Note that the supplemental posted information for viewing and the supplemental posted information for viewing are not always generated, but may be generated only when requested by a poster or a viewer. For example, the supplemental posted information for viewing and the supplemental posted information for viewing may be generated when some action that requests generation is performed, such as when a poster or a viewer presses a "Bad button" or a "More details button."
[0057] In addition, the GPT model may check the intent when an action is taken. For example, when an action is taken by a poster or viewer, the GPT model may make a guess and ask, "Is this the intent of this text?" In other words, it is not necessary to obtain the intent before posting or when viewing, but it may be possible to do so afterwards.
[0058] [3. Example of terminal device configuration] Next, the configuration of the terminal device 10 will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example of the configuration of the terminal device 10. As shown in Fig. 2, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.
[0059] (Communications Department 11) The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the server device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.
[0060] (Display section 12) The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). The display unit 12 is a touch panel display, but is not limited to this.
[0061] (Input section 13) The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting characters, numbers, and the like. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, or the like. In addition, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. In addition, the input unit 13 may be a microphone that accepts voice input from the user U, or the like. The microphone may be wireless.
[0062] (Positioning unit 14) The positioning unit 14 receives a signal (radio wave) transmitted from a satellite of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10, which is the device itself, based on the received signal. That is, the positioning unit 14 measures the position of the terminal device 10. Note that the GPS is merely an example of a GNSS (Global Navigation Satellite System).
[0063] The positioning unit 14 can measure the position by various methods other than GPS. For example, the positioning unit 14 may measure the position by using various communication functions of the terminal device 10 as described below as an auxiliary positioning means for position correction or the like.
[0064] (Wi-Fi positioning) For example, the positioning unit 14 uses a Wi-Fi (registered trademark) communication function of the terminal device 10 or a communication network provided by each communication company to measure the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the distance to a nearby base station or access point to measure the position of the terminal device 10.
[0065] (Beacon positioning) The positioning unit 14 may measure the position by using a Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.
[0066] (geomagnetic positioning) The positioning unit 14 also measures the position of the terminal device 10 based on a geomagnetic pattern of a structure measured in advance and a geomagnetic sensor included in the terminal device 10.
[0067] (RFID positioning) Furthermore, for example, if the terminal device 10 has a function of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, stores, etc., or has a function of reading an RFID tag, the location of use is recorded together with information on a payment or the like made by the terminal device 10. The positioning unit 14 may obtain such information to measure the location of the terminal device 10. Furthermore, the location may be measured by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.
[0068] The positioning unit 14 may, if necessary, measure the position of the terminal device 10 using one or a combination of the positioning means described above.
[0069] (Sensor unit 20) The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 2, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an air pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.
[0070] The above-mentioned sensors 21 to 28 are merely examples and are not intended to be limiting. That is, the sensor unit 20 may be configured to include some of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.
[0071] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the moving direction, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements of the terminal device 10, such as tilts in three axial directions, based on the angular velocity, etc. of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.
[0072] Since the terminal device 10 includes the above-mentioned acceleration sensor 21, gyro sensor 22, and air pressure sensor 23, it is possible to measure the position of the terminal device 10 using a technique such as Pedestrian Dead-Reckoning (PDR) that uses these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using a positioning system such as GPS.
[0073] For example, the number of steps, walking speed, and distance walked can be calculated by a pedometer using the acceleration sensor 21. In addition, the moving direction, line of sight direction, and body inclination of the user U can be known by using the gyro sensor 22. In addition, the altitude and floor number on which the terminal device 10 of the user U is located can be known from the air pressure detected by the air pressure sensor 23.
[0074] The air temperature sensor 24 detects, for example, the air temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image around the terminal device 10.
[0075] The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the air pressure, temperature, sound, and illuminance, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. In addition, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation around the terminal device 10.
[0076] (Control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input / output port, and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmitting unit 31, a receiving unit 32, and a processing unit 33.
[0077] (Transmitter 31) The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21-28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the server device 100 via the communication unit 11.
[0078] (Receiving unit 32) The receiving unit 32 can receive various types of information provided by the server device 100 and requests for various types of information from the server device 100 via the communication unit 11.
[0079] (Processing section 33) The processing unit 33 controls the entire terminal device 10, including the display unit 12, etc. For example, the processing unit 33 can output various information transmitted by the transmission unit 31 and various information received from the server device 100 by the reception unit 32 to the display unit 12 for display.
[0080] Furthermore, the processing unit 33 may function (operate) as an acquisition unit 33A, a generation unit 33B, a display control unit 33C, a confirmation unit 33D, and a posting unit 33E, as described below, by starting an application or the like.
[0081] (Acquisition unit 33A: Contributor side) The acquiring unit 33A acquires the posting information for a predetermined content from the poster P before the posting. Note that the acquiring unit 33A may be the input unit 13.
[0082] (Acquisition unit 33A: viewer side) From yet another perspective, when a viewer A views the posted information posted by a poster P for a specified content, the acquisition unit 33A acquires the posted information posted by the poster P for the specified content and viewer information, which is user information of the viewer A viewing the posted information.
[0083] (Generation unit 33B: contributor side) The generating unit 33B generates supplemented posted information by adding, to the posted information, information that is estimated to be lacking in the posted information in comparison with the poster P's intention, based on the predetermined content and the posted information.
[0084] For example, the generation unit 33B inputs predetermined content, posted information, and a prompt for complementing the posted information to the GPT model, and generates complemented posted information using the GPT model.
[0085] At this time, the generation unit 33B inputs a prompt to the GPT model to generate complemented posting information so that any viewer A can easily understand the specified content by simply referring to the complemented posting information, as a prompt to complement the posted information.
[0086] Furthermore, the generation unit 33B inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence in which the posted information is rewritten in accordance with a predetermined condition, as a prompt for complementing the posted information.
[0087] For example, the predetermined condition is to understand the poster's intention and add a description to make up for a lack of explanation. Also, the predetermined condition is to compare the posted information with a predetermined content to make it easier to understand.
[0088] (Generation unit 33B: viewer side) From another perspective, the generation unit 33B generates supplemental posted information for viewing based on specified content, posted information, and viewer information, which supplements the posted information with information to enable viewer A to understand the intention of poster P regarding the posted information.
[0089] The posted information may be the above-mentioned supplemented posted information. That is, the posted information may be supplemented posted information in which, when posted by the poster P, information that is estimated to be lacking in the posted information in comparison with the poster P's intention is added to the posted information based on the predetermined content and the posted information.
[0090] For example, the generation unit 33B inputs predetermined content, posted information, viewer information, and a prompt for assisting in understanding the posted information to the GPT model, and generates supplemental posted information for viewing using the GPT model.
[0091] At this time, the generation unit 33B inputs a prompt to the GPT model to instruct the GPT model to generate supplementary posted information for viewing, which supplements the posted information with supplementary information to enable viewer A to understand the intention of poster P regarding the posted information, as a prompt to assist in understanding the posted information.
[0092] Furthermore, the generation unit 33B inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence that supplements the posted information in accordance with a predetermined condition, as a prompt for complementing the posted information.
[0093] For example, the specified condition is to judge the level of understanding of the content of the posted information on a 5-point scale based on the attributes and past browsing history of viewer A, and to complement the posted information based on input data so that the level of understanding reaches 5.
[0094] The input data includes predetermined content, posted information, reply content to the posted information, and posted information that viewer A has viewed in the past.
[0095] (Display control unit 33C: poster side) The display control unit 33C displays the generated complemented posted information on the display unit 12, and also displays the changed portion of the posted information in a display mode that allows the changed portion to be distinguished from other text. At this time, the display unit 12 displays the generated complemented posted information.
[0096] (Display control unit 33C: viewer side) From another viewpoint, the display control unit 33C displays the generated supplemental posted information for viewing on the display unit 12, and also displays the changed portion of the posted information in a display mode that makes it distinguishable from other text. At this time, the display unit 12 displays the generated supplemental posted information for viewing.
[0097] (Verification section 33D: Contributor side) The confirmation unit 33D confirms with the poster P, who has confirmed the displayed complemented posted information, whether or not he or she agrees to the posting of the complemented posted information.
[0098] (Posting section 33E: Poster) The posting unit 33E posts the generated complemented posted information. For example, when the poster P agrees to post the complemented posted information, the posting unit 33E posts the generated complemented posted information.
[0099] (Storage unit 40) The storage unit 40 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk drive (HDD), a solid state drive (SSD), an optical disk, etc. Various programs and various data are stored in the storage unit 40.
[0100] [4. Example of Server Device Configuration] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 3, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.
[0101] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is also connected to a network N in a wired or wireless manner.
[0102] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a HDD, an SSD, an optical disk, etc. The storage unit 120 may store attribute information and history information (log data) of the user U together with identification information (such as a user ID) indicating the user U.
[0103] (Control unit 130) The control unit 130 is a controller, and is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), etc., executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the server device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 4, the control unit 130 has an acquisition unit 131, a reception unit 132, a learning unit 133, an inference unit 134, and a provision unit 135.
[0104] (Acquisition part 131) The acquisition unit 131 acquires a search query input by a user U (user). For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. That is, the acquisition unit 131 acquires, via the communication unit 110, a keyword input by the user U into a search box of a search engine, a site, or an app.
[0105] Furthermore, the acquisition unit 131 acquires user information regarding the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, and the like from the terminal device 10 of the user U. Furthermore, the acquisition unit 131 may acquire the identification information indicating the user U, attribute information of the user U, and the like when the user U is registered. Then, the acquisition unit 131 stores the user information in the storage unit 120.
[0106] Furthermore, the acquisition unit 131 acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U, or from various servers based on a user ID or the like. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.
[0107] (Reception department 132) The reception unit 132 receives a prompt (instruction sentence) to be input to a GPT (Generative Pretrained Transformer) model from the terminal device 10 of each user U via the communication unit 110. Note that the reception unit 132 may be a part of the acquisition unit 131 described above.
[0108] (Learning Section 133) The learning unit 133 generates and constructs, by machine learning, a GPT model to be used in the server device 100. Note that, in practice, the model is not limited to the GPT model, and may be a large-scale language model (LLM) having a similar function.
[0109] (Inference part 134) The inference unit 134 infers an appropriate answer according to the prompt input to the GPT model. For example, the inference unit 134 inputs a prompt to the GPT model and outputs an appropriate answer according to the prompt.
[0110] (Provider 135) The providing unit 135 provides an appropriate answer (inferred answer) in response to the input prompt to the terminal device 10 of each user U via the communication unit 110. Note that the providing unit 135 may provide a free version, a paid version, or a trial version of the GPT model, or a plug-in that can be used for the GPT model, to the terminal device 10 of each user U via the communication unit 110.
[0111] Furthermore, the providing unit 135 may provide various Web services to the terminal device 10 of each user U via the communication unit 110. For example, the providing unit 135 may provide predetermined content to the terminal device 10 of each user U via the communication unit 110. Furthermore, the providing unit 135 may provide a comment field for posting on the predetermined content and posting information on the predetermined content to the terminal device 10 of each user U via the communication unit 110.
[0112] (others) In the above description, when the server device 100 executes some or all of the processing executed by the terminal device 10 of the user U (the terminal device 10P of the poster P or the terminal device 10A of the viewer A), the control unit 130 may have an acquisition unit 33A, a generation unit 33B, a display control unit 33C, a confirmation unit 33D, and a posting unit 33E shown in FIG. 2.
[0113] 5. Processing Procedure Next, a processing procedure by the terminal device 10 of the user U according to the embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 30 of the terminal device 10 of the user U.
[0114] For example, as shown in FIG. 4, the acquisition unit 33A of the terminal device 10P of the poster P acquires posted information for a given content from the poster P before posting the information (step S101).
[0115] Next, the generation unit 33B of the terminal device 10P of the poster P generates supplemented posted information by adding information that is estimated to be missing from the posted information in comparison with the intention of the poster P based on the specified content and the posted information (step S102).
[0116] For example, the generation unit 33B inputs predetermined content, posted information, and a prompt for complementing the posted information to the GPT model, and generates complemented posted information using the GPT model.
[0117] Next, the display control unit 33C of the terminal device 10P of the poster P displays the generated complemented posted information, and also displays the additional portion (complemented portion) added to the posted information in a display mode that makes it distinguishable from other text (step S103).
[0118] Next, the confirmation unit 33D of the terminal device 10P of the poster P confirms with the poster P, who has confirmed the displayed complemented posted information, whether or not he or she agrees to post the complemented posted information (Step S104).
[0119] If the poster P does not agree to the posting of the complemented posted information (step S104: No), the confirmation unit 33D of the poster P's terminal device 10P regenerates the complemented posted information that reflects the current result (return to step S102).
[0120] Next, if the poster P agrees to post the complemented posted information (Step S104: Yes), the posting unit 33E of the terminal device 10P of the poster P posts the generated complemented posted information (Step S105).
[0121] Next, when viewer A views the posted information (which may be the above-mentioned supplemented posted information) posted by poster P for the specified content, the acquisition unit 33A of viewer A's terminal device 10A acquires the posted information posted by poster P for the specified content and viewer information, which is user information of viewer A viewing the posted information (step S106).
[0122] Next, the generation unit 33B of the terminal device 10A of viewer A generates supplemental posted information for viewing based on the specified content, the posted information, and the viewer information, which supplements the posted information with information to enable viewer A to understand the intention of poster P regarding the posted information (step S107).
[0123] For example, the generation unit 33B inputs predetermined content, posted information, viewer information, and a prompt for assisting in understanding the posted information to the GPT model, and generates supplemental posted information for viewing using the GPT model.
[0124] Next, the display control unit 33C of the terminal device 10A of viewer A displays the generated supplemental posting information for viewing on the display unit 12, and also displays the changed parts (supplemented parts) of the posting information in a display manner that makes them distinguishable from other text (step S108).
[0125] 6. Modifications The above-described terminal device 10 and server device 100 may be implemented in various different forms other than the above-described embodiment. Therefore, the following describes modifications of the embodiment.
[0126] In the above embodiment, some or all of the processing executed by the server device 100 may actually be executed by the terminal device 10 (or an application running on the terminal). For example, the processing may be completed in a stand-alone manner (by the terminal device 10 alone). In this case, the terminal device 10 is assumed to have the functions of the server device 100 in the above embodiment. Also, in the above embodiment, since the terminal device 10 works in conjunction with the server device 100, from the perspective of the user U, it appears that the processing of the server device 100 is also executed by the terminal device 10. In other words, from another perspective, it can be said that the terminal device 10 is equipped with the server device 100.
[0127] In addition, in the above embodiment, when generating the complemented posted information (or the supplemental posted information for viewing), the terminal device 10 of user U may generate the complemented posted information (or the supplemental posted information for viewing) by replacing terms that are only understood among internal circle of people, such as industry jargon or company jargon, with general terms.
[0128] In addition, in the above embodiment, when generating the complemented posted information (or the supplemental posted information for viewing), the terminal device 10 of the user U may generate the complemented posted information (or the supplemental posted information for viewing) by replacing expressions based on dialect with expressions in standard Japanese.
[0129] In addition, in the above embodiment, when generating the complemented posted information (or the supplemental posted information for viewing), the terminal device 10 of user U may generate the complemented posted information (or the supplemental posted information for viewing) by adding appropriate explanations (or notes, supplements, etc.) to technical terms or difficult terms used in the original posted information.
[0130] [7. Effects] (Poster) As described above, the information processing device (terminal device 10 and server device 100) of the present application is characterized by comprising an acquisition unit 33A that acquires posted information for a specified content from a poster P before posting the posted information, a generation unit 33B that generates complemented posted information by adding information that is estimated to be lacking in the posted information compared to the intention of the poster P based on the specified content and the posted information, and a posting unit 33E that posts the generated complemented posted information.
[0131] For example, the generation unit 33B inputs predetermined content, posted information, and a prompt for complementing the posted information to the GPT model, and generates complemented posted information using the GPT model.
[0132] At this time, the generation unit 33B inputs a prompt to the GPT model to generate complemented posting information so that any viewer A can easily understand the specified content by simply referring to the complemented posting information, as a prompt to complement the posted information.
[0133] Furthermore, the generation unit 33B inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence in which the posted information is rewritten in accordance with a predetermined condition, as a prompt for complementing the posted information.
[0134] For example, the predetermined conditions are added to supplement any insufficient explanations, taking into account the poster's intentions.
[0135] In addition, the predetermined conditions are intended to make the posted information easier to understand by comparing the predetermined content with the posted information.
[0136] Moreover, the information processing device according to the present application further includes a display control unit 33C that displays the generated complemented posted information and displays the changed portion of the posted information in a display mode that allows the changed portion to be distinguished from other text.
[0137] The information processing device according to the present application further includes a confirmation unit 33D that confirms with the poster P, who has confirmed the displayed complemented posted information, whether or not the poster P agrees to post the complemented posted information. When the poster P agrees to post the complemented posted information, the posting unit 33E posts the generated complemented posted information.
[0138] (Viewer) From another perspective, the information processing device (terminal device 10 and server device 100) of the present application is characterized by comprising an acquisition unit 33A that acquires posted information posted by a poster P for a specified content and viewer information which is user information of a viewer A who views the posted information, a generation unit 33B that generates supplemental posted information for viewing by supplementing the posted information with information for viewer A to understand the intention of the poster P regarding the posted information, based on the specified content, the posted information, and the viewer information, and a display unit 12 that displays the generated supplemental posted information for viewing.
[0139] For example, the generation unit 33B inputs predetermined content, posted information, viewer information, and a prompt for assisting in understanding the posted information to the GPT model, and generates supplemental posted information for viewing using the GPT model.
[0140] At this time, the generation unit 33B inputs a prompt to the GPT model to instruct the GPT model to generate supplementary posted information for viewing, which supplements the posted information with supplementary information to enable viewer A to understand the intention of poster P regarding the posted information, as a prompt to assist in understanding the posted information.
[0141] Furthermore, the generation unit 33B inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence that supplements the posted information in accordance with a predetermined condition, as a prompt for complementing the posted information.
[0142] For example, the specified condition is to judge the level of understanding of the content of the posted information on a 5-point scale based on the attributes and past browsing history of viewer A, and to complement the posted information based on input data so that the level of understanding reaches 5.
[0143] The input data includes predetermined content, posted information, reply content to the posted information, and posted information that viewer A has viewed in the past.
[0144] In addition, the information processing device of the present application is characterized in that it further includes a display control unit 33C that displays the generated supplemental posting information for viewing on the display unit 12 and displays the changes made to the posting information in a display manner that makes them distinguishable from other text.
[0145] The posted information is supplemented information in which, at the time of posting by poster P, information that is estimated to be lacking in the posted information is added to the posted information based on predetermined content and the posted information, in comparison with the poster P's intention.
[0146] By using any one or a combination of the above-mentioned processes, the information processing device according to the present application can complement the text so that it appropriately reflects the poster P's intention.
[0147] [8. Hardware Configuration] Moreover, the terminal device 10 and the server device 100 according to the above-described embodiment are realized by a computer 1000 having a configuration as shown in Fig. 5, for example. The server device 100 will be described below as an example. Fig. 5 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I / F (Interface) 1060, an input I / F 1070, and a network I / F 1080 are connected by a bus 1090.
[0148] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.
[0149] The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that primarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. The secondary storage device 1050 may be an internal storage device or an external storage device. The secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. The secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.
[0150] The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, a projector, a printer, etc., and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input I / F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, a keypad, a button, a scanner, etc., and is realized by a USB, etc.
[0151] Furthermore, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.
[0152] The output device 1010 and the input device 1020 may be integrated into one device, such as a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated into one device, such as an input / output I / F.
[0153] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a 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.
[0154] The network I / F 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.
[0155] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.
[0156] For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with the other device via the network I / F 1080 and use functions and data of a program by calling them from another program of the other device.
[0157] [9. Others] Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. The above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the so-called equivalent range. Furthermore, the above-described components can be appropriately combined. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.
[0158] 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 a known method. In addition, the information including the processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.
[0159] In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads, usage conditions, etc.
[0160] For example, the above-mentioned server device 100 may be realized by multiple server computers, and depending on the functions, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.
[0161] Furthermore, the above-described embodiments and modifications can be appropriately combined as long as the processing contents are not contradictory.
[0162] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit", etc. For example, an acquisition section can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]
[0163] 10 Terminal Equipment 11 Communications Department 12 Display section 13 Input section 14 Positioning unit 20 Sensor section 31 Transmitter 32 Receiving section 33 Processing section 33A Acquisition Department 33B Generation part 33C Display control unit 33D Verification Department 33E Posting Section 100 Server device 110 Communications Department 120 Storage section 130 Control section 131 Acquisition Department 132 Reception 133 Learning Department 134 Reasoning part 135 Provision Department
Claims
1. an acquisition unit that acquires posted information posted by a contributor to a predetermined content and viewer information that is user information of a viewer who views the posted information; a generating unit that generates supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the intention of the poster regarding the posted information, based on the predetermined content, the posted information, and the viewer information; A display unit that displays the generated supplemental posting information for viewing; An information processing device comprising:
2. The generation unit inputs the predetermined content, the posted information, the viewer information, and a prompt for assisting understanding of the posted information to a GPT model, and generates supplemental posted information for viewing using the GPT model.
2. The information processing apparatus according to claim 1,
3. The generation unit inputs a prompt to the GPT model to generate supplemental posted information for viewing, the supplemental posted information being supplemented with supplemental information for the viewer to understand the poster's intention regarding the posted information, as a prompt for assisting in understanding the posted information.
3. The information processing apparatus according to claim 2.
4. The generation unit inputs, to the GPT model, a prompt for instructing the GPT model to output a sentence that supplements the posted information in accordance with a predetermined condition as a prompt for complementing the posted information.
3. The information processing apparatus according to claim 2.
5. The predetermined condition is to determine the degree of understanding of the content of the posted information on a 5-point scale based on the attributes and past browsing history of the viewer, and to complement the posted information based on input data in order to reach a degree of understanding of 5.
5. The information processing apparatus according to claim 4.
6. The input data includes a predetermined content, posted information, a reply to the posted information, and posted information that the viewer has viewed in the past.
6. The information processing apparatus according to claim 5,
7. A display control unit that displays the generated supplemental posted information for viewing on a display unit and displays the changed portion of the posted information in a display mode that makes it distinguishable from other text. The information processing apparatus according to claim 1 , further comprising:
8. The posted information is supplemented posted information in which, at the time of posting by the poster, information that is estimated to be lacking in the posted information is added to the posted information based on the predetermined content and the posted information, in comparison with the poster's intention.
2. The information processing apparatus according to claim 1,
9. An information processing method executed by an information processing device, an acquiring step of acquiring posted information posted by a contributor to a predetermined content and viewer information which is user information of a viewer who views the posted information; a generating step of generating supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the intention of the poster regarding the posted information, based on the predetermined content, the posted information, and the viewer information; A display step of displaying the generated supplemental posting information for viewing; 13. An information processing method comprising:
10. An acquisition step of acquiring posted information posted by a contributor to a predetermined content and viewer information which is user information of a viewer who views the posted information; a generating step of generating supplemental posted information for viewing by supplementing the posted information with information for the viewer to understand the intention of the poster regarding the posted information, based on the predetermined content, the posted information, and the viewer information; A display step of displaying the generated supplemental posting information for viewing; An information processing program characterized by causing a computer to execute the above.
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