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

Abstract

To provide an information processor, a method and a program for recognizing how the contents of a new article are changed with respect to the contents of an already browsed article before browsing the new article.SOLUTION: The server device includes an extracting unit that, when new content related to the same event as the known content is distributed, compares content of the known content with content of the new content and extracts a changed portion that is changed from the content of the known content in the content of the new content, an estimating unit that estimates a type of change of the changed portion, and a presenting unit that attaches a label indicating the type of change of the changed portion to the new content and presents the new content to the terminal.SELECTED DRAWING: Figure 3

Description

[Technical Field]

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

[0002] A technology has been disclosed for delivering image information related to the contents of an electronic article to a user terminal (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-072949 Summary of the Invention [Problem to be solved by the invention]

[0004] However, while the above-mentioned conventional technology can create a multi-line summary that summarizes the content of an article from the main text of the article included in an electronic article, it does not allow a user to know before viewing how the content of a new article has changed relative to the content of articles that the user has already viewed. Therefore, there is a need for a means for knowing how the content of a new article has changed relative to the content of articles that the user has already viewed before viewing the new article.

[0005] The present application has been made in view of the above, and aims to know, before viewing a new article, how the content of the new article has changed relative to the content of articles that have already been viewed. [Means for solving the problem]

[0006] The information processing device of the present application is characterized by comprising: a management unit that stores known content that has been used by a user; an extraction unit that, when new content relating to the same event as the known content is distributed, compares the content of the known content with the content of the new content and extracts changed parts of the content of the new content that have changed compared to the content of the known content; an estimation unit that estimates the type of change in the changed parts; and a presentation unit that attaches a label indicating the type of change in the changed parts to the new content and presents it to the user. [Effects of the Invention]

[0007] According to one aspect of the embodiment, before viewing a new article, it is possible to know how the content of the new article has changed relative to the content of articles that have already been viewed. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 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. [Figure 5] FIG. 5 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be 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. The terminal device 10 and the server device 100 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 enables the terminal device 10 to cooperate with the server device 100. The network N is, for example, a LAN (Local Area Network), a WAN (Wide Area Network), the Internet, etc.

[0011] Terminal device 10 is an information processing device used by a user U. For example, terminal device 10 may be a smart device such as a smartphone or tablet terminal, a desktop or notebook (laptop) type PC (Personal Computer), a mobile phone such as a feature phone (Gala-ke or Gala-ho), a PDA (Personal Digital Assistant), a game console or AV device with communication functions, an information appliance or digital appliance, a car navigation system, a wearable device such as a smart watch, a head-mounted display, or smart glasses. Terminal device 10 may also be a house or building, a car, a home appliance, an electronic device, or the like that is compatible with the Internet of Things (IOT).

[0012] In this embodiment, the terminal device 10 is a smart device such as a smartphone or tablet used by a user U, and is a portable terminal device capable of communicating with any server device via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: fifth generation mobile communication system), Bluetooth (registered trademark), or wireless LAN. The terminal device 10 has a screen such as a liquid crystal display with a touch panel function, and accepts various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by the user U with a finger or a stylus. An operation performed on an area of ​​the screen where content is displayed may be considered 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 or a laptop PC.

[0013] 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.

[0014] In this embodiment, the server device 100 is an information processing device that works in conjunction with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various data to the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.

[0015] The server device 100 may also be an information processing device that provides some kind of online service to the terminal device 10 of each user U. For example, the server device 100 may provide the following online services: internet connection, search service, chat service, interactive service using voice, images, videos, etc., social networking service (SNS), 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, weather forecast, etc. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned online services and act as an intermediary for the online services or may be responsible for processing the online services.

[0016] 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 may also acquire, as the user information, a segment to which the user U belongs in the marketing field or a persona (personality). The server device 100 then stores and manages the information (attribute information) about the attributes of the user U together with identification information (such as a user ID) that identifies the user U.

[0017] The server device 100 also acquires various types of history information (log data) indicating the behavior of the user U from the terminal device 10 of the user U or from various servers based on the user ID, etc. For example, the server device 100 acquires a location history, which is a history of the user U's location and date and time, from the terminal device 10. The server device 100 also acquires a search history, which is a history of search queries entered 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 viewed by the user U, from a content server. The server device 100 also acquires a purchase history (payment history), which is a history of the user U's product purchases and payment processes, from an e-commerce server or a payment processing server. The server device 100 may also acquire a listing history and a sales history, which are a history of the user U's listings on the marketplace, from the e-commerce server or the payment processing server. The server device 100 also acquires a posting history, which is a history of the user U's posts, from a posting server or SNS server that provides a word-of-mouth posting service. The various servers and the like described above may be the server device 100 itself. That is, the server device 100 may function as the various servers and the like described above.

[0018] 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.

[0019] [2. Labeling the magnitude of changes to previously read articles] In this embodiment, the server device 100 compares the content of articles that have already been viewed (read articles) with the content of newly distributed articles (new articles) about the same event among the articles flowing on the timeline, calculates the degree of change in information contained in the article content (degree of change in information), and assigns a score to the change in information. If the degree of change in information is large (above a threshold), the server device 100 assigns labels indicating "additional information," "detailed information," "correction information," "different perspective information," etc. to the topics, thumbnails, etc. of the newly distributed article to promote viewing. At this time, the server device 100 may assign a value (score) of the degree of change to the label.

[0020] The server device 100 realizes the above mechanism using AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a text generation AI, and is a language model capable of generating sentences using natural language processing. However, AI such as GPT is merely an example. In reality, a similar technology may also be used.

[0021] For example, as shown in Fig. 1, when a user U views an article flowing on the timeline, the server device 100 saves the article viewed by the user U as an article that has already been viewed (already read article) (step S1). At this time, the server device 100 may classify and store the already read articles according to the events that are the subject of the article. Furthermore, the articles may not be limited to articles flowing on the timeline, but may also be topics listed in a topic list.

[0022] Next, when a new article is distributed, the server device 100 determines whether the stored previously read article and the newly distributed article (new article) are articles about the same event (step S2). That is, the server device 100 determines whether the event that is the subject of the new article is the same as the event that is the subject of the previously read article.

[0023] Next, if the article contents are related to the same event, the server device 100 compares the contents of the previously read article with the contents of the new article and calculates the degree of change in information contained in the article contents (step S3). That is, the server device 100 calculates the degree to which the information in the new article has changed from the contents of the previously read article.

[0024] For example, the server device 100 calculates the degree of change between the content of a previously read article and the content of a new article, and determines that the change is large if the degree of change is equal to or greater than a threshold. Alternatively, the server device 100 may calculate the similarity between the content of a previously read article and the content of a newly distributed article, and determine that the change is small (not large) if the similarity is equal to or greater than a threshold. The degree of change and the similarity may be calculated using a technique such as natural language processing (NLP). For example, the server device 100 may vectorize the content of a previously read article and the content of a newly distributed article, and calculate the degree of change and the similarity from the cosine similarity of the multidimensional vectors. However, the above is merely an example. In practice, the present invention is not limited to the above example.

[0025] At this time, the server device 100 may summarize the contents of the previously read articles and the new article by item to summarize the main points, compare the main points of the previously read articles with the main points of the new article for each item, and calculate the degree of change in the main points for each item.

[0026] Next, if the degree of change in information is equal to or greater than the threshold, the server device 100 identifies the parts (changed portions) of the content of the new article that have changed from the content of the previously read article (step S4).

[0027] Next, the server device 100 estimates the type of change in the changed portion (changed part) (step S5).

[0028] At this time, the server device 100 may identify the parts (changed parts) where the main points of the new article differ from the main points of the previously read articles for each item, and estimate the type of change in the parts (changed parts) that have changed for each item.

[0029] For example, the server device 100 estimates the type of change as being the addition of new information (additional information) relating to an item not included in the content of the previously read article, the in-depth digging into the content of the previously read article or supplementary explanation (detailed information), the denial, change, or correction of the content of the previously read article (correction information), or information from a different perspective from the content of the previously read article (different perspective information). However, these are merely examples. In practice, the change is not limited to these examples.

[0030] Next, the server device 100 counts the number of changed parts for each type (step S6).

[0031] Next, the server device 100 displays the topics, thumbnails, etc. of the new articles on the timeline with labels indicating the type of change in the changed part and the number of changed parts of that type (step S7).

[0032] In the example in Figure 1, the thumbnail of the new article is labeled "Additional information included_2." "Additional information included" is information indicating the type of change in the changed part, and "2" is information indicating the number of changed parts of that type.

[0033] The label may be a tag, an icon, or the like. In reality, the type of change in the changed portion displayed in the label may be more specific. For example, it may indicate the type of changed content, such as "appearance of a new character," "discovery of a new fact," or "explanation of XX." Furthermore, the server device 100 may display the number of counted changed portions for each type by attaching it to the label in the form of a notification dot (notification badge). Note that if the number of changed portions for each type is "1," the display of the number may be omitted.

[0034] Next, when user U selects a topic or thumbnail of a new article and views the new article, the server device 100 displays the parts of the content of the new article that have changed compared to the content of previously read articles (changed parts) in a display format that makes them distinguishable from other parts (step S8).

[0035] For example, the server device 100 may badge the changed portion of text, underline it, make it bold, use a different color from other text, add a background color or pattern, blink, or make the text vibrate (move in small increments). In this case, the server device 100 may display the changed portion in a different display mode depending on the type of change. That is, the server device 100 displays changed portions of the same type of change in the same display mode, and displays changed portions of different types of change in different display modes.

[0036] The server device 100 may present new content with greater changes on the basis of the label.

[0037] Furthermore, the server device 100 may preferentially present new content for which a long time has elapsed since the user U read the previously read article. It is presumed that the shorter the time that has elapsed since the user U read the previously read article, the newer the information and the greater the change.

[0038] As described above, in this embodiment, the server device 100 displays a label for new content indicating not simply that the content is new (such as "New!"), but rather the difference or difference from previously read content, i.e., the type of changed content. The server device 100 compares the content of the article that the user has already viewed with the content of the article to be newly distributed. Then, the server device 100 provides the new article together with change information indicating the degree of change. The server device 100 also indicates the type of change in the label.

[0039] [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 according to the embodiment. 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.

[0040] (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, etc.

[0041] (Display section 12) Display unit 12 is a display device that displays various information such as position information. For example, display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). Display unit 12 is also a touch panel display, but is not limited to this.

[0042] (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, etc. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, etc. If the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. The input unit 13 may be a microphone that accepts voice input from the user U. The microphone may be wireless.

[0043] (Positioning unit 14) The positioning unit 14 receives signals (radio waves) transmitted from satellites 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 signals. That is, the positioning unit 14 positions the position of the terminal device 10. Note that GPS is merely an example of a GNSS (Global Navigation Satellite System).

[0044] The positioning unit 14 can also measure the position using 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 an auxiliary positioning means for position correction, etc., as described below.

[0045] (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, thereby measuring the position of the terminal device 10.

[0046] (Beacon positioning) The positioning unit 14 may also 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.

[0047] (geomagnetic positioning) The positioning unit 14 also measures the position of the terminal device 10 based on a geomagnetic pattern of a structure that has been measured in advance and a geomagnetic sensor that the terminal device 10 has.

[0048] (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, in stores, etc., or has a function of reading an RFID tag, the location where the terminal device 10 was used is recorded together with information on the payment or the like made by the terminal device 10. The positioning unit 14 may obtain such information to determine the location of the terminal device 10. Alternatively, the location may be determined by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

[0049] The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the above-mentioned positioning means, as needed.

[0050] (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 or wireless devices. In the example shown in FIG. 2 , the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a barometric 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.

[0051] The above-described 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.

[0052] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the direction of movement, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements of the terminal device 10, such as tilt in three axial directions, based on the angular velocity of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

[0053] Since the terminal device 10 includes the acceleration sensor 21, the gyro sensor 22, the atmospheric pressure sensor 23, etc., 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.

[0054] For example, the number of steps, walking speed, and distance walked can be calculated using a pedometer that uses the acceleration sensor 21. In addition, the direction of travel, line of sight, and body tilt of the user U can be determined using the gyro sensor 22. In addition, the altitude and floor on which the terminal device 10 of the user U is located can be determined from the air pressure detected by the air pressure sensor 23.

[0055] The temperature sensor 24 detects, for example, the 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.

[0056] 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, respectively, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. Furthermore, 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.

[0057] (control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit) or MPU (Micro Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), input / output ports, etc., 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.

[0058] (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 to 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.

[0059] (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.

[0060] (Processing unit 33) The processing unit 33 controls the entire terminal device 10, including the display unit 12. For example, the processing unit 33 can output various information transmitted by the transmitting unit 31 and various information received from the server device 100 by the receiving unit 32 to the display unit 12 for display.

[0061] (Storage unit 40) The storage unit 40 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), an optical disk, etc. The storage unit 40 stores various programs, various data, etc.

[0062] [4. Server device configuration example] 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.

[0063] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is connected to a network N by wire or wirelessly.

[0064] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as an 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.

[0065] (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), a graphics processing unit (GPU), an application specific integrated circuit (ASIC), or a field programmable gate array (FPGA), which executes 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. 3, the control unit 130 includes an acquisition unit 131, a management unit 132, a determination unit 133, a summarization unit 134, an extraction unit 135, an estimation unit 136, a measurement unit 137, and a presentation unit 138.

[0066] (Acquisition part 131) The acquisition unit 131 acquires a search query input by a user U. 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, the keywords input by the user U into the search box of a search engine, website, or app.

[0067] Furthermore, the acquisition unit 131 acquires user information about 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, etc. 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, etc. when the user U is registered. Then, the acquisition unit 131 stores the user information in the storage unit 120.

[0068] 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 the user ID or the like. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.

[0069] (Management Department 132) The management unit 132 stores known content (such as already-read articles) that has been used by the user U. Note that the management unit 132 may store known content for each event.

[0070] Furthermore, the management unit 132 stores, as known content, content that has been used by the user U among the content published in the content list (topic list, ranking, etc.). Alternatively, the management unit 132 stores, as known content, content that has been used by the user U among the content posted on the timeline.

[0071] (Judgment unit 133) When new content (such as a newly distributed article) is distributed, the determination unit 133 determines whether the stored known content and the new content are content relating to the same event.

[0072] (Summary 134) The summarizing unit 134 summarizes each of the known content and the new content by item to summarize the main points.

[0073] (Extraction part 135) When the known content and the new content are content relating to the same event, the extraction unit 135 compares the content of the known content with the content of the new content, and extracts the changed part of the content of the new content that is different from the content of the known content.

[0074] That is, when new content relating to the same event as known content is distributed, the extraction unit 135 compares the content of the known content with the content of the new content, and extracts the changed parts of the content of the new content that are different from the content of the known content.

[0075] Furthermore, for each event, when new content relating to the same event as the known content used immediately before by the user U is distributed, the extraction unit 135 compares the content of the known content with the content of the new content, and extracts the changed part of the content of the new content that has changed from the content of the known content.

[0076] At this time, the extraction unit 135 may compare the main points of the known content with the main points of the new content for each item, and extract the changed parts of the main points of the new content that are different from the main points of the known content.

[0077] (Estimation part 136) The estimation unit 136 estimates the type of change in the part of the new content that has changed from the part of the known content. At this time, the estimation unit 136 may estimate the type of change in the part of the new content that has changed from the part of the known content, for each item.

[0078] (Measurement section 137) The measuring unit 137 measures the number of changed parts for each type in the content of the new content. At this time, the measuring unit 137 may measure the number of changed parts for each type in the content of the new content for each item.

[0079] (Presentation part 138) The presentation unit 138 attaches a label indicating the type of change in the changed portion to the new content and presents it to the user U. For example, the presentation unit 138 attaches a label indicating the type of change in the changed portion and the number of changed portions of that type to the new content and presents it to the user U. At this time, the presentation unit 138 may present the new content to the user U by attaching a label indicating the type of change in the changed portion and the number of changed portions of that type to each item of the new content.

[0080] Furthermore, the presentation unit 138 presents to the user U a simplified representation of new content in the content list, with a label indicating the type of change in the changed portion. Alternatively, the presentation unit 138 presents to the user U a simplified representation of new content in the timeline, with a label indicating the type of change in the changed portion.

[0081] Furthermore, when the user U uses new content, the presentation unit 138 presents to the user U the changed parts of the new content in a display mode that allows the user U to distinguish the types of changes.

[0082] [5. Processing Procedure] Next, a processing procedure by the server device 100 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 130 of the server device 100.

[0083] For example, as shown in FIG. 4, the management unit 132 of the server device 100 stores, as known content, content that has been used by the user U among content listed in the content list or content streamed on the timeline (step S101).

[0084] Next, when new content is distributed, the determination unit 133 of the server device 100 determines whether the stored known content and the new content are content related to the same event (step S102). If the known content and the new content are not content related to the same event (step S102; No), the determination unit 133 ends the process and waits for the next new content.

[0085] Next, if the known content and the new content are content related to the same event (step S102; Yes), the summarizing unit 134 of the server device 100 summarizes each of the known content and the new content by item to summarize the main points (step S103).

[0086] Next, the extraction unit 135 of the server device 100 compares the main points of the known content with the main points of the new content for each item, and extracts the changed parts of the main points of the new content that are different from the main points of the known content (step S104).

[0087] Next, the estimation unit 136 of the server device 100 estimates, for each item, the type of change in the part where the gist of the new content has changed from the gist of the known content (step S105).

[0088] Next, the measuring unit 137 of the server device 100 measures the number of changed parts of each type in the content of the new content for each item (step S106).

[0089] Next, the presentation unit 138 of the server device 100 presents to the user U a simplified display of new content in the content list or timeline, with a label indicating the type of change in the changed part and the number of changed parts of that type for each item (step S107).

[0090] Next, when the user U uses the new content, the presentation unit 138 of the server device 100 displays the changed parts of the content of the new content in a display mode that allows the user U to distinguish between different types of changes (step S108).

[0091] [6. Modifications] The terminal device 10 and the server device 100 described above may be implemented in various different forms other than the above embodiment. Therefore, modifications of the embodiment will be described below.

[0092] 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 device 10). 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. Furthermore, in the above embodiment, the terminal device 10 cooperates with the server device 100, and therefore, from the perspective of the user U, it appears that the processing of the server device 100 is also being executed by the terminal device 10. In other words, from another perspective, the terminal device 10 can also be said to be equipped with the server device 100.

[0093] Furthermore, in the above embodiment, the server device 100 may be configured to attach labels not only to newly distributed articles (new articles) but also to articles that have been distributed but have not yet been viewed by the user U (unread articles). For example, the server device 100 compares the contents of articles related to the same event in a topic list or timeline between articles that have already been viewed (read articles) and articles that have not yet been viewed by the user U (unread articles), extracts parts of the content of the unread articles that have changed compared to the content of the read articles, estimates the type of change in the changed parts, and attaches labels indicating the type of change in the changed parts to the unread articles and presents them to the user. In other words, the server device 100 may be configured to attach labels not only to new content but also to existing unused content that the user U has not yet used.

[0094] In the above embodiment, the server device 100 may search for new articles using keywords or the like that specify the type of change indicated by the label as a search query. That is, the server device 100 may search for new articles based on the label. For example, when a user U inputs "additional information" about a certain event as a search query, the server device 100 may search for and present new articles about the event that are labeled with "additional information." Note that the search query is not limited to new articles, and may also be unread articles.

[0095] In the above embodiment, the contents of the previously read article and the new article are compared, but in reality, the comparison is not limited to text information, and the contents of posted images, audio, videos, etc. For example, the comparison may be audio data or video data in videos or distribution.

[0096] Furthermore, in the above embodiment, an article such as a news article about an event is used as an example, but in reality, instead of an article such as a news article, the target content may be content that can be displayed on a browser, an app, etc. and that relates to a predetermined theme, article, topic, etc. For example, the content may be a social networking site, a video / distribution site, a Q&A site, a specialized field site, a life advice site, etc.

[0097] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) of the present application is characterized by comprising a management unit 132 that stores known content that has been used by user U, an extraction unit 135 that, when new content relating to the same event as the known content is distributed, compares the content of the known content with the content of the new content and extracts the changed parts of the content of the new content that have changed compared to the content of the known content, an estimation unit 136 that estimates the type of change in the changed parts, and a presentation unit 138 that attaches a label indicating the type of change in the changed parts to the new content and presents it to user U.

[0098] This allows users to know how the content of a new article has changed compared to the content of articles they have already viewed before viewing the new article, which encourages users to view the new article and provides them with an incentive to view the new article.

[0099] The information processing device according to the present application further includes a measurement unit 137 that measures the number of changed parts for each type in the content of the new content. The presentation unit 138 presents the new content to the user U with a label indicating the type of change in the changed parts and the number of changed parts of that type.

[0100] This allows you to see how the content of the new article has changed relative to the content of the article you have already viewed, as well as how many changes there are.

[0101] The information processing device according to the present application further includes a determination unit 133 that, when new content is distributed, determines whether the stored known content and the new content are content related to the same event. If the known content and the new content are content related to the same event, an extraction unit 135 compares the content of the known content with the content of the new content and extracts the changed portion of the content of the new content that is different from the content of the known content.

[0102] This makes it possible to confirm that the new article is about the same event as the article that has already been viewed.

[0103] The management unit 132 stores known content for each event. When new content relating to the same event as the known content previously used by the user U is distributed for each event, the extraction unit 135 compares the content of the known content with the content of the new content and extracts the changed part of the content of the new content that is different from the content of the known content.

[0104] This allows users to know how the content of a new article about a given event has changed relative to the content of previously viewed articles. For example, when searching for a certain event, users can know how the content of a new article about that event has changed relative to the content of previously viewed articles.

[0105] The management unit 132 stores, as known content, content that has been used by the user U among the content listed in the content list. The presentation unit 138 presents to the user U a simplified display of new content in the content list, with a label indicating the type of change in the changed portion.

[0106] This allows users to see how the content of new articles has changed relative to the content of articles that have already been viewed in content lists such as topic lists and rankings.

[0107] The management unit 132 stores, as known content, content that has been used by the user U among the content streamed on the timeline. The presentation unit 138 presents to the user U a simplified display of new content on the timeline, with a label indicating the type of change in the changed portion.

[0108] This allows you to see how the content of new articles on the timeline of a news site / app, etc. is changing compared to the content of articles you have already viewed.

[0109] The system further includes a summarizing unit 134 that summarizes each of the known content and the new content by item to summarize the main points. An extracting unit 135 compares the main points of the known content with the main points of the new content for each item, and extracts the changed parts of the main points of the new content that are different from the main points of the known content.

[0110] This allows you to see how the content of the new article has changed compared to the content of the article you have already viewed, regarding the main points of each content item.

[0111] When the user U uses the new content, the presentation unit 138 presents the user U with changes in the content of the new content in a display format that allows the user U to distinguish the types of changes.

[0112] This also allows you to know what to look out for when viewing a new article.

[0113] By using any one or a combination of the above-described processes, the information processing device according to the present application can know, before viewing the new article, how the content of the new article has changed relative to the content of the article that has already been viewed.

[0114] [8. Hardware Configuration] The terminal device 10 and the server device 100 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in Fig. 5, for example. The following description will be given taking the server device 100 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 via a bus 1090.

[0115] 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), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

[0116] The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily 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 also 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 also be cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

[0117] 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 (High Definition Multimedia Interface), etc. 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.

[0118] 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.

[0119] 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 as an input / output I / F.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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 to call and use the functions and data of a program from another program of the other device.

[0124] [9. Other] Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Furthermore, 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 scope of so-called equivalents. Furthermore, the above-described components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.

[0125] 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 using 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 as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0126] Furthermore, the components of each device shown in the figure are conceptual functional components and do 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 depending on various loads, usage conditions, etc.

[0127] For example, the above-mentioned server device 100 may be realized by multiple server computers, and depending on the function, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.

[0128] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0129] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0130] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 130 Control Unit 131 Acquisition Department 132 Management Department 133 Judgment section 134 Summary 135 Extraction part 136 Estimation Department 137 Measurement Unit 138 Presentation section

Claims

1. a management unit that stores known content that has been used by a user; an extracting unit that, when new content relating to the same event as the known content is distributed, compares the content of the known content with the content of the new content and extracts a changed portion of the content of the new content that has changed from the content of the known content; an estimation unit that estimates a type of change in the changed portion; a presentation unit that presents the new content to the user with a label indicating the type of change in the changed portion; An information processing device comprising:

2. a measuring unit that measures the number of changed parts for each type in the content of the new content; The presentation unit presents the new content to the user with a label indicating the type of change in the changed portion and the number of changed portions of that type.

2. The information processing apparatus according to claim 1, wherein:

3. a determination unit that determines, when the new content is distributed, whether the stored known content and the new content are content relating to the same event; When the known content and the new content are content relating to the same event, the extraction unit compares the content of the known content with the content of the new content and extracts a changed part of the content of the new content that is different from the content of the known content.

2. The information processing apparatus according to claim 1, wherein:

4. the management unit stores the known content for each event; When new content relating to the same event as the known content previously used by the user is distributed, the extraction unit compares the content of the known content with the content of the new content and extracts a changed portion of the content of the new content that has changed from the content of the known content.

2. The information processing apparatus according to claim 1, wherein:

5. the management unit stores, as the known content, content that has been used by the user among the content listed in the content list; The presentation unit presents a simplified representation of the new content in the content list to the user, with a label indicating a type of change in the changed portion.

2. The information processing apparatus according to claim 1, wherein:

6. the management unit stores, as the known content, content that has been used by the user among the content streamed on the timeline; The presentation unit presents a simplified representation of the new content on the timeline to the user, with a label indicating a type of change in the changed portion.

2. The information processing apparatus according to claim 1, wherein:

7. a summarizing unit that summarizes each of the known content and the new content by item to summarize the main points, The extraction unit compares the main points of the known content with the main points of the new content for each item, and extracts the changed parts of the main points of the new content that are different from the main points of the known content.

2. The information processing apparatus according to claim 1, wherein:

8. The presentation unit presents the changed portion of the content of the new content to the user in a display mode that allows the user to distinguish the type of change when the user uses the new content.

2. The information processing apparatus according to claim 1, wherein:

9. An information processing method executed by an information processing device, a management process for storing known content that has been used by a user; an extraction step of, when new content relating to the same event as the known content is distributed, comparing the content of the known content with the content of the new content and extracting a changed portion of the content of the new content that has changed from the content of the known content; an estimation step of estimating a type of change in the changed portion; a presentation step of attaching a label indicating a type of change in the changed portion to the new content and presenting the new content to the user; An information processing method comprising:

10. A management procedure for storing known content that has been used by users; an extraction step of, when new content relating to the same event as the known content is distributed, comparing the content of the known content with the content of the new content and extracting a changed portion of the content of the new content that has changed from the content of the known content; an estimation step of estimating a type of change in the changed portion; a presentation step of presenting the new content to the user with a label indicating the type of change in the changed portion; An information processing program characterized by causing a computer to execute the above.

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