JP5266981B2 - Electronic device, information processing method and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To effectively take advantage of correlative information between performers of a program to recommend the program. <P>SOLUTION: A DVR 100 produces a program table 40 from EPG data and a recording program, and produces a performer table 70 obtained by extracting performers from all programs, a co-performer table 90 correlated with each performer inside the performer table concerned, and a genre table 110 correlated with each co-performer inside the co-performer table 90 concerned based on the program table 40 concerned. The DVR 100 offers a performer genre property to each performer inside the performer table 70, further offers a correlated genre property to the performers inside the performer table 70 and the co-performers inside the co-performer table 90, and recommends the program based on the performer genre property or correlated genre property concerned and the above respective tables. <P>COPYRIGHT: (C)2010,JPO&amp;INPIT

Description

  The present invention relates to an electronic device capable of extracting and processing information from an electronic program guide (EPG), an information processing method and a program in the electronic device.

  Conventionally, a television apparatus and a recording / reproducing apparatus extract information related to a program from an EPG by, for example, morphological analysis, and recommend a program to a user based on the extracted information.

  For example, in the following Patent Document 1, when one program in the program guide is designated by the user, a program or user related to the designated program is selected based on each selection criterion such as genre, performer, and keyword. A program guide server that displays recommended programs as programs that meet the user's preferences is described.

  Further, in Patent Document 2 below, based on the preference information weighted according to the viewer's preference for each electronic program guide information such as genre, channel, performer, etc., and according to the viewer's preference A program recording / playback apparatus for recording a program that the user has not watched in the past is described.

JP 2007-181067 A (paragraph [0050], FIG. 6 etc.) JP 2006-80974 A (paragraph [0015], FIG. 4 etc.)

  By the way, usually, a plurality of performers appear in a program. The user may also be interested in other performers who have performed with the performer in which the user is interested in a program. However, in the techniques described in Patent Documents 1 and 2 above, other programs in which the same performers as the performers of a certain program can be recommended to the user, but the connection between the co-stars is related. Information cannot be grasped. Therefore, with respect to the performers, the user can only receive program recommendations for each performer who is interested, and the range of program recommendations is limited.

  In view of the circumstances as described above, an object of the present invention is to provide an electronic device, an information processing method, and a program capable of recommending a program by effectively utilizing correlation information between performers of the program.

In order to solve the above-described problem, an electronic device according to an embodiment of the present invention includes a reception unit, a reproduction unit, a storage unit, a first generation unit, a second generation unit, and an output unit. Have.
The receiving means receives a plurality of programs and electronic program guide information including program name information and performer name information of the plurality of programs.
The reproduction means reproduces the received program.
The storage means stores the received electronic program guide information for a predetermined period.
The first creating means extracts the performer name information of the plurality of programs from the stored electronic program guide information and creates a performer table.
The second creation means, for each performer in the performer table from the stored electronic program guide information, program name information of the plurality of programs in which the performer appears and co-starring in the plurality of programs The performer name information of the performer is extracted, and a co-star table associated with the performer table is created.
The output means includes a program in which performers in the performer table appear based on the created performer table and co-star table, and a co-star in the co-star table associated with the performer. Display information for recommending a program to appear to the user is generated and output.
Here, the electronic device refers to, for example, a recording / reproducing device, a television device, a PC (Personal Computer), a portable device using a recording medium such as an HDD (Hard Disk Drive) / DVD / BD (Blu-ray Disc) as the storage means. Electric appliances such as type AV devices, mobile phones, and game devices. The program and electronic program guide information may be received as a broadcast wave such as digital broadcast, or may be received as an IP packet via a network, for example, in a so-called IP broadcast service. Therefore, the receiving means may be an antenna, a tuner, or the like, or a network interface. The program includes not only video data scheduled to be broadcast or transmitted at a predetermined time but also video data that can be received on demand. The predetermined period is, for example, one week, one month, one year, etc., but is not limited thereto. The reproduction means is a video / audio processing unit such as a decoder, for example.
The first and second creating means may be configured by either software (program) or hardware (circuit). Further, the first and second creation means may be configured as a single software or hardware, or may be configured as separate software or hardware. The performer table may have an ID in addition to text information as the performer name information. The co-star table may have performer name information as text information or ID information. Similarly, the co-star table may have the program name information as text information or ID information. The output means may be a display unit such as a display built in the electronic device, or may be an interface that outputs a display signal to a display device externally connected to the electronic device. The display information is, for example, various GUIs (Graphical User Interfaces) that receive user operation inputs for storing or reproducing a program to be recommended. The program in which the performers appear and the program in which the co-stars appear may be different programs or the same program.
With the above configuration, the electronic device creates a performer table based on the information of performers in a plurality of programs based on the electronic program guide information, and information on the co-stars who co-starred with the performers in the plurality of programs. A co-star table can be created in association. As a result, the electronic device generates display information that recommends not only other performers of a performer in a certain program but also performers of the performer who have co-starred with the performer in the program or other programs. can do. Therefore, the electronic device can broaden the range of program recommendation for the user by recommending the program based on the correlation between performers in various programs, and can further encourage the user's willingness to view the program. it can.

The electronic program guide information may have program genre attributes of the plurality of programs.
In this case, the electronic device extracts, from the electronic program guide information, the program genre attribute of the plurality of programs in which the co-star has appeared for each program name information in the co-star table and for each co-star. The apparatus may further include third creation means for creating a program genre table associated with the co-star table.
In this case, the output means may generate the display information based on the performer table, the co-star table, and the program genre table.
Here, genre includes, for example, news / report, sports, drama, music, variety, movie, animation, documentary / education, etc., and more detailed weather, economy, soccer, baseball, overseas drama, gourmet, etc. Includes sub-categories. The program genre table may have a program genre attribute as text information or an ID.
With this configuration, the electronic device can organize the correlation between performers for each genre of a program in which the performers appear. Therefore, the electronic device can recommend the appearance program of the performer having the correlation including the program genre attribute of the program to the user, and can further arouse the user's interest.

The electronic apparatus may further include an operation input unit that receives an operation input of a user.
In this case, the storage means may store the received program, program name information of the program, performer name information, and program genre attribute based on the operation input.
In this case, the reproduction means may reproduce the stored program.
In this case, the first creating means determines whether or not the performer name information of the stored program is registered in the performer table, and if it is determined that the performer name information is not registered, The extracted performer name information may be registered in the performer table.
In this case, the second creating means may create the co-star table based on the electronic program guide information and the program name information and performer information of the stored program.
In this case, the third creating means may create the program genre table based on the electronic program guide information and the program genre attribute of the stored program.
Here, the operation input is, for example, operation input for executing program storage and storage reservation, keyword input for storage reservation, or the like.
With this configuration, the electronic device can also register performer name information that does not exist in the electronic program guide information by registering the performer name information of the stored program in the performer table. The range of program recommendations can be further expanded. Moreover, since there is a high possibility that a performer interested in the user appears in the program stored based on the user's operation input, the electronic device uses the performer name information of the stored program. In this way, it is possible to recommend more performance programs of performers who are interested in the user.

The electronic device calculates the number of programs and the stored programs in the electronic program guide information in which each performer in the performer table appears for each genre of the program, and is equal to or greater than a predetermined threshold ratio. There may be further provided a first genre attribute assigning means for giving each performer a genre having a number of programs as the performer genre attribute of each performer.
In this case, the output means may generate the display information based on the performer genre attributes of the performers.
In this way, the electronic device uses the performer genre attribute of each performer as well as the program genre attribute of each performer and their co-star performers by giving the performer genre attribute to each performer. The program can be recommended in various ways. For example, the electronic device can recommend a program based on the correlation between the program genre attribute and the performer genre attribute. Here, a plurality of performer genre attributes may be assigned to one performer.

The output means includes the names of performers of the program being played and the names of the performers having the same performer genre attributes as the performers as search keyword candidates that can be selected by the operation input means. Display information for display along with each performer genre attribute of the performer and the co-star may be generated.
In this case, the electronic device further includes search means for searching for a program that matches one search keyword selected from the displayed search keyword candidates from the program in the electronic program guide information and the stored program. You may have.
In this case, the output means may generate the display information that accepts the user's operation input for storing or reproducing the searched program.
Thus, the user can view not only other programs in which performers of the program being played appear on one GUI, but also other performers (co-stars) having the same performer genre attributes as the performers. You can search for other programs to appear. Moreover, the user can refer to the performer genre attribute which each performer has in the search. Therefore, the user can search for other programs related to the performers of the program being reproduced more broadly and efficiently. The program being reproduced includes a program being received and a stored program. The user's operation input for storing the program includes not only an operation input for recording the program being received in the storage means but also an operation input for reserving recording of the program scheduled to be received.

The output means is based on a predetermined operation input of the user accepted by the operation input means, and the performer genre attribute of the performer in the performer table and the appearance of the co-star in the program in which the performer appears. The degree of similarity with the person genre attribute may be calculated. Further, the output means may generate the display information for recommending a program in which the performer co-stars with a performer having a performer attribute vector whose similarity is equal to or less than a predetermined value.
Thereby, the electronic device can pick up and recommend a co-star program with another performer having a low genre similarity with a certain performer. That is, the electronic device can recommend to the user a program with an unexpected combination of performers that perform together with performers who do not usually co-star, and can motivate the user to view.
The predetermined operation input by the user is, for example, an operation input for executing a program search using a performer in the performer table as a keyword or an operation for instructing to display recommended information of an unexpected recommended program. is there.
The similarity is represented, for example, by the inner product of the attribute vector when the program genre attribute and the performer genre attribute are each represented by an attribute vector. Here, the predetermined value is, for example, 0, but may be other values close to 0. When the performer genre attribute is the same, the value of the attribute vector is also the same.

The output means includes the program genre attribute of a program co-starred by a plurality of performers having the same performer genre attribute based on a predetermined operation input of the user accepted by the operation input means, and the plurality The degree of similarity of the performer with the performer genre attribute may be calculated. Furthermore, the output means may generate the display information for recommending a program in which the plurality of performers appear and the similarity is a predetermined value or less.
Thereby, the electronic device can pick up a program with a low genre similarity between the program content and each performer and recommend it to the user. That is, the electronic device can recommend to the user a program whose genre combination of program content and performer is unexpected for the user, and can further arouse the user's willingness to view. For example, if the performer genre attribute of each performer is music and the program genre attribute of the program to be performed is sports, it will be “unexpected” for the user to appear in the program. The similarity in this case is calculated by, for example, the inner product of attribute vectors of performer genre attributes. The predetermined operation input by the user is, for example, an operation input for executing a program search using a performer in the performer table as a keyword, an operation for instructing to display recommended information of an unexpected recommended program, or the like. It is.

In the electronic device, the program associated with the co-star is the number of the program in the electronic program guide information and the number of the stored programs in which the co-star associated with the performer in the performer table appears. A second calculation is performed for each genre attribute, and a program genre attribute having a number of programs equal to or greater than a predetermined threshold ratio is given to the performer and the co-star as a correlated genre attribute between the performer and the co-star You may further comprise a genre attribute provision means.
In this case, the output means may generate the display information for accepting a user operation input for storing or reproducing the program for each correlated genre attribute.
As a result, the electronic device recommends the program reflecting the intention that the program producer co-starred each performer associated with the correlated genre attribute, as compared to simply recommending the program for each program genre attribute. And can motivate the user to watch. For example, the electronic device can present to the user a co-star program of performers who frequently co-star together with information on which correlated genre attributes each performer is connected to.

Further, in this case, the output means receives the operation input of the user for continuously reproducing a plurality of programs in which the performer and the co-star that are given the predetermined correlated genre attribute respectively appear. May be generated.
Thereby, the electronic device can provide the electronic device as a video jukebox by continuously playing a plurality of programs in which each performer having a correlated genre attribute such as music plays.

The first genre attribute assigning means may assign the performer genre attribute to the performers for each predetermined period.
In this case, the storage means stores the performer genre attribute given to each performer in the performer table that appears in the program in association with the stored program for each predetermined period. Also good.
In this case, the output means includes, for each performer in the performer table, program names of the plurality of stored programs, the performer genre attributes respectively associated with the plurality of programs, and the plurality of programs. A list of co-star names in chronological order may be generated as the display information for receiving the user's operation input for selecting and playing a program in the list.
Thus, the electronic device displays each program in the performer table in a chronological order together with the performer genre attribute and the co-star name for each performer for a predetermined period of time. , Along with the transition of the performer genre attribute. That is, the user can select and reproduce a desired program of a desired performer while confirming the transition of the performer genre attribute of each performer and the information of the co-star at that time. For example, when an actor is turned into a member of the Diet, the performer genre attribute may change from a movie (drama) to news / report, and the user can know the change through the list of programs. This further increases the user's willingness to watch the program.

In this case, the output means may generate the list for a predetermined number of the programs before and after the change of the performer genre attribute.
Here, the predetermined number is, for example, 2, 3, 4, or the like, but is not limited thereto. Thereby, the user can browse a list of programs of a desired performer with a focus before and after the change of the performer genre attribute, and can select and reproduce the program. That is, the electronic device can make a user grasp the change of the performer genre attribute more efficiently.

A program recommendation method according to another aspect of the present invention includes a reception step, a storage step, a first creation step, a second creation step, and an output step.
The reception step receives a plurality of programs and electronic program guide information including program name information and performer name information of the plurality of programs.
The storing step stores the received electronic program guide information for a predetermined period.
In the first creating step, the performer name information of the plurality of programs is extracted from the stored electronic program guide information to create a performer table.
In the second creation step, for each performer in the performer table from the stored electronic program guide information, program name information of the plurality of programs in which the performer appears and co-starring in the plurality of programs The performer name information of the performer is extracted, and a co-star table associated with the performer table is created.
Based on the created performer table and the co-star table, the output step includes a program in which the performers in the performer table appear and a co-star in the co-star table associated with the performer. Display information for recommending a program to appear to the user is generated and output.
With this configuration, the electronic device can broaden the range of program recommendation for the user by recommending the program based on the correlation between performers in various programs, and the user's willingness to watch the program is further enhanced. be able to.

A program according to still another aspect of the present invention is for causing an electronic device to execute a reception step, a storage step, a first creation step, a second creation step, and an output step.
The reception step receives a plurality of programs and electronic program guide information including program name information and performer name information of the plurality of programs.
The storing step stores the received electronic program guide information for a predetermined period.
In the first creating step, the performer name information of the plurality of programs is extracted from the stored electronic program guide information to create a performer table.
In the second creation step, for each performer in the performer table from the stored electronic program guide information, program name information of the plurality of programs in which the performer appears and co-starring in the plurality of programs The performer name information of the performer is extracted, and a co-star table associated with the performer table is created.
Based on the created performer table and the co-star table, the output step includes a program in which the performers in the performer table appear and a co-star in the co-star table associated with the performer. Display information for recommending a program to appear to the user is generated and output.

  As described above, according to the present invention, it is possible to recommend a program by effectively utilizing the correlation information between performers of the program.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
First, a first embodiment of the present invention will be described.
FIG. 1 is a diagram showing a configuration of a digital video recorder according to the present embodiment.

  As shown in the figure, a digital video recorder 100 (hereinafter referred to as “DVR 100”) according to the present embodiment is connected to a television device 20 (hereinafter referred to as “TV 20”) as display means via a cable or wirelessly. ing.

  The DVR 100 includes a digital tuner 1, a demodulator 2, a demultiplexer 3, a decoder 4, a recording / reproducing unit 5, an HDD (Hard Disk Drive) 8, an optical disc drive 9, and a communication unit 11. The DVR 100 includes a central processing unit (CPU) 12, a read only memory (ROM) 13, and a random access memory (RAM) 14. The DVR 100 further includes an operation input unit 15, a graphic control unit 16, a video D / A (Digital / Analog) converter 17, and an audio D / A (Digital / Analog) converter 18.

  The digital tuner 1 selects a specific channel of digital broadcasting through an antenna (not shown) under the control of the CPU 12 and receives a broadcast signal including program data. This broadcast signal is, for example, an MPEG stream encoded in the MPEG-2 TS format, but is not limited to this format. The demodulator 2 demodulates the modulated broadcast signal.

  The demultiplexer 3 separates the multiplexed broadcast signal into a video signal and an audio signal. The decoder 4 decodes the compressed video signal and audio signal separated by the demultiplexer 3.

  The recording / reproducing unit 5 includes a recording unit 6 and a reproducing unit 7. The recording unit 6 temporarily stores the video signal and the audio signal decoded and input by the decoder 4 and outputs and records them on the HDD 8 and the optical disk drive 9 while controlling the timing and the data amount. The playback unit 7 reads the video signal and audio signal of the video content recorded on the HDD 8 or the optical disk, and outputs them to the decoder 4 for playback while controlling the timing and data amount.

  The HDD 8 stores a program received via the digital tuner 1 and video content received via the network 50 such as the Internet by the communication unit 11 in a built-in hard disk. In addition, the HDD 8 stores various contents such as various video contents, still picture contents, and music contents input from a digital camera or various recording media via various interfaces (not shown). When these stored contents are reproduced, the HDD 8 reads these data from the hard disk and outputs them to the recording / reproducing unit 5. The HDD 8 may store various programs such as applications, other data, and the like. These programs and data are read from the HDD 8 according to a command from the CPU 12 and executed in the RAM 14 at the time of execution and reference.

  The optical disc drive 9 has an insertion portion into which the optical disc 10 can be inserted, and records various data such as the program content on the inserted optical disc 10 and reads the recorded data, like the HDD 8. Is possible. Examples of the optical disk 10 include BD (BD-ROM), DVD, and CD. The various programs may be recorded on a general-purpose recording medium such as the optical disk 10 and installed in the DVR 100 by the optical disk drive 9.

  The communication unit 11 is a network interface for connecting to the network 50 and exchanging data with other devices on the network 50 using a protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol).

  The CPU 12 accesses the RAM 14 or the like as necessary, and comprehensively controls processing of each block of the DVR 100 such as data recording and playback processing by the recording / playback unit 5.

  The broadcast signal includes an SI (Service Information) signal for transmitting data for displaying an EPG (electronic program guide) and the like. For example, in the ARIB (Association of Radio Industries and Broadcast) standard, the SI signal includes an EIT (Event Information Table) including information related to the program such as the program name, broadcast date and time, and broadcast content. The DVR 100 extracts an EIT from the SI signal and creates an EPG mainly based on information included in the EIT. The CPU 12 also controls this EPG creation process. Note that the DVR 100 may acquire data related to the EPG by the communication unit 11 from the network 50 instead of from the broadcast signal received by the digital tuner 1.

  The ROM 13 is a non-volatile memory in which an OS to be executed by the CPU 12, firmware such as programs and various parameters are fixedly stored. The ROM 13 stores various programs such as a program used for creating various tables described later, various programs such as a program used for GUI generation for program recommendation, and various data such as EPG data and the various tables. A flash memory may be used in place of the ROM 13. The RAM 14 is a memory that is used as a work area for the CPU 12 and temporarily stores an OS, a program, processing data, and the like.

  The operation input unit 15 inputs various setting values and commands by a user operation from, for example, a remote controller 19 having a plurality of keys (hereinafter referred to as a remote controller 19), and outputs it to the CPU 12. Of course, the operation input unit 15 may be configured with a keyboard or mouse connected to the DVR 100, a switch mounted on the DVR 100, or the like without using the remote controller 19.

  The graphic control unit 16 performs graphic processing such as OSD (On Screen Display) processing on the video signal output from the decoder 4 and EPG data output from the CPU 12 to generate a video signal to be displayed on the TV 20.

  The video D / A converter 17 converts the digital video signal input from the graphic control unit 16 into an analog video signal and outputs the analog video signal to the TV 20.

  The audio D / A converter 18 converts the digital audio signal input from the decoder 4 into an analog audio signal and outputs the analog audio signal to the TV 20.

  The TV 20 displays the analog video signal on a display unit (not shown), and outputs the analog audio signal from a speaker (not shown). The speaker may be built in the TV 20 or may be externally connected to the TV 20 or the DVR 100.

  Next, the operation of the DVR 100 configured as described above will be described. The operations described below are all executed under the control of the CPU 12 of the DVR 100 regardless of the operation subject. Each of these operations may be a hardware operation or a software (program) operation cooperating with the hardware.

  The DVR 100 according to the present embodiment creates data indicating the relationships among performers of a plurality of programs from the EPG data and program information of the programs stored in the HDD 8, and recommends the program to the user based on the data. Generate a GUI for

FIG. 2 is a flowchart showing a rough flow of the program recommendation operation of the DVR 100 in the present embodiment.
As shown in the figure, the CPU 12 of the DVR 100 first stores the EPG data received by the antenna and digital tuner 1 in the ROM 13 or the HDD 8 for a predetermined period such as one year (step 21).

Subsequently, the CPU 12 analyzes the accumulated EPG data for each program and extracts various data (step 22). FIG. 3 is a diagram illustrating specific processing for extracting various data from the EPG data.
As shown in the figure, the CPU 12 analyzes the format of the EPG data and extracts data such as broadcast date / time, genre, and program title. Here, the genre is included in the EPG data as a content descriptor in the ARIB standard, for example. This content descriptor includes, for example, major categories such as news / report, sports, drama, music, variety, movie, animation, documentary / education, etc., and more detailed weather, economy, soccer, baseball, overseas drama, gourmet, etc. It is classified into the middle classification.

  Further, the CPU 12 extracts keywords (person names) by morphological analysis or the like, and further obtains attributes of each keyword such as performers, moderators, guests, directors, directors, etc. by format analysis. For example, in the ARIB standard, each keyword is extracted from EIT (Event Information Table) in the EPG data of each program. And CPU12 extracts the name of a person who belongs to a performer from the said analysis result, and specifies a performer name. As for the genre, the CPU 12 extracts the genre classification defined by ARIB from the content descriptor in the EIT, and specifies the genre name.

  Subsequently, the CPU 12 extracts data such as broadcast (recording) date / time, genre, program title, performer name, and the like of each program from the recorded program stored in the HDD 8. The recorded programs stored in the HDD 8 are stored in a database as a recorded program table. Since this recorded program table is constructed based on the data included in the EPG data at the time of recording, the same data as the various data extracted from the EPG data is extracted.

  The CPU 12 combines the data extracted from the recorded program and the data extracted from the EPG data, and creates a program table for programs that do not overlap (step 23).

  Subsequently, the CPU 12 extracts performers and genres from the program table (step 24). FIG. 4 is a diagram illustrating a process of extracting a performer name from the program table, and FIG. 5 is a diagram illustrating a process of extracting a genre name from the program table.

  As shown in FIG. 4, the CPU 12 extracts a performer name for each recorded program from the program table 40. Further, as shown in FIG. 5, the CPU 12 extracts a genre for each recorded program from the program table 40.

  The performer names extracted from the program table are temporarily stored in, for example, the RAM 14 as a performer list for each program. Genre names extracted from the program table are temporarily stored in the RAM 14 or the like as a genre list. The genre list has, for example, a genre ID (content descriptor) and a genre name.

Subsequently, the CPU 12 counts performer names in the performer list for the same program and creates a performer table (step 25).
FIG. 6 is a flowchart showing a flow of operations in which the CPU 12 creates a performer table.
As shown in the figure, the CPU 12 first checks whether or not a program table has been created (step 61). When the program table has been created (Yes), the CPU 12 sequentially searches for the performers of each program from the performer list extracted from the program table (step 62). The search order is determined in the order of program broadcast (recording) date and time, capacity, program title, and the like. When the program table has not been created (No), the CPU 12 ends the process.

  Subsequently, the CPU 12 confirms whether or not the performer searched from the performer list exists in the performer table (step 63). When the searched performer does not exist in the performer table (No), the CPU 12 registers the performer in the performer table (step 64). When the searched performer already exists in the performer table (Yes), the CPU 12 returns to step 61 and repeats the subsequent processing.

FIG. 7 is a diagram illustrating the created performer table.
As shown in the figure, the performer table 70 has a performer name and a performer ID for identifying the performer name. Performer names are not duplicated.

  Returning to FIG. 2, subsequently, the CPU 12 creates a co-star table for each performer registered in the performer table 70 (step 26).

FIG. 8 is a flowchart showing a flow of operations in which the CPU 12 creates a co-star table.
As shown in the figure, the CPU 12 first checks whether or not a program table has been created (step 81). If a program table has been created (Yes), the CPU 12 extracts performers of each program from the program table and replaces them with performer IDs in the performer table 70 (step 82). When the program table has not been created (No), the CPU 12 ends the process.

  Subsequently, the CPU 12 refers to the performer list to check whether or not there is a co-star in the performer replaced with the performer ID in each program (step 83). If there is a co-star (Yes), the CPU 12 registers the performer ID of the co-star in the performer table 70 in the co-star table in association with the performer table (step 84). If there is no co-star (No), the CPU 12 returns to step 81 and repeats the subsequent processing.

FIG. 9 is a diagram showing the created co-star table.
As shown in the figure, the co-star table 90 is created as a child table for each performer having each performer ID in the performer table 70. The co-star table 90 has a performer ID of the co-star and a program ID of a program that the co-star performs with the performers in the performer table 70. In the figure, as an example, a performer table 90 of performer A having performer ID = 0 is shown. In this co-star table 90, it is shown that performer B having performer ID = 1 and performer D having performer ID = 2 co-starred with performer A in a program having program ID = 0. Yes. The same co-star may be registered in each co-star table 90 of different performers in the performer table 70.

  Returning to FIG. 2, the CPU 12 then creates a program genre table for each co-star registered in the co-star table 90 (step 27).

FIG. 10 is a flowchart showing a flow of operations in which the CPU 12 creates a program genre table.
As shown in the figure, the CPU 12 first checks whether or not the co-star table 90 has been created (step 101). When the co-star table 90 has not been created (No), the CPU 12 ends the process. If the co-star table 90 has been created (Yes), the CPU 12 detects the genre ID of the genre of the program in which the co-star has appeared based on the genre list and the program ID in the co-star table 90 (step). 102).

  Subsequently, the CPU 12 confirms whether or not the detected genre ID is already registered in the program genre table (step 103). When not registered in the program genre table (step No), the CPU 12 registers the genre ID in the program genre table (step 104). If it is registered in the program genre table (Yes), the CPU 12 returns to step 101 and repeats the subsequent processing.

FIG. 11 shows the created program genre table.
As shown in the figure, the program genre table 110 is created as a child table of the co-star table 90. The program genre table 110 has a genre ID (content descriptor) of a performance program of each co-star in the co-star table as a program genre attribute of each program. A plurality of genre IDs may be registered in one program.

  Returning to FIG. 2, the CPU 12 then assigns a performer genre attribute to each performer registered in the performer table 70 (step 28). FIG. 12 is a flowchart showing a flow of processing in which the CPU 12 assigns performer genre attributes to each performer. 13 and 14 are diagrams conceptually showing the performer genre attribute assigning process.

  As shown in FIG. 12, the CPU 12 first detects the performers and genres of the program in the program table 40 (step 121). As shown in FIG. 13, the detection is executed for each program in the order of broadcast (recording) date and time, for example.

  Subsequently, for each performer of each program, the CPU 12 creates a histogram with the number of programs on the vertical axis and the genre on the horizontal axis (step 122). For example, in the example of FIG. 13, since performer A appears in the program “title A” having a music genre, 1 is added to the music in the histogram of performer A. In addition, since performer A appears in the program “title C” having a sports genre, 1 is added to the sport in the histogram of performer A.

  Subsequently, the CPU 12 sums up histogram values (the number of programs) of all genres for each performer (step 123), and determines whether there is a genre having a value equal to or greater than a threshold calculated from the total value. (Step 124). When there is a genre equal to or greater than the threshold (Yes), the CPU 12 assigns the genre to the performer as the performer genre attribute of the performer (step 125). A plurality of performer genre attributes may be given to one performer.

  For example, as shown in FIG. 14, when performer A appears in a program having a threshold T1 or more in each genre of music and culture, the performer genre attributes of performer A are music and culture. This performer genre attribute is stored in association with each performer in the performer table, for example. When there is no genre equal to or greater than the threshold (No), the CPU 12 ends the process for the performer, and similarly performs the performer genre attribute assigning process for the other performers in the program table 40.

  Returning to FIG. 2, the CPU 12 recommends a program to the user using the performer genre attribute (step 29). In the present embodiment, the CPU 12 can execute an application for searching for and recommending other programs in which the performers of the program appear by keywords during the reproduction of the program. FIG. 15 is a diagram showing an example of this program search screen.

  As shown in the figure, the currently selected program is displayed on the left side of the TV 20 screen, and the right side of the program screen shows the program as a keyword extracted from the EPG data related to the program. A performer name 151 is displayed. The performer genre attribute 152 of the performer is displayed on the right side of the performer name 151, and another performer name having the same performer genre attribute as the performer genre attribute 152 is further displayed on the right side. 153 is displayed. The performers displayed as other performer names 153 are co-stars associated with the performers displayed by the performer name 151 in the co-star table 90. These performer names 151 and 153 can be selected and determined by the user's operation using the remote controller 19.

  When the user inputs an operation for selecting / determining one of the performer names 151 and 153, the CPU 12 executes a program search process using the performer name as a keyword. That is, the CPU 12 retrieves a program including the performer name as a performer from the current day or future EPG data.

FIG. 16 is a diagram showing an example of a display screen of the program search result.
As shown in the figure, when the performer C is selected on the program search screen of FIG. 15, the other programs (“title A” and “title B” having EPG data matching the performer C are selected. Program information 161 related to “)” is displayed on the TV 20. The CPU 12 executes channel selection processing, recording processing, and the like of the searched program based on the user operation on the program search result display screen. For example, when an operation for selecting / determining the program information 161 of “title A” is input, if the “title A” is a broadcast program, the CPU 12 views the “title A”. Button and a recording button for recording are displayed. If the “title A” is an unbroadcast program, the CPU 12 displays a viewing button for making a viewing reservation for the “title A” and a recording reservation button for making a recording reservation. The CPU 12 executes each function based on an operation for selecting and determining these buttons.

  These display processes and the display process described below are controlled by the graphic control unit 16.

  As described above, according to the present embodiment, the DVR 100 creates the performer table 70, the co-star table 90, and the program genre table 110 from the accumulated EPG data and recorded programs, and performs the performer genre to each performer. Attributes can be assigned. Thereby, the DVR 100 can recommend not only a program related to a certain performer but also a program related to another performer who has performed with the performer at the same time. Moreover, DVR100 can make a user recognize the connection of performers using a performer genre attribute, and can arouse a user's willingness to view.

[Second Embodiment]
Next, a second embodiment of the present invention will be described. In the present embodiment and subsequent embodiments, portions having the same configuration and function as those of the first embodiment described above are denoted by the same reference numerals, and description thereof is omitted or simplified.
The DVR 100 in the first embodiment assigns a performer genre attribute to each performer in the performer table 70 and uses it to recommend a program. The DVR 100 in the present embodiment gives each performer a correlated genre attribute that indicates a connection related to the genre of performers. FIG. 17 is a flowchart showing a rough flow of the program recommendation operation of the DVR 100 in the present embodiment.

  As shown in the figure, the CPU 12 of the DVR 100 creates the performer table 70, the co-star table 90, and the program genre table 110 by the same processing as in the first embodiment (steps 171 to 177). Then, the DVR 100 assigns a correlated genre attribute to each performer (step 178) and recommends a program using the correlated genre attribute (step 179).

FIG. 18 is a flowchart showing the flow of processing in which the CPU 12 assigns a correlated genre attribute to each performer. 19 and 20 are diagrams conceptually showing this correlated genre attribute assignment processing.
As shown in FIG. 18, first, the CPU 12 associates each performer ID in the performer table 70 with the co-star table 90 and the program genre table 110 (step 181). As shown in FIG. 19, the association is executed in ascending order or descending order of IDs of the performer table 70, for example. This association may be executed not in the ID order but in the order of the Japanese syllabary of each performer name, for example.

  Subsequently, for the co-starring program of each performer in the performer table 70 and each co-star in the co-star table 90 associated with the performer, the CPU 12 has a histogram in which the number of programs is plotted on the vertical axis and the genre is plotted on the horizontal axis. Is created (step 182). For example, in the example of FIG. 19, performer A with performer ID = 0 and performer B with performer ID = 1 who is the co-star are program ID = 0 and genre ID = 0 (music) ). In this case, the CPU 12 adds 1 to the music in the histogram of the performer A × the performer B. Similarly, performer A and performer B co-star in a program having program ID = 2 and genre ID = 2 (education), so in the histogram of performer A × performer B, 1 is added to the education. To do.

  Subsequently, the CPU 12 sums up the histogram values (number of programs) of all genres for each performer (step 183), and determines whether there is a genre having a value equal to or greater than a threshold calculated from the total value. (Step 184). When there is a genre that is equal to or greater than the threshold (Yes), the CPU 12 assigns the genre to the performer and the co-star as a correlated genre attribute between the performer and the co-star (step 185).

  For example, as shown in FIG. 20, when performer A and performer B co-star in a program of a threshold T2 or more in the genre of music, the correlated genre attribute of performer A × performer B is music and Become. This correlated genre attribute is stored in association with each performer of the performer table 70 and each performer of the co-star table 90, for example. When there is no genre equal to or greater than the threshold (No), the CPU 12 ends the process for the performer and the co-star. Then, the CPU 12 similarly executes a process of assigning a correlated genre attribute for a co-starring program of a performer (performer A) in the performer table 70 and other co-stars (performers D to F). The CPU 12 executes these processes for all the performers in the performer table 70.

  This correlated genre attribute indicates what kind of program a certain performer and another specific performer often co-star in. A plurality of correlated genre attributes may be given between one performer and one co-star.

  Returning to FIG. 17, the CPU 12 recommends a program to the user using the correlated genre attribute (step 179). In the present embodiment, the CPU 12 can execute an application having a so-called video jukebox function that continuously reproduces a video of a genre program. The CPU 12 can use the correlated genre attribute in determining the video to be played in the video jukebox.

  Specifically, the CPU 12 causes the user to select the video jukebox function from, for example, a menu screen and the like, and based on the selection, programs that perform together with performers to which a music correlation genre attribute is assigned are continuously displayed. Reproduce. FIG. 21 is a diagram showing an example of the screen of the TV 20 when the video jukebox function is executed. As shown in the figure, based on the performer table 70 and the co-star table 90, the CPU 12 searches the recorded programs stored in the HDD 8 for a co-star program of performers whose correlation genre attribute is music. , Play them continuously at random. FIG. 6A shows an example of a playback screen of a program co-starred by two performers, and FIG. 10B shows an example of a playback screen of a program co-starred by two other performers. . In this case, the CPU 12 may extract and reproduce only the performance scene from each recorded program, for example, by analyzing the frequency characteristics of the audio data. These reproduced programs may be programs in which the same performers appear, or programs in which different performers appear.

  As described above, according to the present embodiment, the DVR 100 continuously reproduces a recorded program on the basis of the correlated genre attribute of music, so that the intention of the program producer co-starring each performer is recommended to the program. Can be reflected. That is, since the combination of performers having the correlated genre attribute can be presented in the form of co-starring as compared to the case where a program having the program genre attribute of music is continuously played back, Can be aroused more.

[Third Embodiment]
Next, a third embodiment of the present invention will be described.
In the present embodiment, the DVR 100 has an application capable of executing a program search using keywords as in the first embodiment. In the present embodiment, the CPU 12 causes the TV 20 to display a screen (not shown) for inputting a search keyword using, for example, the remote controller 19 or the like. When a keyword is input and search execution is instructed, the CPU 12 searches the EPG data or a recorded program for a program that matches the keyword, and displays a program including the keyword as program information as the search result. it can. When the keyword is a performer name (person name), a list of programs in which the performer appears is displayed as a search result, and playback, viewing reservation, recording reservation, etc. are set according to the remote control operation on the screen. The At this time, as a search result, the CPU 12 uses the performer genre attribute in addition to the performer list of performers, and displays a recommendation column of a program (an unexpected recommended program) in which the combination of the co-stars seems unexpected to the user. Can be displayed.

FIG. 22 is a flowchart showing the flow of the program search process.
As shown in the figure, first, the CPU 12 determines whether or not a performer name is input and an execution of performer name search is instructed by a user's operation of the remote controller 19 (step 221). If it is determined that the execution of the performer name search has been instructed (Yes), the CPU 12 searches the stored EPG data or the recorded program for a program including the performer name (step 222).

  Subsequently, the CPU 12 determines whether or not there is a program in which the performer corresponding to the input performer name among the searched programs co-stars with other performers in the performer table 70 ( Step 223). If it is determined that a co-star program exists (Yes), the CPU 12 calculates the similarity between the performer genre attribute of the input performer and the performer genre attribute of the co-star of the co-star program (step 224). . This similarity is calculated by, for example, calculating the inner product of the attribute vectors when each performer genre attribute is expressed by an attribute vector. When there are a plurality of co-stars in the searched program, an inner product of attribute vectors is calculated between each of the co-stars and the input performer.

  When the similarity of the performer genre attribute between the performer and the co-star is less than or equal to a predetermined threshold (Yes), the CPU 12 extracts the program in which the performer and the co-star perform as an unexpected recommended program. . When the similarity is represented by the inner product, when the inner product is 0, typically when the inner product is 0, that is, the attribute vector of each performer genre attribute of performers and co-stars is In the case of orthogonality, a value close to 0 may be used as the threshold value. Here, the case where the similarity is equal to or less than the threshold is a case where the genre correlation between the performers and the co-stars is low, that is, the combination of the performers is unexpected for the user.

  Then, the CPU 12 causes the TV 20 to display a list of information related to the extracted unexpected recommended programs and the other programs in which the performers appear among the searched programs (step 227).

FIG. 23 is a diagram showing an example of a display screen of the program search result.
As shown in the figure, at the top of the search result display screen, a list of program information 231 such as the broadcast date / time and title of the performer program of performer B who is the target of the keyword input is displayed. In the lower part of the display screen, program information 232 of “an unexpected recommended program” in which the performer performs with a co-star with the similarity equal to or less than the threshold is displayed. The figure shows an example in which it is determined that the similarity of each performer genre attribute of performers B and D who co-star in the program of title E is equal to or less than a threshold value.

  When the “unexpected recommended program” or other program in the list is selected by the user's operation, the CPU 12 displays a screen for executing reproduction, recording reservation, viewing reservation, etc. of the program. The recording reservation or viewing reservation is executed in accordance with the user operation above.

  If the CPU 12 determines that there is no co-star program in the step 223 (No) and if it is determined in the step 225 that the similarity is greater than the threshold (No), the CPU 12 simply lists information on the searched program. Is displayed as a search result (step 228).

  As described above, according to the present embodiment, the DVR 100 recommends to the user a program in which performers of a combination unexpected to the user perform by calculating the similarity of the performer genre attributes of each performer. And can motivate the user to watch.

[Other Embodiments and Modifications]
The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the scope of the present invention.

  In the second embodiment, the DVR 100 uses the information related to the “unexpected recommended program” as a search result when the performer name is input on the keyword search screen of the program and the execution of the program search is instructed by the user. Displayed. However, when displaying information related to the “unexpected recommended program”, there is no need for the user to input a keyword. For example, the CPU 12 prepares a menu for displaying information related to the “unexpected recommended program”, and displays the information related to the “unexpected recommended program” when the menu is selected by a user operation input. You may let them.

  In the second embodiment, the DVR 100 presents an “unexpected recommended program” based on the similarity between the performer genre attribute of the performer and the performer genre attribute of the performer co-star. However, the CPU 12 may present a program that is not a combination of performers but a combination of performers and programs in a genre as an “unexpected recommended program”. Specifically, for example, the CPU 12 is similar to the program genre attribute of a co-star program in which a performer who is a target of keyword input and a co-star who has the same performer genre attribute as the performer. Based on the above, “an unexpected recommended program” may be presented.

  That is, the CPU 12 first searches the EPG data or the recorded program for a performer co-starred in the co-star table 90 having the same performer genre attribute as the performer who is the target of keyword input and the performer. And CPU12 calculates the similarity degree of the said performer genre attribute and the program genre attribute of the said co-starring program among the said co-starring programs, for example by the inner product of each attribute vector. Then, the CPU 12 extracts a co-star program whose similarity is equal to or less than a predetermined value (for example, 0), and displays information related to the co-star program as “an unexpected recommended program” in the search result. Further, the CPU 12 displays the “unexpected recommended program” in this case when the user selects a menu for displaying information on the “unexpected recommended program”, for example, without inputting a keyword from the user. May be.

  As a result, the DVR 100 can pick up a program with a low genre similarity between the program content and each performer as a program unexpected to the user and recommend it to the user, and can motivate the user to watch. For example, if the performer genre attribute of each performer is music and the program genre attribute of the program to be performed is sports, it will be “unexpected” for the user to appear in the program.

  In the third embodiment and its modification, “unexpected recommended program” is reserved for recording or viewing based on the user's operation on the program search result display screen. However, the CPU 12 may automatically make a recording reservation or viewing reservation for the “unexpected recommended program”. In this case, the CPU 12 makes an automatic recording reservation or an automatic viewing reservation for, for example, a performance program of a performer who is interested in the user and a performer of an unexpected combination, or a performance program of an unexpected genre of the performer who is interested in the user. Prepare a check box for setting. Then, when the “unexpected recommended program” is searched when the check box is set to ON, the CPU 12 reserves recording or viewing reservation for the program.

  In the third embodiment and the modification thereof, the DVR 100 presents an “unexpected recommended program” based on the similarity between the performer genre attributes or the similarity between the program genre attribute and the performer genre attribute. However, the DVR 100 may present an “unexpected recommended program” based on the number of performances between performers. That is, the CPU 12 counts the number of co-starrings of each performer in the performer table 70 and each co-star in the co-star table 90, and the performers with a small number of co-stars and the performance programs of the co-stars are “unexpectedly recommended”. Present as “Program”.

  Conversely, the DVR 100 may present a performance program between performers with a large number of performances. For example, the CPU 12 may present the other co-star programs as related programs during the reproduction of the cast programs of the performers and the co-stars with a large number of co-stars.

  In the said 3rd Embodiment and its modification, the similarity of performer genre attributes or performer genre attributes and a program genre attribute was calculated by the inner product of an attribute vector. However, this similarity may be calculated without depending on the inner product of the attribute vectors. For example, the CPU 12 may determine a representative value of each genre attribute in advance according to the similarity, and extract the “unexpected recommended program” by comparing the representative values.

  In the first embodiment, the DVR 100 displays the performer genre attribute of each performer in the performer table 70 together with the performer name and the co-star name common to the performer genre attributes on the program search screen. It was. However, the application using the performer genre attribute is not limited to this. For example, the DVR 100 can also present the transition of each performer to the user using the performer genre attribute. Details of this case will be described below.

  The CPU 12 calculates the performer genre attribute of each performer in the performer table 70 for every predetermined period such as several months or years, and the history of the performer genre attribute is, for example, 5 years, 10 years, etc. For a long period of time, along with recorded programs that each performer appears. Since the performer genre attribute changes depending on the genre of the performer's appearance program, the occupational change of each performer can be traced by following the transition of the performer genre attribute.

  Therefore, the CPU 12 extracts a recorded program for each performer, and displays a list of performers of a specific performer together with the performer genre attribute of the performer. FIG. 24 is a diagram showing an example of a list screen of a performer program of the performer. This list screen is displayed, for example, when the CPU 12 displays a screen for selecting a performer from the performer table 70 and the user inputs an operation for selecting a specific performer from the selection screen. As shown in the figure, on this list screen, for example, program information 241 of programs in which performer A appears is displayed in chronological order. As the program information 241, the program broadcast date and time, the title, the performer genre attribute of the performer, and the name of the co-star in the program are also displayed. The recorded data of the program displayed in this list may be deleted from the HDD 8. The CPU 12 may store the thumbnail image 243 in the HDD 8 or the like separately from the recording data by extracting the top frame of the recording data, for example, at the time of program recording. The same applies to program information such as the broadcast date and time and title.

  In the figure, it is shown that the performer genre attribute of performer A is changing from variety to reporting. This is because performer A has appeared in a variety of programs from 2004 to 2006, but has appeared in many news programs since 2007. That is, it can be seen that the occupation of performer A has changed from a talent to a politician or a caster, for example.

  Thus, CPU12 can show a user the transition of a performer genre attribute in the form of a list of performers of a specific performer, and can aim at improvement of a user's interest.

  The CPU 12 may display only the program information of a predetermined number of programs before and after the performer genre attribute is changed, instead of displaying all the program information of the performers of the specific performer as a list. For example, in FIG. 24 described above, the CPU 12 may display only information related to the title C and the title D in which the performer genre attribute of the performer A has changed. Thereby, when there are a large number of performers' perform programs, the user can efficiently grasp the transition of the performer genre attributes.

  Further, the CPU 12 may record program data displayed in the above-mentioned program listing on the optical disc 10. In this case, the CPU 12 may print each thumbnail image on the surface of the optical disc 10 by a printer (not shown) connected to the DVR 100.

  As another application using the performer genre attribute, the DVR 100 may sort and display the program list in the program table 40 for each performer genre attribute of each performer in the performer table 70.

  In the second embodiment, the DVR 100 executes the video jukebox function using the correlation genre attribute between the performers. However, the application using the correlation genre attribute is not limited to this. For example, the DVR 100 may display the program search result by the performer name together with the co-star name for each correlated genre attribute between the performer and the co-star. Thereby, DVR100 can make a user grasp | ascertain which performer is connected with which other performer by which genre, and can arouse a user's willingness to view.

  As another application using the correlated genre attribute, the DVR 100 may map the relationship of each performer in the performer table 70 with the correlated genre attribute and present it to the user. In this case, when a specific performer is selected by a user operation on the map, the CPU 12 may display a program list of the performer.

  In each of the above-described embodiments, processing for a program in digital broadcasting has been shown. However, the present invention is similarly applied to a program distributed by IP broadcasting via the network 50 instead of broadcasting waves.

  In the above-mentioned embodiment, the example which applied this invention to DVR was shown. However, the present invention can be applied to all electronic devices other than the DVR, such as a television device, a PC, a portable AV device, a mobile phone, and a game device.

It is a figure which shows the structure of DVR which concerns on the 1st Embodiment of this invention. It is the flowchart which showed the rough flow of the program recommendation operation | movement of DVR in the 1st Embodiment of this invention. It is the figure which DVR which concerns on the 1st Embodiment of this invention demonstrated the process which extracts various data from EPG data. It is the figure which DVR which concerns on the 1st Embodiment of this invention demonstrated the process which extracts a performer name from a program table. It is the figure which DVR which concerns on the 1st Embodiment of this invention demonstrated the process which extracts a genre name from a program table. It is the flowchart which showed the flow of the operation | movement which DVR which concerns on the 1st Embodiment of this invention produces a performer table. It is a figure which shows the performer table produced in the 1st Embodiment of this invention. It is the flowchart which showed the flow of the operation | movement which DVR which concerns on the 1st Embodiment of this invention produces a co-star table. It is a figure which shows the co-star table created in the 1st Embodiment of this invention. 6 is a flowchart showing a flow of an operation of creating a program genre table by the DVR according to the first embodiment of the present invention. It is a figure which shows the program genre table produced in the 1st Embodiment of this invention. The DVR which concerns on the 1st Embodiment of this invention is the flowchart which showed the flow of the process which provides a performer genre attribute to each performer. It is the figure which DVR which concerns on the 1st Embodiment of this invention showed notionally about the process which provides a performer genre attribute to each performer. It is the figure which DVR which concerns on the 1st Embodiment of this invention showed notionally about the process which provides a performer genre attribute to each performer. It is the figure which showed the example of the program search screen in the 1st Embodiment of this invention. It is the figure which showed the example of the display screen of the program search result in the 1st Embodiment of this invention. It is the flowchart which showed the rough flow of the program recommendation operation | movement of DVR in the 2nd Embodiment of this invention. It is the flowchart which showed the flow of the process in which DVR in the 2nd Embodiment of this invention provides a correlation genre attribute to each performer. It is the figure which showed notionally the correlation genre attribute provision process in the 2nd Embodiment of this invention. It is the figure which showed notionally the correlation genre attribute provision process in the 2nd Embodiment of this invention. It is the figure which showed the example of the screen of TV at the time of execution of the video jukebox function in the 2nd Embodiment of this invention. It is the flowchart which showed the flow of the program search process of DVR which concerns on the 3rd Embodiment of this invention. It is the figure which showed the example of the display screen of the program search result in the 3rd Embodiment of this invention. It is a figure which shows the example of the list screen of the performance program of a specific performer in another embodiment of this invention.

Explanation of symbols

6 ... Recording unit 7 ... Playback unit 8 ... HDD
11. Communication unit 12 ... CPU
15 ... Operation input unit 16 ... Graphic control unit 19 ... Remote controller (remote controller)
20 ... Television equipment (TV)
40 ... Program table 50 ... Network 70 ... Performer table 90 ... Co-star table 100 ... Digital video recorder (DVR)
110 ... Program genre table 151, 153 ... Performer name 152 ... Performer genre attribute 161, 231, 232, 241 ... Program information 242, 243 ... Thumbnail image

Claims (11)

Receiving means for receiving a plurality of programs and electronic program guide information including program name information , performer name information and program genre attributes of the plurality of programs;
An operation input means for receiving a user's operation input;
Storage means for storing the received electronic program guide information for a predetermined period, and storing the received program and program name information, performer name information, and genre information of the program based on the operation input ; ,
Playback means for playing back the received program and the stored program ;
The performer name information of the plurality of programs is extracted from the stored electronic program guide information to create a performer table, and the performer name information of the stored program is stored in the performer table. Determining whether or not it is registered, and when it is determined that it is not registered, first creating means for registering the extracted performer name information in the performer table ;
For each performer in the performer table, the program name information of the plurality of programs in which the performer appears and the performer name information of the co-stars in the plurality of programs are extracted from the stored electronic program guide information. And second creating means for creating a co-star table associated with the performer table based on the extracted information and the program name information and performer name information of the stored program. ,
From the electronic program guide information, for each program name information in the co-star table and for each co-star, extract the program genre attribute of the plurality of programs in which the co-star has appeared, the extracted information, Third creation means for creating a program genre table associated with the co-star table based on the program genre attribute of the stored program;
Based on the created performer table , co-star performer table, and program genre table , the program in which the performers in the performer table appear and the co-stars in the co-star table associated with the performers appear. An electronic device comprising: output means for generating and outputting display information for recommending a program to be played to a user. The electronic device according to claim 1 ,
The number of programs in the electronic program guide information and the number of stored programs in which each performer in the performer table appears is calculated for each genre of the program, and there are a number of programs equal to or greater than a predetermined threshold ratio. Further comprising first genre attribute assigning means for giving each performer an existing genre as the performer genre attribute of each performer;
The said output means is an electronic device which produces | generates the said display information based on the said performer genre attribute of each said performer. The electronic device according to claim 2 ,
The output means includes the name of the performer of the program being played and the name of the co-star with the same performer genre attribute as the performer as search keyword candidates that can be selected by the operation input means. Generating the display information to be displayed together with each performer genre attribute of the performer and the performer;
The electronic device further includes search means for searching for a program that matches one search keyword selected from the displayed search keyword candidates from the program in the electronic program guide information and the stored program,
The electronic device that generates the display information that receives an operation input of the user for storing or reproducing the searched program. The electronic device according to claim 2 ,
The output means is based on a predetermined operation input of the user accepted by the operation input means, and the performer genre attribute of the performer in the performer table and the appearance of the co-star in the program in which the performer appears. The similarity between the performer genre attribute is calculated, and the display information for recommending a program in which the performer co-stars with a performer having a performer attribute vector whose similarity is equal to or smaller than a predetermined value is generated. Electronics. The electronic device according to claim 2 ,
The output means includes the program genre attribute of a program co-starred by a plurality of performers having the same performer genre attribute based on a predetermined operation input of the user accepted by the operation input means, and the plurality An electronic device that calculates the degree of similarity of the performer with the performer genre attribute and generates the display information for recommending a program in which the plurality of performers appear and the similarity is equal to or less than a predetermined value. The electronic device according to claim 1 ,
The number of programs and the stored programs in the electronic program guide information in which the performers associated with the performers in the performer table appear is calculated for each program genre attribute associated with the co-stars And second genre attribute assigning means for assigning a program genre attribute having a number of programs equal to or greater than a predetermined threshold ratio to the performer and the co-star as a correlated genre attribute between the performer and the co-star. In addition,
The electronic device generates the display information for receiving a user operation input for storing or reproducing the program for each correlated genre attribute. The electronic device according to claim 6 ,
The output means generates the display information for accepting a user's operation input for continuously playing a plurality of programs in which the performer and the co-star that are given the predetermined correlated genre attribute respectively appear. machine. The electronic device according to claim 2 ,
The first genre attribute assigning means assigns the performer genre attribute to the performers for each predetermined period,
The storage means stores the performer genre attribute assigned to each performer in the performer table that appears in the program in association with the stored program and given for each predetermined period,
The output means includes, for each performer in the performer table, program names of the plurality of stored programs, the performer genre attributes respectively associated with the plurality of programs, and the names of co-stars of the plurality of programs An electronic device that generates a list in chronological order as the display information that receives an operation input of the user for selecting and playing a program in the list. The electronic device according to claim 8 ,
The output means generates the list for a predetermined number of the programs before and after the change of the performer genre attribute. Receiving a plurality of programs and electronic program guide information including program name information , performer name information and program genre attributes of the plurality of programs,
Accept user input,
The received electronic program guide information for a predetermined period is stored , and based on the operation input, the received program and program name information of the program, performer name information and genre information are stored ,
The performer name information of the plurality of programs is extracted from the stored electronic program guide information to create a performer table, and the performer name information of the stored program is stored in the performer table. It is determined whether or not it is registered, and when it is determined that it is not registered, the extracted performer name information is registered in the performer table ,
For each performer in the performer table, the program name information of the plurality of programs in which the performer appears and the performer name information of the co-stars in the plurality of programs are extracted from the stored electronic program guide information. Then, based on the extracted information and the program name information and performer name information of the stored program , create a co-star table associated with the performer table,
From the electronic program guide information, for each program name information in the co-star table and for each co-star, extract the program genre attribute of the plurality of programs in which the co-star has appeared, the extracted information, Creating a program genre table associated with the co-star table based on the program genre attribute of the stored program;
Based on the created performer table , co-star performer table, and program genre table , the program in which the performers in the performer table appear and the co-stars in the co-star table associated with the performers appear. A program recommendation method for generating and outputting display information for recommending to a user a program to be played. Electronic equipment,
Receiving a plurality of programs and electronic program guide information including program name information , performer name information and program genre attributes of the plurality of programs;
Receiving user operation input; and
Storing the received electronic program guide information for a predetermined period, and storing the received program and the program name information, performer name information, and genre information of the program based on the operation input ;
The performer name information of the plurality of programs is extracted from the stored electronic program guide information to create a performer table, and the performer name information of the stored program is stored in the performer table. Determining whether or not it is registered, and if it is determined that it is not registered, registering the extracted performer name information in the performer table ; and
For each performer in the performer table, the program name information of the plurality of programs in which the performer appears and the performer name information of the co-stars in the plurality of programs are extracted from the stored electronic program guide information. And creating a co-star table associated with the performer table based on the extracted information and the program name information and performer name information of the stored program ;
From the electronic program guide information, for each program name information in the co-star table and for each co-star, extract the program genre attribute of the plurality of programs in which the co-star has appeared, the extracted information, Creating a program genre table associated with the co-star table based on the program genre attribute of the stored program;
Based on the created performer table , co-star performer table, and program genre table , the program in which the performers in the performer table appear and the co-stars in the co-star table associated with the performers appear. Generating and outputting display information for recommending a program to be performed to the user.

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