JP6948424B2 - Information processing equipment, information processing methods, and information processing programs - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program that map the trend status of a target corresponding to a keyword.

Conventionally, there is known a trend map that aggregates keywords used on the Internet and maps and displays the current trend (see, for example, Non-Patent Document 1).
The trend map of Non-Patent Document 1 is a map in which each keyword is mapped and displayed with the number of searches for keywords used on the Internet as the horizontal axis and the trend index based on the latest transition of the number of searches for the keyword as the vertical axis.

In such a trend map, the first threshold value of the number of searches and the second threshold value of the trend index are set in advance, and the trend map is divided into four quadrants. Indicates whether it is. For example, the potential area is a quadrant in which the number of searches is less than the first threshold value and the trend index is less than the second threshold value. Keywords that are expected to be responding to hipster users, although the number of searches is still small, are mapped to the potential area. The next break area is the quadrant in which the number of searches is less than the first threshold value and the trend index is greater than or equal to the second threshold value. In the next break area, the number of searches is still small, but the rate of increase in the number of searches is high, and keywords that can be predicted to break in the future are mapped. The break area is the quadrant in which the number of searches is equal to or greater than the first threshold value and the trend index is equal to or greater than the second threshold value. The number of searches and the rate of increase in the number of searches are high in the break area, and the keywords that are currently breaking are mapped. A quadrant in which the number of searches is equal to or greater than the first threshold value and the trend index is less than the second threshold value is defined as a popular area. Keywords that have a stable and large number of searches and are of great interest to many users are mapped to the popular area.
Such a trend map enables the user to know the current trend and the future trend.

"Yahoo! Search Award", [online], Yahoo Japan Corporation, [Search on February 18, 2nd year of Reiwa], Internet (URL: https://searchaward.yahoo.co.jp/2018/trendmap/)

By the way, in the trend map described in Non-Patent Document 1, the trend index and the number of searches are divided into four quadrants using preset first threshold values and second threshold values, and each keyword is set in advance. Map to one of the specified quadrants (areas).
However, the degree to which a person feels a trend (trend) varies from person to person. For example, when a product developer considers a product for various keywords, he / she may think that it is sufficient to develop a product for a wide variety of keywords and one of them breaks. You may want to develop it. In the former, it is preferable to judge the keyword with a trend map in which the second threshold value, which is the boundary between the potential area and the next break area, is set low, and in the latter, conversely, the keyword is judged by raising the second threshold value. preferable. As described above, a device that displays a trend mapping indicating a more appropriate trend state for the user is desired.

An object of the present invention is to provide an information processing device, an information processing method, and an information processing program capable of appropriately displaying a trend state of a target corresponding to a keyword.

The information processing apparatus of the present invention acquires a keyword input by the terminal device, associates the keyword with the acquisition date and time of the keyword and acquires it as keyword history information, and based on the keyword history information. A trend index calculation unit that calculates a trend index based on the number of acquisitions of each keyword in the most recent predetermined period, and a volume index calculation that calculates a volume index based on the total number of acquisitions of each keyword or the total number of contents for each keyword. A unit, a condition acquisition unit for acquiring an area division condition for dividing a trend map having the trend index as the first axis and the trend map having the volume index as the second axis into a plurality of areas, and a plurality of units based on the area division condition. The trend map is divided by setting the range of the trend index and the range of the volume index with respect to the area of the above, and based on the trend index and the volume index calculated for each of the keywords, the trend map is displayed. A mapping unit for plotting a trend point, which is a point corresponding to each of the above keywords, is provided.

In the present invention, when displaying a plurality of areas in the trend map, the range of each area can be freely changed based on the area division condition. As a result, each area of the trend map can be dynamically changed, and a trend map showing an appropriate trend state can be displayed for the user who confirms the trend map.

The schematic diagram which shows the information processing system of one Embodiment of this invention. The block diagram which shows the schematic structure of the server apparatus of this embodiment. The flowchart which shows the information processing method in this embodiment. A flowchart showing a method of generating a trend map to be displayed as a default in this embodiment. The figure which shows an example of the trend map generated by default in this embodiment. The figure which shows an example of the trend display content of this embodiment. The flowchart which shows the generation method of the trend map when the map generation condition is changed in this embodiment. The figure which shows an example of the trend map which made the number of trend points of each area uniform. The figure which shows an example of the trend map which set each area according to the group of each trend point. The figure which shows an example of the trend map when the range of each area is specified.

Hereinafter, an embodiment according to the present invention will be described.
[Overview of information processing system]
FIG. 1 is a schematic view showing an information processing system of the present embodiment.
As shown in FIG. 1, the information processing system of the present embodiment includes a server device 10 which is an information processing device, a plurality of terminal devices 20 connected to the server device 10 via the Internet, and a plurality of map display devices 30. To be equipped.
In the present embodiment, the server device 10 acquires the keywords input by the terminal device 20, and based on these keywords, generates a trend map showing the trend state of the target corresponding to the keywords. The target corresponding to the keyword is a target that a person feels to be trendy (fashionable). For example, it may be a product, a person such as an entertainer or an artist, or an act of a person such as sports. May be.
Further, in the present embodiment, the map display device 30 connected to the Internet transmits the request information requesting the display of the trend map to the server device 10, so that the server device 10 transmits the generated trend map. Return to the map display device 30. Examples of the map display device 30 include a computer managed by a company that conducts marketing research and the like. The terminal device 20 managed by a general user may function as the map display device of the present invention. In this case, by transmitting the request information requesting the display of the trend map from the terminal device 20 to the server device 10, the server device 10 returns the generated trend map to the terminal device 20 which is the map display device.
Hereinafter, such an information processing system, particularly the server device 10, will be described in detail.

[Configuration of server device 10]
FIG. 2 is a block diagram showing a schematic configuration of the server device 10.
The server device 10 is composed of a general computer, and as shown in FIG. 2, includes each unit constituting the computer, such as a communication unit 11, a storage unit 12, and a processor 13. The number of computers constituting the server device 10 is not particularly limited. For example, the server device 10 may be configured by one computer, or a cloud server constructed by connecting a plurality of computers via a network may be used as the server device 10.
The communication unit 11 is connected to the Internet and communicates with each device such as the terminal device 20 via the Internet.

The storage unit 12 records various information and information processing programs for controlling the server device 10.
In addition, the storage unit 12 has a keyword history database (keyword history DB 121) that records keyword history information, a trend database (trend DB 122) that records trend information based on keyword analysis results, and a user database that records user information. It has a database such as (User DB123).
Here, an example in which various databases and information such as the keyword history DB 121, the trend DB 122, and the user DB 123 are recorded in the storage unit 12 of the server device 10 will be shown, but communication with the server device 10 is possible via the network. This information may be recorded in another connected data server or cloud storage.

The keyword history DB 121 records keyword history information including a keyword, an input date and time of the keyword, acquisition destination information indicating the acquisition destination of the keyword, target service information, and the like.
The keyword is a character string used in the terminal device 20. Here, in the present embodiment, as keywords, a search keyword input when a predetermined application is executed in the terminal device 20 and a search process for searching information is executed by the application is exemplified.
The input date and time is the date and time when the keyword was input in the terminal device 20. When the keyword is transmitted from the terminal device 20 to the server device 10 at the timing when the search process based on the keyword is executed by the terminal device 20, the date and time when the server device 10 acquires the keyword may be used.
The acquisition destination information is information that identifies the terminal device 20 that is the acquisition destination of the keyword, and for example, a user ID that identifies a user who operates the terminal device 20 is recorded.
The target service information is a search target service to which a search keyword is transmitted when a search process is performed by a predetermined application on the terminal device 20. For example, in the terminal device 20, a web browser (for example, Internet Explorer (registered trademark), Safari (registered trademark), etc.) that displays the content accesses the search content (portal site, SNS, etc.) that provides the content search. When the search process is executed, the search content becomes the search target service. Further, when the terminal device 20 implements an SNS (for example, Twitter (registered trademark), Instagram (registered trademark), etc.) application for browsing posted content posted by a plurality of users and performs a search process for the posted content. , The SNS is the search target service.

Trend information is recorded in the trend DB 122, and the trend information is recorded for each trend map by executing the analysis result of each keyword based on the keyword history information and generating the trend map.
This trend information includes the base date of the trend map, the keyword, the total number of searches for the keyword, the number of searches for the keyword at regular intervals (the number of period searches), the trend index for the keyword, the volume index for the keyword, and the generation. The trend map etc. that has been created is recorded.

The reference date is information indicating when the trend state is, and may be, for example, the generation date and time of the trend map, the date and time specified by the operator of the map display device 30 requesting the display of the trend map, and the like. It may be.
Keywords are keywords displayed on the trend map. The keywords may be all keywords in the keyword history information within the trend determination period for determining the trend state, or may be keywords having a predetermined number of searches or more. Unless otherwise specified, the trend determination period may target all keywords in the keyword history information of the keyword history DB 121. When the trend determination period is specified as, for example, one month, the keywords in the keyword history information from the reference date to before the trend determination period are targeted.

The total number of searches is the total number of searches performed using the target keyword.
The period search number is, for example, the number of keyword searches in a predetermined period (increase rate determination period) such as every year, every month, every week. The rate of increase determination period is set for each trend determination period, for example, and is shorter than the trend determination period. For example, if the trend determination period is one year, the rate of increase determination period is one month, and if the trend determination period is one month, the rate of increase determination period is one week. In this embodiment, an example in which the length of the increase rate determination period is preset with respect to the length of the trend determination period is shown. For example, the operator of the map display device 30 determines the increase rate determination period. You may specify the length.

The trend index is a score indicating the search increase rate of the target keyword. This trend index is obtained, for example, by dividing the number of period searches in the latest rate of increase determination period by the total number of period searches of all keywords in the period of increase rate determination (total number of period searches). The method for calculating the trend index is not limited to this. For example, it may be the number of search transitions in the number of period searches in the latest rate of increase determination period (difference in the number of period searches in two periods along the time series), and the number of search transitions is increased by two consecutive increases. The value may be divided by the sum of the total number of searches during the rate determination period, or may be another calculation method as long as the score is based on the search increase rate.

The volume index is a score based on the total number of searches for the target keyword or the number of contents corresponding to the keyword. In this embodiment, a score based on the total number of keyword searches is illustrated as the volume index. This volume index may be, for example, the number obtained by dividing the total number of searches for the target keyword by the total number of searches for all the keywords within the trend determination period (total number of searches), or is the total number of searches itself. May be good.

The trend map is a diagram in which points (trend points) corresponding to each keyword are plotted on a two-axis map having the trend index as the vertical axis and the volume index as the horizontal axis. This trend map is divided into a plurality of areas according to the range of the trend index and the range of the volume index, and the trend points corresponding to each keyword are plotted in any of the areas.
The details of the trend map will be described later, but in the present embodiment, an example in which the trend map is divided into four areas, a potential area, a next break area, a break area, and a popular area, will be shown.

The user DB 123 records user information of a plurality of users.
The user information includes a user ID that identifies the user, user attributes, action history, base information, location history, and the like.
The user attribute is personal information such as the user's gender and age group, and various detailed information of the user such as the user's hobbies, special skills, and occupation.
The action history is historical information indicating the user's action, and the action date and time and the action content are recorded in association with each other. For example, the behavior history includes a history of buying and selling products, a history of searching on the Internet, a history of browsing contents, and the like.
The base information is location information based on the user, and for example, the address and latitude and longitude of a place of residence, work place, etc. are recorded.
The position history is a movement history of the user, for example, a history of positions detected by a positioning sensor mounted on the terminal device 20. In this position history, the position of the user and the date and time when the user was at the position are recorded in association with each other.

The processor 13 is composed of an arithmetic circuit such as a CPU and a recording circuit such as a RAM. The processor 13 expands the information processing program recorded in the storage unit 12 into the RAM, and executes various processes in cooperation with the program expanded in the RAM.
Then, by reading and executing the information processing program, the processor 13 functions as a keyword acquisition unit 131, a trend map generation unit 132, a map output unit 133, and the like, as shown in FIG.

The keyword acquisition unit 131 acquires the keyword history information including the keyword (search keyword), the input date and time, the acquisition destination information, the search target service, and the like, and stores and stores the keyword history information in the keyword history DB 121. For example, when the server device 10 is a search server that provides a search service, the keyword acquisition unit 131 may acquire keyword history information from the terminal device 20. Further, the terminal device 20 may be set to transmit the keyword history information to the server device 10 when the search process using a predetermined application is executed, and the keyword history may be periodically sent to the server device 10. A history transmission program for transmitting information may be installed.
Alternatively, the keyword acquisition unit 131 may acquire the keyword history information from the search server that performs the search process. For example, when the terminal device 20 accesses the search content using a web browser and performs the search process, the keyword history information may be acquired from the search server that provides the search content. Similarly, in the terminal device 20, when the search process is performed by the application that posts or browses on the SNS, the keyword history information may be acquired from the search server provided by the SNS.

As shown in FIG. 2, the trend map generation unit 132 includes a condition acquisition unit 132A, a target extraction unit 132B, a trend index calculation unit 132C, a volume index calculation unit 132D, and a mapping unit 132E.
The condition acquisition unit 132A acquires the map generation condition for generating the trend map. This map generation condition includes an area division condition.
The area division condition is that a trend map, which is a two-axis coordinate map with the horizontal axis (second axis) as the volume index and the vertical axis (first axis) as the trend index, is divided into a plurality of (four in this embodiment) areas. It is a condition for dividing. This area division condition is acquired from, for example, the map display device 30 or the terminal device 20.
In addition to the above area division conditions, the map generation conditions include, for example, the user attributes (gender, age group, etc.) of the user who entered the keyword, the location of the user who entered the keyword, the position where the keyword was entered, and the keyword. The search target service or the like in which the keyword is input may be included during the period in which is input.

The target extraction unit 132B extracts a keyword for which the trend state is analyzed from the keyword history DB 121 based on the map generation condition. For example, when "user attribute: female" is included as the map generation condition, the target extraction unit 132B extracts the user information in which "female" is recorded as the user attribute, and acquires the user ID of the user information. Extract the keyword history information included as. When "search target service: portal site Y" is included as a map generation condition, the target extraction unit 132B extracts keyword history information including "portal site Y" in the target service information and generates trend information. ..

The trend index calculation unit 132C calculates the trend index for each keyword in the extracted keyword history information.
The volume index calculation unit 132D calculates the volume index for each keyword of the extracted keyword history information.
The mapping unit 132E divides the trend map into a plurality of areas based on the area division condition, the trend index, and the volume index, plots the points (trend points) corresponding to the keywords on the trend map, and generates the trend map. do.
When the map output unit 133 receives the trend map display request from the map display device 30 or the terminal device 20, the map output unit 133 transmits the trend map to the map display device 30 or the terminal device 20.
The detailed operation of each function configuration will be described later.

[Configuration of terminal device 20 and map display device 30]
The terminal device 20 is a computer managed by a user, and is composed of, for example, a smartphone, a tablet terminal, a personal computer, or the like. Further, the map display device 30 is a computer managed by a company or store that wants to carry out marketing research or the like, and is composed of, for example, a smartphone, a tablet terminal, a personal computer, or the like, like the terminal device 20. As described above, the terminal device 20 may function as the map display device of the present invention.
Although the illustration of the specific configuration of the terminal device 20 and the map display device 30 is omitted, the terminal device 20 and the map display device 30 have a basic configuration of a general computer. That is, the terminal device 20 and the map display device 30 include an input operation unit that accepts an operator's operation, a display that displays image information, a recording device that records various information, and an arithmetic circuit (CPU or the like) that performs arithmetic processing of various information. I have.

[Information processing method]
Next, the method of generating and displaying the trend map in the information processing system of the present embodiment will be described with particular focus on the information processing method in the server device 10.
FIG. 3 is a flowchart showing an information processing method according to the present embodiment.
In order to generate and display the trend map, the keyword acquisition unit 131 of the server device 10 first acquires the keyword history information regarding the keyword input by the terminal device 20, that is, the keyword, the input date and time, the acquisition destination information, and the target. Acquire service information (step S1: keyword acquisition step). Further, the keyword acquisition unit 131 stores the acquired keyword history information in the keyword history DB 121.
In this step S1, the keyword acquisition unit 131 may acquire the keyword history information transmitted from the terminal device 20 at an arbitrary timing, or may acquire the keyword history information transmitted from the search server at an arbitrary timing. good. The arbitrary timing may be, for example, the timing at which the user inputs a keyword in the terminal device 20 and performs the search process, or the timing at which the search server receives the keyword from the terminal device 20. Further, the terminal device 20 or the search server may store the keyword history information, and the keyword history information stored periodically (for example, at a preset time) may be transmitted to the server device 10. Alternatively, the terminal device 20 or the search server may accumulate keyword history information and transmit the keyword history information to the server device 10 at the timing when a predetermined number of keyword histories are accumulated.

Further, the trend map generation unit 132 of the server device 10 generates a trend map based on the keyword history information accumulated in the keyword history DB 121 (step S2).
The trend map generated in step S2 is a trend map to be displayed as a default when the map display device 30 (or the terminal device 20) accesses a predetermined trend display content published on the Internet by the server device 10. Is. This step S2 may be carried out at a fixed cycle (for example, every month), or may be carried out every time a fixed number of keyword history information is accumulated.

FIG. 4 is a flowchart showing a method of generating a trend map to be displayed as a default.
In this step S2, the condition acquisition unit 132A reads the default map generation condition recorded in the storage unit 12 (step S21). As the default map generation condition, for example, the default trend judgment period (for example, 1 year) and the default increase rate judgment period (for example, 1 month) set in advance are set as the analysis target period without specifying the user attribute or the position, and as the area division condition. , It is a condition that the trend map is divided into four areas (potential area, next break area, break area, popular area) by the preset trend index threshold value and volume index threshold value.
Next, the target extraction unit 132B extracts the keyword history information from the keyword history DB 121 based on the default map generation condition (step S22). For example, when the user attribute and the position are not specified as the default map generation condition, the keyword history information from the current date and time (execution timing of step S2) to the latest default trend determination period (for example, one year ago) is extracted. The default trend determination period may not be set. In this case, all keyword history information may be extracted.

After that, the trend index calculation unit 132C calculates the trend index of each keyword based on the extracted keyword history information (step S23: trend index calculation step). As described above, the trend index calculation unit 132C calculates the trend index by using the number of period searches in the latest rate of increase determination period as the total number of period searches of all keywords in the period of the rate of increase (total number of period searches). It may be obtained by dividing, or other methods may be used.
Further, the volume index calculation unit 132D calculates the volume index of each keyword based on the extracted keyword history information (step S24: volume index calculation step). As described above, the volume index calculation unit 132D may calculate the volume index by, for example, dividing the total number of keyword searches by the total number of searches for all keywords within the trend determination period (total number of searches). It may be calculated by using the method of. The order of steps S23 and S24 may be changed, or steps S24 may be performed at the same time.

Then, the mapping unit 132E generates a trend map in which the four areas are divided based on the default map generation conditions (step S25: mapping step).
Specifically, the mapping unit 132E generates a trend map based on the area division condition included in the default map generation condition.
FIG. 5 is a diagram showing an example of the trend map 50A generated by default.
As shown in FIG. 5, the mapping unit 132E has, for example, calculated a two-axis coordinate diagram having a trend index on the vertical axis and a volume index on the horizontal axis with a preset default trend index threshold value (for example, step S23). Divided into 4 quadrants using the half value of the maximum value of the trend index) and the default volume index threshold value (for example, the half value of the maximum value of the volume index calculated in step S24), that is, the potential area 51, the next break area 52, and the break. It is divided into four areas, area 53 and popular area 54. Then, based on the trend index and the volume index of each keyword, the trend points 55 corresponding to each keyword are plotted on the 2-axis coordinate map to generate the trend map 50A.
The mapping unit 132E may indicate a keyword corresponding to the vicinity of each trend point 55, and may add link information to the content indicating the detailed content of the keyword to each keyword.

After step S25, the trend map generation unit 132 records the trend information including the generated default trend map 50A in the trend DB 122.

On the other hand, when a predetermined application such as a browser is executed on the map display device 30 and an operation to access the server device 10 is performed by the operator of the map display device 30, the map display device 30 is shown in FIG. As shown, the request information requesting the display of the trend map is transmitted to the server device 10 (step S11). Note that FIG. 3 shows an example in which the map display device 30 transmits request information. As described above, the terminal device 20 may be the map display device of the present invention. In this case, the terminal device 20 to the server. The request information is transmitted to the device 10. The same applies to the subsequent processing performed by the map display device 30, and may be performed by the terminal device 20.
When the map output unit 133 receives the request information, the map output unit 133 outputs the trend display content including the trend map to the map display device 30 of the access source (step S3). As a result, the map display device 30 causes the display to display the trend display content (step S12).

FIG. 6 is a diagram showing an example of the trend display content 40.
As shown in FIG. 6, the trend display content 40 includes, for example, a map display area 41, a ranking display area 42, a period selection area 43, a narrowing down area 44, a division condition setting area 45, a search history display area 46, and the like. ..
The map display area 41 is a display area on which the trend map is displayed. When the map display device 30 (or the terminal device 20) displays the trend display content 40 for the first time, the default trend map 50A generated in step S2 is displayed in the map display area 41.

In the ranking display area 42, a predetermined number (for example, three) of keywords having a higher trend index and information on the keywords are displayed. As information about the keyword, for example, an explanation of the keyword may be displayed, and a transition of the number of searches for the keyword or a past ranking may be displayed.

The period selection area 43 is a portion for inputting to change the extraction condition of the keyword to be analyzed by changing the trend determination period. The period selection area 43 may be provided with an input unit for changing the rate of increase determination period.
The narrowing down area 44 is a part for inputting to change the extraction condition of the keyword to be analyzed by narrowing down the user attribute of the user who input the keyword, the area where the keyword is input, and the like.

The division condition setting area 45 is a portion for inputting to change the area division conditions of the four areas of the potential area 51, the next break area 52, the break area 53, and the popular area 54.
In the example shown in the present embodiment, the division condition setting area 45 has a uniform selection button 451 for equalizing the number of plots of the trend points 55 for each area, and difference division for dividing each area according to the distribution state of the trend points. A selection button 452, a range of the trend index of each area, a range input field 453 for setting the range of the volume index to an arbitrary range, and the like are displayed.

The search history display area 46 is a portion for displaying and selecting the map generation condition of the trend map displayed in the past in the map display device 30 (or the terminal device 20) displaying the trend display content.

In the map display device 30 on which the trend display content 40 as shown in FIG. 6 is displayed, the map is displayed by operating the period selection area 43, the narrowing down area 44, the division condition setting area 45, and the search history display area 46. The display device 30 transmits the condition change information according to the operation content to the server device 10 (step S13).
For example, when the operator of the map display device 30 operates the period selection area 43, the map display device 30 transmits condition change information to change the trend determination period and the reference date. Further, when the operator operates the narrowing area 44, the map display device 30 performs a narrowing search according to the attributes of the user who has entered the keyword, the area where the keyword has been entered, the base of the user who has entered the keyword, and the like. Send the condition change information to the effect. Further, when the operator operates the division condition setting area 45, the map display device 30 transmits the condition change information to the effect that the area of each area of the trend map is changed. A plurality of items can be operated at the same time in the period selection area 43, the narrowing down area 44, and the division condition setting area 45, and a plurality of maps are generated by the operator selecting the "search button" after the change. The condition change information including the condition is transmitted from the map display device 30 to the server device 10.
Alternatively, the operator may select the past map generation condition displayed in the search history display area 46, and by selecting the past map generation condition, a condition for requesting a change to the map generation condition. The change information is transmitted from the map display device 30 to the server device 10.

When the trend map generation unit 132 of the server device 10 receives the condition change information (step S4: condition acquisition step), the trend map generation unit 132 generates a trend map based on the newly acquired map generation condition (step S5).
FIG. 7 is a flowchart showing a method of generating a trend map when a map generation condition is specified.

In this step S5, the condition acquisition unit 132A reads the map generation condition included in the condition change information received in step S4 (step S51).
Next, the target extraction unit 132B extracts the keyword history information from the keyword history DB 121 based on the map generation condition, as in step S22. For example, when the attribute of the user who input the keyword and the search target service where the keyword is input are specified from the map display device 30 as the map generation condition, the keyword in which the user ID corresponding to the acquisition destination information is recorded is recorded. Extract the keyword history information in which the search target service corresponding to the history information and the target service information is recorded.

After that, as in step S23, the trend index calculation unit 132C calculates the trend index of each keyword based on the extracted keyword history information. Further, as in step S24, the volume index calculation unit 132D calculates the volume index of each keyword based on the extracted keyword history information.
Then, the mapping unit 132E generates a trend map based on the map generation conditions (step S52: mapping step).
This step S52 is the same as step S25, but the mapping unit 132E divides the area of the trend map based on the area division condition when a new area division condition is included as the map generation condition.

FIG. 8 is a diagram showing an example of a trend map 50B in which the number of trend points in each area is uniform.
For example, when the uniform selection button 451 is selected by the operation of the map display device 30, the mapping unit 132E displays the trend map 50B as shown in FIG. 8 in which the number of trend points 55 included in each area is uniform. Generate. The term “uniformity” described here includes not only the case where the number of trend points 55 included in each area is the same, but also the case where the number of trend points 55 is substantially the same.
In this case, in the default trend map 50A, the number N _{1 of the trend points 55 included in the potential area 51, the number N 2 of} the trend points 55 included in the next break area 52, and the trend points 55 included in the break area 53. the number N _3, the number N ₄ of the trend point 55 included in the popular area 54, so that the average N _a by dividing the total trend point 4, set the scope and volume index trend index of each area, That is, the boundaries between the areas are moved. For example, the trend index of the minimum area so that the trend points of other areas plotted closer to the minimum area where the value of _{N 1 to} N _{4 is the minimum are included in the minimum area.} Expand the range or the range of the volume index. By repeating this, the trend points in all areas are made uniform.

FIG. 9 is a diagram showing an example of a trend map 50C in which each area is set according to a group of trend points.
When the difference division selection button 452 is selected by the operation on the map display device 30, the mapping unit 132E sets the boundary between the areas based on the difference in the distribution centers of the areas as shown in FIG. Generate a trend map 50C.
In this case, for example, in the default trend map 50A, the mapping unit 132E calculates the distribution center (average of the trend index and the average of the volume index) of the trend points belonging to each area, and the potential center P1 (t ₁ , v _1). ), Next break center P2 (t ₂ , v ₂ ), break center P 3 (t ₃ , v ₃ ), and popular center P 4 (t ₄ , v ₄ ). _{Then, the average (t 1} + t ₂ ) / 2 of the trend indexes of the potential center P1 and the next break center P2 is set as the boundary between the potential area 51 and the next break area 52, and the volume index of the potential center P1 and the popular center P4 The average (v ₁ + v ₄ ) / 2 is defined as the boundary between the potential area 51 and the popular area 54. _{Similarly, the average (v 2} + v ₃ ) / 2 of the volume indexes of the next break center P2 and the break center P3 is defined as the boundary between the next break area 52 and the break area 53. _{Further, the average (t 3} + t ₄ ) / 2 of the trend indexes of the break center P3 and the popular center P4 is defined as the boundary between the break area 53 and the popular area 54.

FIG. 10 is a diagram showing an example of the trend map 50D in which the operator of the map display device 30 specifies the range of each area.
When the range of the trend index of the area and the range of the volume index are input to the range input field 453 by the operation on the map display device 30, the mapping unit 132E inputs the boundary of each area as shown in FIG. Set according to the range. Only the boundaries of some areas may be specified, or the range of only one of the trend index and the volume index may be specified. Further, in this example, by inputting a numerical value in the range input field 453, the range of the trend index and the range of the volume index of each area are input, but the boundary of the trend map displayed in the map display area 41 is set. The range of the trend index or the volume index may be specified by performing the operation of moving directly.
The example of FIG. 10 is a trend map when the trend _{index threshold value Q t1} and the volume index threshold value Q _{v1 of the potential area 51, the volume index threshold value Q v2} of the next break area 52, and the trend index threshold value Q _{t3 of the break area 53 are input.} It is 50D.
After that, the trend map generation unit 132 records (accumulates) the trend information including the trend map generated based on the condition change information in the trend DB 122.

After step S5, the map output unit 133 updates the trend map displayed in the map display area 41 of the trend display content 40 to the trend map generated in step S5, and sends the condition change information to the map display device 30. , The trend display content 40 is transmitted (step S6).
As a result, the map display device 30 displays the trend display content 40 including the updated trend map on the display (step S14).
Further, the map display device 30 determines whether or not an operation to end the display of the trend display content 40 has been performed (step S15). If NO is determined in step S15, the process returns to step S13.

[Action and effect of this embodiment]
The server device 10 of the present embodiment includes a storage unit 12 and a processor 13, and the processor 13 can be used as a keyword acquisition unit 131 and a trend map generation unit 132 by reading an information processing program stored in the storage unit 12. Function. The keyword acquisition unit 131 acquires the keyword input by the terminal device 20, associates the keyword with the acquisition date and time of the keyword, and stores the keyword as keyword history information. The trend map generation unit 132 includes a condition acquisition unit 132A, a trend index calculation unit 132C, a volume index calculation unit 132D, and a mapping unit 132E. The condition acquisition unit 132A acquires an area division condition for dividing the trend map having the trend index on the vertical axis and the volume index on the horizontal axis into four areas. The trend index calculation unit 132C calculates a trend index based on the number of acquisitions (number of searches) in the latest rate of increase determination period for each keyword based on the keyword history information. The volume index calculation unit 132D calculates the volume index based on the total number of acquisitions (total number of searches) of each keyword. Then, the mapping unit 132E sets the range of the trend index and the range of the volume index for each area based on the area division condition, divides the trend map, and divides the trend map into the trend index and the volume index calculated for each keyword. Based on this, the trend points 55 corresponding to each keyword are plotted on the trend map.

Thereby, in the present embodiment, when displaying the potential area 51, the next break area 52, the break area 53, and the popular area 54 in the trend map, the range of each area can be freely changed. For example, the range of each area can be changed according to the distribution of trend points, or the range of the area can be set according to the request of the operator of the map display device 30. As a result, each area of the trend map can be dynamically changed, and a trend map showing a trend state suitable for the operator of the map display device 30 can be displayed.

In the server device 10 of the present embodiment, the mapping unit 132E divides the trend map into a plurality of areas based on the area division condition and the trend index and volume index of each keyword.
That is, in the conventional trend map, the range of each area is based on the preset default trend index threshold and the default volume index threshold, regardless of the distribution of trend points based on the trend index and volume index of each keyword. Was set. On the other hand, in the present embodiment, the distribution of trend points based on the trend index and volume index of each keyword and each area of the trend map are changed based on the area division condition. As a result, as described above, each area of the trend map can be dynamically changed, and a trend map showing an appropriate trend state can be displayed for the operator of the map display device 30.

In the present embodiment, when the mapping unit 132E acquires the area division condition that the condition acquisition unit 132A makes the number of keywords belonging to each area uniform, the mapping unit 132E is the trend point plotted in each area. Set the range of each area with a uniform number of.
As a result, it is possible to display a trend map in which the variation in the number of trend points belonging to each area is suppressed.

In the present embodiment, when the condition acquisition unit 132A acquires the range of the trend index for each area and the area division condition including the range of the volume index, the mapping unit 132E has the range of the trend index for each acquired area and the range of the trend index for each acquired area. Divide the trend map based on the range of the volume index.
As a result, the operator of the map display device 30 can arbitrarily set the range of each area, and can appropriately display the trend map desired by the operator.

In the present embodiment, the keyword acquisition unit 131 acquires, as a keyword, a search keyword to be input when the search process is performed by the terminal device 20.
Such search keywords are often keywords in the field that each user is interested in, and by accumulating keyword history information related to the keyword, those that are of interest to many users, that is, trends are preferably analyzed. can do.

[Modification example]
The present invention is not limited to the above-described embodiment, but also includes the modifications shown below to the extent that the object of the present invention can be achieved.

[Modification 1]
In the above embodiment, an example in which only one trend map is displayed in the map display area 41 in one trend display content 40 is shown, but a plurality of trend maps may be displayed side by side.
Further, the trend map may be switched by providing the map display area 41 with a selection button for selecting the trend map to be displayed among the plurality of trend maps and selecting the selection button.
Alternatively, a plurality of trend maps may be sequentially switched by a moving image in an animation format.

For example, in the above embodiment, the keyword history information includes the input date and time when the keyword is input. Therefore, by setting a plurality of reference dates for determining the trend state, a trend map for each reference date can be generated, and these trend maps may be arranged in chronological order and displayed in a moving image format or the like.
To give a specific example, the trend map generation unit 132 uses the current time point and the respective time points of the timing (for example, one week ago, two weeks ago, and three weeks ago) at intervals of one week from the current time as the reference date. Then, a trend map is generated with the period from each time point to one week before as the rate of increase determination period and the period from each time point to one month before as the trend determination period. Then, when displaying the trend map in the map display area 41 of the trend display content 40, these trend maps are displayed in animation in chronological order, or a selection button for switching the reference date is displayed at the bottom of the trend map. do.

In this case, when the uniform selection button 451 or the difference division selection button 452 is selected as the area division condition, the boundary of each area also changes depending on the distribution state of the plotted trend points 55, and the change of the trend state changes. It can be displayed in a more visually understandable manner.

[Modification 2]
In the above embodiment, when the uniform selection button 451 is selected in the trend display content 40, the mapping unit 132E makes the number of trend points in each area equal, that is, the number of keywords belonging to each area is the same. The trend map was divided into four areas so that the ratios were (or almost the same).
On the other hand, the trend display content 40 may be provided with a ratio setting unit for setting the ratio of trend points in each area. In this case, the operator of the map display device 30 may, for example, set the ratio of the number of trend points 55 included in the potential area 51 to 30%, the ratio of the number of trend points 55 included in the next break area 52 to 20%, and break. The ratio of the number of trend points 55 included in the area 53 can be set to 10%, the ratio of the number of trend points 55 included in the popular area 54 can be set to 40%, and the like.
As a result, the condition acquisition unit 132A can acquire the area division condition including the ratio of the number of trend points for each area, that is, the ratio of the number of keywords belonging to each area, and the mapping unit 132E can acquire the area division condition of each area. The range of each area is set so that the ratio of the number of trend points becomes the ratio specified in the acquired area division condition.

[Modification 3]
In the above embodiment, the keyword acquisition unit 131 shows an example of acquiring the search keyword input by the terminal device 20, but the present invention is not limited to this.
For example, the keyword acquisition unit 131 may acquire the posted article posted on the SNS or the like from the terminal device 20 and analyze and acquire the keyword included in the posted article. Further, the content (posted article on the web page or SNS) viewed on the terminal device 20 may be analyzed to acquire the keyword. In this case, the keyword contained most in the content or posted article, or the keyword included in the title of the content or posted article is acquired as a keyword to be recorded in the keyword history information.

[Modification example 4]
In the above embodiment, the condition acquisition unit 132A generates a trend map based on the map generation condition received from the map display device 30 (or the terminal device 20), and updates the map display area 41 of the trend display content 40.
On the other hand, a plurality of trend maps may be generated in advance according to the map generation conditions that can be selected. For example, a trend map for each user attribute, a trend map for each region, and the like may be generated in advance based on a plurality of area division conditions.
In this case, when the condition change information is received from the map display device 30, it is only necessary to read the corresponding trend map, and the map display device 30 or the terminal device 20 can immediately display the trend map.

[Modification 5]
The genre of the keyword may be further recorded as the keyword history information.
For such a genre, for example, dictionary data associated with the keyword and the genre may be used, and the genre may be recorded in the keyword history information when the keyword acquisition unit 131 acquires the keyword. Alternatively, a genre that is highly relevant to the keyword may be estimated based on posted information such as SNS. For example, a keyword and a genre related to the keyword are extracted from a large amount of posted information and tags attached to the posted information, and a genre estimation model that estimates the genre for the keyword is generated by machine learning using this as teacher data. You may.
In such a case, the server device 10 can acquire the genre of the keyword as a map generation condition and generate a trend map corresponding to the genre. For example, when the condition acquisition unit 132A acquires the genre with the "entertainer", the target extraction unit 132B extracts the keyword history information in which the "entertainer" is recorded as the genre. As a result, the trend map generation unit 132 can generate a trend map of the "entertainer".

[Modification 6]
In the above embodiment, in step S2, the trend map is generated based on the default map generation conditions set in advance. On the other hand, the last map generation condition (map generation condition corresponding to the last displayed trend map) obtained from the individual terminal device 20 and the map display device 30 identifies the terminal device 20 and the map display device 30. It may be stored in the storage unit 12 together with the identification information. In this case, in step S21, the condition acquisition unit 132A acquires the identification information from the terminal device 20 or the map display device 30, and reads out the default map generation condition corresponding to the identification information. As a result, the trend map displayed by default can be a trend map corresponding to the map generation condition in which the trend map is finally displayed on the terminal device 20 or the map display device 30.
For example, if the map generation condition of the trend map displayed last is an area division condition that the trend judgment period is one month, the user attribute is female, and the ratio of the number of keywords belonging to each area is equalized, then When displaying the trend display content 40, a trend map similar to the map generation condition of the last displayed trend map may be displayed. In this case, only the base date of the trend map may be changed to the current date and time.

[Modification 7]
In the above embodiment, the mapping unit 132E shows an example in which the trend map is divided into four areas, a potential area 51, a next break area 52, a break area 53, and a popular area 54, but the present invention is not limited to this.
The mapping unit 132E may divide the trend map into two or three areas, or may divide the trend map into five or more areas.
Further, in the above embodiment, as a display method of each area, an example of displaying each area by surrounding it with a rectangular or polygonal frame is shown, but even if each area is displayed by a circular or elliptical frame. good.

[Modification 8]
In the above embodiment, the volume index is calculated based on the total number of searches for each keyword, but is not limited thereto.
For example, the volume index may be calculated based on the number of contents searched by the search engine for each keyword or the number of articles posted on SNS or the like.

10 ... server device (information processing device), 12 ... storage unit, 13 ... processor, 20 ... terminal device, 30 ... map display device, 40 ... trend display content, 41 ... map display area, 45 ... division condition setting area, 50A , 50B, 50C, 50D ... Trend map, 51 ... Potential area, 52 ... Next break area, 53 ... Break area, 54 ... Popular area, 55 ... Trend point, 121 ... Keyword history DB, 122 ... Trend DB, 123 ... User DB, 131 ... keyword acquisition unit, 132 ... trend map generation unit, 132A ... condition acquisition unit, 132B ... target extraction unit, 132C ... trend index calculation unit, 132D ... volume index calculation unit, 132E ... mapping unit, 133 ... map output Part, 451 ... Uniform selection button, 452 ... Difference division selection button, 453 ... Range input field.

Claims (7)

A keyword acquisition unit that acquires the keyword input by the terminal device, associates the keyword with the acquisition date and time of the keyword, and acquires it as keyword history information.
A trend index calculation unit that calculates a trend index based on the number of acquisitions of each keyword in the latest predetermined period based on the keyword history information.
A volume index calculation unit that calculates a volume index based on the total number of acquisitions of each of the keywords or the total number of contents searched by the search processing unit using the keywords.
A condition acquisition unit for acquiring an area division condition for dividing a trend map having the trend index as the first axis and the volume index as the second axis into a plurality of areas.
Based on the area division condition, the trend index range and the volume index range for the plurality of areas are set to divide the trend map, and the trend index and the volume calculated for each of the keywords. An information processing apparatus including a mapping unit that plots trend points, which are points corresponding to each of the keywords, on the trend map based on an index. In the information processing apparatus according to claim 1,
The information processing device is characterized in that the mapping unit divides the trend map into a plurality of the areas based on the area division condition and the trend index and the volume index of each of the keywords. In the information processing apparatus according to claim 2,
When the condition acquisition unit acquires the area division condition including the ratio of the number of the keywords belonging to each area, the mapping unit has each said based on the trend index and the volume index of each of the keywords. An information processing device that divides the trend map into a plurality of the areas so that the number of the trend points plotted in the area is the ratio to the area. In the information processing apparatus according to claim 1,
When the condition acquisition unit acquires the trend index range for each area and the area division condition including the volume index range, the mapping unit obtains the trend index range for each of the acquired areas. And an information processing apparatus characterized in that the trend map is divided based on the range of the volume index. In the information processing apparatus according to any one of claims 1 to 4.
The information processing device is characterized in that the keyword acquisition unit acquires, as the keyword, a search keyword acquired when a search process is performed by the terminal device. An information processing method that uses a computer to generate a trend map.
The computer includes a keyword acquisition unit, a trend index calculation unit, a volume index calculation unit, a condition acquisition unit, and a mapping unit.
A keyword acquisition step in which the keyword acquisition unit acquires a keyword input by the terminal device, associates the keyword with the acquisition date and time of the keyword, and acquires it as keyword history information.
A trend index calculation step in which the trend index calculation unit calculates a trend index based on the number of acquisitions of each keyword in the latest predetermined period based on the keyword history information.
A volume index calculation step in which the volume index calculation unit calculates a volume index based on the total number of acquisitions of each of the keywords or the total number of contents searched by the search processing unit using the keywords.
A condition acquisition step in which the condition acquisition unit acquires an area division condition for dividing the trend map into a plurality of areas with the trend index as the first axis and the volume index as the second axis.
The mapping unit divides the trend map by setting the range of the trend index and the range of the volume index for a plurality of the areas based on the area division condition, and calculates for each of the keywords. An information processing method comprising performing a mapping step of plotting a trend point, which is a point corresponding to each of the keywords, on the trend map based on the trend index and the volume index. An information processing program that can be read and executed by a computer.
An information processing program characterized in that the computer functions as the information processing device according to any one of claims 1 to 5.

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