JP2020061180A - Show recommendation device, method for recommending show, and show recommendation program - Google Patents

Abstract

To provide a show that is highly likely to be seen.SOLUTION: The present invention includes: a viewing rate specification unit 142 for specifying the viewing rate of a user for a show according to the viewing history of the user for the show on a day-by-day basis, on a time zone-by-time zone basis, and on a genre-by-genre basis; a genre specification unit 143 for specifying the genre of a recommendation target according to the viewing rate on a day-by-day basis, on a time zone-by-time zone basis; and a recommendation unit 144 for specifying a predetermined keyword of the keywords for the shows of the genre specified by the genre specification unit 143 as the keyword for a show which it is not highly likely that a user will watch when zapping of the show of the specific keyword is more frequent than a predetermined threshold level, excluding the show for the predetermined keyword from the shows of the genre specified for the day and the time zone to which the current time belongs, and recommending a show which is not excluded.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a program recommendation device, a program recommendation method, and a program recommendation program.

  BACKGROUND ART Conventionally, among various contents such as television programs, contents that are likely to be viewed by the user are presented to the user. For example, in Patent Document 1, the viewing frequency of a program viewed by a user is accumulated for each keyword corresponding to the program, and the user preference degree for each program is calculated based on the viewing frequency accumulated for each keyword. However, a method of presenting a program based on the degree of preference is disclosed.

JP, 2007-318364, A

  By the way, when watching a television program at the user's house, the user watches the television program together with a family member or only the family member watches the television program. When the user and the family have different tastes, the method described in Patent Document 1 also increases the preference degree corresponding to the program that the user has not watched, and the program that the user is likely to watch. There was a problem that could not be properly presented.

  Therefore, the present invention has been made in view of these points, and an object thereof is to provide a program recommending apparatus, a program recommending method, and a program recommending program capable of presenting a program that is likely to be viewed. .

  A program recommendation device according to a first aspect of the present invention is a viewing degree specifying unit that specifies a viewing degree of a user's program for each day of the week, a time zone, and a genre to which the program belongs, based on a viewing history of the user's program. Based on the degree of viewing, a genre specifying unit that specifies a genre of a recommendation target for each day of the week and a time period, and a program corresponding to a predetermined keyword among keywords corresponding to programs of the genre specified by the genre specifying unit If the frequency of zapping is higher than a predetermined threshold value, the predetermined keyword is specified as a keyword corresponding to a program that is unlikely to be viewed by the user, and is specified for the day of the week and the time zone to which the current time belongs. A recommendation unit that excludes programs corresponding to the predetermined keyword from programs corresponding to genres and recommends programs that have not been excluded. .

  The viewing degree specifying unit may adjust the viewing degree of the genre to which the program belongs, based on the type of broadcast corresponding to the program.

The recommendation unit may exclude, from the programs recommending a rebroadcast program of a program viewed by the user within a predetermined period from the current time, based on the viewing history.
The recommending unit gives more weighting values to programs corresponding to the specified genre as the time from the current time to broadcasting is shorter, and selects programs to be recommended in descending order of weighting value. Good.

  The viewing degree specifying unit stores the viewing degree information indicating the viewing degree and the date when the viewing degree is calculated in association with each other in the storage unit, and the program recommending device stores the viewing degree stored in the storage unit. The degree information may further include an erasing unit for erasing from the storage unit the degree-of-view information whose associated date is a predetermined time before the current time.

  The viewing degree specifying unit may store the viewing degree information in a device with which the program recommendation device can communicate.

  If the recommended program is not viewed, the recommendation unit may exclude the program from the recommended programs.

  A program recommendation method according to a second aspect of the present invention, which is executed by a computer, determines a user's viewing degree of a program for each day of the week, time zone, and genre to which the program belongs, based on a viewing history of the user's program. Identifying step, based on the viewing degree, identifying the genre of the recommendation target for each day of the week and time period, zapping the program corresponding to the predetermined keyword among the keywords corresponding to the program of the identified genre If the frequency is higher than a predetermined threshold, the step of specifying the predetermined keyword as a keyword corresponding to a program less likely to be viewed by the user, and the genre specified for the day of the week and the time zone to which the current time belongs Steps that exclude programs corresponding to the predetermined keyword from programs corresponding to, and recommend programs not excluded And, equipped with a.

  A program recommendation program according to a third aspect of the present invention is a viewing method that identifies a viewing degree of a program of a user for each day of the week, a time period, and a genre to which the program belongs, based on a viewing history of the program of the user. Degree specifying unit, corresponding to a predetermined keyword among keywords corresponding to programs of the genre specified by the genre specifying unit, and a genre specifying unit specifying a genre of a recommendation target for each day of the week and a time period based on the viewing degree When the frequency of zapping the program to be performed is higher than a predetermined threshold value, the predetermined keyword is specified as a keyword corresponding to a program that is unlikely to be viewed by the user, and a day and a time zone to which the current time belongs are identified. The programs corresponding to the specified keyword are excluded from the programs corresponding to the specified genre, and the programs not excluded are excluded. Recommendation section for Como, to function as.

  According to the present invention, it is possible to present a program that is highly likely to be viewed.

It is a figure which shows the outline | summary of the program recommendation apparatus which concerns on 1st Embodiment. It is a figure which shows the structure of the program recommendation apparatus which concerns on 1st Embodiment. It is a figure which shows an example of viewing-and-listening history information. It is an example of a value indicating the degree of viewing for each day of the week, time of day, and genre. It is a figure which shows the example of the menu screen displayed on a display. 7 is a flowchart showing a flow of processing for calculating a viewing degree in the program recommendation device. 7 is a flowchart showing a flow of processing for recommending a program in the program recommending apparatus. It is a figure which shows the structure of the program recommendation apparatus which concerns on 2nd Embodiment.

<First Embodiment>
[Outline of Program Recommendation Device 1]
FIG. 1 is a diagram showing an outline of a program recommendation device 1 according to the first embodiment. The program recommendation device 1 is, for example, a set-top box that is provided in the home of a user who uses a cable television and receives a broadcast signal such as a cable television broadcast or a terrestrial digital television broadcast.

  The program recommending apparatus 1 receives various broadcast signals to acquire program content (hereinafter, simply referred to as “program”) broadcast by a broadcasting station or a cable TV business operator, and receives the TV content connected to itself. It is displayed on the display 2 of the machine or the like. It is assumed that the users who use the program recommending apparatus 1 include families who live together in the place where the program recommending apparatus 1 is installed. For example, when the program recommending apparatus 1 is installed in the house of a family of four, the number of users is four.

  In the first embodiment, the program recommending apparatus 1 identifies the degree of user viewing of a program for each day of the week, time of day, and genre based on the viewing history of the program of the user ((1) in FIG. 1). The program recommending apparatus 1 identifies a genre to be recommended for each day of the week and time period based on the identified degree of viewing ((2) in FIG. 1). When displaying the menu screen on the display 2, the program recommending apparatus 1 displays a program corresponding to the specified genre as a recommended program recommended by the program recommending apparatus 1 ((3) in FIG. 1).

In this way, the program recommending apparatus 1 displays a program corresponding to the genre specified for each day of the week and time as a recommended program. Therefore, the program recommending apparatus 1 responds to each preference of a plurality of users changing for each day of the week and time. , A program that is likely to be viewed can be presented.
The configuration of the program recommendation device 1 will be described below.

[Configuration Example of Program Recommendation Device 1]
FIG. 2 is a diagram showing a configuration of the program recommending device 1 according to the first embodiment.
The program recommending device 1 includes an input unit 11, a communication unit 12, a storage unit 13, and a control unit 14.

The input unit 11 is, for example, a button or a remote controller provided in the program recommending apparatus 1, and receives an operation input from a user of the program recommending apparatus 1.
The communication unit 12 is, for example, a tuner, and receives various broadcast signals to acquire a program corresponding to the broadcast signals. The communication unit 12 also communicates with various servers via a communication network such as the Internet.

  For example, the communication unit 12 receives an electronic program guide from a distribution server that distributes an electronic program guide (EPG: Electronic Program Guide) via a communication network. The electronic program guide includes a program schedule on each channel, a program genre, and explanatory information for explaining the content of the program. Further, the communication unit 12 communicates with the display 2 and also communicates with a recording device (not shown) that records a program. It is assumed that the recording device accepts a recording reservation of a program from the user of the program recommending apparatus 1 and reserves the program according to the reservation.

  The storage unit 13 is, for example, a ROM and a RAM. The storage unit 13 stores various programs for causing the program recommending apparatus 1 to function. For example, the storage unit 13 stores a program recommendation program that causes the control unit 14 of the program recommending apparatus 1 to function as a storage control unit 141, a viewing degree specifying unit 142, a genre specifying unit 143, a recommending unit 144, and a deleting unit 145, which will be described later. To do.

  The storage unit 13 also stores the electronic program guide received by the communication unit 12 and viewing history information indicating the history of programs viewed by the user. FIG. 3 is a diagram showing an example of viewing history information. As shown in FIG. 3, the viewing history information includes a viewing start time indicating a time when the user starts viewing the program, a viewing end time indicating a time when the user finishes viewing the program, and a program viewed by the user. It includes the corresponding channel, the program ID that identifies the program viewed by the user, and the viewing type. The viewing type is information indicating whether the viewing of the program is viewing of the program being broadcast or viewing of the recorded program.

  The control unit 14 is, for example, a CPU. The control unit 14 controls various functions of the program recommending apparatus 1 by executing various programs stored in the storage unit 13. The control unit 14 includes a storage control unit 141, a viewing degree identification unit 142, a genre identification unit 143, a recommendation unit 144, and a deletion unit 145.

  The storage control unit 141 causes the storage unit 13 to store viewing history information corresponding to the program viewed by the user. Specifically, when the program is selected by the selection operation, the storage control unit 141 sets the selected time as the viewing start time, and identifies the channel corresponding to the selected program and the selected program. The program ID and the viewing type are specified. When the input unit 11 receives an operation of switching the channel or an operation of turning off the power of the program recommending apparatus 1, the storage control unit 141 determines that the viewing of the program watched by the user has ended. , The time when the operation is accepted is the viewing end time of the program. Then, the storage control unit 141 stores the viewing start time, the viewing end time, the channel, the program ID, and the viewing type in the storage unit 13 as viewing history information in association with each other.

  The viewing degree specifying unit 142 specifies the viewing degree of the program of the user for each day of the week, time zone, and genre to which the program belongs, based on the viewing history of the program of the user. Specifically, the viewing degree identifying unit 142 determines that the viewing start time included in the viewing history information is in accordance with the fact that the viewing of the program is finished and the viewing history information corresponding to the program is stored in the storage unit 13. Based on this, the day of the week and the time of day when the user viewed the program is specified. The viewing degree identification unit 142 may identify the day of the week and the time of day when the user viewed the program, based on at least one of the viewing start time and the viewing end time included in the viewing history information. Further, the viewing degree identifying unit 142 refers to the electronic program guide stored in the storage unit 13 and identifies the genre to which the program viewed by the user belongs.

  The viewing degree specifying unit 142 calculates the viewing time of the program of the user based on the viewing start time and the viewing end time included in the viewing history information, and calculates the value indicating the viewing degree based on the viewing time. Here, the viewing degree specifying unit 142 estimates the viewing status of the program of the user based on the viewing history information stored in the storage unit 13, and weights the viewing degree based on the viewing status.

  Specifically, the viewing degree identifying unit 142 identifies, based on the viewing type included in the viewing history information, whether the viewing of the program is the viewing of the program being broadcast or the viewing of the recorded program. The viewing degree is weighted based on the identification result. When a user views a recorded program, it is considered that the user is consciously watching the program. On the other hand, when the user views the program being broadcast, the user may have accidentally watched the program as a result of operating the input unit 11. Therefore, when the viewing of the program is viewing of the recorded program, the viewing degree identifying unit 142 increases the value indicating the viewing degree as compared with the case of viewing the program being broadcast. By doing so, the program recommending apparatus 1 can increase the degree of viewing of a genre corresponding to a program that is likely to be viewed by the user.

  In addition, the viewing degree specifying unit 142 estimates whether or not the user is zapping based on the viewing history information, and weights the viewing degree based on the estimation result. For example, when the viewing time of the user's program is less than a predetermined time (for example, 1 minute), it is highly likely that the user is zapping and not watching the program intentionally. Therefore, when the viewing degree identifying unit 142 determines that the program is viewed by zapping, the viewing degree determining unit 142 regards the user as not viewing the program, and sets the value indicating the viewing degree to a value indicating that the program is not viewed. , A value close to this value. By doing so, the program recommending apparatus 1 can reduce the influence of viewing by zapping on the calculation of the viewing degree.

  Further, the viewing degree identifying unit 142 may determine whether or not the user continuously views a plurality of programs on the same channel, based on the viewing history information. Then, when the viewing degree identifying unit 142 determines that the plurality of programs on the same channel are continuously viewed, it is determined that these programs are not viewed intentionally, and a value indicating the viewing degree is set. The value may be a value indicating that the user is not watching or a value close to the value. By doing so, the program recommending apparatus 1 reduces the influence of the viewing on the calculation of the viewing degree when there is a high possibility that the user is not viewing the program intentionally while the program is being displayed. can do.

  In addition, when the program recommended by the recommendation unit 144 described later is not viewed, the viewing degree specifying unit 142 may reduce the viewing degree of the genre to which the program belongs. For example, when the program recommended by the recommending unit 144 is not viewed, the genre to which the program belongs, which corresponds to the day of the week and the time slot in which the program is broadcast, is specified. Then, when the genre of the newly viewed program matches the specified genre, the viewing degree of the newly viewed program is reduced. By doing so, the program recommendation device 1 relatively reduces the viewing degree of programs related to programs that the user has not browsed, and does not recommend programs that are unlikely to be browsed by the user. You can

  The viewing degree specifying unit 142 may adjust the viewing degree of the genre to which the program belongs, according to the type of broadcast corresponding to the program (for example, terrestrial digital television broadcast, BS digital broadcast, CS digital broadcast, etc.). Generally, terrestrial digital television broadcasting programs have a higher name recognition than programs such as BS digital broadcasting and CS digital broadcasting. Therefore, when a user views a program such as BS digital broadcasting and CS digital broadcasting, the user is likely to be watching the program consciously. Therefore, when the type of the broadcast corresponding to the program corresponds to a broadcast other than the terrestrial digital television broadcast, the viewing degree specifying unit 142 may relatively increase the viewing degree of the program.

  The viewing degree identification unit 142 stores a value indicating the viewing degree in the storage unit 13 for each of the identified days of the week, time zones, and genres to which the program belongs. For example, as illustrated in FIG. 4, the viewing degree specifying unit 142 associates the value indicating the viewing degree of each of a plurality of genres with the date when the viewing degree is calculated, for each day of the week and time of day, and the viewing degree. The information is stored in the storage unit 13 as information.

  The viewing degree specifying unit 142 may store the viewing degree information in a management server with which the program recommending apparatus 1 can communicate. By doing so, the management server can acquire the viewing degree information from each of the plurality of program recommending apparatuses 1, and can analyze the viewing degree among a plurality of users.

  The genre specifying unit 143 specifies a genre to be recommended for each day of the week and time period based on the viewing degree specified by the viewing degree specifying unit 142. For example, the genre specifying unit 143 refers to the viewing degree information stored in the storage unit 13, and totals the viewing degree values for each day of the week, time zone, and genre. Then, the genre specifying unit 143 specifies, for each day of the week and time of day, a predetermined number (for example, three) of genres having a relatively high aggregate value as a recommendation target genre.

  The recommendation unit 144 recommends a program corresponding to the genre specified for the day of the week and the time zone to which the current time belongs. Specifically, the recommendation unit 144 stores the electronic data stored in the storage unit 13 in response to the user turning on the power of the program recommending apparatus 1 or performing the display operation of the menu screen with the input unit 11. By referring to the program guide, the program corresponding to the genre specified by the genre specifying unit 143 is specified. The recommendation unit 144 transmits information indicating the specified genre to an external server that manages meta-information such as program genres and program contents, and the external server selects programs corresponding to the specified genre. You may specify the program corresponding to the said genre by receiving the information shown.

  Then, the recommendation unit 144 sets the identified program as a recommended program recommended by the program recommending apparatus 1, and causes the display 2 to display a menu screen including information indicating the recommended program (for example, program introduction information). FIG. 5 is a diagram showing an example of a menu screen displayed on the display 2. In the example shown in FIG. 5, it can be confirmed that thumbnail images of recommended programs A, B, C, and D are displayed.

Here, the recommendation unit 144 may estimate the viewing status of the program of the user and select the recommended program based on the viewing status. For example, the recommendation unit 144 acquires information indicating the reservation status of a program from the recording device connected to the program recommendation apparatus 1, and based on the recording reservation status of the program of the user, the program reserved by the user for recording. Specify. Then, the recommendation unit 144 excludes the programs for which the recording reservation is made from the recommended programs regardless of whether or not the user is watching the programs, and selects the recommended programs from the programs that are not reserved for recording. Select. By doing so, the program recommending apparatus 1 can exclude from the recommended programs programs that the user has already reserved for recording and can be expected to be viewed without recommending the programs.
Further, the recommendation unit 144 may exclude, from the recommended programs, rebroadcast programs of programs that the user has viewed within a predetermined period from the current time based on the viewing history information. By doing so, rebroadcast programs that are unlikely to be viewed by the user can be excluded from the recommended programs.

  Further, the recommendation unit 144 weights the programs corresponding to the specified genre based on the time until the broadcasting of the programs starts, and selects the recommended programs based on the result of the weighting. May be. For example, the recommendation unit 144 gives more weight to the program corresponding to the specified genre as the time from the current time to the broadcast is shorter. Then, the recommendation unit 144 selects recommended programs in descending order of weight value. By doing so, the currently broadcast program can be preferentially selected as the recommended program.

  Further, the recommendation unit 144 may weight the programs corresponding to the specified genre according to the type of broadcast corresponding to the programs, and select the recommended programs based on the result of the weighting. For example, when the program corresponding to the specified genre is a CS digital broadcast program, the recommending unit 144 assigns a larger weighting value than programs of other broadcast types, and the weighting values are arranged in descending order. You may make it select a recommended program.

  Further, the recommendation unit 144 estimates a program that is unlikely to be viewed among the programs corresponding to the genre specified by the genre specifying unit 143 based on the viewing history information, and excludes the program from the recommended programs. You may For example, the recommendation unit 144 refers to the electronic program guide, identifies program information indicating the content of the program corresponding to the genre identified by the genre identification unit 143, and identifies the keyword corresponding to the program based on the program information. Identify.

  Here, the keywords are words included in sports teams, celebrities, place names, and program titles. Then, the recommendation unit 144 identifies, based on the viewing history information, the frequency with which past programs corresponding to the identified keyword are zapped. Then, when the frequency exceeds a predetermined threshold value, the recommendation unit 144 estimates that the user intentionally avoids the program corresponding to the keyword and is unlikely to watch the program, and excludes the program from the recommended program. To do. For example, when the recommendation unit 144 determines that the user intentionally avoids a program related to a predetermined sports team, the recommendation unit 144 excludes the program corresponding to the sports team from the recommended programs.

  In addition, when the recommended program is not viewed, the recommendation unit 144 excludes the program from the newly recommended program. For example, as shown in FIG. 5, the recommendation unit 144 displays the recommended programs corresponding to the genre specified by the genre specifying unit 143 a predetermined number of times, and as a result, the recommended programs are not selected, Is determined not to be viewed and a new recommended program is selected, the recommended program that was not viewed is excluded from the new recommended programs. By doing so, it is possible to prevent programs that are not viewed by the user from being continuously displayed as recommended programs.

  Further, when the recommended program is viewed, the recommendation unit 144 may exclude the program from the newly recommended program. For example, as shown in FIG. 5, the recommendation unit 144 displays the recommended programs corresponding to the genre specified by the genre specifying unit 143 a predetermined number of times during a predetermined period (for example, 4 weeks), and the recommended programs are predetermined. It is determined that the program is continuously viewed in response to the selected number of times (for example, twice) and the program has been viewed, and the program is excluded from new recommended programs. By doing so, it is possible not to recommend a program that is expected to be viewed by the user without presenting it to the user as a recommended program.

  Further, when a series of programs is included in the programs corresponding to the specified genre, the recommendation unit 144 may recommend only one program included in the series of programs. Here, a series of programs is a program in which one story is completed by a plurality of programs such as dramas and animations. A user who views the one program has a high possibility of viewing another program different from the one program in the series of programs, and thus the effect of recommending the other program is low. On the other hand, the recommending unit 144 can recommend programs different from the series of programs instead of recommending other programs of the series of programs, so that various types of programs can be effectively used by the user. Can be recommended to.

  The deleting unit 145 deletes, from the storage unit 13, the viewing level information whose associated date is a predetermined time earlier (for example, one month) than the current time, among the viewing level information stored in the storage unit 13. By doing so, the program recommendation device 1 can specify the genre of the recommendation target based on the viewing degree of the program that the user has recently viewed.

[Process Flow in Program Recommendation Device 1]
Next, the flow of processing in the program recommendation device 1 will be described. First, the flow of processing for calculating the viewing degree will be described. FIG. 6 is a flowchart showing a flow of processing for calculating the viewing degree in the program recommending apparatus 1.
First, the viewing degree identification unit 142 determines whether or not the viewing history information is newly stored in the storage unit 13 by the storage control unit 141 (S1). When the viewing degree specifying unit 142 determines that the viewing history information is newly stored, the processing proceeds to S2, and when it is determined that the viewing history information is not newly stored, S1 is re-executed.

Subsequently, the viewing degree identification unit 142 identifies the genre to which the program indicated by the program ID included in the newly stored viewing history information belongs by referring to the electronic program guide stored in the storage unit 13 (S2). .
Subsequently, the viewing degree identifying unit 142 estimates the viewing status of the program corresponding to the viewing history information based on the newly stored viewing history information, and identifies the viewing degree of the program based on the estimation result. (S3).

  Then, the viewing degree identifying unit 142 newly stores the viewing degree information based on the day of the week, the time zone, and the identified genre in which the program corresponding to the newly stored viewing history information is being viewed (S4). . Specifically, the viewing degree specifying unit 142 stores the day of the week in which the program is viewed, the time zone, the genre specified in S2, and the date and time when the program is viewed, which are stored in the storage unit 13. Are stored in the storage unit 13 as the viewing degree information in association with each other.

Next, the flow of processing for recommending a program will be described. FIG. 7 is a flowchart showing a flow of processing for recommending a program in the program recommending apparatus 1.
First, the recommendation unit 144 determines whether or not a display request for a menu screen has been made (S11). If the recommendation unit 144 determines that the menu screen display request has been made, the process proceeds to S12, and if it is determined that the menu screen display request has not been made, S11 is re-executed.

Subsequently, the recommendation unit 144 identifies the genre of the recommendation target in the current day of the week and time zone (S12).
Next, the recommendation unit 144 specifies a program corresponding to the genre of the recommendation target specified in S12 from the electronic program guide stored in the storage unit 13 and specifies the program as a recommended program (S13).
Subsequently, the recommendation unit 144 causes the information indicating the recommended program specified in S13 to be displayed on the menu screen (S14).

[Effects of First Embodiment]
As described above, the program recommending apparatus 1 according to the first embodiment specifies the viewing degree of a user's program for each day of the week, time zone, and genre to which the program belongs, based on the viewing history of the user's program, and Based on the degree of viewing, a genre to be recommended is specified for each day of the week and time, and a program corresponding to the specified genre is recommended for the day of the week and the time of day to which the current time belongs.

  When a plurality of users use the program recommending apparatus 1, different users use the program recommending apparatus 1 depending on the day of the week and the time of day. On the other hand, the program recommending apparatus 1 displays a program corresponding to the genre specified for each day of the week and time as a recommended program, so that the program recommending apparatus 1 responds to each preference of a plurality of users changing for each day of the week and time. Thus, a program that is likely to be viewed can be presented.

<Second Embodiment>
[Specify recommended programs based on keywords]
Next, the second embodiment will be described. In the second embodiment, the program recommending apparatus 1 stores a keyword for selecting a recommended program, and recommends a recommended program based on a genre specified for a day of the week and a time zone and the keyword. It is different from the first embodiment in that it is specified. Hereinafter, parts different from the first embodiment will be described. Description of the same parts as those in the first embodiment will be appropriately omitted.

FIG. 8 is a diagram showing the configuration of the program recommending apparatus 1 according to the second embodiment.
In the second embodiment, the program recommending device 1 further includes a keyword specifying unit 146. The keyword specifying unit 146 specifies a keyword for selecting a recommended program based on the viewing history information stored in the storage unit 13. Specifically, the keyword identifying unit 146 identifies the keyword corresponding to the program viewed by the user, based on the viewing history information and the information indicating the content of the program included in the electronic program guide. The keyword specifying unit 146 specifies a keyword corresponding to the program watched by the user for each day of the week and each time period. The keyword identifying unit 146 stores the day of the week and the time period in association with the identified keyword in the storage unit 13.

  The keyword identifying unit 146 may weight the keywords based on the appearance frequency of the keywords corresponding to the program viewed by the user. For example, the keywords are sports teams, celebrities, place names, and the like. By doing so, it is possible to preferentially recommend programs corresponding to keywords that the user is likely to be interested in.

  The recommendation unit 144 specifies, as a recommended program, a program corresponding to the genre specified for the day of the week and the time zone to which the current time belongs, and a program corresponding to the keyword associated with the day of the week and the time zone. Then, the recommendation unit 144 causes the menu screen to display information indicating the specified recommended program.

[Effects of Second Embodiment]
As described above, the program recommending device 1 according to the second embodiment corresponds to the genre specified for the day of the week and the time zone to which the current time belongs, and also corresponds to the keyword associated with the day of the week and the time zone. Since the program to be performed is specified as the recommended program, it is possible to select, from the programs corresponding to the specified genre, the program that the user tends to watch relatively.

  Although the present invention has been described using the embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It is apparent to those skilled in the art that various changes or improvements can be added to the above-described embodiment. For example, in the above-described embodiment, the viewing degree is specified for each day of the week, time zone, and genre, and the genre to be recommended is specified for each day of the week and time zone, but the present invention is not limited to this. For example, the program recommending apparatus 1 may specify the viewing degree for each day of the week, time of day, and each channel, and may specify the recommended channel for each day of the week, each time of day.

  Further, in particular, the specific embodiment of the distribution / integration of the devices is not limited to the one illustrated above, and all or part of them may be arbitrarily added according to various additions or functional loads. The units can be functionally or physically distributed and integrated.

DESCRIPTION OF SYMBOLS 1 ... Program recommendation device, 11 ... Input part, 12 ... Communication part, 13 ... Storage part, 14 ... Control part, 141 ... Storage control part, 142 ... Viewing degree Specific part, 143 ... Genre specific part, 144 ... Recommendation part, 145 ... Delete part, 146 ... Keyword specific part, 2 ... Display

Claims (9)

A viewing degree specifying unit that specifies the viewing degree of the user's program based on the viewing history of the program of the user for each day of the week, time zone, and genre to which the program belongs;
Based on the degree of viewing, a genre specifying unit that specifies a genre of a recommendation target for each day of the week and time,
If the frequency of zapping the program corresponding to the predetermined keyword among the keywords corresponding to the program of the genre specified by the genre specifying unit is higher than a predetermined threshold value, it is unlikely that the user views the predetermined keyword. Recommendation that identifies the keyword corresponding to the program, excludes the program corresponding to the predetermined keyword from the programs corresponding to the genre identified for the day of the week and the time zone to which the current time belongs, and recommends the programs not excluded Department,
Program recommending device. The viewing degree specifying unit adjusts the viewing degree of the genre to which the program belongs, based on the type of broadcast corresponding to the program,
The program recommendation device according to claim 1. The recommending unit excludes a rebroadcast program of a program watched by the user within a predetermined period from the current time based on the viewing history from recommended programs.
The program recommendation device according to claim 1. The recommendation unit gives more weighting values to programs corresponding to the specified genre as the time from the current time to broadcast is shorter, and selects programs to be recommended in descending order of weighting value.
The program recommendation device according to any one of claims 1 to 3. The viewing degree specifying unit stores the viewing degree information indicating the viewing degree and the date when the viewing degree is calculated in association with each other in the storage unit,
Of the viewing degree information stored in the storage unit, a deletion unit that deletes from the storage unit the viewing degree information whose associated date is a predetermined time before the current time,
The program recommendation device according to any one of claims 1 to 4. The viewing degree specifying unit stores the viewing degree information in a device with which the program recommendation device can communicate.
The program recommendation device according to any one of claims 1 to 4. If the recommended program is not viewed, the recommendation unit excludes the program from the recommended programs,
The program recommendation device according to any one of claims 1 to 6. Executed by a computer,
A step of specifying a viewing degree of the program of the user for each day of the week, a time zone, and a genre to which the program belongs, based on the viewing history of the program of the user
A step of specifying a genre to be recommended for each day of the week and time of day based on the degree of viewing,
When the frequency of zapping a program corresponding to a predetermined keyword among keywords corresponding to a program of a specified genre is higher than a predetermined threshold value, it corresponds to a program in which the user is unlikely to watch the predetermined keyword. Steps for identifying keywords
A step of excluding a program corresponding to the predetermined keyword from programs corresponding to a genre specified for a day of the week and a time zone to which the current time belongs, and recommending a program not excluded;
A method for recommending programs. Computer,
A viewing degree specifying unit that specifies the viewing degree of the user's program for each day of the week, time zone, and genre to which the program belongs, based on the viewing history of the program of the user,
A genre specifying unit that specifies a genre to be recommended for each day of the week and time based on the degree of viewing, and
If the frequency of zapping the program corresponding to the predetermined keyword among the keywords corresponding to the program of the genre specified by the genre specifying unit is higher than a predetermined threshold value, it is unlikely that the user views the predetermined keyword. Recommendation that identifies the keyword corresponding to the program, excludes the program corresponding to the predetermined keyword from the programs corresponding to the genre identified for the day of the week and the time zone to which the current time belongs, and recommends the programs not excluded Department,
Program recommendation program to function as.

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