JP5666629B2 - RECOMMENDATION SYSTEM, RECOMMENDATION SERVER, USER TERMINAL, RECOMMENDATION METHOD, AND RECOMMENDATION PROGRAM - Google Patents

Description

  The present invention relates to a recommendation system, a recommendation server, a user terminal, a recommendation method, and a recommendation program that provide recommendation data of a program provided at a predetermined time and channel.

  2. Description of the Related Art In recent years, with the development of communication networks and information devices, methods for distributing programs on a large number of channels via communication networks and broadcast radio waves have become widespread. At this time, various program recommendation methods (recommendations) are known in order to provide the user with a program that meets the user's preference (see, for example, Patent Document 1). Patent Document 1 discloses a method for recommending to a user content associated with content metadata including the keyword based on the metadata keyword of the content to be used by the user.

JP 2005-293384 A

  However, as shown in Patent Document 1, when recommending based on content metadata, such as a user's usage genre, a relatively large number of histories are required in order to recommend an appropriate program to the user. There is a case. For example, when a recommendation is made according to a genre, only a general tendency is shown, and it may be difficult to reflect detailed preferences of individual users.

  Therefore, an object of the present invention is to provide a recommendation system, a recommendation server, a user terminal, a recommendation method, and a recommendation program that can appropriately recommend a program to the user regardless of the usage history of the user.

In order to solve the above-described problem, a first feature of the present invention is that a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres , The present invention relates to a recommendation system including a user terminal used by a user. A user terminal according to the first aspect of the present invention includes a storage device that stores reserved program data including a channel identifier of at least one program to be recorded by the user, and transmits the reserved program data to the recommendation server. And recommendation request means for receiving recommendation data of a program that can be reserved . The recommendation server includes a storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel, and a reserved program data receiving unit that receives reserved program data from a user terminal And preference channel data output means for outputting the user's favorite channel identifier based on the reserved program data, and the program identifier associated with the favorite channel identifier in the program ranking data for each channel is output as recommendation data. Recommending data output means.

The second feature of the present invention relates to a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user. The recommendation server according to the second aspect of the present invention includes a storage device that stores program ranking data for each channel in which a channel identifier and a ranking of a program that can be reserved for the channel are associated with each other, and a user terminal. Reserved program data receiving means for receiving reserved program data including a channel identifier of at least one program to be recorded, preference channel data output means for outputting an identifier of a user's favorite channel based on reserved program data, and for each channel In the program ranking data, there is provided recommendation data output means for outputting, as recommendation data, an identifier of the program associated with the identifier of the preference channel .

  Here, the reserved program data associates the identifier of the program to be recorded with the channel identifier of the program, and the recommended data output means is included in the reserved program data among the identifiers of the programs included in the recommended data. The program identifier may be deleted and the recommendation data may be output.

  Further, the recommended data output means may output more program identifiers associated with the channel identifiers as recommended data for the channel identifiers included more in the reserved program data.

A third feature of the present invention relates to a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user. The recommendation server according to the third aspect of the present invention includes a channel-specific program ranking data in which a channel identifier is associated with a ranking of a program that can be reserved for the channel, a user identifier, and an operation target of the user. In a storage device for storing user history data associated with channel identifiers, preference channel data output means for outputting user preference channel identifiers based on user history data, and program ranking data for each channel, Recommendation data output means for outputting the ranking of the program associated with the identifier of the preference channel as recommendation data.

Here the user terminal, further comprising a my channel data receiving means for receiving the my channel data including the identifier of the channel preferences of the user, the preference channel data output means, and based on my channel data, the preference channel An identifier may be output.

  Further, the recommendation data output means may output more program identifiers associated with the channel identifiers as recommendation data for the channel identifiers included more in the user history data.

According to a fourth aspect of the present invention, there is provided a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by a user. It is related with the recommendation system with which it is provided. In the recommendation system according to the fourth aspect of the present invention, the user terminal stores a reserved program data including a channel identifier of at least one program to be recorded by the user, and the user terminal based on the reserved program data. Preference channel data generation means for generating preference channel data including a preference channel identifier, and recommendation request means for transmitting preference channel data to a recommendation server and receiving recommendation data of a program that can be reserved from the recommendation server. . A recommendation server includes a storage device that stores program ranking data for each channel in which a channel identifier and a ranking of a program that can be reserved for the channel are associated with each other, and a preference channel data receiving unit that receives preference channel data from a user terminal And recommendation data output means for outputting, as recommendation data, an identifier of the program associated with the identifier of the preference channel indicated by the preference channel data in the program ranking data for each channel.

A fifth feature of the present invention relates to a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user. The recommendation server according to the fifth aspect of the present invention includes a storage device that stores channel ranking program ranking data in which a channel identifier and a ranking of a program that can be reserved for the channel are associated with each other, and a user terminal. Preference channel data receiving means for receiving the preference channel identifier, and recommendation data output means for outputting the program identifier associated with the preference channel identifier in the program ranking data for each channel as recommendation data.

A sixth feature of the present invention is that a user terminal is connected to a recommendation server that outputs recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres , and used by a user. A program ranking that obtains program ranking data for each channel in which a channel identifier and a ranking of a program that can be reserved in the channel are associated with each other from a storage device that stores an identifier of a user's favorite channel and a recommendation server. Data acquisition means and recommendation data output means for outputting, as recommendation data, an identifier of a program associated with an identifier of a favorite channel in the program ranking data for each channel .

  Here, the storage device further stores reserved program data including a channel identifier of at least one program to be recorded by the user, and generates preference channel data including an identifier of the user's favorite channel based on the reserved program data. Channel data generating means may be further provided.

  Further, the recommendation data output means may delete the program identifier included in the reserved program data from the program identifiers included in the recommendation data and output the recommendation data.

According to a seventh aspect of the present invention, there is provided a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by a user. It is related with the recommendation system with which it is provided. A recommendation system according to a seventh aspect of the present invention includes a storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel, and an identifier of a user's favorite channel And a recommendation data output means for outputting, as recommendation data, an identifier of the program associated with the identifier of the favorite channel in the program ranking data for each channel .

According to an eighth aspect of the present invention, there is provided a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by a user. The present invention relates to a recommendation method used in a recommendation system provided. In the recommendation method according to the eighth aspect of the present invention, in the program ranking data for each channel in which the identifier of the user's favorite channel is stored, the identifier of the channel and the ranking of the program that can be reserved in the channel are associated with each other. And outputting the program identifier associated with the preference channel identifier as recommendation data.

According to a ninth aspect of the present invention, there is provided a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by a user. The present invention relates to a recommendation program used in a recommendation system provided. The recommendation program according to the ninth aspect of the present invention corresponds to the identifier of the user's favorite channel in the program ranking data for each channel in which the computer is associated with the channel identifier and the ranking of the program that can be reserved for the channel. The assigned program identifier is made to function as recommendation data output means for outputting as recommendation data.

  According to the present invention, it is possible to provide a recommendation system, a recommendation server, a user terminal, a recommendation method, and a recommendation program that can appropriately recommend a program to the user regardless of the usage history of the user.

It is a figure explaining the outline | summary of the recommendation provision method which concerns on embodiment of this invention. It is a system configuration figure of a recommendation system concerning a 1st embodiment of the present invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the 1st Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the content provision server which concerns on the 1st Embodiment of this invention. It is a figure explaining an example of data structure and data of user history data concerning a 1st embodiment of the present invention. It is a figure explaining an example of the data structure of the program ranking data for every channel which concerns on the 1st Embodiment of this invention, and data. It is a figure explaining the hardware constitutions and functional block of the converter which concern on the 1st Embodiment of this invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the 2nd modification of the 1st Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the content provision server which concerns on the 2nd modification of the 1st Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the converter which concern on the 2nd modification of the 1st Embodiment of this invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the 2nd Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the content provision server which concerns on the 2nd Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the converter which concern on the 2nd Embodiment of this invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the 3rd Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the content provision server which concern on the 3rd Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the converter which concern on the 3rd Embodiment of this invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the modification of the 3rd Embodiment of this invention. It is a system configuration figure of a recommendation system concerning a 4th embodiment of the present invention. It is a sequence diagram explaining the process of the recommendation system which concerns on the 4th Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the broadcast provision server which concern on the 4th Embodiment of this invention. It is a figure explaining the hardware constitutions and functional block of the converter which concern on the 4th Embodiment of this invention.

  Next, embodiments of the present invention will be described with reference to the drawings. In the following description of the drawings, the same or similar parts are denoted by the same or similar reference numerals.

(Overview)
An outline of the recommendation providing method according to the embodiment of the present invention will be described. The recommendation providing method according to the embodiment of the present invention is used when recommending a program provided at a predetermined time and channel, such as a so-called television program.

  As shown in FIG. 1, in the recommendation system 5, the recommendation data output means 4 generates recommendation data 3 from the program ranking data 1 for each channel and the preference channel data 2.

  The program ranking data 1 for each channel is data in which, for example, the identifiers of programs that the user group has reserved for recording at each user terminal are collected for each channel. The program ranking data 1 for each channel is data in which a channel identifier is associated with an identifier of a program reserved for recording by a user group and program ranking data in the channel. The program ranking data is data in which an identifier of the program in a predetermined channel is associated with the ranking of the number of reserved recordings of the program by the user group. Here, the program identifier is information for identifying a program so that the user can record a program to be provided in the future. The program identifier may be a program unique ID for specifying a predetermined program from all channels and all programs, or may be information on a channel providing a program and date / time. It may be a combination.

  The preference channel data 2 is data including an identifier of a channel that matches the preference of the user A to be recommended. The preference channel data 1 may be an identifier of a channel registered as a channel that matches the user's preference in advance or a channel that is frequently viewed as a My Channel, or an operation such as recording or viewing by the user. It may be a channel identifier that appears frequently in the history. The preference channel data 2 may be a combination of these.

  The recommendation data 3 is data including an identifier of a program recommended to the target user A. The recommendation data 3 includes, for example, a predetermined number of high ranking program identifiers for each preference channel of the target user A.

  The recommendation data output unit 4 extracts program ranking data associated with the identifier of the favorite channel of the preference channel data 2 from the program ranking data 1 for each channel. The recommended data output means 4 outputs the identifier of the program included in the program ranking as recommended data 3.

  Here, in the preference channel data 2, an index value indicating a weight may be set for each preference channel. In this case, the recommendation data output means 4 may generate the recommendation data 3 by associating more program identifiers with respect to preference channels with higher weights.

  As described above, the recommendation providing method according to the embodiment of the present invention extracts and recommends, for a predetermined user's preference channel, programs that are reserved for recording by other users on the preference channel.

  In general, EPG (Electronic Program Guide) is used in content distribution such as television. In this EPG, etc., there is a case where a genre of a program is associated with each program, or there is a case where metadata such as a genre is associated with each program. It is also possible to generate and recommend. However, such a ranking for each genre is not appropriate in a situation where there are hundreds of channels such as cable television.

  This is because, in a multi-channel situation, each channel is not a set of conventional genres, but has a classification tailored to a finer individual preference.

  Specifically, when there are hundreds of channels, genres may overlap in a plurality of channels. For example, consider a case where the user's preference is soccer. Of the hundreds of channels, there are many channels related to “sports” and many channels related to “soccer”. In such a case, the user is not limited to the genre of “soccer” but tends to prefer a soccer program of a predetermined channel.

  The recommendation method according to the embodiment of the present invention focuses on the point that individual preferences can be expressed by channel information in this way. The channel selected by the user expresses the user's preference. Therefore, it is possible to expect a certain recommendation accuracy based on a small number of user histories without accumulating a large number of user histories in order to identify user preferences. Therefore, the recommendation method according to the embodiment of the present invention is particularly effective in a period immediately after the user starts using or until a highly accurate recommendation logic can be used.

  The concept according to the embodiment of the present invention will be described as the first to fourth embodiments.

(First embodiment)
In the first embodiment, the content providing server 100 holds the program ranking data for each channel and holds the operation history of the user of the recommendation system 10. The content providing server 100 identifies the user's favorite channel based on the operation history, and provides the conversion device 200 with the program ranking of the favorite channel.

  With reference to FIG. 2, the system configuration of the recommendation system 10 according to the first exemplary embodiment will be described.

  The recommendation system 10 includes a content providing server 100, a first home system 300a, a second home system 300b, and a third home system 300c. The content providing server 100 can communicate with each of the first home system 300a, the second home system 300b, and the third home system 300c via the communication network 11 such as the Internet. .

  In the present specification, the first home system 300a, the second home system 300b, and the third home system 300c may be simply referred to as the home system 300 unless they are particularly distinguished. In the example illustrated in FIG. 2, the case where the first to third home systems 300 are provided will be described, but the number is not limited thereto.

  The content providing server 100 provides a program at a predetermined time to the in-home system 300 via the communication network 11 according to a predetermined program guide on each of a plurality of channels. The content providing server 100 further provides recommendation data of a program provided at a predetermined time and channel to the conversion device 200 used by the user. In the present specification, the content providing server 100 may be referred to as a recommendation server.

  The home system 300 includes a conversion device 200, an input device 301, and a display device 302. The input device 301 is a device that gives a user instruction to the conversion device 200, such as a remote control or a button. The user operates the input device 301 to input information such as an identifier of a program that the user wants to reserve for recording to the conversion device 200, for example. The display device 302 is a television, for example. The user views the content output to the display device 302 and browses the program guide and recommendation data.

  The conversion device 200 requests content from the content providing server 100 in accordance with a user instruction input from the input device 301. The conversion device 200 further processes the data received from the content providing server 100 and outputs it to the display device 302. The conversion device 200 transmits information necessary for outputting the recommendation data to the content providing server 100 and outputs the recommendation data to the display device 302 according to the information received from the content providing server 100. The user can make a recording reservation for a program of a channel that matches the user's preference according to the recommendation data. In the present specification, the conversion device 200 may be referred to as a user terminal.

  In the embodiment of the present invention, a case where the content providing server 100 implements a function of a recommendation server that provides user recommendation data will be described, but the present invention is not limited thereto. For example, a recommendation server in a casing different from the content providing server 100 may provide recommendation data. Moreover, although the case where the converter 200 implement | achieves the function of the user terminal which displays recommendation data to a user is demonstrated, it is not restricted to this. For example, a user terminal including an information device such as a personal computer or a smartphone in a casing different from the conversion device 200 may display the recommendation data to the user.

  With reference to FIG. 3, the process in the recommendation system 10 which concerns on 1st Embodiment is demonstrated.

  In step S101, the conversion apparatus 200 transmits a recommendation request signal to the content providing server 100. This recommendation request signal includes the user identifier of the conversion device 200.

  Upon receiving the user identifier, the content providing server 100 generates user preference channel data 112 based on the user identifier in step S102. In step S103, the content providing server 100 extracts the program ranking data of the user's favorite channel generated in step S102 from the program ranking data 113 for each channel, and generates recommendation data 114 based on the extracted program ranking data.

  When the content providing server 100 generates the recommendation data 114, in step S104, the content providing server 100 transmits a recommendation response signal corresponding to step S101 to the conversion apparatus 200. This recommendation response data includes recommendation data 114.

  A content providing server 100 according to the first embodiment will be described with reference to FIG. The content providing server 100 is a computer that includes a storage device 110, a control device 120, and a communication control device 130. The content providing server 100 implements each data and each unit shown in FIG. 4 by executing a content providing program for realizing a predetermined function.

  The storage device 110 stores user history data 111, preference channel data 112, program ranking data 113 for each channel, and recommendation data 114.

  The user history data 111 is data on the history of operations performed by the user on the conversion device 200 in the home system 300. Particularly in the embodiment of the present invention, as shown in FIG. 5, the user history data 111 is data in which a user identifier is associated with an identifier of a channel to be operated by the user. The content providing server 100 collects operation history information from the conversion devices 200 of a plurality of users and stores it in the storage device 110 as user history data 111.

  Here, the user's operation is an operation for recording reservation or viewing instruction input by the user via the conversion device 200. Therefore, the channel identifier of the user history data 111 includes the identifier of the channel of the program that the user reserved for recording or watched. The user history data 111 may include information such as the identifier of the program to be operated, the start date and the end date of the program, in addition to the identifier of the channel to be operated by the user.

  The preference channel data 112 is data including an identifier of a user's preference channel. The preference channel data 112 is output by preference channel data output means 122 described later. The preference channel data 112 may include an identifier of one preference channel regarding a predetermined user, or may include an identifier of two or more preference channels.

  The program ranking data 113 for each channel is data in which a channel identifier is associated with a ranking of programs that can be reserved for recording on the channel. In the program ranking data 113 for each channel, as shown in FIG. 6, the ranking of the program is associated with each channel. For example, in the program ranking data 113a of the first channel, the program identifier of the first ranking is “P301” and the program identifier of the second ranking is “P005”. The per-channel program ranking data 113 includes identifiers of popular programs for channels that can be provided by the content providing server 100. In the example shown in FIG. 6, the case where the program is specified using the program identifier has been described, but the present invention is not limited to this. For example, in the program ranking data 113 for each channel, the program may be specified by the channel providing the program and the date and time information.

  Here, the method for generating the program ranking data 113 for each channel is not limited. When distributing content via a communication network, the user operates browsing and recording using program information provided by the content providing server 100. Therefore, the content providing server 100 can accumulate information on programs that the user has browsed or recorded. The content providing server 100 can generate popular recording programs, recording reservation rankings, and the like by accumulating a number of user operations and recording histories. For example, after the content providing server 100 reads out each user history and performs filtering on a channel basis, the program may be given a ranking in descending order of the number of reservations, or the ranking may be given by other methods.

  The recommendation data 114 is data including an identifier of a program to be recommended to the user. The recommendation data 114 is output by recommendation data output means 123 described later.

  The control device 120 provides content to the home system 300 and also provides recommendation data 114 for recommending a program to the user. Here, the recommendation control means 121 for providing the recommendation data 114 will be described.

  The recommendation control unit 121 includes a preference channel data output unit 122 and a recommendation data output unit 123.

  The preference channel data output unit 122 outputs the preference channel data 112 including the identifier of the user's preference channel based on the user history data 111. The preference channel data output means 122 reads the user history data 111 from the storage device 110, and counts the number of records of the channel associated with the user for the recommendation target user. Furthermore, the preference channel data output means 122 specifies a predetermined number of channel identifiers in the descending order of the number of records. The preference channel data output unit 122 outputs the preference channel data 112 including the identifier of the preference channel with the channel identifier having a large number of records as the user preference channel.

  For example, the processing of the preference channel data output unit 122 will be described with reference to the user history data 111 shown in FIG. Regarding the channel identifier associated with the user identifier “S001”, the channel with the largest number of records is the channel identifier “1”, and the channel with the next largest number is the channel identifier “10”. Therefore, when the two upper channels are set as the preference channels, the preference channel data output unit 122 outputs the channel identifiers “1” and “10” as the preference channel data 112.

  The recommendation data output means 123 outputs the ranking of the program associated with the identifier of the favorite channel indicated by the preference channel data 112 as the recommendation data 114 in the program ranking data 113 for each channel.

  In the above example, the preference channel data 112 holds channel identifiers “1” and “10” as preference channels. The recommendation data output unit 123 extracts the program ranking data associated with the channel identifiers “1” and “10” from the program ranking data 113 for each channel, and stores it in the storage device 110 as the recommendation data 114. Here, for each channel, identifiers of a predetermined number of programs may be output as recommendation data 114 in descending order of ranking.

  The recommendation data output unit 123 reads the recommendation data 114 from the storage device 110 and transmits the recommendation data 114 to the conversion device 200 via the communication control device 130 and the communication network 11.

  With reference to FIG. 7, the conversion apparatus 200 which concerns on 1st Embodiment is demonstrated. The conversion device 200 is a computer including a storage device 210, a controller 220, and a communication control device 230, and is a so-called set top box. The conversion apparatus 200 implements each data and each means shown in FIG. 7 by executing a program for realizing a predetermined function.

  The storage device 210 stores recommendation data 211. The recommendation data 211 is data transmitted from the content providing server 100.

  The controller 220 outputs content received from the content providing server 100 to the display device 302 and outputs recommendation data in accordance with an instruction from the input device 301 or the like. Here, the recommendation request means for realizing the function related to the recommendation will be described.

  The recommendation request unit 221 transmits a recommendation request signal to the content providing server 100 via the communication control device 230 at a predetermined timing. This recommendation request signal includes a user identifier. The recommendation request unit 221 receives a recommendation response signal corresponding to the recommendation request signal. This recommendation response signal includes recommendation data 211 including an identifier of a program to be recommended to this user. The recommendation request unit 221 stores the received recommendation data 211 in the storage device 210 and outputs it to the display device 302. The user can reserve a desired program with reference to the recommendation data 211 output to the display device 302.

  In the recommendation system 10 according to the first embodiment as described above, a user's preference channel can be specified, and a program that is popular in this preference channel can be easily recommended to the user. Thereby, even when there is little user history, a program can be recommended appropriately. Furthermore, the content providing server 100 according to the first embodiment can recommend a program based on the latest program ranking data 113 for each channel.

(First modification of the first embodiment)
In the first embodiment, a case has been described in which a plurality of channels output as user preference channels are handled equally, but weighting may be performed according to the user preference level.

  For example, in the user history data 111 shown in FIG. 5, for the user with the user identifier “S001”, the channel identifier “10” is associated with four records, whereas the channel identifier “1” is seven records. It is associated. From this, it can be seen that this user tends to prefer the channel with the channel identifier “1” over the channel with the channel identifier “10”.

  Therefore, in the modified example of the first embodiment, the recommendation data output unit 123, for the channel identifiers included more in the user history data 111, sets more program identifiers associated with the channel identifiers to the recommendation data. It outputs as 114. For example, based on the user history data 111 shown in FIG. 5, the recommendation data output unit 123 extracts the identifiers of the top seven programs from the program ranking data of the channel with the channel identifier “1”, and the channel identifier “10”. The identifiers of the top four programs are extracted from the program ranking data of the channels. The recommendation data output means 123 outputs the program identifier extracted in consideration of the weight in this way as recommendation data 114.

  According to such a modification of the first embodiment, it is possible to output the recommendation data 114 that better matches the user's preference.

(Second modification of the first embodiment)
In the first embodiment, the case where the user's preference channel is specified based on the user history data 111 has been described. However, in the second modification of the first embodiment, the my channel data 115 is further added. The case where a user's preference channel is specified based on it is demonstrated. The my channel data 115 is data including an identifier of a channel registered in advance as a channel that matches the user's preference or a channel that is frequently viewed, for example, as “my channel”. My channel data 115 may include identifiers of a plurality of channels.

  With reference to FIG. 8, the process in the recommendation system 10 which concerns on the 2nd modification of 1st Embodiment is demonstrated.

  In step S201, the conversion device 200a transmits a recommendation request signal to the content providing server 100a. This recommendation request signal includes the user identifier of the conversion device 200a and my channel data 115.

  Upon receiving the user identifier and my channel data 115, the content providing server 100a generates user preference channel data 112 based on the user identifier and my channel data 115 in step S202. The process of step S203 and step S204 is the same as the process of step S103 and step S104.

  With reference to FIG. 9, a content providing server 100a according to a second modification of the first embodiment will be described. Compared to the content providing server 100 shown in FIG. 4, the content providing server 100 a shown in FIG. 9 has a point that the storage device 110 further stores my channel data 115, and the recommendation control unit 121 a further includes a my channel data receiving unit 124. In addition to the differences, the processing of the recommendation data output means 123a is also different.

  The my channel data receiving unit 124 receives the my channel data 115 including the identifier of the channel of the user's preference from the conversion device 200a and stores it in the storage device 110.

  The recommendation data output means 123a outputs the recommendation data 114 based not only on the preference channel data 112 but also on the my channel data 115. That is, the recommendation data output means 123a extracts the identifiers of the upper predetermined number of programs from the program ranking data 113 for each channel for the channel identifier designated by the user as my channel, and outputs it to the recommendation data 114.

  At this time, there may be a case where the identifier of the channel designated by the user as the My Channel data overlaps with the identifier of the preference channel output by the preference channel data output unit 122. At that time, the recommendation data output means 123a may execute the process of extracting the program identifier for the common channel identifier once.

  With reference to FIG. 10, the conversion apparatus 200a which concerns on the 2nd modification of 1st Embodiment is demonstrated. 10 is different from the conversion device 200 shown in FIG. 5 in that the storage device 210 further stores my channel data 212. The conversion device 200a shown in FIG. The my channel data 212 is data including an identifier of a channel registered in advance as a channel that matches the user's own preference or a channel that is frequently viewed. The recommendation request unit 221a transmits a recommendation request signal to the content providing server 100a together with the user identifier and the my channel data 212.

  Also in the second modified example, as in the first modified example, the number of programs included in the recommendation data 114 may be weighted. For example, there may be a case where the identifier of the channel designated by the user as my channel data overlaps with the identifier of the favorite channel output by the preference channel data output unit 122. In this case, the recommendation data output means 123a may extract more program identifiers from the channel-specific program ranking data 113 for the matching channels and include them in the recommendation data 114.

(Second Embodiment)
In the second embodiment, the content providing server 100b holds program ranking data for each channel. The conversion device 200b specifies a preference channel based on the reserved program data 213 and transmits it to the content providing server 100b. The content providing server 100b provides the program ranking of the preference channel to the conversion device 200b.

  With reference to FIG. 11, the process in the recommendation system 10 which concerns on 2nd Embodiment is demonstrated.

  In step S <b> 301, the conversion device 200 b specifies a preference channel identifier from the reserved program data 213, and generates preference channel data 214. In step S302, the conversion device 200b transmits a recommendation request signal to the content providing server 100b. This recommendation request signal includes the preference channel data 214 generated in step S301.

  When the content providing server 100b receives the preference channel data, in step S303, the content providing server 100b extracts the program ranking data corresponding to the user's favorite channel identifier received in step S302 from the program ranking data 113 for each channel. Then, recommendation data 114 is generated based on the extracted program ranking data.

  When the content providing server 100b generates the recommendation data 114, in step S304, the content providing server 100b transmits a recommendation response signal corresponding to step S301 to the conversion device 200b. This recommendation response data includes recommendation data 114.

  With reference to FIG. 12, a content providing server 100b according to the second embodiment will be described.

  The storage device 110 stores preference channel data 112, program ranking data 113 for each channel, and recommendation data 114.

  The preference channel data 112 is output by preference channel data receiving means 125 described later.

  The program ranking data 113 for each channel and the recommendation data 114 are the same as those described with reference to FIG. 4 in the first embodiment.

  The control device 120 provides content to the home system 300 and also provides recommendation data 114 for recommending a program to the user. Here, the recommendation control means 121b related to provision of the recommendation data 114 will be described.

  The recommendation control unit 121b includes a preference channel data reception unit 125 and a recommendation data output unit 123b.

  The preference channel data receiving unit 125 receives the preference channel data 112 from the conversion device 200b.

  The processing of the recommendation data output unit 123b is the same as that of the first embodiment. Similarly to the second modification of the first embodiment, when the preference channel of the preference channel data 112 includes a weight, for each preference channel, the number of program identifiers corresponding to the weight is set. The recommendation data 114 may be output in association therewith. The recommendation data output means 123b transmits the recommendation data 114 generated in this way to the conversion device 200b via the communication control device 130 and the communication network 11.

  A conversion apparatus 200b according to the second embodiment will be described with reference to FIG.

  The storage device 210 stores reserved program data 213, preference channel data 214, and recommendation data 211. The recommendation data 211 is the same as that described with reference to FIG. 7 in the first embodiment.

  The reserved program data 213 is data including a channel identifier of at least one program to be recorded by the user. The reserved program data 213 is data for a user to reserve recording of a content program to be provided in the future. Generally, the reserved program data includes, for one reserved program, an identifier of the program, an identifier of the channel of the program, information on a program provision date and time, and the like. The reserved program data 213 may not only include a channel identifier, but the reserved program data 213 may hold a program identifier, and the channel identifier may be specified from the program identifier.

  The preference channel data 214 is data including an identifier of the user's preference channel. The preference channel data 214 may associate the preference channel identifier with a weight related to the preference channel. The preference channel data 214 may include an identifier of one preference channel for a predetermined user, or may include identifiers of two or more preference channels.

  The controller 220 outputs the content received from the content providing server 100b to the display device 302 and the recommendation data in accordance with an instruction from the input device 301. Here, the preference channel data generation unit 222b and the recommendation request unit 221b that realize the function related to the recommendation will be described.

  The preference channel data generation unit 222b generates the preference channel data 214 including the identifier of the user's preference channel based on the reserved program data 213, and stores the generated preference channel data 214 in the storage device 210. The preference channel data generation unit 222b refers to the reserved program data 213, identifies the channel of the program to be reserved, and outputs the identifier of the channel having a large number of reserved programs as the identifier of the preference channel.

  The preference channel data generation unit 222b may generate the preference channel data 214 by associating a weight with the identifier of the preference channel according to the number of reserved programs. For example, in the reserved program data 213, the channel identifier “10” is associated with four records, whereas the channel identifier “1” is associated with seven records. Therefore, the preference channel data generation unit 222b generates preference channel data 214 in which the channel identifier “1” is associated with a weight value larger than the weight of the channel identifier “10”.

  The recommendation request unit 221b transmits a recommendation request signal to the content providing server 100b via the communication control device 230 at a predetermined timing. This recommendation request signal includes preference channel data 214. The recommendation request unit 221b receives a recommendation response signal corresponding to the recommendation request signal. This recommendation response signal includes recommendation data 211 including an identifier of a program to be recommended to this user. The recommendation request unit 221b stores the received recommendation data 211 in the storage device 210 and outputs it to the display device 302. The user can reserve a desired program with reference to the recommendation data 211 output to the display device 302.

  Here, when the weight is set in the preference channel data 214, more program identifiers are associated with the preference channel having a larger weight in the content providing server 100b. Thereby, the recommendation data 114 that matches the user's preference can be output.

  Also in the recommendation system 10 according to the second embodiment, it is possible to specify a user's preference channel and easily recommend a program that is popular in the preference channel to the user. Thereby, even when there is little user history, a program can be recommended appropriately.

  Furthermore, since the conversion device 200b according to the second embodiment generates the preference channel data 214, it is not necessary to hold user history data as in the first embodiment. Thereby, in the recommendation system 10 whole, a system can be stably operated regardless of the number of conversion devices.

(Third embodiment)
In the third embodiment, the content providing server 100c retains the program ranking data for each channel, receives the reserved program data 116 from the conversion device 200c, and specifies a favorite channel based on the reserved program data 116. . The content providing server 100c provides the program ranking of the preference channel to the conversion device 200c.

  With reference to FIG. 14, the process in the recommendation system 10 which concerns on 3rd Embodiment is demonstrated.

  In step S401, the conversion device 200c transmits a recommendation request signal to the content providing server 100c. This recommendation request signal includes reserved program data 213.

  When the content providing server 100c receives the reserved program data 213, the content providing server 100c specifies the identifier of the favorite channel from the reserved program data 116 and generates the favorite channel data 112 in step S402. In step S403, the content providing server 100c updates the ranking of the program ranking data 113 for each channel based on the reserved program data 116 received in step S401. In step S404, the content providing server 100c extracts program ranking data corresponding to the user's favorite channel identifier specified in step S402, and generates recommendation data 114 based on the extracted program ranking data. Further, in step S405, the content providing server 100c deletes the program identifier included in the reserved program data 116 received in step S401 from the program identifier included in the recommendation data 114 created in step S404. Update.

  When the content providing server 100c generates the recommendation data 114, in step S406, the content providing server 100c transmits a recommendation response signal corresponding to step S401 to the conversion device 200c. This recommendation response data includes the recommendation data 114 updated in step S405.

  A content providing server 100c according to the third embodiment will be described with reference to FIG.

  The storage device 110 stores reserved program data 116, preference channel data 112, program ranking data 113 for each channel, and recommendation data 114.

  The reserved program data 116 is output by reserved program data receiving means 126 described later. The preference channel data 112 is output by preference channel data output means 122c described later. The reserved program data 116 preferably further associates the identifier of the program to be recorded with the channel identifier of the program.

  The program ranking data 113 for each channel and the recommendation data 114 are the same as those described with reference to FIG. 4 in the first embodiment.

  The control device 120 provides content to the home system 300 and also provides recommendation data 114 for recommending a program to the user. Here, the recommendation control means 121c concerning provision of the recommendation data 114 is demonstrated.

  The recommendation control unit 121c includes a reserved program data reception unit 126, a preference channel data output unit 122c, a ranking update unit 127, and a recommendation data output unit 123c.

  The reserved program data receiving means 126 receives the reserved program data 116 from the conversion device 200c.

  The preference channel data output unit 122cc outputs the preference channel data 112 including the identifier of the user's preference channel based on the reserved program data 116. The method for outputting the preference channel data 112 from the reserved program data 116 is the same as in the second embodiment.

  The ranking update unit 127 updates the program ranking data 113 for each channel based on the reserved program data 116. The ranking update unit 127 updates the reservation target program identifier included in the reserved program data 116 by incrementing the number of reservations held in advance. The ranking update unit 127 calculates the ranking of the reserved program for each channel again based on the updated number of reservations, and updates the program ranking data 113 for each channel.

  The recommendation data output means 123c outputs, as recommendation data 114, the program identifier associated with the identifier of the favorite channel indicated by the preference channel data 112 in the program ranking data 113 for each channel.

  At this time, the recommendation data output means 123c may output the recommendation data 114 after deleting the program identifier included in the reserved program data 116 among the program identifiers included in the recommendation data 114. Thereby, it can avoid recommending the program which the user has already reserved, and can recommend efficiently by recommending a new program. The recommendation data output means 123c transmits the recommendation data 114 generated in this way to the conversion device 200c via the communication control device 130 and the communication network 11.

  Also in the third embodiment, the recommended data output means 123c uses, as recommended data 114, the identifiers of more programs associated with the channel identifiers for the channel identifiers included more in the reserved program data 116. It may be output.

  With reference to FIG. 16, the conversion apparatus 200c which concerns on 3rd Embodiment is demonstrated.

  The storage device 210 stores reserved program data 213 and recommendation data 211. The recommendation data 211 is the same as that described with reference to FIG. 7 in the first embodiment. As described in the second embodiment, the reserved program data 213 is data including a channel identifier of at least one program to be recorded by the user.

  The controller 220 outputs the content received from the content providing server 100 c to the display device 302 and also the recommendation data 211 in accordance with an instruction from the input device 301. Here, the recommendation requesting unit 221c for realizing the function related to the recommendation will be described.

  The recommendation request unit 221c transmits a recommendation request signal to the content providing server 100c via the communication control device 230 at a predetermined timing. This recommendation request signal includes reserved program data 213. The recommendation request unit 221c receives a recommendation response signal corresponding to the recommendation request signal. This recommendation response signal includes recommendation data 211 including an identifier of a program to be recommended to this user. The recommendation request unit 221c stores the received recommendation data 211 in the storage device 210 and outputs it to the display device 302. The user can reserve a desired program with reference to the recommendation data 211 output to the display device 302.

  Here, the recommendation request unit 221c may extract identifiers of a predetermined number of programs, for example, about 10 from among the identifiers of programs to be reserved included in the reserved program data 213, and may transmit them to the content providing server 100c. .

  Also in the recommendation system 10 according to the third embodiment, it is possible to specify a user's preference channel and easily recommend a program that is popular in this preference channel to the user. Thereby, even when there is little user history, a program can be recommended appropriately.

  Furthermore, since the content providing server 100c according to the third embodiment generates the preference channel data 112 every time the reserved program data 116 is received, it is necessary to hold the user history data as in the first embodiment. Absent. Thereby, in the recommendation system 10 whole, a system can be stably operated regardless of the number of conversion devices. Furthermore, in the content providing server 100c according to the third embodiment, since the reserved program data 116 is received from the conversion device 200c, the preference channel is specified from the reserved program data 116 and the identifier of the already reserved program is deleted. The recommended data 115 can be generated.

  Also in the third embodiment, a weight may be associated with a favorite channel according to the number of channels corresponding to the reserved program data 116 and reflected in the recommendation data 114.

(Modification of the third embodiment)
In the third embodiment, the case where the preference channel data 112 is generated from the reserved program data 116 has been described. On the other hand, a case where the content providing server 100c generates the preference channel data 112 with reference to the my channel data 115 will be described as a modified example. Here, my channel data 115 has been described with reference to FIG. 9 as a second modification of the first embodiment described.

  With reference to FIG. 17, the process in the recommendation system 10 which concerns on the modification of 3rd Embodiment is demonstrated.

  In step S451, the conversion device 200c transmits a recommendation request signal to the content providing server 100c. This recommendation request signal includes reserved program data 213 and my channel data 212.

  When the content providing server 100c receives the reserved program data 116 and the my channel data 115, the content providing server 100c identifies the favorite channel identifier from the reserved program data 116 and the my channel data 115 and generates the favorite channel data 112 in step S452. The processing from step S453 to step S456 is the same as the processing from step S402 to step S406.

  In this modified example, the preference channel data output unit 122c of the content providing server 100c specifies the identifier of the preference channel based on at least one of the reservation information data 116 and the my channel data 115. For example, when the reservation information data 116 does not include a program identifier or when the number of included program identifiers is less than a predetermined number, the preference channel data output unit 122c determines the channel identifier included in the my channel data 115. You may specify as an identifier of a favorite channel. Further, the preference channel data output unit 122c may specify the identifier of the channel related to both the reservation information data 116 and the my channel data 115 as the preference channel identifier.

  Also in the modification of the third embodiment, weights may be associated with preference channels according to the number of channels corresponding to the reserved program data 116 and reflected in the recommendation data 114.

(Fourth embodiment)
In the first embodiment to the third embodiment, the case where the broadcast providing server 400 and the conversion device 200 are connected by the communication network 11 capable of bidirectional communication has been described. On the other hand, in the fourth embodiment, a case where the broadcast providing server 100 provides a program to the conversion device 200 via broadcast radio waves will be described. The broadcast radio waves may be broadcast forms such as multimedia broadcast, one-seg broadcast, terrestrial digital television broadcast, and the form is not limited. Further, as the conversion device 200d, a TV capable of receiving these TV broadcasts, a TV built-in recorder, a dedicated recorder, and the like are also conceivable.

  In the fourth embodiment, the case where the broadcast providing server 400 includes predetermined data in the broadcast radio wave and distributes the data to the conversion device 200d will be described. For example, any mechanism can be applied as long as data can be transmitted from the server to the conversion device 200d. For example, the present invention can be applied to IP television and multi-channel distribution.

  With reference to FIG. 18, the recommendation system 12 which concerns on the 4th Embodiment of this invention is demonstrated.

  The recommendation system 12 includes a broadcast providing server 400, a first home system 310a, a second home system 310b, and a third home system 310c. In the present specification, the first home system 310a, the second home system 310b, and the third home system 310c may be simply referred to as the home system 310 unless they are particularly distinguished. In the example illustrated in FIG. 18, the case where the first to third home systems 310 are provided will be described, but the number is not limited thereto.

  The broadcast providing server 400 provides a program at a predetermined time to the in-home system 310 via a broadcast radio wave according to a predetermined program guide on each of a plurality of channels. The broadcast providing server 400 further provides recommendation data of a program provided at a predetermined time and channel to the conversion device 200d used by the user. In the present specification, the broadcast providing server 400 may be referred to as a recommendation server.

  The home system 310 includes a conversion device 200d, an input device 301d, and a display device 302d. The input device 301d is a device that gives a user instruction to the conversion device 200d, such as a remote control or a button. For example, the user inputs information such as an identifier of a program that the user wants to make a recording reservation to the conversion device 200 by operating the input device 301d. The display device 302 is a television, for example. The user views the content output to the display device 302 and browses the program guide and recommendation data.

  The conversion device 200d processes program data of a predetermined channel among the channels provided from the broadcast providing server 400 in accordance with a user instruction input from the input device 301d, and outputs the processed data to the display device 302d. Also, the conversion device 200d outputs the program ranking data associated with the user's favorite channel among the program ranking data 215 for each channel provided from the broadcast providing server 400 to the display device 302d as recommendation data 211.

  In the fourth embodiment of the present invention, a case where the broadcast providing server 400 implements a function of a recommendation server that provides user recommendation data will be described, but the present invention is not limited to this. For example, a recommendation server in a housing different from the broadcast providing server 400 may provide recommendation data. Moreover, although the case where the converter 200d implement | achieves the function of the user terminal which displays recommendation data to a user is demonstrated, it is not restricted to this. For example, a user terminal including an information device such as a personal computer or a smartphone in a housing different from the conversion device 200d may display the recommendation data to the user.

  With reference to FIG. 19, the process in the recommendation system 12 which concerns on 4th Embodiment is demonstrated.

  In step S <b> 501, the conversion device 200 d specifies the preference channel identifier from the reserved program data 213, and generates preference channel data 214.

  On the other hand, in step S502, the broadcast providing server 400 creates a ranking of programs that can be reserved for each channel, and generates program ranking data 411 for each channel. In step S503, the broadcast providing server 400 transmits the per-channel program ranking data 411 generated in step S502 to the conversion device 200d.

  When the program ranking data 215 for each channel is received from the broadcast providing server 400, the conversion device 200d deletes the program identifier included in the reserved program data 213 from the program ranking data 215 for each channel in step S504. Further, in step S505, the conversion apparatus 200d extracts data on the preference channel specified in step S501 from the output data in step S504, and outputs the extracted data to the display apparatus 302d.

  With reference to FIG. 20, a broadcast providing server 400 according to the fourth embodiment will be described.

  The storage device 410 stores program ranking data 411 for each channel. The program ranking data 411 for each channel is data in which a channel identifier is associated with a ranking of programs that can be reserved for recording on the channel. The program ranking data 411 for each channel is the same as that described with reference to FIG. 4 in the first embodiment.

  The control device 420 provides contents to the home system 310 and also provides program ranking data 411 for each channel for recommending programs to the user. Here, the recommendation control means 421 related to the recommendation will be described.

  The recommendation control unit 421 includes a program ranking data output unit 422.

  The program ranking data output means 422 outputs the program ranking data 411 for each channel to the conversion device 200d. Here, the program ranking data output means 422 may transmit the program ranking data 411 for each channel together with the EPG periodically using, for example, a vacant area of broadcast radio waves, or together with IP packets, metadata, and the like. You may send it. The program ranking data output means 422 may distribute the ranking of all programs for each channel, or may distribute the ranking of a predetermined number of programs for each channel. A ranking may be distributed. Here, the program ranking data output means 422 may output the program identifier and the identifier of the channel that broadcasts the program in association with each other.

The program ranking data output means 422 periodically distributes the program ranking data 411 for each channel. At this time,
In the present embodiment, broadcast providing server 400 distributes a broadcast radio wave including content. Therefore, as in the first to third embodiments, the broadcast providing server 400 cannot receive data from the conversion device 200d and distribute data that meets the request. Therefore, it is preferable that the broadcast providing server 400 transmits the program ranking of each broadcastable channel to the conversion device 200d so as to be compatible with all users.

  With reference to FIG. 21, a conversion apparatus 200d according to the fourth embodiment will be described.

  The storage device 210 stores reserved program data 213, preference channel data 214, channel-by-channel program ranking data 215, and recommendation data 211. The reserved program data 213 and the preference channel data 214 are the same as those described with reference to FIG. 13 in the third embodiment. The program ranking data 215 for each channel is the same as that described with reference to FIG. 6 in the first embodiment. The recommendation data 211 is the same as that described with reference to FIG. 7 in the first embodiment.

  The controller 220 outputs the content received from the broadcast providing server 400 to the display device 302d and the recommendation data 211 in accordance with an instruction from the input device 301d. Here, means for realizing the function related to the recommendation will be described. The controller 220 includes preference channel generation means 222d, program ranking data acquisition means 223d, and recommendation output means 224d.

  The preference channel generation unit 222d generates preference channel data 214 including an identifier of the user's preference channel based on the reserved program data 213 and stores the preference channel data 214 in the storage device 210. Various methods are conceivable for generating a favorite channel. For example, as described in the second embodiment, a method in which a frequent channel in the reserved program data 213 is used as a favorite channel is conceivable. In addition, a method of using My Channel or a combination of these can be considered. Any means or method may be used as long as the preference channel can be specified.

  The program ranking data acquisition unit 223d acquires the program ranking data 215 for each channel from the broadcast providing server 400 and stores it in the storage device 210. When the program ranking data 215 for each channel is included in the broadcast radio wave and distributed, the program ranking data acquisition unit 223d extracts the data from the broadcast radio wave and stores it.

  The recommendation output means 224 d outputs, as recommendation data 211, the program identifier associated with the identifier of the preference channel indicated by the preference channel data 214 in the channel-specific program ranking data 215. In the present embodiment, conversion device 200d receives the program ranking of each channel from broadcast providing server 400 via broadcast radio waves. Therefore, the recommendation output means 224d extracts the identifier of the program included in the program ranking of the user's favorite channel from the received program ranking of each channel, and outputs it as recommendation data 211. At this time, the recommendation output unit 224d may delete the program identifier included in the reserved program data 213 among the program identifiers included in the recommendation data 211 and output the recommendation data 215.

  Also in the recommendation system 12 according to the fourth embodiment, it is possible to specify a user's preference channel and easily recommend a program popular in the preference channel to the user. Thereby, even when there is little user history, a program can be recommended appropriately. Further, since the burden on the broadcast providing server 400 is small, the present invention can be applied regardless of the number of conversion devices 200d.

  Furthermore, the broadcast providing server 100c according to the fourth embodiment transmits the program ranking of each channel to the conversion device 200d, and the conversion device 200d extracts and outputs the program ranking of the favorite channel. Thereby, even when the server and the conversion device are not connected via a network capable of bidirectional communication, the recommendation method according to the embodiment of the present invention can be applied.

  Also in the fourth embodiment, weights may be associated with preference channels and reflected in the recommendation data 211 according to the number of channels corresponding to the reserved program data 213 and the like.

(Other embodiments)
As described above, the outline of the present invention and the first to fourth embodiments have been described. However, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. . From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, in each embodiment, the functions and data respectively implemented in the content providing server and the conversion device are merely examples, and the same function may be realized in the entire recommendation system. Moreover, you may implement | achieve by apparatuses other than a content provision server and a conversion apparatus.

  It goes without saying that the present invention includes various embodiments not described herein. Therefore, the technical scope of the present invention is defined only by the invention specifying matters according to the scope of claims reasonable from the above description.

1 program ranking data for each channel 2 preference channel data 3 recommendation data 10, 12 recommendation system 11 communication network 100 content providing server 110, 210, 410 storage device 111 user history data 112, 214 preference channel data 113, 411 program ranking data for each channel 114, 211 Recommendation data 115, 212 My channel data 116, 213 Reserved program data 120, 420 Controller 121, 421 Recommendation control means 122 Preference channel data output means 123 Recommendation data output means 124 My channel data reception means 125 Preference channel data reception Means 126 Reserved program data receiving means 127 Ranking update means 130, 230, 430 Communication system Control device 200 Conversion device 220 Controller 221 Recommendation request means 222 Preference channel data generation means 223 Program ranking data acquisition means 224 Recommendation output means 300, 310 Domestic system 301 Input device 302 Display device 400 Broadcast provision server 422 Program ranking data output means

Claims (15)

A recommendation system comprising a recommendation server for providing recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels having different genres, and a user terminal used by the user,
The user terminal is
A storage device for storing reserved program data including a channel identifier of at least one program to be recorded by the user;
Recommendation request means for transmitting the reserved program data to the recommendation server and receiving recommendation data of a program that can be reserved from the recommendation server,
The recommendation server is:
A storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel;
Reserved program data receiving means for receiving the reserved program data from the user terminal;
Preference channel data output means for outputting an identifier of the user's preference channel based on the reserved program data;
In the program ranking data for each channel, recommended data output means for outputting an identifier of a program associated with the identifier of the preference channel as recommended data;
A recommendation system characterized by comprising: A recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user,
A storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel;
Reserved program data receiving means for receiving reserved program data including a channel identifier of at least one program to be recorded by the user from the user terminal;
Preference channel data output means for outputting an identifier of the user's preference channel based on the reserved program data;
In the program ranking data for each channel, recommended data output means for outputting an identifier of a program associated with the identifier of the preference channel as recommended data;
A recommendation server comprising: The reserved program data associates an identifier of a program to be recorded with a channel identifier of the program,
The recommended data output means includes:
3. The recommendation server according to claim 2, wherein the identifier of the program included in the reserved program data is deleted from the program identifiers included in the recommendation data, and the recommendation data is output. 4. The recommendation data output means outputs, as the recommendation data, more program identifiers associated with the channel identifiers for channel identifiers more included in the reserved program data. The recommendation server according to 2 or 3. A recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user,
Program ranking data for each channel in which a channel identifier is associated with a ranking of programs that can be reserved for the channel,
A storage device that stores a user identifier and user history data in which the identifier of the channel to be operated by the user is associated;
A preference channel data output means for outputting an identifier of a user's preference channel based on the user history data;
In the program ranking data for each channel, recommendation data output means for outputting the ranking of the program associated with the identifier of the preference channel as recommendation data;
A recommendation server comprising: My channel data receiving means for receiving, from a user terminal, my channel data including an identifier of the user's favorite channel,
The recommendation server according to claim 5, wherein the preference channel data output means further outputs an identifier of the preference channel based on the my channel data. The recommendation data output means outputs, as the recommendation data, more program identifiers associated with the channel identifiers for more channel identifiers included in the user history data. 5. The recommendation server according to 5 or 6. A recommendation system comprising a recommendation server for providing recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels having different genres, and a user terminal used by the user,
The user terminal is
A storage device for storing reserved program data including a channel identifier of at least one program to be recorded by the user;
Preference channel data generating means for generating preference channel data including an identifier of the user's preference channel based on the reserved program data;
A recommendation request means for transmitting the preference channel data to the recommendation server and receiving recommendation data of a program that can be reserved from the recommendation server;
The recommendation server is:
A storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel;
Preference channel data receiving means for receiving the preference channel data from the user terminal;
In the program ranking data for each channel, recommendation data output means for outputting, as recommendation data, an identifier of a program associated with an identifier of a preference channel indicated by the preference channel data;
A recommendation system characterized by comprising: A recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres to a user terminal used by the user,
A storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel;
Preference channel data receiving means for receiving an identifier of the user's preference channel from the user terminal;
In the program ranking data for each channel, recommended data output means for outputting an identifier of a program associated with the identifier of the preference channel as recommended data;
A recommendation server characterized by comprising: A user terminal used by a user to connect to a recommendation server that outputs recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres ,
A storage device for storing an identifier of a user's preference channel ;
Program ranking data acquisition means for acquiring program ranking data for each channel in which a channel identifier and a ranking of a program that can be reserved for the channel are associated from the recommendation server;
In the program ranking data for each channel, recommended data output means for outputting an identifier of a program associated with the identifier of the preference channel as recommended data;
A user terminal comprising: The storage device further stores reserved program data including a channel identifier of at least one program to be recorded by the user,
The user terminal according to claim 10, further comprising: preference channel data generation means for generating preference channel data including an identifier of the user's preference channel based on the reserved program data. 12. The recommended data output means outputs the recommended data by deleting a program identifier included in the reserved program data from among program identifiers included in the recommended data. User terminal. A recommendation system comprising a recommendation server for providing recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels having different genres, and a user terminal used by the user,
A storage device that stores program ranking data for each channel in which a channel identifier is associated with a ranking of a program that can be reserved for the channel;
A storage device for storing an identifier of a user's preference channel ;
In the program ranking data for each channel, recommended data output means for outputting an identifier of a program associated with the identifier of the preference channel as recommended data;
A recommendation system comprising: A recommendation method used in a recommendation system comprising a recommendation server that provides recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by the user. And
Storing an identifier of the user's preference channel ;
In the program ranking data for each channel in which the identifier of the channel and the ranking of the program that can be reserved for the channel are associated with each other, outputting the identifier of the program associated with the identifier of the preferred channel as recommendation data;
A recommendation method comprising: A recommendation program used in a recommendation system comprising a recommendation server for providing recommendation data of a program provided on a predetermined channel from a multi-channel program including a plurality of channels with overlapping genres, and a user terminal used by a user. And
Computer
In the program ranking data for each channel that associates the channel identifier with the ranking of the program that can be reserved for the channel, the recommendation data output that outputs the identifier of the program associated with the identifier of the user's favorite channel as recommendation data A recommendation program characterized by functioning as a means.

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