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

Abstract

To change module arrangement based on user-intent estimation using a referrer.SOLUTION: An information processing device comprises: a reference unit which refers to a referrer when a user accesses content via a network; a grouping unit which groups users according to the contents of the referrer and the device types of the users; a classification unit which clusters the groups to which the users belong by comparing CTRs for each of modules constituting the content; a layout change unit which changes the arrangement of the modules constituting the content according to the characteristics of the cluster to which the group belongs; and a provision unit which provides the user with the content after changing the module arrangement.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] A technology is disclosed in which a server receives a series of measurement indications from a user session with a website, analyzes the measurement indications received at the server to track the progress of the user session, and generates from the analysis a list of segment codes that characterize the results of the analysis according to parameters or rules specified by the operator of the website visited in the user session (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2020-530172 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional techniques are not configured to change the layout of modules that make up a website based on the analysis results, and at least they are not capable of changing the layout of modules based on user intent estimation using referrers.

[0005] The present application has been made in view of the above, and aims to change the layout of modules based on estimation of a user's intention using a referrer. [Means for solving the problem]

[0006] The information processing device according to the present application is characterized by comprising a reference unit that references a referrer when a user accesses content via a network; a grouping unit that groups the users according to the content of the referrer and the type of device of the users; a classification unit that clusters the groups to which the users belong by comparing CTRs for each module that constitutes the content; a placement modification unit that changes the placement of the modules that constitute the content according to the characteristics of the cluster to which the group belongs; and a provision unit that provides the content to the user after the placement of the modules has been modified. [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to change the module arrangement based on the user's intention estimation using the referrer. [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 an explanatory diagram showing an outline of determining the number of clusters using the elbow method. [Figure 3] FIG. 3 is a diagram showing an example of cluster classification when the device is a PC. [Figure 4] FIG. 4 is a diagram showing a comparative example of a module when the device is a PC. [Figure 5] FIG. 5 is a diagram showing an example of cluster classification when the device is an SP. [Figure 6] FIG. 6 is a diagram showing a comparative example of a module in which the device is an SP. [Figure 7] FIG. 7 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 8] FIG. 8 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [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 the information processing system] First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. As shown in Fig. 1, an information processing system 1 according to an embodiment includes a terminal device 10 and a server device 100. These various devices are connected to each other via a network N in a wired or wireless manner so as to be able to communicate with each other. This 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, 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 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. Changing module layout based on user intent estimation using referrers] In this embodiment, a module layout change is performed based on a user's intention estimation using a referrer. At this time, a module x user analysis is performed to provide a different UI (User Interface). Specifically, when a user U accesses a website or app page that has a common layout (a common layout) of modules (components of a website where specific information is posted) across multiple pages, such as a job site or an e-commerce site, the server device 100 groups (groups) the pages based on the referrer and the type of the user U's terminal device 10, and classifies (clusters) the pages into clusters based on the access patterns of each group. The server device 100 then changes the layout of the modules on the page of the website or app based on the cluster (rearranges the modules in a layout corresponding to the cluster), and presents the page of the website or app after the module layout change to the user U.

[0020] The server device 100 may implement the above mechanism using AI (Artificial Intelligence) such as GPT (Generative Pre-trained Transformer). GPT is a text generation AI and a language model capable of generating sentences using natural language processing.

[0021] [2-1. Basic operation] For example, as shown in FIG. 1, the server device 100 receives access to a page of a recruitment site (job catalogue, etc.) from the terminal device 10 of the user U via the network N (step S1).

[0022] Next, the server device 100 refers to the referrer and groups (groups) users U who are viewers (visitors) of the page based on the content of the referrer and the type of device used by user U to access the page (step S2).

[0023] At this time, the server device 100 refers to the referrer to check the page on which the user U previously visited. The page on which the user U previously visited is not limited to the page (the page immediately before) that was the referrer / incoming / linking source on which the user U previously visited the page, but may also include pages two or more pages before that. That is, the server device 100 may refer to the referrer of each page going back two or more pages. In practice, the server device 100 may refer to the referrer log. By tracing the referrer, the server device 100 can find out which site the viewer visited from and what path the viewer took within the site. In this embodiment, the server device 100 refers to the referrer to check the page one page before and the page two pages before that.

[0024] Furthermore, the server device 100 identifies the type of user U's device as either a PC (personal computer) or an SP (smartphone). Basically, a PC accesses a page on a PC site. An SP accesses a page on an SP site or app. In the diagram, a PC is represented as "Desktop" and an SP as "Mobile Phone." In reality, the type of user U's terminal device 10 is not limited to a PC or an SP. For example, a group may exist for each type of user U's terminal device 10.

[0025] Next, the server device 100 classifies (clusters) the groups into clusters by comparing CTRs (Click Through Rates) for each module (step S3).

[0026] At this time, the server device 100 determines the number of clusters. Fig. 2 is an explanatory diagram showing an overview of determining the number of clusters using the elbow method. As shown in Fig. 2, in this embodiment, the number of clusters for PCs was set to 3 and the number of clusters for SPs was also set to 3, based on the elbow method and qualitative judgment.

[0027] (1) PC 3 is a diagram showing an example of cluster classification when the device is a PC. As shown in Fig. 3, in this embodiment, the server device 100 classifies seven user groups with a monthly pageview count of 1,000 or more out of a total of 319 groups into three user clusters using the elbow method.

[0028] In the example shown in Figure 3, three user clusters are shown, with the format "number: cluster name" being "0: interest in specific companies," "1: job search," and "2: avoid reviews." The user groups belonging to each cluster (device_previous page_2 previous pages) are "0: interest in specific companies," with four user groups belonging to "1: job search," with two user groups belonging to "1: avoid reviews," and one user group belonging to "2: avoid reviews."

[0029] For example, if the user group (device_previous page_2 previous pages) is written as "Desktop_ / company / search / _ / company / ", it means that the device is "Desktop", the previous page is " / company / search / ", and the page two pages before is " / company / ". In other words, it means that the directory structure (hierarchy) within the same site is being followed. Also, if it is written as "Desktop_search.yahoo.co.jp_NONE", it means that the device is "Desktop", the previous page is "search.yahoo.co.jp" (i.e., a search engine), and the page two pages before is "NONE" (i.e., it does not exist).

[0030] The monthly page views for "0: Interested in specific companies" are 8,153 (56.5%), and the monthly unique users are 5,377 (48.6%). The monthly page views for "1: Job hunting" are 3,899 (27.0%), and the monthly unique users are 3,801 (34.3%). The monthly page views for "2: Avoid reviews" are 2,373 (16.5%), and the monthly unique users are 1,892 (17.1%).

[0031] In the characteristics of "0: Interest in specific companies" (comparison of modules), when comparing the CTR for each module, there is a tendency for company overviews and job postings to be high, standby to be high, rankings to be low, related companies to be low, and related company job postings to be low.

[0032] Regarding the characteristics of "1: Job Search" (comparison of modules), when comparing the CTR for each module, there is a tendency for company overviews and job postings to have high CTR, related companies to have high CTR, job postings to have high CTR, and follow-up to have low CTR.

[0033] Regarding the characteristics of "2: Avoiding reviews" (comparison of modules), when comparing the CTR for each module, there is a tendency for company reviews and ratings to be high, Q&A to be high, related companies to be high, job postings to be low, recently viewed companies to be high, and related tweets to be high.

[0034] Figure 4 shows a comparison example of modules when the device is a PC. The example shown in Figure 4 shows the CTR for each module in each group. The numerical values ​​are calculated by performing MINMAX scaling on the CTR and are used to compare with other modules. For example, 100% indicates the module with the highest CTR.

[0035] (2) SP 5 is a diagram showing an example of cluster classification when the device is an SP. As shown in FIG. 5, in this embodiment, the server device 100 classifies 13 user groups with a monthly PV of 1,000 or more out of a total of 343 groups into three user clusters by the elbow method.

[0036] In the example shown in Figure 5, three user clusters are shown as "number: cluster name": "0: avoid reviews," "1: job search," and "2: interest in specific companies." The user groups belonging to each cluster (device_previous page_2 previous pages) are "0: avoid reviews," with four user groups, "1: job search," with five user groups, and "2: interest in specific companies," with four user groups.

[0037] The monthly page views for "0: Avoid reviews" are 10,455 (24.1%), and the monthly unique users are 8,950 (25.3%). The monthly page views for "1: Search for jobs" are 22,270 (51.2%), and the monthly unique users are 20,305 (57.4%). The monthly page views for "2: Interested in specific companies" are 10,739 (24.7%), and the monthly unique users are 6,121 (17.3%).

[0038] In terms of the characteristics of "0: Avoid reviews" (comparison of modules), when comparing the CTR for each module, there is a tendency for related companies to be high, rankings to be high, reviews to be high, and job postings to be low.

[0039] Regarding the characteristics of "1: Job Search" (comparison of modules), there is a tendency for job postings to have a higher CTR when comparing modules.

[0040] Regarding the characteristics of "2: Interest in specific companies" (comparison of modules), when comparing the CTR for each module, there is a tendency for company overview to be low, reviews to be low, radar charts (industry comparisons) to be high, and related companies to be low.

[0041] Figure 6 shows a comparison example of modules when the device is SP. The example shown in Figure 6 shows the CTR for each module in each group. The numerical values ​​are obtained by performing MINMAX scaling on the CTR and are taken as a comparison with other modules. For example, 100% indicates the module with the highest CTR.

[0042] Next, the server device 100 changes the layout of the modules that make up the page of the website or application in accordance with the characteristics of the cluster (comparison of modules) (step S4).

[0043] For example, the server device 100 rearranges modules in accordance with the characteristics of the cluster. At this time, the server device 100 may determine in advance the correspondence between the cluster and the module arrangement. For example, the server device 100 may have an AI learn the correspondence between the cluster and the module arrangement, and input cluster information to the AI ​​to change the module arrangement.

[0044] Furthermore, the rearrangement of modules constituting a page is common to all pages within the website or app. The server device 100 may rearrange all modules of pages within the website or app that are composed of the same modules and arranged in the same positions all at once. That is, the server device 100 may change the layout of pages that have the same module arrangement all at once. In practice, the server device 100 may change the arrangement of modules on the page to an arrangement that corresponds to the characteristics of the cluster each time the user U accesses a page within the website or app. In this case, the arrangement of modules on pages within the website or app will always be changed to an arrangement that corresponds to the characteristics of the cluster (the same arrangement) unless the cluster changes.

[0045] Next, the server device 100 provides the user U with the page after the module layout has been changed within the website or application (step S5).

[0046] For example, the server device 100 provides the page after the module arrangement has been changed to the terminal device 10 of the user U via the network N, and displays the page on the terminal device 10 of the user U and presents it to the user U.

[0047] [2-2. Supplementary Information] From another perspective, the server device 100 may cluster the browsing behavior of users by behavior, cluster users based on the journey of the clustering results, and, based on the user clustering results, determine the placement mode of modules included in the content (such as a site or app page) when providing the content to the user, and provide content in which the modules are placed in accordance with the determined placement.

[0048] The server device 100 rearranges the modules. For example, the server device 100 performs user clustering based on the history of the previous page and the page two pages before, and places modules that are easier for users to press at the top.

[0049] In this embodiment, the server device 100 groups users based on the referrer. The server device 100 also groups users based on their behavior (based on the content they click).

[0050] The server device 100 may determine the placement of modules according to a rule that if a user visits a certain category, the modules are displayed in this order. In this case, the server device 100 may learn the module order and automatically calculate the module order.

[0051] When rearranging modules, the server device 100 may rearrange modules only for a specific page, or for all pages with a common layout. However, it is best not to change the layout frequently in the same session. Once the order is decided, it is best to keep it that way within that session.

[0052] The server device 100 changes the cluster based on the referrer and changes the layout based on the cluster. For example, the server device 100 changes the cluster based on where the user came from and changes the layout based on where the user clicked.

[0053] The server device 100 groups users according to the previous page and estimates a path for each group. The server device 100 may also group users based on the type of content. In this case, the server device 100 uses regular expressions (wildcards are also acceptable) in URLs (Uniform Resource Locators), etc., which serve as the criterion for grouping, to estimate what part of each piece of content the user is viewing, and thus the user's intent, rather than which content the user is viewing. For example, when grouping URLs according to their addresses, the server device 100 uses regular expressions for parts of URL components (e.g., "protocol" (scheme), "host," "domain," "port," "directory," "file" (or "path," "query," "fragment"), etc.) that differ from other URLs but do not affect the grouping. This allows the server device 100 to group multiple URLs that share commonalities as URLs in the same group. Multiple URLs that share commonalities and are grouped together indicate that, despite some differences, users followed the links with the same intent. For example, even if the pages being viewed are different, users who click on links to similar modules from pages with the same module configuration can be presumed to have the same intention (e.g., even if users are viewing pages for different companies on a job site, users who move to the review page from a link to a review module on the page can be presumed to have the same intention). That is, in order to presume the user's intention, the server device 100 uses regular expressions for at least some of the components of the URL of the content that serves as the judgment criterion.

[0054] The server device 100 may automatically convert the contents of the referrer into regular expressions. That is, the server device 100 may automatically generate a URL for determination using regular expressions based on the URL included in the referrer. In this case, the server device 100 may input all of the contents, hierarchy, and text of the referrer into an AI, estimate the user's intent to view or visit (user browsing intent), and generate regular expression rules. For example, the server device 100 may train an AI to learn pairs of parts of URL components that affect grouping and user browsing intent as a dataset, and use this AI to generate a URL for determination using regular expressions for parts that do not affect grouping.

[0055] The server device 100 groups users not by the URL clicked, but by the location where the URL was clicked and which URL was clicked. The server device 100 may also group users by taking into consideration the type of search query that was entered. The server device 100 may also group users by taking into consideration mouse movements, which part was viewed, the red module part of the mouse heat map for the page being viewed, or by looking at logs.

[0056] [3. Example of terminal device configuration] Next, the configuration of the terminal device 10 will be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the configuration of the terminal device 10 according to the embodiment. As shown in Fig. 7, 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.

[0057] (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.

[0058] (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.

[0059] (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.

[0060] (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).

[0061] 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.

[0062] (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.

[0063] (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.

[0064] (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.

[0065] (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.

[0066] 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.

[0067] (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. 7 , 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] (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.

[0075] (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.

[0076] (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.

[0077] (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.

[0078] (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.

[0079] [4. Server device configuration example] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 8. Fig. 8 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 8, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0080] (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.

[0081] (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.

[0082] (control unit 130) 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, 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. 8, the control unit 130 has an acquisition unit 131, a reference unit 132, a grouping unit 133, a classification unit 134, an arrangement change unit 135, and a provision unit 136.

[0083] (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.

[0084] 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.

[0085] 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.

[0086] (Reference part 132) The reference unit 132 refers to the referrer when the user U accesses content (such as a site or app page) via the network N. For example, the reference unit 132 refers to the referrer when receiving access to content from the terminal device 10 of the user U via the communication unit 110.

[0087] (Group section 133) The grouping unit 133 groups users U according to the content of the referrer and the type of device of the user U. For example, the grouping unit 133 groups users U who share the same device type, the same content one content before the link source, and the same content two content before the link source into the same group.

[0088] Furthermore, when grouping user U, the grouping unit 133 uses regular expressions for at least some of the components of the URL of the content that serves as the determination criterion in order to estimate the intention of user U from the contents of the referrer.

[0089] (Classification section 134) The classification unit 134 clusters the group to which the user U belongs by comparing the CTRs of the modules that make up the content. For example, the classification unit 134 prepares clusters equal to the number of clusters determined using the elbow method, and classifies the group to which the user U belongs into clusters according to characteristics inferred from the CTR comparison of the modules that make up the content.

[0090] Furthermore, the classification unit 134 performs MINMAX scaling on the CTR to compare the CTR of each module with that of other modules. The classification unit 134 also clusters the groups to which the user U belongs according to the device of the user U.

[0091] Furthermore, the classification unit 134 may cluster the group to which the user U belongs using a heat map of the mouse over the modules that make up the content.

[0092] (Layout change unit 135) The layout modification unit 135 modifies the layout of modules constituting the content according to the characteristics of the cluster to which the group belongs. For example, the layout modification unit 135 collectively modifies the layout of modules of all content that have a common module configuration with the content within a site or app that includes the content according to the characteristics of the cluster to which the group belongs.

[0093] (Providing Department 136) The providing unit 136 provides the content after the module arrangement has been changed to the user U. For example, the providing unit 136 provides the content after the module arrangement has been changed to the terminal device 10 of the user U via the communication unit 110, and displays the content on the terminal device 10 of the user U to present it to the user U.

[0094] [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.

[0095] For example, as shown in FIG. 9, the reference unit 132 of the server device 100 refers to the referrer when a user U accesses content via a network N (step S101).

[0096] Next, the user U is grouped according to the content of the referrer of the server device 100 and the type of device of the user U (step S102).

[0097] Next, the classification unit 134 of the server device 100 clusters the group to which the user U belongs by comparing the CTRs of the modules that make up the content (step S103).

[0098] Next, the arrangement change unit 135 of the server device 100 changes the arrangement of the modules that make up the content in accordance with the characteristics of the cluster to which the group belongs (step S104).

[0099] Next, the providing unit 136 of the server device 100 provides the content after the module arrangement has been changed to the terminal device 10 of the user U via the communication unit 110, and displays the content on the terminal device 10 of the user U and presents it to the user U (step S105).

[0100] [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.

[0101] 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.

[0102] In addition, in the above embodiment, the server device 100 may group (group) users U based on the content of the referrer and the type of device used by user U to access the page, as well as the scroll position (or its history) on each page.

[0103] Furthermore, in the above embodiment, the server device 100 may classify (cluster) groups into clusters based on the scroll position (or its history) on each page, instead of comparing the CTR for each module.

[0104] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) according to the present application is characterized by comprising a reference unit 132 that refers to a referrer when a user accesses content via a network, a grouping unit 133 that groups users according to the content of the referrer and the type of device the user has, a classification unit 134 that clusters the groups to which the users belong by comparing the CTRs of the modules that make up the content, a layout modification unit 135 that modifies the layout of the modules that make up the content according to the characteristics of the cluster to which the group belongs, and a provision unit 136 that provides the user with the content after the layout of the modules has been modified.

[0105] The grouping unit 133 groups users who share the same device type, the same link source content one content before, and the same content two content before into the same group.

[0106] The classification unit 134 prepares clusters in the number determined using the elbow method, and classifies the groups to which the users belong into clusters according to characteristics inferred from a comparison of CTRs for each module that constitutes the content.

[0107] The layout change unit 135 collectively changes the layout of modules of all content that have a common module configuration with the content within a site or app that includes the content, according to the characteristics of the cluster to which the group belongs.

[0108] The classification unit 134 performs MINMAX scaling on the CTR for each module and uses the resulting value for comparison with other modules.

[0109] The classification unit 134 clusters the groups to which the users belong according to the devices of the users.

[0110] When grouping users, the grouping unit 133 uses regular expressions for at least some of the components of the URL of the content that serves as a criterion in order to estimate the user's intention from the contents of the referrer.

[0111] The classification unit 134 clusters the groups to which the users belong using a heat map of the mouse over the modules that make up the content.

[0112] By performing any one or a combination of the above-described processes, the information processing device according to the present application can change the module layout based on the user's intention estimation using the referrer.

[0113] [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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] [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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] Furthermore, the above-described embodiments and modifications can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0128] 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]

[0129] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 130 control section 131 Acquisition Department 132 Reference section 133 Grouping section 134 Classification Department 135 Relocation Section 136 Provision Department

Claims

1. a referrer that refers to a referrer when a user accesses content via a network; a grouping unit that groups the users according to the content of the referrer and the type of device of the users; a classification unit that clusters the group to which the user belongs by comparing CTRs for each module that constitutes the content; a layout change unit that changes the layout of modules that make up the content in accordance with the characteristics of the cluster to which the group belongs; a providing unit that provides the content after the arrangement of the modules has been changed to the user; An information processing device comprising:

2. The grouping unit groups users who share the same device type, the same link source content one content before, and the same link source content two content before into the same group.

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

3. The classification unit prepares clusters in the number determined using the elbow method, and classifies the group to which the user belongs into clusters according to characteristics inferred from a CTR comparison for each module constituting the content.

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

4. The layout change unit collectively changes the layout of modules of all content that have a common module configuration with the content within a site or app that includes the content, according to characteristics of a cluster to which the group belongs.

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

5. The classification unit uses a numerical value obtained by performing MINMAX scaling on the CTR for comparing the CTR of each module with other modules.

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

6. The classifier clusters groups to which the user belongs according to the user's device.

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

7. When grouping the users, the grouping unit uses regular expressions for at least a part of components of a URL of a content that serves as a criterion in order to estimate the user's intention from the content of the referrer.

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

8. The classification unit clusters the groups to which the users belong based on a heat map of mouse movements for modules that constitute the content.

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

9. An information processing method executed by an information processing device, a referencing step of referring to a referrer when a user accesses content via a network; a grouping step of grouping the users according to the content of the referrer and the type of device of the users; a classification step of clustering the group to which the user belongs by comparing CTRs for each module constituting the content; a layout change step of changing the layout of modules constituting the content in accordance with the characteristics of the cluster to which the group belongs; a providing step of providing the content after the arrangement of the modules has been changed to the user; An information processing method comprising:

10. a referral procedure that refers to a referrer when a user accesses content over a network; a grouping step of grouping the users according to the content of the referrer and the type of device of the users; a classification procedure for clustering the group to which the user belongs by comparing CTRs for each module constituting the content; a layout change procedure for changing the layout of modules constituting the content in accordance with the characteristics of the cluster to which the group belongs; a provision step of providing the content after the arrangement of the modules has been changed to the user; An information processing program characterized by causing a computer to execute the above.

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