JP2023000362A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To improve visibility of map information on which data is reflected.SOLUTION: An information processing device includes an acquisition unit, a calculation unit, and a display control unit. The acquisition unit obtains statistical information corresponding to a predetermined specification condition. The calculation unit calculates a score indicating relevance to a predetermined condition for each of a plurality of mutually adjacent regions, based on the statistical information obtained by the acquisition unit. The display control unit controls, in displaying map information that is obtained by changing the size or position of an image indicating each of the plurality of regions based on the score calculated by the calculation unit, display of the map information so as to maintain a relative positional relation between the regions.SELECTED DRAWING: Figure 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, attempts have been made to visualize and utilize data. In connection with such attempts, for example, methods and systems for efficiently performing data analysis using data visualization have been proposed.

JP 2015-219622 A

However, there is room for improvement in improving the visibility of the map information when the data is reflected in the map information in order to visualize and utilize the data.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of improving the visibility of map information reflecting data.

An information processing apparatus according to the present application includes an acquisition unit, a calculation unit, and a display control unit. The acquisition unit acquires statistical information corresponding to a predetermined designated condition. Based on the statistical information acquired by the acquisition unit, the calculation unit calculates a score indicating the relevance to a predetermined specified condition for each of a plurality of mutually adjacent regions. The display control unit maintains the relative positional relationship between the regions when displaying the map information in which the size or position of the image showing each of the plurality of regions is changed based on the score calculated by the calculation unit. control the display of map information.

According to one aspect of the embodiment, it is possible to improve the visibility of map information reflecting data.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram showing a display example of map information according to the embodiment. FIG. 3 is a diagram showing a display example of map information according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 5 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to the embodiments described below. Further, the embodiments described below can be appropriately combined within a range that does not contradict the processing contents. Also, in the embodiments described below, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Overview of information processing]
Hereinafter, an example of information processing realized by the information processing apparatus according to the embodiment will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

As shown in FIG. 1 , an information processing system 1 according to the embodiment has a terminal device 10 and an information processing device 100 . In addition, the information processing system 1 is not limited to the example shown in FIG. Further, the information processing device 100 is not limited to the example described below, and can execute the information processing described below in parallel for any number of terminal devices 10 .

The terminal device 10 and the information processing device 100 are each connected to a network N (see FIG. 4) by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a local IP (Internet Protocol) network, or the Internet. . The network N may include a wired network or a wireless network. The terminal device 10 and the information processing device 100 can communicate with each other through the network N. FIG.

The terminal device 10 is an information processing device used by the service user U to use the service provided by the information processing device 100 . The terminal device 10 is implemented by a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The terminal device 10 can display information for using various services provided by the information processing device 100 using a web browser or an application. When the terminal device 10 receives control information for implementing information display processing from the information processing device 100 or the like, the terminal device 10 implements the display processing according to the control information.

The information processing device 100 is an information processing device that executes information processing according to the embodiment. The information processing device 100 is implemented by a server device, a cloud system, or the like. The information processing device 100 may function as a distribution device that distributes control information to the terminal device 10 used by the service user U. Here, the control information is described, for example, in a script language such as JavaScript (registered trademark) or a style sheet language such as CSS (Cascading Style Sheets). Note that the application itself distributed from the information processing apparatus 100 may be regarded as control information.

For example, the information processing device 100 can provide service users U with various services on the Internet. The services provided by the information processing device 100 include a search engine site, a news site, a technical explanation site, a shopping site, a finance site (stock price site), a route search site, a map providing site, a travel site, and so on. , restaurant introduction sites, various services provided through web pages related to web blogs, etc. are included. The information processing device 100 also includes various applications installed in the terminal device 10 (for example, a portal application, a news application, an auction application, a weather forecast application, a shopping application, a finance (stock price) application, a route search application, a map providing application, It can provide information to be displayed in travel apps, restaurant introduction apps, blog browsing apps, etc.).

In addition, the information processing apparatus 100 can acquire information on search words input by the service user U through the provision of the various services described above. In addition, the information processing apparatus 100 can store the acquired search word information as a search history (search log). Note that the information processing apparatus 100 can be used for user attributes (for example, demographic attributes such as age, gender, region, etc., usage history of online contents of various services, etc.) based on the operation, browsing, etc. of the service user U in various services. psychographic attributes estimated based on the information), the action history of the service user U in various services, and the like can be collected and stored in association with the user ID.

Further, the information processing apparatus 100 can provide the service user U with an information providing service that visualizes the degree of interest in each area along the time axis.

For example, as shown in FIG. 1, when the information processing device 100 receives keyword information and date and time information set as specified conditions by the service user U from the terminal device 10, based on the statistical information, the information processing device 100 determines a plurality of mutually adjacent A score indicating relevance to the specified keyword is calculated for each region (step S1).

The statistical information includes, for example, search history and action history information accumulated in advance by the information processing apparatus 100 . Also, the score indicating the relevance to the specified keyword calculated for each of the plurality of regions is an evaluation value indicating the degree of interest (degree of interest) with respect to the specified keyword. The degree of interest is defined by the following formulas (1) and (2), assuming that the area is prefecture B and that there is a search query A that matches the designated keyword.

· Score (degree of interest) = prefecture B x regional feature x W1 + number of search UUs for search query A x W2 + search increase for search query A x W3 (1)

W1, W2, and W3 shown in Equation (1) above represent weights preset by the administrator of the information processing apparatus 100 . Also, the regional characteristic degree shown in the above formula (1) represents the degree to which the search query A is characteristically searched for in the prefecture B. The regional feature is defined by Equation (2) shown below.

・ Regional feature = log ((number of UUs for search query A in prefecture B/total number of UUs in prefecture B)/(number of search UUs for search query A/total number of UUs)) (2)

Also, the number of search UUs for search query A shown in formula (1) above represents the number of unique users who visited a predetermined website and searched for search query A within a predetermined period. Also, the number of UUs shown in Equation (2) above represents the number of unique users who have visited a given website within a given period of time. Further, the search increase amount of search query A shown in the above formula (1) represents the search increase amount of search query A from the reference point. The search increment for search query A is defined by Equation (3) below.

・Search increase amount for search query A = number of search UUs for search query A / number of search UUs for search query A on the reference date (3)

In this way, the information processing apparatus 100 can objectively evaluate the degree of interest in the designated keyword for each of a plurality of regions without being influenced by the population of each region (for example, prefecture). .

Then, the information processing apparatus 100 displays map information in which the size or position of the image showing each of the plurality of regions is changed based on the score (step S2). At this time, the information processing apparatus 100 controls such that the relative positional relationship between regions is maintained.

A display example of the map information according to the embodiment will be described with reference to FIG. 2 or FIG. 3 . FIG. 2 or 3 is a diagram showing a display example of map information according to the embodiment. FIG. 2 or FIG. 3 schematically shows map information MP-1 provided to the service user U by the information processing apparatus 100 in order to explain an example of information processing according to the embodiment.

As shown in FIG. 2, the map information MP-1 provided by the information processing apparatus 100 to the service user U includes, for example, an image G-1 of the region R-1, an image G-2 of the region R-2, and an image G-2 of the region R-2. -3 image G-3 and region R-4 image G-4. When the information processing apparatus 100 receives from the terminal apparatus 10 the keyword information "specified keyword X" and the date and time information "2021/4/1", which are the specified conditions, the information processing apparatus 100 collects statistics such as the number of UUs searched for the specified keyword X and the number of UUs. Information is acquired based on date and time information: "2021/4/1". For example, if the designated date and time information is "2021/4/1", the information processing apparatus 100 can set the time period from 00:00 on April 1, 2021 to 23:59 on April 1, 2021 for each region R. The number of retrieved UUs and the number of UUs up to the minute are obtained as data samples. Then, the information processing apparatus 100 calculates the score V indicating the degree of interest in the designated keyword X for each region R based on the above-described formulas (1) to (3).

In the example shown in FIG. 2, a score V1-1 corresponding to region R-1, a score V1-2 corresponding to region R-2, a score V1-3 corresponding to region R-3, and a score V1-3 corresponding to region R-4 and corresponding scores V1-4 are calculated respectively. Also, the order of scores V corresponding to each region R is score V1-4>score V1-1>score V1-3>score V1-2. Note that the score V corresponding to each region R may be normalized based on a reference score, for example, the value of the highest score V among the scores V corresponding to each region R may be used as a reference. .

Then, the information processing apparatus 100 displays the map information MP-1 in which the size or position of the image G showing each of the plurality of regions R is changed according to the score V based on the score. In the example shown in FIG. 2, the area of the image G corresponding to each region R is varied according to the magnitude of the score V. The area of G-4 is larger than the other regions R-1 to R-3.

Further, when the information processing apparatus 100 displays the map information MP-1 by changing the size or position of the image G showing each of the plurality of regions R based on the score V, the information processing device 100 displays the map information MP-1. Control is performed so that the positional relationship of R is maintained. This makes it possible to prevent damage to the layout of the map information MP-1 due to changes in the map information MP-1, and improve the visibility of the map information MP-1.

For example, the information processing apparatus 100 controls such that the boundary lines BL of the regions R adjacent to each other are maintained. Specifically, as shown in FIG. 2, the information processing apparatus 100 expands the image G of each region R that constitutes the map information MP-1, and the image G between the region R-1 and the region R-4 is enlarged. so that the boundary line BL-1, the boundary line BL-2 between the area R-2 and the area R-4, and the boundary line BL-3 between the area R-3 and the area R-4 are left display control. As a result, the images G of the regions R can be prevented from overlapping each other, and the visibility of the map information MP-1 can be improved.

Further, for example, the information processing apparatus 100 performs control so that the relative sense of distance of the plurality of regions R is reflected based on the center-of-gravity position P calculated in advance for each image G of each region R. To give a specific example, the information processing apparatus 100, even after enlarging the area G of each region R constituting the map information MP-1, for example, the center of gravity position P-1 of the image G-1 of the region R-1 and the Distance between the center of gravity position P-4 of the image G-4 of the region R-4, the center of gravity position P-2 of the image G-2 of the region R-2 and the center of gravity position P-4 of the image G-4 of the region R-4 , and the ratio of the distance between the center of gravity position P-3 of the image G-3 of the region R-3 and the center of gravity position P-4 of the image G-4 of the region R-4 can be controlled so as not to change. As a result, it is possible to prompt the user to specify each region R and improve the visibility of the map information MP-1.

Also in the case shown in FIG. 3, similarly to the case shown in FIG. 10, statistical information such as the number of searched UUs and the number of UUs for the specified keyword X is acquired based on the date and time information: "2021/4/1". Then, the information processing apparatus 100 calculates the score V indicating the degree of interest in the designated keyword X for each region R based on the above-described formulas (1) to (3).

3 differs from the information shown in FIG. 2, the score V calculated for each region R is also different from that shown in FIG. In the example shown in FIG. 3, a score V11-1 corresponding to region R-1, a score V11-2 corresponding to region R-2, a score V11-3 corresponding to region R-3, and a score V11-3 corresponding to region R-4 , and scores V11-4 corresponding to . The order of the scores V corresponding to the regions R is score V11-2>score V11-4>score V11-1>score V11-3.

Then, the information processing apparatus 100 displays the map information MP-1 in which the size or position of the image G showing each of the plurality of regions R is changed according to the score V based on the score.

Further, when the information processing apparatus 100 changes the size or position of the image G representing each of the plurality of regions R based on the score V, the information processing apparatus 100 changes each image based on a preset constraint condition. The direction of movement of G may be determined.

For example, as shown in FIG. 3, it is assumed that a constraint condition is set in advance to prohibit the center of gravity from moving to the left. In addition, in FIG. 3, the constraint condition is set in advance by the administrator of the information processing apparatus 100, for example. In this case, as shown in FIG. is controlled so that it does not turn to the left. As a result, the image G of each region R can be changed in a desired form, and the possibility of improving the visibility of the map information MP-1 can be increased.

Moreover, the constraint condition is not limited to setting a condition common to all areas R, but may be set for each image G corresponding to the area R. Note that the constraint conditions may be flexibly set according to the positional relationship of each region R and the enlargement or reduction of the image G corresponding to each region R.

[2. Configuration of information processing device]
The configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment;

As shown in FIG. 4, the information processing apparatus 100 includes a communication section 110, a storage section 120, and a control section . Note that FIG. 4 shows a configuration example of the information processing apparatus 100, and is not limited to the form shown in FIG.

(Communication unit 110)
The communication unit 110 is connected to the network N by wire or wirelessly, for example, and transmits and receives information to and from another device such as the terminal device 10 via the network N. The communication unit 110 is implemented by, for example, a NIC (Network Interface Card), an antenna, or the like. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a regional IP (Internet Protocol) network, or the Internet. . The network N may include wired networks or wireless networks.

The communication unit 110 receives keyword information and date/time information from the terminal device 10 . Also, the communication unit 110 transmits the map information to the terminal device 10 .

(storage unit 120)
The storage unit 120 is realized by, for example, a RAM (Random Access Memory), a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. Storage unit 120 stores programs and data for realizing information processing executed by each unit of control unit 130 .

As shown in FIG. 7, the storage unit 120 has a search history storage unit 121, a map information storage unit 122, a constraint condition storage unit 123, and the like.

(Search history storage unit 121)
The search history storage unit 121 stores search histories of service users in association with identification information (for example, user IDs) for identifying service users who use various services on the Internet. The search history stored in search history storage unit 121 includes, for example, search word information entered by the service user through a search engine site provided to the service user.

(Map information storage unit 122)
The map information storage unit 122 stores map information to be provided to service users. The map information is configured to be processable by the control unit 130, which will be described later.

(Restraint condition storage unit 123)
The restrictive condition storage unit 123 stores information about restrictive conditions that the control unit 130 refers to when processing map information. A constraint condition is set in advance by, for example, an administrator of the information processing apparatus 100 . As a specific example, when the area on the right side of the map is the sea, the image of each area (the center of gravity position) is moved leftward so that the image of each area is changed (enlarged or moved) toward the sea. It is assumed that restrictions such as prohibiting movement to

(control unit 130)
The control unit 130 is a controller that controls the information processing device 100 . The control unit 130 executes various programs (for example, an information processing program) stored in a storage device inside the information processing apparatus 100 by using a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like, using the RAM as a work area. It is realized by being Also, the control unit 130 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4 , the control unit 130 has an acquisition unit 131 , a calculation unit 132 and a display control unit 133 . Control unit 130 implements or executes the functions and actions of information processing described below by means of these units. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it performs information processing described later. Moreover, the connection relationship of each part of the control unit 130 is not limited to the connection relationship shown in FIG. 4, and may be another connection relationship.

(Acquisition unit 131)
The acquisition unit 131 acquires statistical information (data samples) for processing map information through the communication unit 110 based on specified conditions acquired from the terminal device 10 . For example, when the acquisition unit 131 acquires keyword information: “specified keyword X” and date/time information: “2021/4/1” as specified conditions from the terminal device 10, the acquisition unit 131 obtains the number of search UUs and the number of UUs for the specified keyword X as the specified conditions. Information: Acquired based on "2021/4/1". The acquisition unit 131 passes the acquired data samples to the calculation unit 132 .

(Calculation unit 132)
Based on the statistical information acquired by the acquisition unit 131, the calculation unit 132 calculates a score indicating the relevance to a predetermined keyword for each of a plurality of mutually adjacent regions. The score calculated by the calculation unit 132 is an evaluation value indicating the degree of interest (degree of interest) with respect to the designated keyword. The degree of interest is defined by Equation (1) above, assuming that the region is prefecture B and that there is a search query A that matches the designated keyword. The calculation unit 132 transfers the score calculated for each region to the display control unit 133 .

(Display control unit 133)
The display control unit 133 changes the size or position of the image showing each of the plurality of regions based on the score calculated by the calculation unit 132 to display map information including the plurality of regions. At this time, the display control unit 133 performs control so that the relative positional relationship between regions is maintained.

For example, the display control unit 133 performs control so that boundaries between adjacent regions are maintained. Further, for example, the display control unit 133 performs control based on the center-of-gravity position P calculated in advance for each image G of each region R so that the sense of distance of a plurality of regions is reflected. Further, for example, when the display control unit 133 changes the size or position of the image showing each of the plurality of regions based on the score calculated by the calculation unit 132, the preset constraint condition determines the direction of movement of each image.

[3. Processing procedure]
A processing procedure performed by the information processing apparatus 100 according to the embodiment will be described below with reference to FIG. FIG. 5 is a flowchart illustrating an example of a processing procedure performed by the information processing apparatus according to the embodiment; The processing procedure shown in FIG. 5 is executed by the control unit 130 of the information processing apparatus 100 . The processing procedure shown in FIG. 5 is repeatedly executed while the information processing apparatus 100 is in operation.

As shown in FIG. 5, the acquisition unit 131 acquires statistical information (data samples) for processing map information through the communication unit 110 based on the specified conditions acquired from the terminal device 10 (step S101).

Further, the calculation unit 132 calculates a score indicating relevance to a predetermined keyword for each of a plurality of mutually adjacent regions based on the statistical information acquired by the acquisition unit 131 (step S102).

Further, the display control unit 133 changes the size or position of the image showing each of the plurality of regions based on the score calculated by the calculation unit 132 to display the map information including the plurality of regions (step S103). ).

[4. Modification]
In the above-described embodiment, an example has been described in which the information processing apparatus 100 calculates a score indicating relevance to the specified keyword for each region based on the search history, and changes the image of each region. The information processing according to the embodiment can be similarly applied to the case where the image of each region is changed based on the score indicating the relevance to arbitrary statistical information. For example, statistical information can include the number of times disasters such as earthquakes and fires have occurred, and the number of users having a predetermined attribute.

Further, the information processing according to the above-described embodiment is applied to the processing of processing a map of Japan by calculating a score indicating relevance to a specified keyword for each prefecture and changing the image indicating the prefecture. In addition to cases, it can be similarly applied to processing maps of administrative districts (for example, the 23 wards of Tokyo) whose areas are smaller than prefectures, and processing of world maps, etc., whose areas are wider than prefectures. That is, the information processing according to the above-described embodiments can be applied to processing information consisting of a plurality of areas in which a score indicating relevance of a predetermined keyword can be calculated.

In the above-described embodiment, the information processing apparatus 100 causes the terminal device 10 to display the map information by changing (for example, enlarging) the image of each area based on the score indicating the relevance to the specified keyword. explained. Not limited to this example, the information processing apparatus 100 may change the display mode, such as changing the display color of each region, based on the score.

Further, in the above-described embodiment, the information processing apparatus 100 may display, together with the map information, an object for changing the time axis of the map information displayed on the terminal device 10 by an intuitive operation.

[5. Hardware configuration]
The information processing apparatus 100 according to the embodiment is implemented by a computer 1000 configured as shown in FIG. 6, for example. FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus according to the embodiment.

Computer 1000 has CPU 1100 , RAM 1200 , ROM 1300 , HDD 1400 , communication interface (I/F) 1500 , input/output interface (I/F) 1600 and media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores programs executed by CPU 1100 and data used by these programs. Communication interface 1500 receives data from other devices via network (communication network) N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network (communication network) N.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, via an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. and so on.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via network (communication network) N.

[6. others]
Of the processes described in the above-described embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the processing can also be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

In the above-described embodiments and modifications, in order to realize the information processing method by the information processing apparatus 100 (see, for example, FIG. 5), each unit of the control unit 130 included in the information processing apparatus 100 (acquisition unit 131, calculation unit 132, and the display control unit 133) may be realized as an add-on to a provided program pre-installed in the information processing apparatus 100, or may be flexibly implemented as a dedicated provided program using a lightweight programming language or the like. It may be realized by describing in

Further, in the above-described embodiment and modification, the information processing apparatus 100 includes a device that provides various services to service users and a service user that visualizes the degree of interest in each region along the time axis. It may be configured to be physically distributed to the device that provides the information providing service.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. For example, the acquisition unit 131 and the calculation unit 132 of the control unit 130 may be functionally integrated.

Further, the above-described embodiment and modifications can be appropriately combined within a range that does not contradict the processing content.

[7. effect]
The information processing apparatus 100 according to the above embodiment includes an acquisition unit 131 , a calculation unit 132 and a display control unit 133 . Acquisition unit 131 acquires statistical information corresponding to a predetermined specified condition. Based on the statistical information acquired by the acquisition unit 131, the calculation unit 132 calculates a score indicating the relevance to a predetermined designated condition for each of a plurality of mutually adjacent regions. The display control unit 133 controls the relative positional relationship between areas when displaying map information in which the size or position of an image showing each of a plurality of areas is changed based on the scores calculated by the calculation unit 132. controls the display of map information so that

In this manner, the information processing apparatus 100 according to the embodiment can prevent damage to the layout of the map information MP-1 due to changes in the map information MP-1 (see FIG. 2 or FIG. 3) as much as possible. 1 visibility can be improved.

Further, in the information processing apparatus 100 according to the embodiment, the display control unit 133 performs control so that boundaries between adjacent areas are maintained. Thereby, the information processing apparatus 100 can prevent the images G of the regions R from overlapping each other, and can improve the visibility of the map information MP-1.

Further, in the information processing apparatus 100 according to the embodiment, the display control unit 133 performs control so that the sense of distance of multiple areas is reflected based on the center-of-gravity position of the image showing each of the multiple areas. Thereby, the information processing apparatus 100 can prompt the identification of each area, and can improve the visibility of the map information MP-1.

Further, in the information processing apparatus 100 according to the embodiment, the display control unit 133 determines the moving direction of the image showing each of the plurality of areas based on a constraint condition set in advance. Thereby, the information processing apparatus 100 can change the image G of each region R in a desired form, and can increase the possibility of improving the visibility of the map information MP-1.

Further, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires the number of searches for search words associated with a plurality of regions as statistical information based on the keyword information and the date and time information acquired as a predetermined specification condition. do. Further, the calculation unit 132 calculates a score indicating relevance to the keyword information for each region based on the number of searches for the search word acquired by the acquisition unit 131 . Thereby, the information processing apparatus 100 can simply evaluate the relevance to the designated keyword designated as the predetermined condition for each region.

As described above, the embodiments of the present application have been described in detail based on several drawings, but these are examples, and various modifications and It is possible to carry out the invention in other forms with modifications.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the control unit can be read as control means or a control circuit.

10 terminal device 100 information processing device 110 communication unit 120 storage unit 130 control unit 131 acquisition unit 132 calculation unit 133 display control unit

Claims (7)

an acquisition unit that acquires statistical information corresponding to a predetermined specified condition;
a calculation unit that calculates a score indicating relevance to a predetermined specified condition for each of a plurality of mutually adjacent regions based on the statistical information acquired by the acquisition unit;
A relative positional relationship between regions is maintained when displaying map information in which the size or position of an image showing each of the plurality of regions is changed based on the score calculated by the calculator. and a display control unit that controls display of the map information as described above. The display control unit
2. The information processing apparatus according to claim 1, wherein control is performed so as to maintain boundaries between areas adjacent to each other. The display control unit
3. The information processing apparatus according to claim 1, wherein control is performed based on the position of the center of gravity of the image so that a relative sense of distance of the plurality of regions is reflected. The display control unit
4. The information processing apparatus according to any one of claims 1 to 3, wherein the moving direction of the image is determined based on a constraint condition set in advance. The acquisition unit
Based on the keyword information and date and time information obtained as the predetermined specified condition, the number of searches for search words associated with the region is obtained as the statistical information,
The calculation unit
Based on the number of searches for the search word acquired by the acquisition unit, a score indicating relevance to the keyword information is calculated for each region. The information processing device according to . A computer-executed information processing method comprising:
an acquisition step of acquiring statistical information corresponding to a predetermined specified condition;
a calculating step of calculating a score indicating relevance to a predetermined designated condition for each of a plurality of mutually adjacent regions based on the statistical information obtained by the obtaining step;
A relative positional relationship between regions is maintained when displaying map information in which the size or position of an image showing each of the plurality of regions is changed based on the score calculated in the calculating step. and a display control step of controlling display of the map information as above. to the computer,
an acquisition procedure for acquiring statistical information corresponding to a predetermined specified condition;
a calculating step for calculating a score indicating relevance to a predetermined designated condition for each of a plurality of mutually adjacent regions based on the statistical information obtained by the obtaining step;
A relative positional relationship between regions is maintained when displaying map information in which the size or position of an image showing each of the plurality of regions is changed based on the score calculated by the calculation procedure. and a display control procedure for controlling the display of the map information as described above.

Images