JP2008118408A - Program recommendation apparatus and method, and program for making computer execute program recommendation processing - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To conduct a program recommendation which is adaptable for a taste or a life style of the present or the future of a user. <P>SOLUTION: A program recommendation apparatus 1 includes a program information storing portion 10 to store electronic program information including program content information and distribution time information which are related to each of a plurality of programs to be distributed, a schedule information storing portion 11 to store electronic schedule information related to action content information and action time information of the user, and a recommended program deciding portion 12 to input the program information stored in the program information storing portion 10 and schedule information stored in a schedule storing portion and to decide a recommended program from the plural programs based on the program information and the schedule information. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a program recommendation device that determines a recommended program with reference to electronic program information.

  There is known an apparatus that recommends a program adapted to a user's (viewer's) preference or lifestyle using electronic program information related to a television program such as EPG (Electronic Program Guide) data. For example, in Patent Documents 1 to 3, a program recommendation adapted to a user's preference or lifestyle is determined by determining a viewing recommendation program or a recording recommendation program using history information and program information of viewing and recording of a program by the user. An apparatus for performing is disclosed.

  The video device disclosed in Patent Document 1 extracts and stores keywords from program information related to a program viewed by a user or a program recorded by a user instruction, that is, a program selected by the user. Then, the appearance frequency of the accumulated keyword is counted, and viewing and recording of a program in which a keyword with a high appearance frequency is included in the program information is recommended to the user.

  The broadcast receiving apparatus disclosed in Patent Literature 2 acquires a history of viewing and recording of a program by the user as an operation history, and the user is notified of the broadcasted program, performers, program genre, and the like from the acquired operation history and EPG information. The preference level is calculated. Then, using the program information of the broadcast program and the program information of the recorded program, an evaluation value indicating the degree of match with the calculated preference level is calculated, and a program with a high evaluation value is recommended to the user. is there.

The information processing apparatus disclosed in Patent Literature 3 learns the user's preference using the broadcast time, channel, program title, program genre, performer name, and the like included in the program information of the program viewed by the user as attribute values. Based on this learning result, a program that can be viewed by the user is searched from programs scheduled to be broadcast in the future indicated by the program information, and a program that can be viewed is selected as a recording candidate.
JP-A-7-135621 JP 2002-374462 A JP-A-11-345446 JP 2006-166127 A

  A method of determining a recommended program based on history information such as a viewing history or a recording history by a user is a program recommendation based on a user's past preference or lifestyle. For this reason, there exists a problem that a user's present or future preference or lifestyle cannot be reflected in program recommendation effectively.

  In Patent Document 4, when creating a viewing schedule for a recorded program, the user's action schedule is input, the free time of the input action schedule is selected as the viewable time, and the selected viewable time Discloses a technique for creating a viewing schedule by allocating viewing time of a recorded program. However, Patent Literature 4 automatically searches for an EPG by registering keywords and program names representing user preferences in advance for a technique for determining a recommended program from a plurality of programs to be distributed in the future. It only discloses that automatic recording of a program can be performed, and the technology exceeding Patent Documents 1 to 3 described above is not shown.

  A program recommendation device according to the present invention includes a program information storage unit for storing electronic program information including program content information and distribution time information relating to each of a plurality of distributed programs, and user action content information and action. A schedule information storage unit for storing electronic schedule information associated with time information, the program information stored in a program information storage unit, and the schedule information stored in the schedule storage unit, A recommended program determining unit that determines a recommended program from the plurality of programs based on the program information and the schedule information.

  The program recommendation method according to the present invention inputs electronic program information including program content information and distribution time information related to each of a plurality of distributed programs, and includes electronic information including user action content information and action time information. The schedule information is input, and a recommended program is determined from the plurality of programs based on the program information and the schedule information.

  Further, the program according to the present invention includes a process of inputting electronic program information including program content information and distribution time information relating to each of a plurality of programs to be distributed to a computer, and user action content information and action time information. A program for executing a program recommendation process including: a process for inputting electronic schedule information including: a process for determining a recommended program from the plurality of programs based on the program information and the schedule information. .

  Thus, by referring to electronic program information and determining a recommended program for the user, the user's action schedule may be used to recommend a program adapted to the user's future preference or lifestyle. it can. Therefore, the user's current or future preferences or lifestyle habits grasped from the user's action schedule can be effectively reflected in the program recommendation.

  According to the present invention, it is possible to provide a program recommendation device, a program recommendation method, and a program for causing a computer to execute a program recommendation process that can recommend a program adapted to a user's current and future preferences or lifestyle.

  Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. In the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted as necessary for the sake of clarity.

Embodiment 1 of the Invention
FIG. 1 is a functional block diagram of a program recommendation device 1 according to the present embodiment. In FIG. 1, a program information storage unit 10 stores electronic program information including program content information and distribution time information relating to a program to be distributed. The program information storage unit 10 may be a nonvolatile storage device such as a hard disk drive or a flash memory, or may be a volatile storage device such as a DRAM (Dynamic Random Access Memory) or an SRAM (Static Random Access Memory). . Moreover, the acquisition method of the program information stored in the program information storage part 10 is not specifically limited. For example, information transmitted from a broadcasting station by radio waves for television broadcasting may be received, or may be received via a communication line such as the Internet. In addition, the term “distribution” used in this specification does not limit the transfer route of program video data, but generically refers to transfer of program video data by radio broadcast, cable television, communication line, and the like. Is.

  An example of program information stored in the program information storage unit 10 is shown in FIG. In the example of FIG. 2, the program content information 107 and the program distribution time 101 are associated with each program. The program content information 107 includes a program title 102, a channel 103, a performer name 104, a program genre 105, and a program description 106. The example of FIG. 2 is an example, and the data structure of the program information is not limited to that shown in FIG. The program information may include other information other than the program content information and the distribution time information.

  The user schedule information storage unit 11 stores user schedule information. Here, the user schedule information is electronic data including an action schedule of a user who uses the program recommendation device 1, and includes at least user action content information and action time information. An example of user schedule information is shown in FIG. In the example of FIG. 3, the action time information 111 and the action content information 112 scheduled for the action date and time are associated with each schedule. The example in FIG. 3 is an example, and the data structure of the user schedule information is not limited to that shown in FIG.

  The user schedule information storage unit 11 may be a non-volatile storage device such as a hard disk drive or flash memory, or may be a volatile storage device such as DRAM or SRAM. Moreover, the acquisition method of the user schedule information stored in the user schedule information storage unit 11 is not particularly limited. For example, the content input by the user using an input device (not shown) such as a keyboard may be recorded in the user schedule information storage unit 11. Further, even if data created by a personal computer (PC) or the like that executes software for managing the user's schedule such as PIM (Personal Information Manager) software or the like is recorded in the user schedule information storage unit 11 Good. Data input to the program recommendation device 1 via a communication interface (not shown) such as USB (Universal Serial Bus) may be recorded in the user schedule information storage unit 11.

  The recommended program determination unit 12 receives the program information stored in the program information storage unit 10 and the user schedule information stored in the user schedule information storage unit 11, and recommends it to the user from among the programs included in the program information. The program is determined, and the determined list of one or more recommended programs is output to the recommended program storage unit 13.

  The recommended program determination unit 12 according to the present embodiment includes a keyword extraction unit 121, a keyword storage unit 122, and a program selection unit 123. The keyword extraction unit 121 inputs user schedule information and extracts a character string that becomes a keyword from the action content information.

  The keyword storage unit 122 stores one or more keywords extracted by the keyword extraction unit 121. Similar to the user schedule information storage unit 11, the specific configuration of the keyword storage unit 122 for storing the keyword list is not particularly limited.

  An example of the keyword list stored in the keyword storage unit 122 is shown in FIG. In the example of FIG. 4, the keyword 1221 extracted from the action content information included in the user schedule information and the keyword priority 1222 are stored in association with each other. The priority 1222 can be used when the program selection unit 123 selects a program highly relevant to the extracted keyword. Note that the data structure of FIG. 4 is an example, and the keyword list may not hold the keyword priority 1222.

  Here, an example of a keyword extraction processing procedure by the keyword extraction unit 121 will be described with reference to the flowchart of FIG. In step S101, the read date / time of the action schedule is set to the start specified date / time. The start designation date and time may be, for example, a value input by the user, or a date obtained by adding a predetermined number of days to the execution date of the keyword extraction process acquired from a timer (not shown) or the like. In step S102, the user schedule of the reading date is read. In step S103, a character string serving as a keyword is extracted from the action content information of the user schedule read in step S102. In step S104, the keyword extracted in step S103 is temporarily stored in a storage device such as a RAM. In step S105, it is determined whether or not the reading date has reached the designated end date. If the end designated date has not been reached in step S105, the reading date / time is updated (step S106), and the processes in and after step S102 are repeatedly executed. On the other hand, if the end designated date is reached in step S105, the temporarily stored keyword list is output to the keyword storage unit 122, and the process ends.

  Returning to FIG. The program selection unit 123 refers to the program information stored in the program information storage unit 10 and the keyword list stored in the keyword storage unit 122, and the keyword extracted by the keyword extraction unit 121 is included in the program content information. Select a program. Program information relating to one or more programs selected by the program selection unit 123 is stored in the recommended program storage unit 13.

  Note that the program selection unit 123 may also perform program selection using keywords related to programs included in the user's viewing history and program recording history that have been conventionally performed. As shown in FIG. 4, when priority is given to a keyword, the program selection unit 123 may determine whether or not to select a recommended program based on the priority of the keyword. For example, a predetermined number of programs may be selected as recommended programs in order from the program related to the keyword with the highest priority. In addition, a program in which the total priority of related keywords exceeds a predetermined threshold value may be selected as a recommended program.

  In the case where the program selection unit 123 performs not only the keyword extracted from the user schedule information but also the program selection by another keyword having a different extraction source such as the keyword extracted from the viewing history or the recording history, A program related to the keyword extracted from the user schedule information may be preferentially selected as a recommended program by giving a relatively high priority to the keyword extracted from the schedule information.

  The recommended program storage unit 13 stores one or a plurality of recommended program information determined by the recommended program determination unit 12. The recommended program information stored in the recommended program storage unit 13 may be information that can identify each recommended program, and may be program information related to the recommended program, for example. Further, the recommended degree information of the program determined according to the priority of the keyword may be stored in the recommended program storage unit 13 in association with the program information related to the recommended program.

  Finally, the recording reservation unit 14 refers to the recommended program storage unit 13 and performs recording reservation for the program determined as the recommended program. Note that the recording reservation unit 14 does not necessarily have to make a recording reservation for all recommended programs. For example, the recording reservation unit 14 may compare the current date and time with the delivery date and time of the recommended program, and determine a recommended program to be reserved for recording according to the delivery date and time of the recommended program. In addition, when the recommended program recommendation level is held in the recommended program storage unit 13, the recording reservation unit 14 sets a program having a relatively high recommendation level or a program whose recommendation level is higher than a predetermined threshold as a target of recording reservation. Also good.

  As described above, the program recommendation device 1 according to the present embodiment searches for program information using a keyword extracted from user schedule information indicating a user's action schedule, and recommends a program including the keyword in the program information. Decide on a program. Accordingly, it is possible to determine a recommended program that reflects the user's future action schedule and is adapted to the user's current or future preferences.

  Note that the program recommendation device 1 according to the present embodiment can be specifically configured by a computer system such as a PC having hardware capable of receiving a television broadcast, for example. FIG. 6 shows a configuration example by a computer system. The computer system shown in FIG. 6 encodes a CPU (Central Processing Unit) 501, a RAM 502, a TV tuner 503 that receives a television broadcast, and video data received by the TV tuner 503 into a format suitable for storage, and a recording medium ( A video capture 504, a communication interface 505, and a storage device 506, which are stored in a memory (not shown). The program recommendation execution program 507 held in the storage device 506 is a program for causing the computer system to execute the processes performed by the keyword extraction unit 121, the program selection unit 123, and the recording reservation unit 14. The instructions described in the program recommendation execution program 507 are executed by the CPU 501, whereby the computer system in FIG. 6 operates as the program recommendation device 1. Note that the storage device 506 may be a plurality of physically independent storage devices.

  The program recommendation device 1 according to the present embodiment can be used for various devices such as a television broadcast recording device and a portable terminal capable of receiving the television broadcast. The same applies to other embodiments of the invention described below.

Embodiment 2 of the Invention
FIG. 7 is a functional block diagram of the program recommendation device 2 according to the present embodiment. The program recommendation device 2 differs from the program recommendation device 1 according to the first embodiment of the invention described above in the recommended program determination unit 22. Since the other components are the same as those of the program recommendation device 1, the same reference numerals are given and detailed description thereof is omitted.

  The recommended program determination unit 22 receives the program information stored in the program information storage unit 10 and the user schedule information stored in the user schedule information storage unit 11, and recommends it to the user from the programs included in the program information. The program is determined, and the determined list of one or more recommended programs is output to the recommended program storage unit 13.

  The recommended program determination unit 22 includes a keyword extraction unit 221, a keyword storage unit 222, and a program selection unit 223. The keyword extraction unit 221 extracts a character string to be a keyword from the action content information included in the user schedule information, and outputs the extracted keyword in association with the action time information.

  The keyword storage unit 222 stores one or more keywords extracted by the keyword extraction unit 221. Similar to the user schedule information storage unit 11, the specific configuration of the keyword storage unit 222 for storing the keyword list is not particularly limited.

  An example of the keyword list stored in the keyword storage unit 222 is shown in FIG. In the example of FIG. 8, in addition to the keyword 2221 and the keyword priority 2223 extracted from the action content information included in the user schedule information, time information 2222 is stored in association with each other. The time information 2222 corresponds to the action time recorded in the user schedule information as the scheduled time when the action content from which the keyword is extracted is executed. Note that the data structure in FIG. 8 is an example. For example, the keyword list may not hold the keyword priority 2223.

  Here, an example of a keyword extraction processing procedure by the keyword extraction unit 221 is shown in FIG. Other processes in the flowchart of FIG. 9 except for step S201 are the same as the processing contents of the keyword extraction unit 121 shown in FIG. In step S201, the keyword extracted in step S103 is temporarily stored together with the reading date. Thereby, in step S107, the keyword list in which the extracted keyword and the action time are associated as shown in FIG. 8 can be output.

  Returning to FIG. The program selection unit 223 refers to the program information stored in the program information storage unit 10 and the keyword list stored in the keyword storage unit 222, and the keyword extracted by the keyword extraction unit 221 is included in the program content information. In addition, a program whose distribution time is included within the effective period determined according to the time information associated with the keyword is selected. Program information relating to one or a plurality of programs selected by the program selection unit 223 is stored in the recommended program storage unit 13. The keyword validity period may be set, for example, including a predetermined period before the action time associated with the action content information from which the keyword is extracted. Moreover, you may determine including the predetermined period before and behind the action time matched with the action content information of the keyword extraction origin.

  As with the program selection unit 123 according to the first embodiment of the present invention, the program selection unit 223 may perform program selection using the viewing history or the program recording history, or program selection considering keyword priority. .

  As described above, the program recommendation device 2 according to the present embodiment searches for program information using a keyword extracted from user schedule information indicating a user's action schedule, and recommends a program including the keyword in the program information. Decide on a program. Accordingly, it is possible to determine a recommended program that reflects the user's future action schedule and is adapted to the user's current or future preferences. Furthermore, since the program recommendation device 2 uses the keyword validity period extracted from the user schedule information for determining a recommended program, it is possible to recommend the program in a timely manner.

Embodiment 3 of the Invention
FIG. 10 is a functional block diagram of the program recommendation device 3 according to the present embodiment. The program recommendation device 3 differs from the program recommendation device 1 according to the first embodiment of the invention described above in the recommended program determination unit 32. Since the other components are the same as those of the program recommendation device 1, the same reference numerals are given and detailed description thereof is omitted.

  The recommended program determination unit 32 inputs the program information stored in the program information storage unit 10 and the user schedule information stored in the user schedule information storage unit 11, and recommends to the user from the programs included in the program information. The program is determined, and the determined list of one or more recommended programs is output to the recommended program storage unit 13.

  The recommended program determination unit 32 includes a schedule analysis unit 321, an analysis result storage unit 322, and a program selection unit 323. The schedule analysis unit 321 inputs user schedule information, and determines a time (hereinafter referred to as an estimated absence time) that the user is likely to be absent. In other words, the estimated absence time is a time estimated that the program cannot be viewed by the user.

  An example of a processing procedure of schedule analysis by the schedule analysis unit 321 will be described with reference to a flowchart of FIG. In FIG. 12, the other processes except for steps S301 to S304 are the same as the processing contents of the keyword extraction unit 221 shown in FIG. In step S301, the possibility of the user being at home is determined from the keywords extracted in step S103. For example, it is determined that there is a high possibility that the extracted keyword is absent when the extracted keyword does not match the keyword stored in advance as being related to the action content indicating home, or when the correlation is low. If it is determined that there is a high possibility of being absent, the keyword reading date and time is temporarily stored as the estimated absence time (steps S302 and S303). After repeating the process up to the designated end date, a list of estimated absence times temporarily stored is output to the analysis result storage unit 322 (step S304).

  The analysis result storage unit 322 stores the estimated absence time determined by the schedule analysis unit 321. Similar to the user schedule information storage unit 11, the specific configuration of the analysis result storage unit 322 for storing the estimated absence time is not particularly limited.

  An example of the estimated absence time list stored in the analysis result storage unit 322 is shown in FIG. In the example of FIG. 11, the estimated absence time 3221 determined by the schedule analysis unit 321 is indicated by the start date and time and the end date and time or time of the period estimated to be absent.

  The program selection unit 323 refers to the program information stored in the program information storage unit 10 and the estimated absence time list stored in the analysis result storage unit 322, and sets the distribution time of the program to the unviewable time, that is, the estimated absence time. A recommended program is selected according to whether it is included. More specifically, the program selection unit 323 according to this embodiment selects a program whose program distribution time is included in the estimated absence time as a recommended program. Program information relating to one or more programs selected by the program selection unit 323 is stored in the recommended program storage unit 13. Note that the program selection unit 323 may perform program selection using a viewing history or a program recording history, similar to the program selection unit 123 of the first embodiment of the invention. Moreover, you may perform the program selection using the keyword extracted from the user schedule information shown in Embodiment 1 or 2 of the invention mentioned above.

  As described above, the program recommendation device 3 according to the present embodiment determines the user's unviewable time based on the user schedule information indicating the user's action schedule, and the distribution time is included in the unviewable time. Select a program as a recommended program. Thereby, a user's future action schedule is reflected and the program recommendation adapted to a user's present or future lifestyle can be performed.

Embodiment 4 of the Invention
FIG. 13 is a functional block diagram of the program recommendation device 4 according to the present embodiment. The program recommendation device 4 differs from the program recommendation device 3 according to the third embodiment of the invention described above in the viewing history information storage unit 41 and the recommended program determination unit 42. Since the other components are the same as those of the program recommendation device 3, the same reference numerals are given and detailed description thereof is omitted.

  The viewing history information storage unit 41 stores program information of programs that have been viewed by the user in the past. The program information stored in the viewing history information storage unit 41 may be information regarding a program viewed in real time by the user, or may include information regarding a program viewed by the user after being recorded once. The viewing history information storage unit 41 may be a non-volatile storage device such as a hard disk drive or a flash memory, or may be a volatile storage device such as DRAM or SRAM.

  The recommended program determination unit 42 includes a schedule analysis unit 321, an analysis result storage unit 322, and a program selection unit 423. Among these, the schedule analysis unit 321 and the analysis result storage unit 322 are the same as those in the third embodiment of the present invention described above.

  The program selection unit 423 refers to the viewing history held in the viewing history information storage unit 41 to select a program with a high viewing frequency by the user, and the distribution time of the program with a high viewing frequency is an unviewable time, that is, an estimated absence time When it is determined that the program is included in the program, a program with a high viewing frequency is selected as a recommended program. An example of a program selection processing procedure by the program selection unit 423 will be described with reference to the flowchart of FIG. First, in step S401, the viewing history information stored in the viewing history information storage unit 41 is referred to, and a program whose user viewing frequency is equal to or higher than a predetermined frequency is selected. Next, in step S402, with reference to the schedule analysis result held in the analysis result storage unit 322, among the programs with high viewing frequency selected in step S401, the program whose distribution time is included in the estimated absence time Select. Finally, in step S403, the program information held in the program information storage unit 10 is referred to, and the program included in the estimated absence time in step S402 is selected as a recommended program.

  Program information relating to one or more programs selected by the program selection unit 423 is stored in the recommended program storage unit 13. The program selection unit 423 may also perform program selection using keywords extracted from the user schedule information as shown in the first or second embodiment of the invention.

  As described above, the program recommendation device 4 according to the present embodiment determines the user's unviewable time based on the user schedule information indicating the user's action schedule, and the program whose distribution time is included in the unviewable time To the recommended program. Thereby, a user's future action schedule is reflected and the program recommendation adapted to a user's present or future lifestyle can be performed. Further, the program recommendation device 4 refers to the past viewing history together with the user schedule, and when it is determined that it is difficult to view the program that is normally viewed in real time without recording, this program is displayed. A recommended program can be selected and this program can be preferentially recorded.

  In the first to fourth embodiments of the present invention described above, the case where a program designated as a recommended program is preferentially scheduled for recording has been described. However, the recommended program determined by the program recommendation device according to the embodiment of the present invention may be used for processing other than recording reservation. For example, the program information of the recommended program determined by the program recommendation device according to the embodiment of the present invention may be displayed on a display device (not shown), or another device (not compatible) that can communicate via a communication line. The program information of the recommended program may be transmitted to (shown).

  Furthermore, the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention described above.

It is a block diagram of the program recommendation apparatus concerning Embodiment 1 of invention. It is a figure which shows the data structure of program information. It is a figure which shows the data structure of user schedule information. It is a figure which shows an example of an extraction keyword list. It is a flowchart which shows the process sequence of keyword extraction. It is a figure which shows the specific structural example of the program recommendation apparatus concerning Embodiment 1 of invention. It is a block diagram of the program recommendation apparatus concerning Embodiment 2 of invention. It is a figure which shows an example of an extraction keyword list. It is a flowchart which shows the process sequence of keyword extraction. It is a block diagram of the program recommendation apparatus concerning Embodiment 3 of invention. It is a figure which shows an example of a schedule analysis result. It is a flowchart which shows the process sequence of a schedule analysis. It is a block diagram of the program recommendation apparatus concerning Embodiment 4 of invention. It is a flowchart which shows the process sequence of a program selection.

Explanation of symbols

1, 2, 3, 4 Program recommendation device 10 Program information 11 User schedule information 12, 22, 32, 42 Recommended program determination unit 13 Recommended program storage unit 14 Recording reservation unit 41 Viewing history information storage unit 121, 221 Keyword extraction unit 122 , 222 Keyword storage unit 123, 223, 323, 423 Program selection unit 321 Schedule analysis unit 322 Analysis result storage unit 501 CPU
502 RAM
503 TV tuner 504 Video capture 505 Communication interface 506 Storage device 507 Program recommended execution program

Claims (18)

A program information storage unit for storing electronic program information including program content information and distribution time information regarding each of a plurality of programs to be distributed;
A schedule information storage unit for storing electronic schedule information including user action content information and action time information;
A recommended program that inputs the program information stored in the program information storage unit and the schedule information stored in the schedule storage unit, and determines a recommended program from the plurality of programs based on the program information and the schedule information A decision unit;
A program recommendation device comprising: The recommended program determination unit
A keyword extraction unit for extracting a keyword included in the action content information;
A program selection unit that refers to the program content information and selects a program whose keyword is included in the program content information as a recommended program;
The program recommendation device according to claim 1. The recommended program determination unit
A keyword extraction unit that extracts keywords included in the action content information in association with the action time information;
With reference to the program content information and the distribution time information, the keyword is included in the program information, and distribution is performed within an effective period determined according to the action time information associated with the keyword. A program selection unit for selecting a program including time as a recommended program;
The program recommendation device according to claim 1.   The program recommendation device according to claim 3, wherein the effective period is set including a predetermined period before an action time associated with the action content information from which the keyword is extracted. The recommended program determination unit
A schedule analysis unit for determining a viewable time or a non-viewable time by the user based on the action content information and the action time information;
A program selection unit that refers to the distribution time information and selects a recommended program according to whether the distribution time of the program is included in the viewable time or whether it is included in the unviewable time When,
The program recommendation device according to claim 1, comprising:   The program recommendation device according to claim 1, further comprising a recording reservation unit that preferentially reserves recording of the recommended program. A viewing history storage unit for accumulating history information of the viewed programs;
A recording reservation unit for preferentially recording recording of the recommended program;
The recommended program determination unit further comprises:
Based on the action content information and the action time information, determine the non-viewable time by the user,
Select a program with high viewing frequency by referring to the history information,
2. The program according to claim 1, wherein when the distribution time of the program with high viewing frequency is determined to be included in the non-viewable time with reference to the distribution time information, the program with high viewing frequency is set as the recommended program. The recommended program device. Input electronic program information including program content information and distribution time information regarding each of a plurality of programs to be distributed,
Enter electronic schedule information including user action content information and action time information,
A program recommendation method for determining a recommended program from the plurality of programs based on the program information and the schedule information. The recommended program is determined as follows:
Extracting keywords included in the action content information;
The program recommendation method according to claim 8, wherein the program recommendation method is performed by referring to the program content information and selecting a program whose keyword is included in the program content information as a recommended program. The recommended program is determined as follows:
Extracting keywords included in the action content information in association with the action time information;
With reference to the program content information and the distribution time information, the keyword is included in the program information, and distribution is performed within an effective period determined according to the action time information associated with the keyword. The program recommendation method according to claim 8, wherein the program recommendation is performed by selecting a program including time as a recommended program. The recommended program is determined as follows:
Based on the action content information and the action time information, determine the viewable time or the non-viewable time by the user,
Referring to the distribution time information, the recommended program is selected depending on whether the distribution time of the program is included in the viewable time or whether it is included in the non-viewable time. The program recommendation method according to claim 8. The recommended program is determined as follows:
Based on the action content information and the action time information, determine the non-viewable time by the user,
Select a program with high viewing frequency by referring to the history information,
9. When the distribution time information is referred to and it is determined that the distribution time of the program with high viewing frequency is included in the non-viewable time, the program with high viewing frequency is set as the recommended program. Program recommended method of mention.   The program recommendation method according to any one of claims 8 to 12, wherein the recording reservation of the recommended program is preferentially executed. On the computer,
A process of inputting electronic program information including program content information and distribution time information regarding each of a plurality of programs to be distributed;
A process of inputting electronic schedule information including user action content information and action time information;
A process of determining a recommended program from the plurality of programs based on the program information and the schedule information;
A program for executing program recommendation processing including The recommended program determination process is as follows:
Extracting keywords included in the action content information;
The program according to claim 14, further comprising: referring to the program content information, and selecting a program whose keyword is included in the program content information as a recommended program. The recommended program determination process is as follows:
Extracting keywords included in the action content information in association with the action time information;
With reference to the program content information and the distribution time information, the keyword is included in the program information, and distribution is performed within an effective period determined according to the action time information associated with the keyword. The program according to claim 14, comprising a process of selecting a program including time as a recommended program. The recommended program determination process is as follows:
Based on the action content information and the action time information, determine the viewable time or the non-viewable time by the user,
A process of referring to the distribution time information and selecting a recommended program according to whether the distribution time of the program is included in the viewable time or whether it is included in the non-viewable time. The program according to claim 14. The recommended program determination process is as follows:
Based on the action content information and the action time information, determine the non-viewable time by the user,
Select a program with high viewing frequency by referring to the history information,
A process of referring to the distribution time information, and determining that the program with high viewing frequency is included in the viewing impossible time when the distribution time of the program with high viewing frequency is included in the non-viewable time. Item 15. The program according to Item 14.

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