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

Abstract

To improve PV (page view) of distribution content by improving mobility.SOLUTION: An information processing device includes an acquisition unit and a providing unit. The acquisition unit acquires user information on a user from a terminal device of the user. The providing unit distributes browsing history content in which symbols indicating other content distributed before distribution content are arrayed along with the distribution content to the terminal device of the user on the basis of the user information to superimpose the browsing history content on the distribution content and display it.SELECTED DRAWING: Figure 1

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] Techniques are disclosed for proactively identifying and surfacing relevant content on touch-sensitive devices. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-046537 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional technology merely associates at least one trigger condition with a specific action among one or more actions performed by a user within an application, and when it is determined that at least one trigger condition is satisfied, provides the user with an indication that the specific action associated with the trigger condition is available.It is believed that navigation can be improved if links that are expected to be followed by a user can be presented.

[0005] The present application has been made in view of the above, and aims to improve navigation and increase PV (page views) of distributed content. [Means for solving the problem]

[0006] The information processing device according to the present application includes an acquisition unit that acquires user information about a user from a terminal device of the user, and an identification unit that identifies other users having the same attributes as the user;a providing unit that distributes, together with the distribution content, a browsing history content in which symbols indicating other content distributed before the distribution content are arranged to the terminal device of the user, and displays the browsing history content superimposed on the distribution content. The providing unit distributes to the terminal device of the user, together with the distribution content, a browsing history content in which symbols indicating contents that have been viewed by the other users having the same attributes as the user and viewed before the distribution content are arranged in order of viewing, and displays the browsing history content superimposed on the distribution content. It is characterized by: [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to improve navigation and increase PV (page views) of distributed content. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. [Figure 2] FIG. 2 is an explanatory diagram showing an outline of the process when new distribution content is distributed for the first time (when there is no history). [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of the user information database. [Figure 7] FIG. 7 is a diagram illustrating an example of the history information database. [Figure 8] FIG. 8 is a diagram showing an example of the superimposed display information database. [Figure 9] FIG. 9 is a flowchart showing a processing procedure according to the embodiment. [Figure 10] FIG. 10 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 information processing method] First, an overview of an information processing method performed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of the information processing method according to an embodiment. Note that Fig. 1 describes an example in which viewing history content is superimposed on distribution content.

[0011] 1, the information processing system 1 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 (see FIG. 3) in a wired or wireless manner so as to be able to communicate with each other. In this embodiment, the terminal device 10 cooperates with the server device 100.

[0012] The terminal device 10 is a smart device such as a smartphone or tablet terminal 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 4G (Generation (4G)) or LTE (Long Term Evolution) networks. 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 (Personal Computer) or a notebook PC.

[0013] 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.

[0014] 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 the following web services: internet connection, search service, 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, and weather forecast. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services or may be responsible for processing the web services.

[0015] The server device 100 can acquire user information about the user U. For example, the server device 100 acquires information about the attributes of the user U, such as the gender, age, and residential area of ​​the user U. The server device 100 then stores and manages the information about the attributes of the user U together with identification information (such as a user ID) that identifies the user U.

[0016] 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.

[0017] [1-1. Overlay of browsing history content] In this embodiment, when the server device 100 delivers (provides) distribution content such as news or SNS to the user U, the server device 100 displays a viewing history content, which is a list of symbols (which may be icons, thumbnails, tags, or headlines) indicating other distribution content (viewed content) previously viewed by the user U or other users who have the same attributes as the user U (which may be user segments or user personas), in the order in which they were viewed, superimposed on the distribution content. The symbols indicating the distribution content are links to the distribution content. Note that if the distribution content is music distribution or video distribution, "viewing" may be interpreted as "watching." Furthermore, if the distribution content is an online service, "viewing" may be interpreted as "using."

[0018] For example, when the server device 100 delivers the latest distribution content to a user U, it displays a viewing history content in which symbols indicating other distribution contents that the user U has viewed in the past after viewing the distribution content are arranged in the order in which they were viewed, superimposed on the latest distribution content.

[0019] Furthermore, when distributing the latest distribution content to user U, the server device 100 displays a viewing history content in which symbols indicating other distribution contents viewed after viewing of the distribution content by other users with the same attributes who viewed the distribution content before user U are arranged in the order in which they were viewed, superimposed on the latest distribution content.

[0020] That is, the server device 100 displays (displays all together) on one screen together with the distribution content the history of links (the sequence of links followed) followed by user U or other users with the same attributes after viewing the distribution content, so that the order in which they were viewed can be seen.

[0021] [1-1-1. When distributing existing content (with history)] 1, the server device 100 receives a request for delivery of delivery content such as news or SNS from the terminal device 10 of a user U (user) (step S1). For example, the server device 100 may determine that the request for delivery of delivery content such as news has been received when the user U (U1) accesses a site (such as a news site) that displays a list of delivery content such as news, or when the user U (U1) launches an app that displays delivery content.

[0022] Next, when the server device 100 delivers distribution content such as news or SNS to the terminal device 10 of the user U, it checks whether browsing history content of the user U or other users with the same attribute exists for the distribution content (step S2). Note that the browsing history content of the user U or other users with the same attribute may be browsing history content of a group of users with the same attribute, including the user U.

[0023] If browsing history content exists for user U or another user with the same attributes, the server device 100 delivers the browsing history content together with the distribution content to the terminal device 10 of user U, and displays the browsing history content superimposed on the distribution content (step S3).

[0024] At this time, the server device 100 may simultaneously superimpose the browsing history content of the user U and the browsing history content of other users. As for the browsing history content of other users, it may display only the browsing history content that is viewed by a large number of users in that pattern (the top few browsing history contents of other users). Furthermore, the server device 100 may display the browsing history content by attribute rather than by user.

[0025] Next, when the user U selects a symbol indicating the distribution content included in the browsing history content, the server device 100 distributes and displays the distribution content corresponding to the selected symbol to the terminal device 10 of the user U (step S4).

[0026] At this time, if the user U selects a symbol indicating a distribution content that has been viewed in the past, the server device 100 returns to the distribution content corresponding to the selected symbol. Therefore, the user U does not need to repeatedly press the "back" button (tracing the viewing history in order) to return to the corresponding distribution content as in the past.

[0027] [1-1-1-1. Display of browsing history content] As shown in Figure 1, there are various display modes for displaying browsing history content superimposed on distribution content, including (A) endless read type, (B) recommendation display type, and (C) footprint-leaving type. The (C) footprint-leaving type is a display mode derived from the (B) recommendation display type.

[0028] (A) Endless lead type The advantage is that users can read new articles one after another just by scrolling without thinking (they can reach the second article without putting any burden on the user). In other words, they can read articles endlessly without even thinking about it, without having to "select". However, the accuracy of the recommendation for the next article is required. For example, if an article that the user is not interested in is displayed, unlike (B), the user will leave and move to another page as there are no other options. If the accuracy of the recommendation is high, (A) is preferable to (B).

[0029] (B) Recommendation display type The advantage is that related articles can be displayed from various angles based on the first article, which increases the probability of users encountering the article they are looking for. While the act of "selecting" is still there, it gives users a wide range of options.

[0030] (C) Footprint type The advantage is that users can move seamlessly between articles, increasing the chances of finding the article they are looking for. Users can move freely between articles and find the article they are looking for.

[0031] [1-1-2. First distribution of new content (no history)] The processing when there is no browsing history content of user U or other users with the same attributes, i.e., when new distribution content is first distributed (state without history), will be described with reference to Fig. 2. Fig. 2 is an explanatory diagram showing an overview of the processing when new distribution content is first distributed (state without history).

[0032] 2, the server device 100 receives a request for delivery of delivery content such as news or SNS from the terminal device 10 of a user U (user) (step S11). For example, the server device 100 may determine that the request for delivery of delivery content such as news has been received when the user U (U1) accesses a site (such as a news site) that displays a list of delivery content such as news, or when the user U (U1) launches an app that displays delivery content.

[0033] Next, when the server device 100 delivers distribution content such as news or SNS to the terminal device 10 of the user U, it checks whether the distribution content has any browsing history content of the user U or other users with the same attributes (step S12).

[0034] If there is no browsing history content of user U or other users with the same attributes, the server device 100 distributes only the distribution content to the terminal device 10 of user U, without the browsing history content (step S13). This distribution content includes main information (such as news or the contents of articles on SNS) as well as links to other distribution content.

[0035] The other distribution content may be distribution content that is estimated to interest the user U based on the past browsing history of the user U or other users with the same attributes. In this case, the server device 100 may estimate the distribution content that is estimated to interest the user U from the results of learning by machine learning (learning model, etc.).

[0036] Next, when the user U selects a link included in the delivery content (a link within the delivery content), the server device 100 displays the new delivery content at the link destination and displays a symbol indicating the previously viewed delivery content superimposed on the new delivery content (step S14). That is, when the user U moves to the link destination included in the delivery content, the server device 100 generates viewing history content in which symbols indicating other delivery contents viewed after viewing the delivery content are arranged in the viewing order.

[0037] Next, the server device 100 increments the number of symbols indicating the viewed delivery content each time the user U moves to a link included in the delivery content (step S15). For example, the server device 100 increments the number of symbols indicating the viewed delivery content each time the user U moves to a link included in the delivery content and continuously views the delivery content without going through the top page (home page). In other words, the server device 100 sequentially adds symbols indicating the viewed delivery content to the viewing history content each time the user U moves to a link included in the delivery content.

[0038] At this time, the server device 100 may use machine learning to learn the relationship between the user U (or the attributes of the user U), the distributed content, and the linked distributed content (or the history of following the link). For example, the server device 100 uses a pair of the user U (or the attributes of the user U) and the distributed content as input data and generates an estimation model that outputs the linked distributed content (or the history of following the link).

[0039] The machine learning method may be deep learning, a recurrent neural network (RNN), a long short-term memory (LSTM), etc. Note that these are merely examples and are not intended to be limiting.

[0040] Note that when the number of symbols to be superimposed (overlaid) on new distribution content exceeds a predetermined number (threshold), the server device 100 displays (overlays) only some of the symbols. For example, it prioritizes symbols indicating distribution content viewed by many people (symbols indicating distribution content with a large number of viewers) or symbols indicating distribution content viewed for a long time by those who viewed it. Alternatively, it may display only the symbol indicating the first (or first few) distribution content as the starting point and the symbol indicating the latest (or latest few) distribution content, with the intermediate portions displayed in an abbreviated format (dotted line display, etc.). In this case, when a portion displayed in an abbreviated format (dotted line display, etc.) is selected by the user U, the server device 100 displays all of the symbols indicating the distribution content included in that portion without omitting them (detailed display).

[0041] [1-2. Other (optional)] The server device 100 may predict (estimate) the browsing behavior of the user U and display a symbol indicating the expected linked delivery content in advance. For example, the server device 100 may predict (estimate) that "a person with a certain attribute will view this content next" based on the transition history of each user's delivery content, and may superimpose a symbol indicating the predicted (estimated) next delivery content on the latest delivery content.

[0042] For example, based on user information about user U (attribute information, history information, etc.), server device 100 estimates the distribution content that user U is expected to view next, and delivers to user U's terminal device 10, together with the distribution content, predicted viewing content in which symbols indicating the distribution content that user U is expected to view next are arranged in a predicted order, and displays the predicted viewing content superimposed on the distribution content.

[0043] Furthermore, the server device 100 may prepare multiple patterns of histories (link systems) of the links of the distribution content followed by the user U or other users with the same attributes, and display them in a ranking format in descending order of the number of users who followed the links in the patterns. In other words, the server device 100 presents the user U with multiple patterns, rather than just one pattern, for the histories (link systems) of the links of the distribution content.

[0044] Furthermore, the server device 100 may display, for each pattern of the history of link tracing (link system), symbols indicating the linked distribution contents in each pattern in a carousel format in the order in which they were viewed.

[0045] According to this embodiment, the server device 100 allows the user U to efficiently browse through the distribution content that he or she or other users with the same attributes have viewed. In other words, the navigational efficiency can be improved, and the PV (page views) of the distribution content can be increased.

[0046] For example, after getting a rough grasp of one news article, strengthening the path that leads users to the second article will improve user navigation. Strengthening the path that leads users to the second article will provide an experience where users can obtain the information they want by following up with the third, fourth, and so on.

[0047] By improving navigation, the probability that users will find the information they are looking for increases (user benefits), and the number of topic detail page views per person increases (service benefits).

[0048] [2. Example of information processing system configuration] Next, a configuration of an information processing system 1 including a server device 100 according to an embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the information processing system 1 according to an embodiment. As shown in Fig. 3, the 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 so as to be able to communicate with each other via a wired or wireless connection. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

[0049] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 3 is not limited to that shown in the figure. For example, in Fig. 3, 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.

[0050] The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 may be a smart device such as a smartphone or tablet terminal, a feature phone, a PC (Personal Computer), a PDA (Personal Digital Assistant), a game console or AV device with a communication function, a car navigation system, a wearable device such as a smart watch or a head-mounted display, smart glasses, etc. The terminal device 10 may also be a house / building, a car, a home appliance, an electronic device, etc. that is compatible with the Internet of Things (IOT).

[0051] In addition, the terminal device 10 can connect to the network N via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system), or via short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN (Local Area Network), and communicate with the server device 100.

[0052] 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.

[0053] [3. Example of terminal device configuration] Next, the configuration of the terminal device 10 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example configuration of the terminal device 10. As shown in Fig. 4, 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.

[0054] (Communications Department 11) The communication unit 11 is connected to a network N (see FIG. 3) 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.

[0055] (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.

[0056] (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.

[0057] (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).

[0058] 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.

[0059] (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.

[0060] (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.

[0061] (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.

[0062] (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.

[0063] 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.

[0064] (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. 4, 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.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] (control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM, 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.

[0072] (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.

[0073] (Receiver 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.

[0074] (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.

[0075] (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.

[0076] [4. Server device configuration example] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 5. Fig. 5 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 5, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0077] (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 (see FIG. 3) by wire or wirelessly.

[0078] (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. As shown in FIG. 5 , the storage unit 120 has a user information database 121, a history information database 122, and a superimposed display information database 123.

[0079] (User Information Database 121) The user information database 121 stores user information about the user U. For example, the user information database 121 stores various information such as the attributes of the user U. FIG. 6 is a diagram showing an example of the user information database 121. In the example shown in FIG. 6, the user information database 121 has items such as "User ID (Identifier)," "Age," "Gender," "Home," "Workplace," and "Interests."

[0080] The "user ID" indicates identification information for identifying the user U. The "user ID" may be the contact information of the user U (telephone number, email address, etc.), or may be identification information for identifying the terminal device 10 of the user U.

[0081] Furthermore, "age" indicates the age of user U identified by the user ID. Note that "age" may be information indicating the specific age of user U (e.g., 35 years old), or may be information indicating the generation of user U (e.g., 30s). Alternatively, "age" may be information indicating the date of birth of user U, or may be information indicating the generation of user U (e.g., born in the 1980s). Furthermore, "gender" indicates the gender of user U identified by the user ID.

[0082] Furthermore, "home" indicates the location information of the home of user U identified by the user ID. In the example shown in FIG. 6, "home" is illustrated as an abstract code such as "LC11," but it may also be latitude and longitude information, etc. Furthermore, for example, "home" may also be the name of an area or an address.

[0083] Furthermore, "workplace" indicates location information of the workplace (school in the case of a student) of user U identified by the user ID. In the example shown in FIG. 6, "workplace" is illustrated as an abstract code such as "LC12," but it may also be latitude and longitude information, etc. Furthermore, for example, "workplace" may also be the name of a region or an address.

[0084] Furthermore, "interests" indicate the interests of user U identified by the user ID. In other words, "interests" indicate subjects in which user U identified by the user ID is highly interested. For example, "interests" may be search queries (keywords) that user U input into a search engine. In the example shown in FIG. 6, each user U has one "interest," but there may be multiple "interests."

[0085] For example, in the example shown in FIG. 6, the age of user U identified by user ID "U1" is "20s" and the gender is "male." Furthermore, for example, the home address of user U identified by user ID "U1" is "LC11." Furthermore, for example, the workplace of user U identified by user ID "U1" is "LC12." Furthermore, for example, the user U identified by user ID "U1" is interested in "sports."

[0086] 6, abstract values ​​such as "U1", "LC11", and "LC12" are used for illustration, but "U1", "LC11", and "LC12" are assumed to store information such as specific character strings and numerical values. Below, abstract values ​​may also be illustrated in diagrams relating to other information.

[0087] The user information database 121 may store various types of information depending on the purpose, without being limited to the above. For example, the user information database 121 may store various types of information related to the terminal device 10 of the user U. The user information database 121 may also store information related to the user U's attributes, such as demographic attributes, psychographic attributes, geographic attributes, and behavioral attributes. For example, the user information database 121 may store information such as name, family structure, hometown (hometown), occupation, job title, income, qualifications, type of residence (detached house, apartment, etc.), whether or not the user has a car, commuting time, commuting route, commuter pass area (station, line, etc.), frequently used stations (other than the station nearest to home or workplace), extracurricular activities (location, time zone, etc.), hobbies, interests, lifestyle, etc.

[0088] (History Information Database 122) The history information database 122 stores various information related to history information (log data) that indicates the behavior of the user U. Fig. 7 is a diagram showing an example of the history information database 122. In the example shown in Fig. 7, the history information database 122 has items such as "user ID," "location history," "search history," "browsing history," "purchase history," and "posting history."

[0089] "User ID" indicates identification information for identifying user U. "Location history" indicates the location history, which is the history of user U's location and movements. "Search history" indicates the search history, which is the history of search queries entered by user U. "Browsing history" indicates the browsing history, which is the history of content viewed by user U. "Purchase history" indicates the purchase history, which is the history of purchases made by user U. "Posting history" indicates the posting history, which is the history of posts made by user U. "Posting history" may also include questions about user U's possessions.

[0090] For example, in the example shown in Figure 7, user U, identified by user ID "U1," moved as shown in "Location History #1," searched as shown in "Search History #1," viewed content as shown in "Viewing History #1," purchased specific products at specific stores as shown in "Purchase History #1," and posted as shown in "Posting History #1."

[0091] Here, in the example shown in Figure 7, abstract values ​​such as "U1," "Location History #1," "Search History #1," "Browsing History #1," "Purchase History #1," and "Post History #1" are used for the illustration, but "U1," "Location History #1," "Search History #1," "Browsing History #1," "Purchase History #1," and "Post History #1" are assumed to store specific information such as character strings and numbers.

[0092] The history information database 122 is not limited to the above and may store various types of information depending on the purpose. For example, the history information database 122 may store the user U's usage history of a predetermined service. The history information database 122 may also store the user U's store visit history or facility visit history. The history information database 122 may also store the user U's payment history (electronic payment) using the terminal device 10.

[0093] (Overlay display information database 123) The superimposed display information database 123 stores various information related to the browsing history content that is superimposed on the distributed content. Fig. 8 is a diagram showing an example of the superimposed display information database 123. In the example shown in Fig. 8, the superimposed display information database 123 has items such as "user ID," "distributed content," "browsing history content," "pattern," and "display mode."

[0094] The "user ID" indicates identification information for identifying the user U. Furthermore, the "distribution content" indicates identification information for identifying the distribution content, such as news or SNS, that is distributed to the user U.

[0095] Furthermore, the "browsing history content" indicates identification information for identifying other distribution content that has been viewed in the past by the user himself / herself or other users who have the same attributes as the user (which may be a user segment or user persona). The browsing history content may also store symbols (which may be icons, thumbnails, tags, or headlines) that indicate other distribution content.

[0096] Furthermore, "pattern" indicates identification information for identifying the pattern of the combination of the distribution content and the browsing history content. Furthermore, "display mode" indicates the display mode when the browsing history content is superimposed on the distribution content. For example, the display modes include (A) endless read type, (B) recommendation display type, (C) footprint type, etc.

[0097] For example, in the example shown in Figure 8, for user U identified by user ID "U1", a set of browsing history content such as "History #A11" and "History #A12" is delivered as "Pattern #A1" along with the distribution content "Distribution #A", and a set of browsing history content such as "History #A21" and "History #A22" is delivered as "Pattern #A2", and the viewing history content is superimposed on the distribution content in display mode "Mode #A".

[0098] Here, in the example shown in Figure 8, abstract values ​​such as "U1," "Distribution #A," "History #A11," "History #A12," "Pattern #A1," and "Mode #A" are used for the illustration, but "U1," "Distribution #A," "History #A11," "History #A12," "Pattern #A1," and "Mode #A" are assumed to store specific information such as character strings and numbers.

[0099] The superimposed display information database 123 is not limited to the above, and may store various types of information depending on the purpose. For example, the superimposed display information database 123 may store, together with or instead of the viewing history content, other distribution content that is predicted to be viewed next by the user U after viewing the distribution content, as predicted viewing content. The superimposed display information database 123 may also store information regarding the category or type of content. The superimposed display information database 123 may also store information regarding the attributes of the user U. The superimposed display information database 123 may also store, in an identifiable format, viewing history content of content viewed by the user himself / herself and viewing history content of content viewed by other users who have the same attributes as the user.

[0100] (control unit 130) 5, the explanation will be continued. The control unit 130 is a controller, and 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, by 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. 5, the control unit 130 has an acquisition unit 131, an identification unit 132, a determination unit 133, an estimation unit 134, a generation unit 135, and a provision unit 136.

[0101] (Acquisition part 131) The acquisition unit 131 acquires a search query input by the 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.

[0102] 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 registering the user U. Then, the acquisition unit 131 registers the user information in the user information database 121 of the storage unit 120.

[0103] 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 registers the various types of history information in the history information database 122 of the storage unit 120.

[0104] The acquisition unit 131 also receives a distribution request for distribution content from the terminal device 10 of the user U via the communication unit 110. At this time, the acquisition unit 131 functions as a reception unit that receives the distribution request for distribution content.

[0105] (Specific Section 132) The identification unit 132 identifies other users who have the same attributes as the user U based on the user information. For example, the identification unit 132 compares and collates the user information of the user U with the user information of the other users to identify the other users who have the same attributes as the user U.

[0106] (Judgment unit 133) The determination unit 133 determines whether or not browsing history content exists (presence or absence of browsing history content). This browsing history content may be browsing history content in which symbols indicating contents already viewed by the user U before the delivery content are arranged in the order in which they were viewed, or may be browsing history content in which symbols indicating contents already viewed by other users who have the same attributes as the user U before the delivery content are arranged in the order in which they were viewed.

[0107] (Estimation part 134) The estimation unit 134 estimates the distribution content that the user U is expected to view next, based on the user information. At this time, the estimation unit 134 may learn the user information and the distribution content that the user U is expected to view next through machine learning. For example, the estimation unit 134 may use a pair of the user information and the distribution content related to the user U as input data, and generate an estimation model that outputs the distribution content that the user U is expected to view next.

[0108] (Generation unit 135) If there is no browsing history content, when the user U selects a link included in the distribution content, the generation unit 135 generates browsing history content in which symbols representing the distribution content are arranged in the order in which the content was viewed. Furthermore, every time the user U moves to a link destination included in the distribution content, the generation unit 135 adds symbols representing the viewed distribution content in order to the generated browsing history content.

[0109] In addition, when the generation unit 135 estimates the distribution content that the user U is expected to view next, it generates a predicted viewing content in which symbols indicating the distribution content that the user U is expected to view next are arranged in a predicted order.

[0110] (Provider 136) Based on the user information, the providing unit 136 delivers, via the communication unit 110, to the terminal device 10 of the user U, together with the distribution content, a browsing history content that includes an arrangement of symbols indicating other content that was distributed before the distribution content, and displays the browsing history content superimposed on the distribution content.

[0111] The providing unit 136 distributes, together with the distribution content, a browsing history content in which symbols indicating contents already viewed by the user U before the distribution content are arranged in the order of viewing to the terminal device 10 of the user U via the communication unit 110, and displays the browsing history content superimposed on the distribution content.

[0112] The providing unit 136 distributes, together with the distribution content, to the terminal device 10 of the user U via the communication unit 110, a browsing history content in which symbols indicating viewed content that other users having the same attributes as the user U viewed before the distribution content are arranged in the order in which they were viewed, and displays the browsing history content superimposed on the distribution content.

[0113] If the browsing history content exists, the providing unit 136 distributes the browsing history content together with the distribution content to the terminal device 10 of the user U via the communication unit 110, and displays the browsing history content superimposed on the distribution content.

[0114] The providing unit 136 causes the viewing history content generated by the generating unit 135 to be displayed via the communication unit 110 in a manner superimposed on the new delivery content of the link destination.

[0115] The providing unit 136 distributes a plurality of browsing history contents having different patterns of browsing order together with the distribution content to the terminal device 10 of the user U via the communication unit 110, and displays the plurality of browsing history contents superimposed on the distribution content.

[0116] The providing unit 136 distributes predicted viewing content, in which symbols indicating the distribution content that the user U is expected to view next are arranged in a predicted order, together with the distribution content to the terminal device 10 of the user U via the communication unit 110, and displays the predicted viewing content superimposed on the distribution content.

[0117] [5. Processing Procedure] Next, a processing procedure by the server device 100 according to the embodiment will be described with reference to Fig. 9. Fig. 9 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.

[0118] For example, as shown in FIG. 9, the acquisition unit 131 of the server device 100 receives a distribution request for distribution content from the terminal device 10 of a user U (step S101) via the communication unit 110.

[0119] Next, the acquisition unit 131 of the server device 100 acquires user information (attribute information, history information, etc.) about user U directly or indirectly (via another server device, etc.) from user U's terminal device 10 via the communication unit 110 (step S102).

[0120] Next, the identification unit 132 of the server device 100 identifies other users who have the same attributes (user segments or user personas) as user U based on the user information of user U and the other users (step S103).

[0121] Next, the determination unit 133 of the server device 100 determines whether or not there is browsing history content (presence or absence of browsing history content) in which symbols (icons, thumbnails, tags, or headlines are also acceptable) indicating previously viewed content by the user U or other users with the same attributes as the user U are arranged in the order in which they were viewed (step S104).

[0122] If no browsing history content exists, the generation unit 135 of the server device 100 generates browsing history content in which symbols representing the distribution content are arranged in the order in which the user U browsed the content when the user U selected the link included in the distribution content (step S105). Furthermore, every time the user U navigates to a link included in the distribution content, the generation unit 135 adds symbols representing the browsed distribution content to the generated browsing history content in order.

[0123] Next, the estimation unit 134 of the server device 100 estimates the distribution content that the user U is expected to view next, based on the user information about the user U (or other users having the same attributes) (step S106).

[0124] Next, when the generation unit 135 of the server device 100 estimates the distribution content that user U is expected to view next, it generates predicted viewing content in which symbols indicating the distribution content that user U is expected to view next are arranged in a predicted order (step S107).

[0125] Next, based on the user information, the providing unit 136 of the server device 100 delivers the viewing history content and / or the viewing prediction content together with the distribution content to the terminal device 10 of the user U via the communication unit 110, and displays the viewing history content and / or the viewing prediction content superimposed on the distribution content (step S108).

[0126] [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.

[0127] 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. 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 is linked to 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.

[0128] For example, the terminal device 10 may execute the processing of the server device 100 in the above embodiment as processing on an installed app. That is, the processing of the server device 100 in the above embodiment may be processing on an app installed on the terminal device 10. In this case, the terminal device 10 may generate an estimation model by on-device learning. Alternatively, the terminal device 10 may cooperate with the server device 100, provide data to the server device 100, and acquire an estimation model generated by the server device 100 through machine learning. Furthermore, the terminal device 10 may cooperate with the server device 100 and generate an estimation model by federated learning.

[0129] In the above embodiment, news is merely an example of distribution content. In reality, the distribution content may be a website such as a bulletin board, an SNS, an SMS (Short Message Service), a message app, or the like. The distribution content may also be product content.

[0130] In the above embodiment, the server device 100 may distribute and superimpose comments from users who have previously viewed the content along with the distribution content and distribution history content. For example, the server device 100 may add introductory comments from users who have previously viewed the content to the distribution content and distribution history content.

[0131] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) according to the present application includes an acquisition unit 131 that acquires user information about user U from user U's terminal device 10, and a provision unit 136 that, based on the user information, delivers to user U's terminal device 10, together with the distribution content, browsing history content that includes an arrangement of symbols indicating other content that was distributed before the distribution content, and displays the browsing history content superimposed on the distribution content.

[0132] The providing unit 136 distributes to the terminal device 10 of the user U, together with the distribution content, a browsing history content in which symbols indicating contents already viewed by the user U before the distribution content are arranged in the order of viewing, and displays the browsing history content superimposed on the distribution content.

[0133] The information processing device according to the present application further includes an identification unit 132 that identifies other users who have the same attributes as the user U based on the user information. The providing unit 136 distributes to the terminal device 10 of the user U, together with the distribution content, browsing history content in which symbols indicating viewed content that other users who have the same attributes as the user U viewed before the distribution content are arranged in the order in which they were viewed, and causes the browsing history content to be superimposed on the distribution content and displayed.

[0134] The information processing device according to the present application further includes a determination unit 133 that determines whether or not browsing history content exists. If browsing history content exists, the provision unit 136 distributes the browsing history content together with the distribution content to the terminal device 10 of the user U, and displays the browsing history content superimposed on the distribution content.

[0135] Furthermore, the information processing device according to the present application further includes a generating unit 135 that generates browsing history content in which symbols representing the distribution content are arranged in the order in which they were viewed when the user U selects a link included in the distribution content if there is no browsing history content. The providing unit 136 displays the generated browsing history content by superimposing it on new distribution content at the link destination.

[0136] The generating unit 135 sequentially adds symbols indicating the viewed distribution content to the viewing history content every time the user U moves to a link destination included in the distribution content.

[0137] The providing unit 136 distributes a plurality of browsing history contents with different patterns of browsing order together with the distribution content to the terminal device 10 of the user U, and displays the plurality of browsing history contents superimposed on the distribution content.

[0138] The information processing device according to the present application further includes an estimation unit 134 that estimates, based on the user information, the distribution content that is expected to be viewed next by the user U. The provision unit 136 delivers, together with the distribution content, to the terminal device 10 of the user U, predicted viewing content in which symbols indicating the distribution content that is expected to be viewed next by the user U are arranged in a predicted order, and displays the predicted viewing content superimposed on the distribution content.

[0139] By performing any one or a combination of the above-described processes, the information processing device according to the present application can improve navigation and increase the PV (page views) of the distribution content.

[0140] [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. 10, for example. The following description will be given taking the server device 100 as an example. Fig. 10 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] [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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0155] 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]

[0156] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 121 User Information Database 122 Historical Information Database 123 Overlay Information Database 130 control section 131 Acquisition Department 132 Specific part 133 Judgment section 134 Estimation Department 135 Generation part 136 Provision Department

Claims

1. an acquisition unit that acquires user information related to the user from the user's terminal device; an identification unit that identifies other users having the same attributes as the user based on the user information; a providing unit that delivers, to the terminal device of the user, a viewing history content including symbols indicating other contents that were delivered before the delivery content, together with the delivery content, and displays the viewing history content superimposed on the delivery content; Equipped with The providing unit distributes to the terminal device of the user, together with the distribution content, a browsing history content in which symbols indicating already-viewed contents that the other users having the same attributes as the user have viewed before the distribution content are arranged in order of viewing, and displays the browsing history content superimposed on the distribution content.

1. An information processing device comprising:

2. The providing unit distributes, together with the distribution content, to the terminal device of the user, a browsing history content in which symbols indicating contents that the user has viewed before the distribution content are arranged in the order in which they were viewed, and displays the browsing history content superimposed on the distribution content.

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

3. a determination unit that determines whether the browsing history content exists, When the browsing history content exists, the providing unit distributes the browsing history content together with the distribution content to the terminal device of the user, and displays the browsing history content superimposed on the distribution content.

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

4. a generating unit configured to generate a viewing history content in which symbols representing the distribution content are arranged in the order in which the content was viewed when the user selects a link included in the distribution content if the viewing history content does not exist, The providing unit displays the generated browsing history content superimposed on new distribution content at a link destination.

4. The information processing apparatus according to claim 3,

5. The generation unit sequentially adds a symbol indicating the viewed delivery content to the viewing history content every time the user moves to a link destination included in the delivery content.

5. The information processing apparatus according to claim 4,

6. An acquisition unit that acquires user information about the user from the user's terminal device; a providing unit that, based on the user information, delivers to the terminal device of the user, together with the distribution content, a browsing history content in which symbols indicating other content distributed before the distribution content are arranged, and displays the browsing history content superimposed on the distribution content; Equipped with The providing unit distributes the plurality of browsing history contents having different patterns of browsing order together with the distribution content to the terminal device of the user, and displays the plurality of browsing history contents superimposed on the distribution content.

1. An information processing device comprising:

7. An acquisition unit that acquires user information about the user from the user's terminal device; an estimation unit that estimates, based on the user information, distribution content that the user is expected to view next; a providing unit that delivers, to the terminal device of the user, a viewing history content including symbols indicating other contents that were delivered before the delivery content, together with the delivery content, and displays the viewing history content superimposed on the delivery content; Equipped with The providing unit distributes to the terminal device of the user, together with the distribution content, predicted viewing content in which symbols indicating distribution content predicted to be viewed next by the user are arranged in a predicted order, and displays the predicted viewing content superimposed on the distribution content.

1. An information processing device comprising:

8. An information processing method executed by an information processing device, an acquisition step of acquiring user information relating to the user from the user's terminal device; an identifying step of identifying other users having the same attributes as the user based on the user information; a providing step of distributing, together with the distribution content, browsing history content including an arrangement of symbols indicating other content distributed before the distribution content to the terminal device of the user, and displaying the browsing history content superimposed on the distribution content; Including, In the providing step, together with the distribution content, a browsing history content in which symbols indicating already-viewed contents that the other users who have the same attributes as the user have viewed before the distribution content are arranged in order of viewing is distributed to the terminal device of the user, and the browsing history content is displayed superimposed on the distribution content.

1. An information processing method comprising:

9. An information processing method executed by an information processing device, comprising: an acquisition step of acquiring user information relating to the user from the user's terminal device; a providing step of distributing, to the terminal device of the user based on the user information, a viewing history content including an arrangement of symbols indicating other content distributed before the distribution content together with the distribution content, and displaying the viewing history content superimposed on the distribution content; Including, In the providing step, a plurality of the browsing history contents having different browsing order patterns are delivered to the terminal device of the user together with the delivery content, and the plurality of the browsing history contents are displayed superimposed on the delivery content.

1. An information processing method comprising:

10. An information processing method executed by an information processing device, comprising: an acquisition step of acquiring user information relating to the user from the user's terminal device; an estimation step of estimating, based on the user information, distribution content that the user is expected to view next; a providing step of distributing, together with the distribution content, browsing history content including an arrangement of symbols indicating other content distributed before the distribution content to the terminal device of the user, and displaying the browsing history content superimposed on the distribution content; Including, In the providing step, a viewing predicted content in which symbols indicating the distribution content that is predicted to be viewed next by the user are arranged in a predicted order is distributed to the terminal device of the user together with the distribution content, and the viewing predicted content is displayed superimposed on the distribution content.

1. An information processing method comprising:

11. an acquisition step of acquiring user information about the user from the user's terminal device; an identification step of identifying other users having the same attributes as the user based on the user information; a provision step of delivering to the terminal device of the user, together with the distribution content, a browsing history content in which symbols indicating other contents distributed before the distribution content are arranged, and displaying the browsing history content superimposed on the distribution content; An information processing program for causing a computer to execute the above, In the providing step, together with the distribution content, a browsing history content in which symbols indicating already-viewed contents that other users who have the same attributes as the user have viewed before the distribution content are arranged in order of viewing is distributed to the terminal device of the user, and the browsing history content is displayed superimposed on the distribution content. An information processing program characterized by:

12. An acquisition step of acquiring user information about the user from the user's terminal device; a provision step of delivering, to the terminal device of the user based on the user information, a viewing history content including an arrangement of symbols indicating other content that was delivered before the delivery content, together with the delivery content, and displaying the viewing history content superimposed on the delivery content; An information processing program for causing a computer to execute the above, In the providing step, a plurality of the browsing history contents having different browsing order patterns are delivered to the terminal device of the user together with the delivery content, and the plurality of the browsing history contents are superimposed on the delivery content and displayed. An information processing program characterized by:

13. An acquisition step of acquiring user information about the user from the user's terminal device; an estimation step of estimating, based on the user information, distribution content that the user is expected to view next; a provision step of delivering to the terminal device of the user, together with the distribution content, a browsing history content in which symbols indicating other contents distributed before the distribution content are arranged, and displaying the browsing history content superimposed on the distribution content; An information processing program for causing a computer to execute the above, In the providing step, a viewing predicted content in which symbols indicating the distribution content that is predicted to be viewed next by the user are arranged in a predicted order is distributed to the terminal device of the user together with the distribution content, and the viewing predicted content is displayed superimposed on the distribution content. An information processing program characterized by:

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