WO2022083718A1

WO2022083718A1 - Viewing history analyzing device and nonvolatile storage medium

Info

Publication number: WO2022083718A1
Application number: PCT/CN2021/125521
Authority: WO
Inventors: 永濱健太郎; 田之上伸吾
Original assignee: 海信视像科技股份有限公司; 东芝视频解决方案株式会社
Priority date: 2020-10-23
Filing date: 2021-10-22
Publication date: 2022-04-28
Also published as: CN114667736A; JP2022069048A

Abstract

Provided are a highly convenient viewing history analyzing device and a nonvolatile storage medium. The viewing history analyzing device is provided with an input part, a statistical calculation part, and a providing part. The input part receives an input specifying multiple first regions. The statistical calculation part calculates, on the basis of respective positions at where multiple receiving devices are provided and of respective viewing information of the multiple receiving devices, statistical information related to viewership for broadcast program units in the region combining the multiple specified first regions. The providing part provides a calculated ranking of the statistical information of the broadcast program units.

Description

Viewing history analysis device and non-volatile storage medium

This application claims the priority of the Japanese patent application filed on October 23, 2020 with the application number 2020-177987 and entitled "Viewing History Analysis Device and Viewing History Analysis Device Program", the entire contents of which are hereby incorporated by reference Incorporated in this application.

technical field

The present application relates to a viewing history analysis device and a nonvolatile storage medium.

Background technique

According to a conventional method in which a receiving apparatus such as a television apparatus analyzes viewing history, statistical data such as audience ratings are generally displayed in a line graph, a bar graph, or the like.

prior art literature

Patent Literature

Patent Document 1: Japanese Patent Laid-Open No. 2012-243013

SUMMARY OF THE INVENTION

For local companies, in order to obtain the highest possible advertising effect, there is a desire to know the popular radio programs in the area where they are active. The above-mentioned existing methods cannot respond to such expectations and are low in convenience.

An object of the embodiments of the present application is to provide a viewing history analysis device and a viewing history analysis device program with high convenience.

According to one embodiment, the viewing history analysis device includes an input unit, a statistical calculation unit, and a providing unit. The input unit receives input specifying a plurality of first regions. The statistic calculation unit calculates, in units of broadcast programs, statistic information about the viewing amount in an area combining a plurality of designated first areas, based on the installation positions of the plurality of reception apparatuses and the viewing information of each of the plurality of reception apparatuses. The providing section provides the calculated ranking of the statistical information of the broadcast program unit.

Description of drawings

FIG. 1 is a schematic diagram showing an example of the configuration of a system using the viewing history analysis device of the embodiment;

2 is a schematic diagram showing an example of a screen provided by the viewing history analysis server according to the embodiment for causing an operator to designate one or more regions;

3 is a schematic diagram showing an example of a screen provided by the viewing history analysis server according to the embodiment and when X place is selected;

4 is a schematic diagram for explaining an example of a method of inputting a designated area to the viewing history analysis server of the embodiment;

5 is a schematic diagram for explaining another example of a method of inputting a designated area to the viewing history analysis server of the embodiment;

6 is a schematic diagram showing an example of a screen after various inputs including designation of a region are made to the viewing history analysis server of the embodiment;

7 is a schematic diagram showing another example of a screen after performing various inputs including designation of a region to the viewing history analysis server of the embodiment;

8 is a schematic diagram showing an example of the hardware configuration of the viewing history analysis server according to the embodiment;

9 is a schematic diagram showing an example of the functional configuration of the viewing history analysis server according to the embodiment;

FIG. 10 is a flowchart showing an example of the operation of the viewing history analysis server according to the embodiment.

Description of reference numerals

1...viewing history analysis server, 2...television device, 3...information acquisition server, 4...device information DB, 5...viewing information DB, 6...map information DB, 7...smartphone, 8...personal computer, 10...processor , 11...I/O device, 12...RAM, 13...storage device, 14...bus, 15...viewing history analysis program, 16...input unit, 17...statistic calculation unit, 18...providing unit, 100...screen, 110... Extraction condition setting part, 120...sort method setting part, 130...display range setting part, 140...designated area setting part, 141...button, 142...menu, 150...sample size reference setting part, 151...drag Motion bar, 160...place selection setting section, 200...map display area, 210...selected object, 220...area, 300...rank display area, 301 to 306...fields, 400...cursor.

Detailed ways

Hereinafter, the viewing history analyzing device and the viewing history analyzing device program according to the embodiment will be described in detail with reference to the accompanying drawings. In addition, this application is not limited by these embodiment.

Implementation

FIG. 1 is a schematic diagram showing an example of the configuration of a system using the viewing history analysis apparatus according to the embodiment.

According to the example shown in FIG. 1 , the viewing history analysis apparatus of the embodiment is installed as the viewing history analysis server 1 . The equipment information of the plurality of television apparatuses 2 and the viewing information of the plurality of television apparatuses 2 are acquired by the information acquisition server 3 which is a server apparatus. The viewing history analysis server 1 can analyze the viewing history of the plurality of television apparatuses 2 based on the device information and viewing information acquired by the information acquisition server 3 .

Each of the plurality of television apparatuses 2 corresponds to a receiving apparatus capable of receiving a broadcast program using a broadcast signal. In addition, the receiving apparatus is not limited to a television apparatus. The receiving device may also be a set-top box or a video recorder having a function of receiving broadcast programs.

A device ID is given to each television apparatus 2 in advance. In addition, position information, user information, and the like are input to each television apparatus 2 by the user. The location information is information indicating the location where the television apparatus 2 is installed. The location information may be, for example, a zip code, an address, or latitude information, longitude information, and the like. The user information is information indicating attributes (eg, age, gender, family structure, etc.) of the user of the television apparatus 2 .

Each television apparatus 2 can transmit the device ID, location information, and user information to the information acquisition server 3 as device information. In addition, the transmission time of the device information is not limited to a specific time. Device information can be sent only once at initial startup, every startup, or periodically. In addition, it can also be sent when the device information is edited.

The viewing information is a viewing program, a channel (CH), a viewing time, and the like. The viewing information includes a device ID, and is configured to be able to identify which broadcast program of which channel is viewed at what time and when the television apparatus 2 identified by the device ID is viewing it. Each television apparatus 2 can transmit viewing information to the information acquisition server 3 . The transmission time of the viewing information is not limited to a specific time. The viewing information may be transmitted periodically, or may be transmitted at any time, such as at the time of activation or when the channel is changed.

The information acquisition server 3 registers the received device information in the device information database (DB) 4 . In addition, the information acquisition server 3 registers the received viewing information in the viewing information database (DB) 5 .

The viewing history analysis server 1 can acquire an input specifying a plurality of first regions from a predetermined device. If the viewing history analysis server 1 obtains the above-mentioned input, it calculates the statistical information of the relevant viewing amounts in the specified plurality of first regions in units of broadcast programs, and ranks the calculated statistical information for the units of broadcast programs ( ranking) is provided to a predetermined device in a browsable manner. The viewing history analysis server 1 can acquire device information and viewing information from the device information DB 4 and the viewing information DB 5 , and can use the acquired device information and viewing information for calculation of statistical information about the viewing amount.

The predetermined device is an information terminal or a display device connected to the viewing history analysis server 1 via wire or wireless. In FIG. 1 , a smartphone 7 and a personal computer 8 are exemplified as predetermined devices.

Region 1 is smaller than Region 2. The second area is an area targeted for calculation of the average audience rating. For example, the first area is a municipality, and the second area is a prefecture. Examples of the first area and the second area are not limited to this. Hereinafter, the first region is simply referred to as a region. In addition, the 2nd area is described as a place. The average audience rating will be described later.

In addition, the viewing history analysis server 1 can access a map information database (DB) 6 . The map information DB 6 is a database in which map data of the entire region is collected. The viewing history analysis server 1 can acquire map data from the map information DB 6 and can display the acquired map data on a predetermined device.

In addition, the viewing history analysis server 1 may be configured to include a part or all of the information acquisition server 3 , the device information DB 4 , the viewing information DB 5 , and the map information DB 6 .

A method for providing ranking of statistical information of broadcast program units will be described with reference to FIGS. 2 to 7 . In the examples shown in Figs. 2 to 7, the viewing history analysis server 1 provides rankings of statistical information of broadcast program units via a browser.

In the following description, unless otherwise specified, the provision of various information including the ranking of the statistical information of the broadcast program, a certain screen, etc. means that the viewing history analysis server 1 is installed in a predetermined device (here, the Various kinds of information, some kind of screen, etc. are displayed on the display device of the smartphone 7 or the personal computer 8). In addition, a person who receives provision of various kinds of information, a certain screen, etc. from the viewing history analysis server 1 via a display device of a predetermined device is described as an operator.

The viewing history analysis server 1 first provides a screen for the operator to designate one or more regions. FIG. 2 is a schematic diagram showing an example of a screen provided by the viewing history analysis server 1 according to the embodiment for causing the operator to designate one or more regions.

In the example of FIG. 2 , the screen 100 includes a map display area 200 that displays a map, and a ranking display area 300 that displays a ranking of statistical information of broadcast program units. In addition, the screen 100 includes a refinement condition setting unit 110 , a sorting method setting unit 120 , a display range setting unit 130 , a designated area setting unit 140 , a sample size reference setting unit 150 , and a place selection setting unit 160 .

The extraction condition setting unit 110 is an area composed of one or more GUI (Graphical User Interface) components that receive input for setting extraction conditions used when generating statistical information. Here, as an example, the refinement condition setting unit 110 is configured so as to receive input from the operator for setting the collection period, broadcast station, demographic (in other words, people count) and viewing method as refinement conditions. The collection period is the period in which the broadcast program is broadcast. The viewing history analysis server 1 collects statistical information on broadcast programs broadcast during a set collection period. In this example, the setting of the weekly unit and the setting of the daily unit can be performed. A broadcast station is a broadcast station of a broadcast program that is a collection target of statistical information. In this example, the setting of the broadcasting station can be performed by the combination of the channel (CH) and the subdivision number. Demographics are information indicating attributes related to users of the television apparatus 2 . In this example, a plurality of attributes including personal use of TV, home use of TV, and the like can be selected. The viewing method is the viewing method of the broadcast program. In this example, the viewing method can be selected from live broadcast (more precisely, live viewing) and video recording (more precisely, recorded viewing).

In addition, the number and type of extraction conditions that can be set by the extraction condition setting unit 110 are not limited to the above-mentioned examples. In addition, the setting of several refinement conditions may be arbitrary.

The sorting method setting unit 120 is a GUI component that receives an input for setting the type of statistical information on the viewing amount. In the embodiment, the viewing history analysis server 1 is configured to be able to select the viewing rate and the deviation from the average viewing rate as statistical information about the viewing amount. The audience rating is a ratio of the number of users who viewed a certain broadcast program to the number of users of the television apparatus 2 , and is a scale indicating the magnitude of the viewing amount. The deviation from the average audience rating is the deviation of the audience rating in an area including one or more designated areas from the average audience rating in the area including the area. In addition, the place to be the target of the calculation of the average audience rating may not include one or all of the designated one or more regions. Deviations are, for example, differences. Furthermore, the deviation is not limited to the difference. The type of statistical information on the viewing amount that the ranking method setting unit 120 can receive as input is not limited to this.

The display range setting unit 130 is a GUI component that can receive an input for setting the range of the ranking displayed in the ranking display area 300 .

The designated area setting unit 140 is a GUI component that can receive an input to designate an area. That is, the operator can input the designated area via the map display area 200 and a desired GUI component of the designated area setting unit 140 . The input method of the designated area will be described later.

The sample size reference setting unit 150 is a GUI component that can receive an input for setting the sample size, that is, a reference for the number of television apparatuses 2 installed in each region. In general, sample size correlates with the reliability of the calculated statistics. The larger the sample size, the more reliable the calculated statistics. When the operator inputs numerical information via the sample size reference setting unit 150, the viewing history analysis server 1 sets the numerical information as a threshold value so that an area whose sample size does not satisfy the threshold value cannot be specified. Accordingly, it is possible to prevent a situation in which rankings are generated based on statistical information whose reliability does not reach the operator's desired level.

The place selection setting unit 160 is a GUI component that can receive an input for selecting a place.

For example, when the operator performs an input to select the place X to the place selection setting unit 160, the screen 100 transitions to the state shown in FIG. 3 . FIG. 3 is a schematic diagram showing an example of the screen 100 provided by the viewing history analysis server 1 according to the embodiment when the X place is selected. When the X place is selected, the viewing history analysis server 1 displays the map including the X place on the map display area 200. For example, the viewing history analysis server 1 acquires the map data of the X place from the map information DB 6 and displays the acquired map data in the map display area 200 . According to the example of this figure, the area|region 220 enclosed by the thick line represents the X place. It is read from this figure that the X area is composed of a area, b area, c area, d area, e area, f area, g area, and h area. The boundaries between regions are indicated by dashed lines. In addition, the boundary between regions may not necessarily be displayed.

In addition, the viewing history analysis server 1 displays the selection of the area unit in the areas of the map display area 200 where the area a, area b, area c, area d, area e, area f, area g, and area h are displayed, respectively. Object 210. The area in which the selection object 210 is displayed is set in a designable state.

The viewing history analysis server 1 collects sample sizes, ie, the number of installed television devices 2, for regions a, b, c, d, e, f, g, and h, respectively. Then, the viewing history analysis server 1 displays on the sample size reference setting unit 150 the minimum value and the maximum value among the obtained set numbers of these eight regions. In the example of FIG. 3, the minimum value is "111" and the maximum value is "11425". By operating the drag bar 151 included in the sample size reference setting unit 150, the operator can input an arbitrary value between "111" and "11425" as a reference for the sample size. The viewing history analysis server 1 is set so as not to be able to specify a region where the sample size does not satisfy the reference when the reference for the sample size is input. In one example, the selection object 210 is set so as not to display a region whose sample size does not satisfy the reference. In addition, the processing of the area|region where the sample size does not satisfy a reference|standard is not limited to this. For example, the viewing history analysis server 1 may be set not only to not display the selection object 210 but also not to display the area name. In addition, the collection result may be a result obtained by collecting the installed number of television apparatuses 2 satisfying the extraction conditions, or may be a result obtained by collecting the installed number of television apparatuses 2 irrespective of the extraction conditions.

FIG. 4 is a schematic diagram for explaining an example of a method of inputting a designated area to the viewing history analysis server 1 of the embodiment. The operator can input the designated area by aligning the cursor 400 with the selection object 210 displayed in the map display area 200 and clicking. In addition, in the example of this figure, it is assumed that the screen 100 is displayed on the display device of the personal computer 8 . That is, the operator can move the cursor 400 by operating the pointing device attached to the personal computer 8 . In addition, when the screen 100 is displayed on the smartphone 7, the operator can input the designated area by touching the selection object 210. According to this figure, out of the eight regions constituting the X place, the b region, the c region, and the f region are designated. The colors of the selection objects 210 in the b region, the c region, and the f region are colored and displayed in a different color from the color of the selection objects 210 in the a region, the d region, the e region, the g region, and the h region. This means that The b area, the c area, and the f area are designated states. In addition, a character string indicating that two or more areas including the b area are designated "outside the b area" is displayed on the designated area setting unit 140 .

In addition, the method of explicitly indicating the area in the designated state is not limited to the method of coloring and displaying the selection object 210 in a color different from the color of the area in the undesignated state. In addition, the viewing history analysis server 1 may be configured such that, as a method of specifying a plurality of selection objects 210, not only a method of clicking or touching each selection object 210, but also a method of specifying a plurality of selection objects 210 at a time by dragging or the like can be performed. Method for selecting object 210 . For example, the viewing history analysis server 1 displays a graphic of a predetermined shape (for example, a circle) by clicking or touching. The graph is enlarged or reduced by dragging after a click or touch. In addition, it may be possible to draw the boundary of the graphics by dragging. When the operator finishes dragging, the viewing history analysis server 1 considers that one or more regions surrounded by the selection object 210 using graphics have been designated. Thereby, it is possible to designate a plurality of areas that are close to each other with a simple operation.

FIG. 5 is a schematic diagram for explaining another example of a method of inputting a designated area to the viewing history analysis server 1 of the embodiment. When the operator clicks or touches the button 141 provided in the designated area setting unit 140, the viewing history analysis server 1 displays a menu 142 showing a list of designated areas. In the example of this figure, the names of eight regions included in the X place are listed in the menu 142, and a check box is provided to the left of the name of each region. The operator clicks or touches the check box to input the designated area. The checkboxes for the b area, the checkboxes for the c area, and the checkboxes for the f area are checked (in this example, x marks). This means that the b region, the c region, and the f region are designated states. When the operator clicks or touches a blank area or the like in the screen 100 , the viewing history analysis server 1 ends the display of the menu 142 . In addition, the operation for ending the display of the menu 142 is not limited to this.

In addition, the method of input of a designated area is not limited to these. For example, the viewing history analysis server 1 displays display objects representing facilities (eg, prefectural offices, city halls, etc.), roads (eg, national highways, prefectural roads, etc.), railways, and the like in the map display area 200 . Facilities, roads, railways, and the like indicated by these display objects correspond to one or more regions. The correspondence between facilities, roads, railways, etc. and one or more regions is recorded in an arbitrary database (eg, map information DB6 ), and the viewing history analysis server 1 can acquire the correspondence at any time. If a certain display object displayed in the map display area 200 is clicked or touched by the operator, the viewing history analysis server 1 determines the display object represented by the clicked or touched display object based on the above-mentioned correspondence recorded in the database. One or more areas corresponding to facilities, roads, railways, etc. are established. Then, the viewing history analysis server 1 regards the specified one or more regions as the specified one or more regions.

Alternatively, the viewing history analysis server 1 may be configured to display an input box similar to that of the designated area setting unit 140 near the designated area setting unit 140 or the like, and to receive information on facilities, roads, railways, etc. via the input box. Make the selected input. That is, for example, the same button as the button 141 is provided in the input box. Then, when the operator presses this button by clicking or touching, a menu showing a list of facilities, roads, railways, and the like is displayed in the same form as the menu 142 . The operator can select a desired facility, road, or railroad by clicking or touching from the list of facilities, roads, railroads, and the like displayed in this menu. If a facility, road, or railway is selected via this menu, the viewing history analysis server 1 identifies one or more areas corresponding to the selected facility, road, railway, etc., based on the above-mentioned correspondence recorded in the database. . Then, the viewing history analysis server 1 regards the specified one or more regions as the specified one or more regions.

In this way, the viewing history analysis server 1 may be configured to be able to specify one or more regions based on arbitrary information associated with regions.

The operator can perform input for setting various refining conditions, sorting methods, and ranking ranges in addition to designation of regions. FIG. 6 is a schematic diagram showing an example of a screen 100 after various inputs including designation of a region are made to the viewing history analysis server 1 according to the embodiment.

In the example of FIG. 6, it is the week of Y1/M1/D1, and the period from Y1/M1/D1 to Y2/M2/D2 is set as the collection period. In addition, a radio station with the name XTV is set. In addition, as a demographic, personal use of TV is set. In addition, as a viewing method, a live broadcast is set. In addition, the ranking range is set so that the rankings from the first to the tenth are displayed in the ranking display area 300 . In addition, the audience rating is set as the type of statistical information on the viewing amount.

The viewing history analysis server 1 calculates statistical information based on the above-described various settings, generates rankings, and displays the generated rankings in the ranking display area 300 . More specifically, the viewing history analysis server 1 analyzes the viewing history based on the viewing information acquired from the television apparatuses 2 installed in one or more designated areas (in this example, the b area, the c area, and the f area). Statistical information in an area in which one or more designated areas are combined is calculated for each broadcast program. Then, the viewing history analysis server 1 generates a ranking based on the numerical value of the statistical information for the broadcast program, and displays the generated ranking in the ranking display area 300 .

The viewing history analysis server 1 executes the generation of ranking based on the statistical information of the set type. For example, when audience ratings are set as the type of statistical information, the viewing history analysis server 1 calculates the audience ratings as statistical information, and ranks the broadcast programs in order from the higher audience ratings. When a deviation from the average audience rating is input as the type of statistical information, the viewing history analysis server 1 calculates the deviation from the average audience rating as statistical information, and for a broadcast program, the deviation from the average audience rating is larger. Arranged in order. In addition, the viewing history analysis server 1 may be configured so that the operator can specify that the broadcast programs are arranged in order from the numerical value of the statistical information, or the broadcast programs are arranged in order from the numerical value of the statistical information.

The average audience rating is the average of the audience ratings in a place (here, X place) that is an area larger than a region.

In addition, the viewing history analysis server 1 performs calculation of statistical information in accordance with the input extraction conditions. For example, the viewing history analysis server 1 calculates the statistical information in the input collection period. In addition, when a broadcast station is input, the viewing history analysis server 1 calculates statistical information for each broadcast program broadcast by the input broadcast station. When the demographics are input, the viewing history analysis server 1 based on the information related to the television apparatuses 2 installed in the area that combines the designated one or more areas and satisfies the conditions regarding the demographics Watch the information to calculate the statistical information. In addition, when the viewing method is input, the viewing history analysis server 1 calculates the statistical information under the conditions limited by the set viewing method.

In the example of FIG. 6 , the ranking includes: a field 301 for recording the rank; a field 302 for recording the name of a broadcast program; a field 303 for recording the broadcast date and time; a field 304 for recording the name of a broadcasting station; and a field 305 for recording the audience rating ; and a field 306 that records the deviation from the average ratings. In addition, the structure of the ranking displayed in the ranking display area 300 is not limited to this. For example, when audience ratings are set as the type of statistical information, field 306 may be omitted. In addition, when the deviation from the average audience rating is set as the type of statistical information, the field 305 may be omitted.

In addition, the display range of the ranking is the range set via the display range setting unit 130 . Here, as an example, the display range is set from the first to the tenth. Therefore, in the ranking display area 300, 10 broadcast programs ranging from the broadcast program "variety program AAA" with the highest audience rating to the broadcast program "Music program M" with the tenth audience rating, starting from the one with the highest audience rating, are displayed. Ranked in order.

In this way, the viewing history analysis server 1 can provide the ranking of broadcast programs according to the viewing rate in the designated area in a browsable manner. The viewing history analysis server 1 can respond to the desire of a local company or the like to know a broadcast program that is popular in a desired area, and thus is highly convenient.

In addition, when a plurality of regions are designated, the viewing history analysis server 1 does not calculate the audience ratings for each region, but calculates the audience ratings in an area that combines the designated regions. For example, in the case of a company that has developed stores across a plurality of regions, it is possible to easily know the broadcast programs that are popular in the region where the plurality of regions where the stores are installed are combined. Also in this point, the convenience of viewing the history analysis server 1 is high.

FIG. 7 is a schematic diagram showing another example of the screen 100 after various inputs including designation of a region are made to the viewing history analysis server 1 according to the embodiment. The screen 100 shown in FIG. 7 is different from the screen 100 shown in FIG. 6 in that, in the designation of the region, various refinement conditions, the sorting method, and the setting of the ranking range, as the sorting method, A deviation from the average audience rating is set.

In the example shown in FIG. 7 , the broadcast program “Soccer Match S” with the highest deviation from the average audience rating to the broadcast program “Variety Show” with the tenth highest deviation from the average audience rating is displayed in the ranking display area 300 . The 10 broadcast programs up to "Program AAA" are ranked in order from the highest deviation from the average audience rating.

In this way, the viewing history analysis server 1 can provide the ranking of broadcast programs based on the deviation from the average viewing rate in a browsable manner. Therefore, it is possible to easily know broadcast programs that are prominently popular in a desired area compared to other areas. Businesses can use rankings of broadcast programs based on deviations from average ratings to select broadcast programs to place advertisements on. Therefore, the convenience of viewing the history analysis server 1 is high.

In addition, when a plurality of areas are designated, the viewing history analysis server 1 does not calculate the deviation from the average audience rating for each area, but calculates the distance average of the audience ratings in the area that combines the designated areas. Deviation of ratings. For example, in the case of a company that has developed stores across a plurality of regions, it is possible to easily know a broadcast program that is prominently popular in a region where a plurality of regions where stores are installed are combined. In this regard, the convenience of viewing the history analysis server 1 is also high.

Next, the configuration of the viewing history analysis server 1 will be described.

FIG. 8 is a schematic diagram showing an example of the hardware configuration of the viewing history analysis server 1 according to the embodiment.

The viewing history analysis server 1 includes a processor 10 , an I/O device 11 , a RAM (Random Access Memory) 12 , and a storage device 13 . The processor 10 , the I/O device 11 , the RAM 12 , and the storage device 13 are electrically connected to the bus 14 .

The processor 10 is, for example, a CPU (Central Processing Unit: central processing unit). The processor 10 is capable of executing computer programs.

The I/O device 11 is an interface device for performing data communication with external devices such as the device information DB 4 , the viewing information DB 5 , the map information DB 6 , the smartphone 7 , and the personal computer 8 .

The RAM 12 is the main storage device and provides the processor 10 with an area for buffering or caching temporary data.

The storage device 13 is an auxiliary storage device and has a storage area having a larger capacity than that of the main storage device such as the RAM 12 . The storage device 13 is a nonvolatile storage device that can store computer programs, data, and the like without loss. The storage device 13 may be constituted by, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a combination thereof. In addition, the memory devices constituting the storage device 13 are not limited to these.

According to the embodiment, the viewing history analysis program 15 as a computer program is stored in advance in the storage device 13 . The processor 10 loads the viewing history analysis program 15 into the RAM 12 from the storage device 13, for example. Then. The processor 10 can realize various functions as the viewing history analysis server 1 by executing the viewing history analysis program 15 loaded into the RAM 12 .

FIG. 9 is a schematic diagram showing an example of the functional configuration of the viewing history analysis server 1 according to the embodiment. As shown in this figure, the viewing history analysis server 1 includes an input unit 16 , a statistical calculation unit 17 , and a provision unit 18 . For example, when the viewing history analysis program 15 is executed by the processor 10 , the functions as the input unit 16 , the statistical calculation unit 17 , and the providing unit 18 are realized.

The input unit 16 receives input of information via the screen 100 . In particular, the input unit 16 receives an input to designate an area via the map display area 200 or the designated area setting unit 140 . The designated area may be one or more than one.

The statistic calculation unit 17 calculates, on a broadcast program basis, the position information of the plurality of television apparatuses 2 accumulated as equipment information in the equipment information DB 4 and the viewing information of the plurality of television apparatuses 2 accumulated in the viewing information DB 5 . Statistical information about the viewing volume in an area where more than one area is combined. The statistical information about the viewing amount may be the viewing rate, the deviation from the average viewing rate, or other statistical information. In the examples shown in FIGS. 2 to 8 , the statistical information on the viewing amount is the viewing rate or the deviation from the average viewing rate.

The providing unit 18 provides the screen 100 including the GUI components described above. In particular, the providing unit 18 provides the ranking of the statistical information of the broadcast program unit calculated by the statistical calculating unit 17 .

In addition, the method of providing the ranking is not limited to the method of displaying the ranking on the display device of a predetermined device such as the smartphone 7 and the personal computer 8 via a browser.

For example, the providing unit 18 may transmit the ranking by means of e-mail or the like. Alternatively, the providing unit 18 may provide the ranking by storing the ranking in a storage medium. The storage medium may be, for example, CD (Compact Disc: compact disc)-ROM (Read Only Memory: read-only memory), floppy disk (FD: Flexible Disc), CD-R (Recordable: recordable optical disc), DVD (Digital Versatile Disk: Digital Universal Disc), USB (Universal Serial Bus: Universal Serial Bus) memory, SD (Secure Digital: Secure Digital) card, etc. Alternatively, the providing unit 18 may provide rankings to predetermined devices via another server. Alternatively, a display device may be connected to the viewing history analysis server 1, and the providing unit 18 may display the output ranking on the display device. Alternatively, the providing unit 18 may display the ranking via a predetermined application installed in a predetermined device such as the smartphone 7 or the personal computer 8 by the operator.

Next, the operation of the viewing history analysis server 1 will be described.

FIG. 10 is a flowchart showing an example of the operation of the viewing history analysis server 1 according to the embodiment.

First, the input unit 16 obtains an input of a selected place (S101). More specifically, the providing unit 18 displays, for example, the screen 100 shown in FIG. 2 on a display device of a predetermined device. When the operator performs an input to select a place via the place selection setting unit 160 , the input unit 16 acquires the input.

Next, the providing unit 18 displays the map including the designated place on the map display area 200 (S102). The providing unit 18 can access the map information DB 6 at any time to acquire necessary map data.

Next, the input unit 16 obtains an input specifying one or more regions ( S103 ). When the operator performs an input to designate one or more areas via the map display area 200 or the designated area setting unit 140 , the input unit 16 acquires the input. The method of inputting one or more regions via the map display area 200 is, for example, the same as the method described with reference to FIG. 4 . The method of inputting one or more regions via the designated region setting unit 140 is, for example, the same as the method described with reference to FIG. 5 . In addition, the input part 16 may acquire the input which designates one or more area|regions by other means.

Next, the input unit 16 acquires the input for setting the refining conditions and the input for setting the range of the ranking ( S104 ). When the operator performs an input to set the extraction condition via the extraction condition setting unit 110 , the input unit 16 acquires the input. For example, according to the example of FIG. 2, the extraction conditions include collection period, broadcasting station, demographics, and viewing method. In addition, the refining conditions are not limited to these. When the operator performs an input to set the range of the ranking via the display range setting unit 130 , the input unit 16 acquires the input.

Next, the input unit 16 obtains an input for setting the type of statistical information on the viewing amount ( S105 ). When the operator performs an input to set the type of statistical information on the viewing amount via the ranking method setting unit 120 , the input unit 16 acquires the input.

Next, the statistics calculation unit 17 calculates the average audience rating for each broadcast program (S106). For example, the statistics calculation unit 17 calculates the audience rating in the place designated by S101 as the average audience rating. In addition, the statistical calculation section 17 executes the calculation of the average audience rating under the refined conditions.

Next, the statistics calculation unit 17 calculates, for each broadcast program, the audience rating in the area in which the designated one or more areas are combined ( S107 ). Furthermore, the statistics calculation section 17 executes the audience rating in the area under the refined condition.

Next, the statistics calculation unit 17 calculates, for each broadcast program, the deviation from the average audience rating of the audience ratings of the region in which the designated one or more regions are combined ( S108 ). For example, the statistics calculation unit 17 obtains the deviation from the average audience rating by subtracting the average audience rating from the audience rating of each broadcast program. In addition, the calculation method of the deviation from the average audience rating is not limited to this.

Next, the statistics calculation unit 17 determines whether or not an audience rating is set as the type of statistical information on the viewing amount ( S109 ).

When the audience rating is set as the type of statistical information on the viewing amount ( S109 : YES), the statistics calculation unit 17 generates a ranking in which the broadcast programs are arranged in order of the highest audience rating ( S110 ). When a ranking range is set, the statistics calculation unit 17 generates a ranking within the set range.

After S110, the providing unit 18 displays the ranking generated by the statistics calculating unit 17 in the ranking display area 300 (S111). Then, the operation of the viewing history analysis server 1 of the embodiment ends.

When the audience rating is not set as the type of the statistical information about the viewing amount (S109: NO), that is, when the deviation from the average audience rating is set as the type of the statistical information about the viewing amount, The statistics calculation unit 17 generates a ranking in which the broadcast programs are arranged in order of the highest deviation from the average audience rating ( S112 ). When a ranking range is input, the statistics calculation unit 17 generates a ranking of the input range. Then, control transfers to S111.

In addition, the series of operations described in FIG. 10 is an example. For example, the order of the processes of S103 to S105 may be different depending on the order of the operator's operations. In addition, the viewing history analysis server 1 may execute the processing of S106 to S111 at the time when the minimum necessary input is completed, and then execute the processing every time the refinement conditions, the change of the designated area, etc. are performed by the operation of the operator. Processes from S106 to S111. In addition, the minimum required input is, for example, designation of one or more regions.

In the above description, the viewing history analysis server 1 is configured to be able to select one of the viewing rate and the deviation from the average viewing rate as the type of statistical information on the viewing amount. The viewing history analysis server 1 may not necessarily be able to select the type of statistical information on the viewing amount. For example, the viewing history analysis server 1 may be configured to generate rankings based only on audience ratings, may be configured to generate rankings only based on deviations from average audience ratings, or may be configured to generate rankings based on statistical information other than these. bit.

In addition, the viewing history analysis server 1 is configured to be able to specify one or more regions from a plurality of regions included in the selected place. The range of regions that can be specified is not limited to a plurality of regions included in the selected place. The viewing history analysis server 1 may be configured to be able to specify one or more regions from an arbitrary range.

In addition, the viewing history analysis server 1 calculates the viewing rate in the selected place as the average viewing rate. The calculation range of the average audience rating is not limited to this. For example, the viewing history analysis server 1 may calculate the average of the national audience ratings as the average audience ratings. Alternatively, the viewing history analysis server 1 may calculate the average of the audience ratings in an arbitrary area including a part or all of the selected one or more areas as the average audience rate. Alternatively, the viewing history analysis server 1 may calculate the average of the audience ratings in places different from the places including the selected one or more regions as the average audience ratings. That is, the viewing history analysis server 1 can calculate the viewing rate in an arbitrary area larger than the area as the average viewing rate.

According to the above-described embodiment, the viewing history analysis server 1 as the viewing history analysis device includes the input unit 16 , the statistical calculation unit 17 , and the providing unit 18 . The input unit 16 receives an input designating a plurality of regions (in other words, the first region). The statistic calculation unit 17 calculates, in units of broadcast programs, statistic information on the viewing amount in an area combining a plurality of designated areas, based on the installation positions of the plurality of television apparatuses 2 and the viewing information of the plurality of television apparatuses 2 . The providing unit 18 provides the calculated ranking of the statistical information of the broadcast program unit.

Therefore, the viewing history analysis server 1 can respond to a desire to know a local company or the like which is a popular broadcast program in an area where two or more desired areas are combined, and therefore, the convenience is high.

In addition, in one example, the calculated statistical information of the broadcast program unit is the audience rating.

Therefore, it is possible to easily know that there are popular broadcast programs in an area where two or more desired areas are combined.

In addition, in one example, the calculated statistical information of the broadcast program unit is an area (in other words, the second area) that indicates that the audience rating distance in the area in which the designated two or more areas are combined is larger than the area (in other words, the second area). Numerical information about the deviation of the ratings.

Therefore, it is possible to easily know a broadcast program that is prominently popular in an area in which two or more desired areas are combined based on the audience ratings in an area larger than the area.

Further, according to the above-described embodiment, the viewing history analysis server 1 as the viewing history analysis device includes the processor 10 , and the RAM 12 and the storage device 13 as the memory. That is, the viewing history analysis server 1 has a configuration of a general computer capable of executing a computer program. Then, when the processor 10 executes the viewing history analysis program 15 as a computer program, the processor 10 realizes the functions as the input unit 16 , the statistical calculation unit 17 , and the providing unit 18 .

That is, the viewing history analysis program 15 described above causes a computer to function as, for example, an input unit 16 that receives an input specifying a plurality of first regions, a statistical calculation unit 17 and a provision unit 18, and the statistical calculation unit 17 is based on a plurality of The installation position of each of the television apparatuses 2 and the viewing information of each of the plurality of television apparatuses 2, and the provision unit 18 calculates the statistical information on the viewing amount in the area in which the designated plurality of first areas are combined in units of broadcast programs, and provides the providing unit 18 Calculated ranking of broadcast program unit statistics.

The viewing history analysis program 15 described above can be recorded in a computer-readable storage medium such as a CD-ROM, a floppy disk, a CD-R, a DVD, a USB memory, an SD card, etc., as a file in an installable form or an executable form, and can be provided. . In addition, the viewing history analysis program 15 described above is supplied in a state stored in the storage device 13 .

Alternatively, the viewing history analysis program 15 may be stored in a computer connected to a network such as the Internet, and downloaded and provided via the network. Alternatively, the viewing history analysis program 15 may be provided or distributed via a network such as the Internet.

In addition, some or all of the functions of the input unit 16 , the statistical calculation unit 17 , and the providing unit 18 may be implemented by an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit) and so on.

Several embodiments of the present application have been described, however, these embodiments are shown as examples and are not intended to limit the scope of the application. These new embodiments can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the application. These embodiments and modifications thereof are included in the scope and gist of the application, and are included in the technical solutions described in the claims and their equivalents.

Claims

A viewing history analysis device, comprising:

an input portion that receives input specifying a plurality of first regions;

A statistical calculation unit that calculates, in units of broadcast programs, based on the installation positions of each of the plurality of reception apparatuses and the viewing information of each of the plurality of reception apparatuses, about viewing in an area in which a plurality of the designated first areas are combined volume statistics; and

A providing unit that provides the calculated ranking of the statistical information of the broadcast program unit.
The viewing history analysis device according to claim 1, wherein:

The calculated statistical information of the broadcast program unit is the audience rating.
The viewing history analysis device according to claim 1, wherein:

The calculated statistical information of the broadcast program unit is numerical information indicating the deviation of the audience rating in the area from the audience rating in the second area,

The second region is larger than a first region.
A computer-readable non-volatile storage medium, wherein the non-volatile storage medium stores a viewing history analysis program or computer instructions, and the viewing history analysis program or computer instructions The calculation department and the provisioning department function,

The input unit receives input specifying a plurality of first regions,

The statistical calculation unit calculates, on the basis of the installation positions of the plurality of reception apparatuses and the viewing information of each of the plurality of reception apparatuses, in units of broadcast programs, about viewing in an area in which a plurality of the designated first areas are combined. volume statistics,

The providing unit provides the calculated ranking of the statistical information of the broadcast program unit.