JP2020061182A - Show recommendation device, show recommendation system, method for recommending show, and show recommendation program - Google Patents

Abstract

To increase the variations of shows to be presented to a user.SOLUTION: A show recommendation device 1 includes: a selection unit 143 for selecting a recommendation system which recommends a show on the basis of the viewing record of the shows of a user; a recommendation unit 144 for recommending a show on the basis of the selected recommendation system; and a sending unit for sending, when the selection unit 143 has selected a predetermined recommendation system which recommends a show according to recommendation program information distributed from a distribution device for distributing recommendation program information showing a recommended show on the basis of the similarity between plural users, information for the user on the similarity to the distribution device.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a program recommending device, a program recommending system, a program recommending method, and a program recommending 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 for each keyword. A method of presenting a program based on a degree of preference is disclosed.

JP, 2007-318364, A

  By the way, if the program is continuously presented based on the degree of preference of the user as in the method disclosed in Patent Document 1, almost the same program will be selected as the presented program. Then, when the user continues to use the program presenting function, the user only sees almost the same program, and although the user has never seen the program, the user is likely to show an interest, and the program is provided. There arises a problem that a program that the user wants the user to watch is not watched.

  Therefore, the present invention has been made in view of these points, and it is an object of the present invention to provide a program recommending device, a program recommending system, a program recommending method, and a program recommending program capable of increasing variations of programs presented to users. To aim.

  A program recommending apparatus according to a first aspect of the present invention selects a recommending method for recommending a program based on a viewing history of a user's program, and a program to the user based on the selected recommending method. A recommending unit that recommends and a predetermined recommending method that the selecting unit recommends a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating a recommended program based on the similarities of a plurality of users. When selected, the distribution device includes a transmission unit that transmits information related to the user and that is related to the similarity.

  The transmitting unit distributes, as the information on the similarity, viewing history information indicating a viewing history of a program of the user, profile information indicating a profile of the user, and device identification information for identifying the program recommending device. It may be transmitted to the device.

  The storage unit further includes a storage unit that stores the profile information and the device identification information, and a storage control unit that stores the viewing history information in the storage unit, and the transmission unit is stored in the storage unit. The viewing history information, the profile information, and the device identification information may be transmitted to the distribution device.

  The recommendation unit transmits device identification information for identifying the program recommendation device and an acquisition request for the recommended program information to the distribution device when the selection unit selects the predetermined recommendation method, and The recommended program information may be acquired from the distribution device.

  A program recommendation system according to a second aspect of the present invention is a program recommendation system including a program recommendation device that recommends a program to a user and a distribution device that distributes recommended program information indicating a recommended program to the program recommendation device. The program recommendation device includes a selection unit that selects a recommendation system that recommends a program based on the viewing history of the user's program, and a recommendation unit that recommends the program to the user based on the selected recommendation system, When the selection unit selects a predetermined recommendation method for recommending a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating recommended programs based on the similarities of a plurality of users And a transmitting unit that transmits, to the distribution device, information corresponding to the user, the information relating to the similarity, and the distribution device based on the information relating to the similarity. Having a delivery unit ratio other users similar to the user view to deliver the recommended program information which indicates a relatively high program to the program recommendation apparatus. The distribution unit may distribute the recommended program information indicating a program not watched by the user to the program recommending device, among programs having a relatively high rate of being viewed by other users similar to the user. Good.

  A program recommending method according to a third aspect of the present invention includes a step of selecting a recommending method for recommending a program based on a viewing history of a program of a user, which is executed by a computer, and based on the selected recommending method. In a step of recommending a program to a user and in the selecting step, a program is recommended based on the recommended program information distributed from a distribution device that distributes recommended program information indicating a recommended program based on the similarities of a plurality of users. When the recommendation method is selected, the information corresponding to the user and the information about the similarity is transmitted to the distribution device.

  A program recommendation program according to a fourth aspect of the present invention provides a computer, a selection unit for selecting a recommendation method for recommending a program based on a viewing history of a program of the user, and a program for the user based on the selected recommendation method. The recommending unit that recommends a program and the selecting unit recommend a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating a recommended program based on the similarities of a plurality of users. A program recommendation program that causes the distribution device to function as a transmission unit that transmits information related to the user and information related to the similarity when a recommendation method is selected.

  According to the present invention, it is possible to increase the variation of programs to be presented to the user.

It is a figure which shows the outline | summary of the program recommendation apparatus which concerns on this embodiment. It is a figure which shows the structure of the program recommendation apparatus which concerns on this embodiment. It is a figure which shows an example of viewing-and-listening history information. 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 selecting a recommendation method in the program recommendation device.

[Outline of Program Recommendation Device 1]
FIG. 1 is a diagram showing an outline of the program recommending apparatus 1 according to the present 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 present embodiment, the program recommending apparatus 1 identifies the viewing status of a user's program based on the viewing history of the user's program ((1) in FIG. 1). Here, the viewing status includes the usage status of the program recommending apparatus 1 by the user and the status indicating whether or not the user has viewed the program. The program recommending apparatus 1 selects one of a plurality of recommending methods for recommending a program based on the identified viewing situation ((2) in FIG. 1). The program recommending apparatus 1 specifies a recommended program recommended to the user based on the selected recommendation method, and displays the recommended program when displaying the menu screen on the display 2 ((3) in FIG. 1). .
By doing so, the program recommending apparatus 1 can increase the variations of the recommended programs presented to the user.
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 the configuration of the program recommending apparatus 1 according to the present 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 recommendation device 1 to function as a storage control unit 141, a specification unit 142, a selection unit 143, a recommendation unit 144, and a deletion unit 145, which will be described later.

  Here, the program recommending program includes programs corresponding to a plurality of recommending methods for recommending a program to the user of the program recommending apparatus 1. Here, the plurality of recommendation methods include a first method, a second method, and a third method. The first method is a method in which a program providing side (for example, a cable television company or a broadcasting company) recommends a program. The second method is a method of recommending a program similar to the program viewed in the past by the user based on the viewing history information. The third method is a method of recommending a program based on the similarities of a plurality of users who use different program recommending apparatuses 1. Details of these methods will be described later.

  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 specification unit 142, a selection 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 identifying unit 142 identifies the viewing status of the program of the user based on the viewing history of the user. Specifically, the identifying unit 142 determines whether or not the amount of viewing history information stored in the storage unit 13 is less than a predetermined amount at predetermined time intervals (eg, every other day), and It is specified whether or not the viewing status of is a status in which the user starts using the program recommending apparatus 1 and starts viewing the program. When the amount of viewing history information is less than a predetermined amount, the identifying unit 142 identifies that the user has started using the program recommending apparatus 1 and has started viewing the program, and the amount of viewing history information is not less than the predetermined amount. In some cases, it identifies that it is not the beginning of watching the program. Here, the predetermined amount is assumed to be, for example, the amount of the viewing history for one month, but is not limited to this as long as the user can appropriately analyze the program viewed in the past.

  Further, the identifying unit 142 identifies the viewing status of the program recommended by the recommending unit 144 described later based on the viewing history information. For example, the storage unit 13 stores a program ID that identifies a program recommended by the recommending unit 144, and the identifying unit 142 determines whether the program ID is included in the viewing history information. Thus, it is specified whether or not the program recommended by the recommendation unit 144 has been viewed. The specifying unit 142 determines that the recommended program is not viewed when the ratio of the number of recommended programs and the number of the programs included in the viewing history information is less than a predetermined value. Good.

The selection unit 143 selects one of a plurality of recommendation methods for recommending a program, based on the viewing status of the program by the user.
Specifically, the selecting unit 143 selects the first method when the identifying unit 142 identifies that the user's program viewing state is the state in which the use of the program recommending apparatus 1 is started and the program is started to be viewed. To do. Further, the selecting unit 143 selects the second method when the specifying unit 142 specifies that the viewing status of the program by the user is not the status in which the use of the program recommending apparatus 1 is started and the viewing of the program is started.

  When the user's program viewing status is a status in which the use of the program recommending apparatus 1 is started and the program is started to be viewed, the amount of viewing history information stored in the storage unit 13 is small and the user is in the past. It is not possible to properly perform analysis based on the programs watched. On the other hand, the program recommending apparatus 1 selects the first method for recommending the program by the side providing the program when the user starts using the program recommending apparatus 1 and starts to watch the program. Therefore, a program can be recommended even when the amount of viewing history information is small.

When the specifying unit 142 specifies that the program recommended by the recommending unit 144 is not being viewed, the selecting unit 143 selects a recommending method different from the recommending method recommending the program. Specifically, when the recommending unit 144 recommends a program based on the second method, the selecting unit 143 refers to the viewing history information and views the program recommended based on the second method. If the specifying unit 142 specifies that the third method is not performed, the third method is selected.
By doing so, the program recommending apparatus 1 can switch the recommending method to the third method when the effect of recommending the program by the second method is small, and can improve the effect of recommending the program.

It should be noted that the selection unit 143 identifies a recommended method in which the recommended program is relatively likely to be viewed based on the viewing history after selecting each of the plurality of recommended methods, and selects the recommended method. You may. Specifically, the selection unit 143 determines whether a predetermined time has passed after the recommended method was switched from the second method to the third method, or a predetermined time was elapsed after the recommended method was switched from the first method to the second method. However, if the mode is not switched to the third method, the ratio of the viewed program to the number of programs recommended by each recommendation method is calculated based on the viewing history information. Then, the selection unit 143 identifies the recommendation method having the highest proportion as a recommendation method having a relatively high possibility of viewing the recommended program, and selects the recommendation method.
By doing so, the program recommending apparatus 1 can recommend the program based on the most effective recommending method among the plurality of recommending methods.

  Further, the selection unit 143 may select the recommendation method based on the change of the broadcast program. For example, a broadcast program may change at the time of reorganization of a program such as a change of seasons or a change of years. On the other hand, the selection unit 143 refers to the electronic program guide stored in the storage unit 13, and refers to a program that is regularly broadcast (for example, a program that is broadcast on a predetermined day of the week or a weekly program). By determining whether or not the title of the program (broadcast on weekdays) has been changed to another title, it is determined whether or not the program is in the reorganization period. Then, the selection unit 143 selects the second method when it is determined that the program is in the reorganization period, and selects the third method when it is determined that the program is not in the reorganization period.

  By doing so, the program recommendation device 1 newly broadcasts by selecting the second method that recommends a program similar to the program that the user viewed in the past based on the viewing history information during the program reorganization period. Among the displayed programs, a program similar to the program that the user has watched in the past can be presented as a recommended program.

  Further, the program recommending apparatus 1 selects a third method for recommending a program based on the similarities of a plurality of users who use different program recommending apparatuses 1 at a time when the program is not being reorganized, so that the program recommending apparatus 1 A program viewed by another user similar to the user can be presented as a recommended program. Accordingly, when the same program is regularly broadcast, it is possible to present to the user a new program that is not based on the viewing tendency of the user.

  The recommending unit 144 selects the program based on the recommending method selected by the selecting unit 143 in response to the user turning on the power of the program recommending apparatus 1 or performing the display operation of the menu screen by the input unit 11. Recommendation to.

  When the selecting unit 143 selects the first system, the recommending unit 144 displays a recommended program corresponding to the first system in response to the display operation of the menu screen performed by the input unit 11. An acquisition request for recommended program information is transmitted to a first distribution device (not shown) that distributes information. The first distribution device stores recommended program information indicating a recommended program selected by the program provider and recommended to the user of the program recommendation device 1. The first distribution device transmits the recommended program information to the program recommendation device 1 in response to receiving the acquisition request of the recommended program information from the program recommendation device 1.

  Upon receiving the recommended program information from the first distribution device, the program recommending apparatus 1 causes the display 2 to display a menu screen including information (for example, program introduction information) indicating the recommended program included in the recommended program information. FIG. 4 is a diagram showing an example of a menu screen displayed on the display 2. In the example shown in FIG. 4, it can be confirmed that thumbnail images of recommended programs A, B, C and D are displayed.

  The first distribution device accepts a popular program such as a high audience rating in each of a plurality of genres as a recommended program recommended to the user from the program providing side, and associates the recommended program with the genre. May be remembered. In this case, the first distribution device may accept a genre in which the user is interested in advance from the user via the program recommendation device 1.

  Then, in response to receiving the acquisition request of the recommended program information from the program recommending apparatus 1, the first distribution apparatus selects a program corresponding to the genre previously received from the user of the program recommending apparatus 1 as a recommended program, Recommended program information indicating the recommended program may be transmitted to the program recommending device 1. Further, the first distribution device does not accept the recommended program from the side providing the program and is presented in the program having a high average audience rating, the program having a high topicality in SNS (Social Networking Service), or the curation service. The existing program may be specified and the program may be selected as the recommended program.

  When the second method is selected by the selecting unit 143, the recommending unit 144 specifies the genre to which the program viewed by the user in the past belongs, based on the viewing history information. Specifically, the recommendation unit 144 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 information, and based on the viewing degree, the day of the week and the time of day. Specify the recommended genre for each obi.

  Then, the recommendation unit 144 refers to the electronic program guide stored in the storage unit 13 in response to the display operation of the menu screen being performed by the input unit 11, and determines the day and time zone to which the current time belongs. A program corresponding to the specified genre is specified as a recommended program. The program recommending apparatus 1 causes the display 2 to display a menu screen including information indicating the specified recommended program.

  Note that the recommendation unit 144 specifies the recommended program based on the electronic program guide when the second method is selected, but the present invention is not limited to this. For example, a second distribution device (not shown) that manages meta information such as the genre of a program and the content of the program, and transmits recommended program information indicating a recommended program corresponding to the genre in response to acceptance of the genre. It may be provided. Then, the recommendation unit 144 transmits the information indicating the specified genre to the second distribution device, and receives the recommended program information indicating the recommended program corresponding to the specified genre from the second distribution device. You may specify the recommendation program corresponding to.

  Further, when the second system is selected, the recommendation unit 144 refers to the electronic program guide and identifies a program corresponding to the genre identified for the day of the week and the time zone to which the current time belongs as the recommended program. However, it is not limited to this. For example, when the second method is selected, the recommendation unit 144 identifies the program viewed by the user based on the viewing history information, and selects the program from the description information that describes the content of the program included in the electronic program guide. You may extract the keyword corresponding to. Keywords are sports teams, celebrities, place names, etc. Then, the recommendation unit 144 may specify, in the electronic program guide, a program that the user does not view among the programs corresponding to the keyword as a recommended program.

  When the third method is selected by the selection unit 143, the recommendation unit 144 identifies the program recommendation device 1 from the profile information of the user, which is previously input by the user of the program recommendation device 1 and stored in the storage unit 13. Device ID to be transmitted to a third distribution device (not shown) which distributes recommended program information indicating a recommended program corresponding to the third method. Here, the profile information of the user includes, for example, information indicating the age of the user, the family structure, the genre in which the user is interested, and the like. In addition, when the third method is selected, the recommendation unit 144 periodically transmits the viewing history information and the device ID stored in the storage unit 13 to the third distribution device.

The third distribution device stores the device ID received from each of the plurality of program recommending devices 1, the profile information of the user, and the viewing history information in association with each other.
When the third method is selected, the recommending unit 144 determines the device ID for identifying the program recommending device 1 and the request for acquiring recommended program information in response to the display operation of the menu screen performed by the input unit 11. And are transmitted to the third distribution device.

  Upon receiving the device ID and the recommended program information acquisition request, the third distribution device specifies the profile information of the user associated with the device ID, and has a profile similar to the profile indicated by the profile information. Multiple users of. The third distribution device makes a request for acquisition of recommended program information based on the viewing history information of the other specified users, among the programs having a relatively high ratio of viewing by the other users. A program that is not viewed by the user of the transmitted program recommending apparatus 1 is selected as a recommended program. Then, the third distribution apparatus transmits recommended program information indicating the selected recommended program to the program recommending apparatus 1 that has transmitted the recommended program information acquisition request. Upon receiving the recommended program information from the third distribution apparatus, the program recommending apparatus 1 causes the display 2 to display a menu screen including information indicating the recommended program included in the recommended program information.

  The third distribution device specifies the recommended program based on the viewing history information of a plurality of other users having similar profiles to the user, but the present invention is not limited to this. For example, the third distribution device identifies viewing history information of another user similar to the viewing history information of the user, and selects a program that the user does not view among the programs included in the identified viewing history information as a recommended program. You may choose. In this case, the third distribution device identifies the viewing tendency of the user for each day of the week, time zone, and length of program broadcast time based on the user's viewing history information, and broadcasts the day of the week, the time zone, and the program. Other users having similar viewing habits may be specified for each length of time. Then, the third distribution device may select the recommended program based on the viewing history information of the specified other user.

  Of the viewing history information stored in the storage unit 13, the deleting unit 145 deletes from the storage unit 13 the viewing history information stored a predetermined time (for example, one month) before the current time. By doing so, the program recommending apparatus 1 can recommend the program based on the viewing history of the program recently watched by the user when recommending the program by the second method.

[Process Flow in Program Recommendation Device 1]
Next, the flow of processing for selecting a recommendation method in the program recommendation device 1 will be described. FIG. 5 is a flowchart showing a flow of processing for selecting a recommendation method in the program recommendation device 1.

  First, the identifying unit 142 determines whether the amount of viewing history information stored in the storage unit 13 is less than a predetermined amount (S1). When determining that the amount of viewing history information is less than the predetermined amount, the identifying unit 142 moves the process to S2, and if determining that the amount of viewing history information is not less than the predetermined amount, moves the process to S3.

In S2, the selection unit 143 selects the first method as the recommended method. After selecting the first method, the selection unit 143 shifts the processing to S1.
In S3, the selection unit 143 selects the second method as the recommended method.

  In S4, the identifying unit 142 refers to the viewing history information and determines whether or not the recommended program recommended by the second method is being viewed. When determining that the recommended program is being viewed, the identifying unit 142 re-executes S4, and when determining that the recommended program is not being viewed, moves the process to S5.

In S5, the selection unit 143 selects the third method as the recommended method.
Subsequently, the selection unit 143 calculates a viewing ratio corresponding to each of the plurality of recommended methods in response to the lapse of a predetermined time from the selection of the third method in S5 (S6).
Subsequently, the selection unit 143 selects the recommendation method with the highest viewing ratio based on the calculation result in S6 (S7).

  The selecting unit 143 may repeatedly select the recommended method after the recommended method is selected in S7. In this case, the identifying unit 142 determines whether or not the recommended program recommended by the recommended method is being viewed after the recommended method is selected. Then, the selection unit 143 may select another recommended method in response to the determination that the recommended program recommended by the recommended method is not being viewed.

[Effects of this embodiment]
As described above, the program recommending apparatus 1 according to the present embodiment selects one of a plurality of recommending methods for recommending a program based on the viewing status of the program of the user, and based on the selected recommending method, the program is recommended. Recommend.
By doing so, the program recommending apparatus 1 can recommend programs based on different recommending methods according to changes in the viewing status of the user's programs. By adopting the recommendable method, it is possible to increase the variations of the recommended programs presented to the user.

  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 program recommending apparatus 1 specifies the viewing degree for each day of the week, time zone, and genre in the second method, specifies the genre to be recommended for each day of the week, and the genre. Recommended programs that belong to, but are not limited to. For example, the program recommending apparatus 1 specifies the viewing degree for each day of the week, time of day, and channel, specifies a channel to be recommended for each day of the week, and even recommends a program broadcast on the channel. Good.

  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. For example, in the above-described embodiment, the distribution device that distributes the recommended program information has been described as being different for each of the plurality of recommendation systems. The recommended program information may be distributed correspondingly.

DESCRIPTION OF SYMBOLS 1 ... Program recommendation device, 11 ... Input part, 12 ... Communication part, 13 ... Storage part, 14 ... Control part, 141 ... Storage control part, 142 ... Specification part , 143 ... Selector, 144 ... Recommendation, 145 ... Erase, 2 ... Display

Claims (8)

A selection unit for selecting a recommendation method for recommending a program based on the viewing history of the user's program;
A recommendation unit that recommends a program to the user based on the selected recommendation method;
When the selection unit selects a predetermined recommendation method for recommending a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating recommended programs based on the similarities of a plurality of users A transmission unit that transmits information related to the user to the distribution device, the information relating to the similarity,
Program recommending device. The transmitting unit distributes, as the information on the similarity, viewing history information indicating a viewing history of a program of the user, profile information indicating a profile of the user, and device identification information for identifying the program recommending device. Send to the device,
The program recommendation device according to claim 1. A storage unit that stores the profile information and the device identification information;
A storage control unit for storing the viewing history information in the storage unit;
Further equipped with,
The transmission unit transmits the viewing history information, the profile information, and the device identification information stored in the storage unit to the distribution device,
The program recommendation device according to claim 2. The recommendation unit transmits device identification information for identifying the program recommendation device and an acquisition request for the recommended program information to the distribution device when the selection unit selects the predetermined recommendation method, and Acquiring the recommended program information from the distribution device,
The program recommendation device according to any one of claims 1 to 3. A program recommendation system comprising: a program recommendation device for recommending a program to a user; and a distribution device for distributing recommended program information indicating a recommended program to the program recommendation device,
The program recommendation device,
A selection unit for selecting a recommendation method for recommending a program based on the viewing history of the user's program;
A recommendation unit that recommends a program to the user based on the selected recommendation method;
When the selection unit selects a predetermined recommendation method for recommending a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating recommended programs based on the similarities of a plurality of users A transmission unit that transmits information related to the user to the distribution device, the information relating to the similarity,
Have
The delivery device is
A distribution unit that distributes to the program recommendation device the recommended program information indicating a program having a relatively high proportion of viewing by other users similar to the user, based on the information on the similarity;
Program recommendation system. The distribution unit distributes, to the program recommendation device, the recommended program information indicating a program that is not viewed by the user among programs having a relatively high rate of viewing by other users similar to the user.
The program recommendation system according to claim 5. Computer running,
Selecting a recommendation method for recommending a program based on the viewing history of the user's program,
Recommending a program to the user based on the selected recommendation scheme;
In the selecting step, when a predetermined recommendation method for recommending a program by the recommended program information distributed from a distribution device that distributes recommended program information indicating a recommended program based on the similarities of a plurality of users is selected A step of transmitting to the distribution device information corresponding to the user, the information relating to the similarity;
A method for recommending programs. Computer,
A selection unit for selecting a recommendation method for recommending a program based on the viewing history of the program of the user,
A recommendation unit that recommends a program to the user based on the selected recommendation method, and
When the selection unit selects a predetermined recommendation method for recommending a program based on the recommended program information distributed from a distribution device that distributes recommended program information indicating recommended programs based on the similarities of a plurality of users A transmission unit that transmits information related to the user to the distribution device, the information relating to the similarity,
Program recommendation program to function as.

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