JP2008072379A - Information providing system, information providing device, information providing program, and information collecting method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system for providing recommended data of a program useful for a user. <P>SOLUTION: An information providing device 1 comprises reservation information data 12, extraction function data 31 for extracting an item, an extraction process part 21 which stores the extraction result data that contain extracted items, total function data 32 for totaling the extraction result data, a total processing part 22 which extracts an index value for the item by totaling the extraction result data and stores basic data 41 in which an item is related to an index value, a communication process part 51 which transmits user ID and basic data 41 to an information collecting device 2, and a recommended result display part 23 in which the recommended result data outputted based on the basic data 41 and the user ID are received from the information collecting device 2 and are displayed. The information collecting device 2, based on the basic data 41, generates recommended result data containing a program ID which is recommended to a user from a recommended all data 91 in which the information about all recommended programs are related, and transmits it to the information providing device 1. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an information providing apparatus owned by a user, and information collection for generating recommendation result data for recommending content to the user based on information received from the information providing apparatus via a communication network and transmitting the recommended result data to the information providing apparatus The present invention relates to an information providing system including the apparatus, an information providing apparatus of the information providing system, an information providing program, and an information collecting method used for the information collecting apparatus.

  With the recent development of communication networks and information devices, it has become possible to provide information that meets the various hobbies and preferences of users. Specifically, in the broadcasting industry such as television, the number of channels that can be broadcast has increased due to improvements in broadcasting equipment and communication bands. As a result, the user has been able to view a program that matches the taste of each person, while previously viewing the program broadcast for everyone. Furthermore, with the spread of products such as hard disk recorders, users can record programs in a space-saving manner without changing media, and enjoy the programs at any time.

  On the other hand, with the increase in the number of programs, the degree of difficulty for users to search for programs that suit their tastes has increased. Furthermore, if only watching programs that meet the user's preference, searching for new programs may be costly. In view of such a situation, development of a method for providing program guide data which is a list of programs recommended to the user is expected.

  In order to solve such a problem, it is known to recommend a television program to be viewed next based on a history of viewing or recording reservation of the television program (for example, Patent Document 1). The program selection support apparatus described in Patent Document 1 is installed in a hard disk recorder or the like, and acquires a program selected and input by a user from a program guide and EPG data of a program input by the user to the program reservation means. Generates multiple profiles that are recorded by associating the obtained EPG data with a keyword dictionary and the profile attribute value obtained by counting the appearance frequency of the text and the profile value obtained by adding different addition values depending on the type of text. User preference learning means, recommended program determination means for determining a recommended program from the sum of profile values obtained from a plurality of profiles generated by the user preference learning means, and a recommended program determined by the recommended program determination means Recommended program display means.

On the other hand, a technique is also known in which a user's action history such as program recording information is uploaded to a server from a device such as a hard disk recorder, the history is analyzed on the server side, and a TV program to be viewed next is recommended. . This method enables recommendation using the behavior history of each user based on information on a plurality of devices connected to the server. Furthermore, it is also possible to execute a recommendation process that requires a higher processing capacity than that of a single device by using the rich calculation capability of the server.
Japanese Patent No. 3654173

  However, according to the technique of Patent Document 1 described above, since it is mounted inside a hard disk recorder or the like, there is a problem that processing that requires computational capability cannot be executed due to the limitation of listening processing capability. Moreover, only recommendation by the processing of this device alone can be performed, and there is a high possibility that there is a difference from the actual user preference.

  Also, uploading the device action history to the server, analyzing the history on the server side, and recommending the TV program to be watched next, upload the action history that can be acquired by the device to the server. To do. At this time, if there is work name information that can be used only by the device due to copyright, information that is analyzed and meaningful only by the device due to various restrictions cannot be uploaded to the server. Therefore, there is a problem that the server side cannot accurately grasp the user's behavior in the device.

  Furthermore, the software used in such a “so-called embedded device” is a kind of firmware. Therefore, there is a problem that the software inside the device cannot be easily and frequently upgraded unlike software used in a computer. Therefore, there is a problem that even if a predetermined processing can be realized by a device at a certain time, it cannot be guaranteed that the processing method will function effectively in the future. For example, there is a possibility that the contents of processing that the device has to process may change due to a change in technology or standard.

  In order to solve such problems, it is expected to develop a system that provides recommended data for programs useful to users.

  In view of the above-described problems, an object of the present invention is to provide an information providing system, an information providing apparatus, an information providing program, and an information collecting method that provide recommendation data of a program useful to a user.

  In order to solve the above problems, a first feature of the present invention is that an information providing device owned by a user and recommendation result data for recommending a program to the user based on information received from the information providing device via a communication network The present invention relates to an information providing system including an information collecting device that generates and transmits information to the information providing device. That is, the information providing apparatus of the information providing system according to the first feature of the present invention is an operation target program information data storage for storing operation target program information data in which information on a program that is a user's operation target is stored in a storage device. An extraction function data storage unit for storing, in a storage device, extraction function data for extracting items from the operation target program information data, and reading out the operation target program information data and the extraction function data from the storage device, An extraction processing unit that stores, in a storage device, extraction result data including items extracted from operation target program information data based on the data, and an aggregation function that stores aggregation function data for aggregating the extraction result data in the storage device Read the extraction result data and aggregate function data from the data storage unit and the storage device, and aggregate the extraction result data based on the aggregate function data. Calculates index values for the eyes, collects basic data associating items and index values in a storage device, and collects information on user IDs and basic data for identifying users by reading the basic data from the storage device A communication processing unit that transmits to the device, and a recommendation result display unit that receives the recommendation result data output based on the basic data and the user ID from the information collection device and displays the recommendation result data on the display device. Upon receiving the basic data and the user ID, based on the basic data, a recommendation result including a program ID recommended to the user from all the recommendation target data in which the program ID for identifying all the programs to be recommended and the program information are associated. A recommendation result transmitting unit that generates data and transmits the data to the information providing apparatus.

  Here, the operation target program information data is one or more of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of the program recorded by the user It is.

  In the information providing system according to the first feature of the present invention, even if the information can be obtained only by the information providing apparatus by performing temporary processing in advance inside the information providing apparatus, the information providing apparatus Thus, it can be uploaded to the information collecting device. Therefore, the information providing apparatus according to the first feature of the present invention can receive recommendation result data of a more appropriate program and recommend a program useful to the user.

  Furthermore, the information collection device may include a function data storage unit that stores, in a storage device, extraction function data and aggregation function data processed by the information providing device. At this time, the recommendation result transmission unit of the information collection device further reads the extraction function data and the aggregation function data from the storage device and transmits them to the information provision device. When the communication processing unit of the information providing apparatus further receives new extracted function data and new aggregate function data from the information collecting apparatus, it stores them in the storage device.

  In this way, by transmitting the algorithm to be processed from the information collecting apparatus to the information providing apparatus, it is possible to easily and frequently update the processing means inside the information providing apparatus. As a result, the information providing apparatus can always provide the user with recommended program recommendation data.

  A second feature of the present invention is a device owned by a user, which transmits information to the information collecting device via a communication network, and is transmitted by the information collecting device based on the information and recommends a program to the user The present invention relates to an information providing apparatus for receiving data. An information providing apparatus according to a second feature of the present invention includes an operation target program information data storage unit that stores operation target program information data in which information on a program that is a user's operation target is stored, and an operation target An extraction function data storage unit for storing extraction function data for extracting items from program information data in a storage device, and reading operation target program information data and extraction function data from the storage device, and an operation target based on the extraction function data An extraction processing unit that stores in the storage device extraction result data including items extracted from the program information data, and a totaling function data storage unit that stores totaling function data for totaling the extraction result data in the storage device; Reads the extraction result data and aggregate function data from the storage device, aggregates the extraction result data based on the aggregate function data, and calculates the index value for the item And a totalization processing unit that stores basic data in which the items and index values are associated with each other in the storage device, and communication processing that reads the basic data from the storage device and transmits a user ID and basic data for identifying the user to the information collecting device. A recommendation result display unit that receives recommendation result data output based on the basic data and the user ID from the information collection device and displays the recommendation result data on the display device.

  Here, the operation target program information data is one or more of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of the program recorded by the user It is.

  Further, the communication processing unit may store the new extraction function data and the new totaling function data from the information collecting device in the storage device when they are received.

  A third feature of the present invention is a program used for an apparatus owned by a user, which transmits information to the information collecting apparatus via a communication network, and transmits the program to the user by the information collecting apparatus based on the information. The present invention relates to an information providing program used in an information providing apparatus that receives recommendation result data to be recommended. That is, the information providing program according to the third aspect of the present invention includes an operation target program information data storage unit that stores operation target program information data in which information on a program that is a user's operation target is stored, and an operation An extraction function data storage unit that stores, in a storage device, extraction function data for extracting items from the target program information data, and reads out operation target program information data and extraction function data from the storage device, and operates based on the extraction function data. An extraction processing unit that stores, in a storage device, extraction result data including items extracted from the target program information data; and a totaling function data storage unit that stores totaling function data for totaling the extraction result data in the storage device; , Read the extraction result data and aggregate function data from the storage device, aggregate the extraction result data based on the aggregate function data, A tally processing unit that calculates a standard value and stores basic data in which the items and index values are associated with each other is stored in the storage device, and reads out the basic data from the storage device, and a user ID for identifying the user and the basic data are stored in the information collecting device. The computer realizes a communication processing unit to be transmitted and a recommendation result display unit that receives recommendation result data output based on the basic data and the user ID from the information collection device and displays the recommendation result data on the display device.

  Here, the operation target program information data is one or more of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of the program recorded by the user It is.

  Further, the communication processing unit may store the new extraction function data and the new totaling function data from the information collecting device in the storage device when they are received.

  According to a fourth aspect of the present invention, there is provided an information collecting apparatus for generating recommendation result data for recommending a program to a user based on information received from an information providing apparatus owned by the user via a communication network and transmitting the recommendation result data to the information providing apparatus. It is related with the information collection method used for. That is, in the information collecting apparatus according to the fourth feature of the present invention, the communication processing unit is generated based on the operation target program information data in which the information of the program that is the user's operation target is stored, and shows the user's preference. Receiving the basic data associated with the item and the index value for the item, the user ID for identifying the user from the information providing device and storing it in the storage device, and the extraction processing unit from the storage device all the recommended objects The data is read out, the item that is a character string indicating the characteristics of the program and the index value of the item are calculated from the program information of the program ID included in all recommended data, and the extracted index data is output to the extracted information data. And the preference learning processing unit reads the extracted information data from the storage device, and based on the basic data, the user's preference and the feature of the extracted information data program A step of extracting similar program IDs and outputting them to learning information result data, and a recommendation result transmission unit reads learning information result data from the storage device, and recommends result data including a program ID recommended to the user. Generating and transmitting the information to the information providing apparatus.

  According to the present invention, it is possible to provide an information providing system, an information providing apparatus, an information providing program, and an information collecting method that provide recommendation data of a program useful to a user.

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

(Best Embodiment)
(Information provision system)
An information providing system 10 according to the best embodiment of the present invention will be described with reference to FIG. The information providing system 10 includes an information providing device 1 and an information collecting device 2. The information providing apparatus 1 and the information collecting apparatus 2 are connected to be able to communicate with each other via a communication network such as the Internet.

  The information providing apparatus 1 is a device owned by a user, and is mounted on a content recorder such as a hard disk recorder, for example. The recorder stores a broadcast program distributed from a broadcast distribution device installed in a broadcast station or the like in a storage device by a user operation. The information providing apparatus 1 generates basic data based on user preferences based on information such as broadcast program reservation information and recorded information stored in the storage device of the recorder, such as programs targeted for user actions. This is a device that transmits to the information collecting device 2, receives recommendation result data of a program that matches the user's preference, and displays it on the display device. The information providing apparatus 1 includes a display device that displays operation guidance for the information providing apparatus 1 and an input device that operates the information providing apparatus 1.

  The information collecting device 2 is connected to a plurality of information providing devices used by each user. The information collecting device 2 is a device that creates recommendation result data for recommending a program to the user based on information received from the information providing device 1 via the communication network and transmits the recommendation result data to the information providing device 1.

  Hereinafter, the information providing apparatus 1 and the information processing apparatus 2 will be described in detail.

(Information provision device)
In the best mode of the present invention, a case where the information providing apparatus 1 according to the present invention is mounted in a recorder such as a hard disk will be described.

  Here, the configuration of the recorder will be described in detail. The recorder can record data such as a program broadcast on a broadcasting station, and includes a user instruction input unit, a tuner, an encoder, a program information acquisition unit, a control unit, a clock, a storage device, and the like. In the user instruction input unit, the user inputs an instruction to make a reservation for recording a program scheduled to be broadcast from now on, or to record a program that is currently being viewed. Based on the operation of the user instruction input unit, the tuner extracts the broadcast of the designated channel from the broadcast signal, extracts the image signal and the video signal, and inputs them to the encoder. The encoder receives the image signal and the audio signal input from the tuner, performs processing such as compression, generates image data and audio data, and stores them in the storage device. The program information acquisition unit receives program information such as EPG via the communication network and stores it in the storage device. Based on an instruction from the user instruction input unit, the control unit acquires a program at a designated time and stores the program in a storage device or records a currently viewed program in the storage device. In the case of a broadcast program, when a recording or reservation instruction for storing the broadcast program in the storage device is input from the user instruction input unit by a user operation, the control unit records the program data distributed from the broadcast distribution device. Alternatively, only the content to be reserved may be extracted and stored in the storage device. For on-demand content, the control unit transmits the program ID of the program to be recorded or reserved together with the identifier of the recorder to the broadcast distribution apparatus, receives the program data of the program to be recorded or reserved, and stores it. You may memorize. The controller may be replaced by a computer with a tuner, a television with a recording function, or the like as long as the controller is connected to a communication network and can receive broadcasts.

  The information providing apparatus 1 according to the preferred embodiment of the present invention includes program information data 11, reservation information data 12, recorded information data 13, video information data 14, extraction function data 31, aggregation function data 32, and basic data 41. , An extraction processing unit 21, a totaling processing unit 22, and a recommendation result display unit 23.

  The program information data 11, the reservation information data 12, the recorded information data 13 and the video information data 14 are operation target program information data in which information on a program that is a user's operation target is stored.

  As shown in FIG. 2, the program information data 11 is data in which information related to a program is associated with a program ID for identifying the program as a key. The program information data 11 is, for example, EPG (Electric Program Guide) or the like, and is text data indicating the content of a program distributed from a broadcast distribution apparatus through a communication network or a radio wave network. The program information data 11 may include not only program information of broadcast programs distributed to all users, but also program information of broadcast programs that match user preferences. In the program information data 11, information such as the broadcast start date / time, broadcast end date / time, broadcast channel ID, title, genre, story, performer, and video format of the program is associated with the program ID.

  As shown in FIG. 3, the reservation information data 12 is data in which information related to a reserved program is associated with a reservation ID for identifying a recording reservation of the program by the user as a key. The reservation information data 12 is text data indicating the content of the broadcast program that the user has reserved for recording in the recorder. In the reservation information data 12, information such as the broadcast start date / time, broadcast end date / time, broadcast channel ID, title, genre, story, performer, video format, etc. of the program reserved for recording is associated with the reservation ID.

  As shown in FIG. 4, the recorded information data 13 is data in which information related to a recorded program is associated with a recording ID for identifying recording of the program by the user as a key. The recording information data 13 is text data indicating the contents of the broadcast program recorded by the user on the recorder. In the recorded information data 13, information such as the broadcast start date / time, broadcast end date / time, broadcast channel ID, title, genre, story, performer, and video format of the recorded program is associated with the recording ID.

  As shown in FIG. 5, the video information data 14 is data in which information about a recorded video is associated with a video ID for identifying a video recorded by a user as a key. The video information data 14 is text data indicating the content of the video recorded by the user on the recorder. In the video information data 14, information such as the playback start time of the recorded video, the information recording start date and time, the information source, the title, the genre, the story, the performer, and the video format are associated with the video ID.

  The extraction function data 31 and the aggregation function data 32 are data of processing algorithms that are referred to by the extraction processing unit 21 and the aggregation processing unit 22 of the information providing apparatus 1.

  The extraction function data 31 is data for extracting items from the operation target program information data. As shown in FIG. 6, the extraction function data 31 is stored in association with a server ID, a service ID, a reception date and time, an execution start date and time, an expiration date and time, an arithmetic expression, and an extraction result ID using the extraction function ID as a key. Yes. The server ID is an ID for identifying the information collection device 2 that has transmitted the arithmetic expression of this extraction function. The service ID is an ID for identifying a service when the information collection device 2 uses a plurality of services for transmitting recommendation result data. The reception date and time is the date and time when data including this arithmetic expression is received from the information collection device 2. The execution start date / time is the start date / time of the period calculated using this arithmetic expression, and the expiration date / time is the end date / time of the period calculated using this arithmetic expression.

  The arithmetic expression is an algorithm that causes the extraction processing unit 21 to process. The arithmetic expression includes items such as a storage destination ID, an extraction target information ID, an extraction target column name, and an extraction calculation. The storage destination ID is an identifier indicating the position of the temporary storage device in which the result calculated by this arithmetic expression is stored. The extraction target information ID is an identifier of data to be extracted. Specifically, the extraction target information ID is an identifier of program information data 11, reservation information data 12, recorded information data 13, video information data 14, and the like. The extraction target column name is the column name of each data indicated by the extraction target information ID to be extracted. When the extraction target information ID is an identifier of program information data, the extraction target column names are “title”, “genre”, “performer”, “story”, and the like. In the extraction calculation, conditions for extracting from the data stored in the column name indicated by the extraction target column name among the data indicated by the extraction target ID are stored. In the extraction operation, conditions such as “extract a character string that completely matches the specified character string S” and “extract a character string that matches the specified regular expression R” are expressed in a machine-readable format. It is data. The extraction result ID corresponds to the extraction function ID and is an identifier for identifying the result extracted based on the arithmetic expression. This result is a character string that is a result calculated by the extraction operation from the data stored in the extraction target column name of the data identified by the extraction target information ID. In this specification, the character string extracted by the extraction function is referred to as “item”.

  The aggregation function data 32 is data for aggregating the extraction result data. As shown in FIG. 7, the aggregation function data 32 stores the server ID, the service ID, the reception date and time, the execution start date and time, the expiration date and time, the arithmetic expression and the extraction result ID in association with each other using the aggregation function ID as a key. Yes. The server ID is an ID for identifying the information collection device 2 that has transmitted the calculation formula of the aggregation function. The service ID is an ID for identifying a service when the information collection device 2 uses a plurality of services for transmitting recommendation result data. The reception date and time is the date and time when data including this arithmetic expression is received from the information collection device 2. The execution start date / time is the start date / time of the period calculated using this arithmetic expression, and the expiration date / time is the end date / time of the period calculated using this arithmetic expression.

  The arithmetic expression is an algorithm to be processed by the aggregation processing unit 22. The arithmetic expression includes items such as a storage destination ID, an extraction result ID, an extraction target column name, an extraction result target item, and a total calculation. The storage destination ID is an identifier indicating the position of the temporary storage device in which the result calculated by this arithmetic expression is stored. The extraction result ID is an identifier of data to be aggregated, and specifically, is an extraction result ID defined by the aggregation function data 32. The extraction target column name is the column name of the operation target program data such as the program information data 11 in which the items to be counted are described. The extraction result target item is an item to be aggregated, specifically, each item included in the extraction result data calculated by the extraction processing unit 21. The tabulation calculation is data representing data extraction, a recording method, and a calculation calculation method for recording. For example, a calculation formula such as “when a character string that completely matches a specified character string S is extracted, a value corresponding to the character string S of the basic data is extracted and incremented by one” is read by a machine reading Data expressed in a possible format. The tabulation result ID corresponds to the tabulation function ID and is an identifier for identifying the tabulated result based on the arithmetic expression. This result is stored in the storage device as basic data 41.

  The basic data 41 is data including information regarding the preference of the user using the information providing apparatus 1. As shown in FIG. 8, the basic data 41 is associated with the update date and item ID using the basic data ID as a key. A plurality of item IDs are associated with the basic data ID. The item ID is an ID for identifying the item, and one combination of the item and the index value may be associated with the item ID. Here, the item is a character string that is extracted by the extraction processing unit 21 and is to be aggregated by the aggregation processing unit 22. The index value is an index value calculated by the aggregation processing unit 22 and indicating the user's preference for this item. In the best mode of the present invention, items extracted from the column name “genre” (extraction result target items) are tabulated for each item, and the item ID and item are displayed in the “genre” of the basic data 41. The name and index value are output in association with each other. Items extracted from the column name “performer” (extraction result target items) are aggregated for each item, and the item ID, item name, and index value are associated with “performer” in the basic data 41 and output. Is done. For items extracted from other columns such as “story”, the item ID, item, and index value are associated with the “keyword” of the basic data 41 and output. A plurality of item names and index values may be associated with “genre”, “performer”, and “keyword”, respectively.

  The extraction processing unit 21 stores the operation target program information data including any one or more of the program information data 11, the reservation information data 12, the recorded information data 13, and the video information data 14 and the extraction function data 31 from the storage device. The read result data including items extracted from the operation target program information data based on the extraction function data 31 is stored in the storage device. For example, the extraction processing unit 21 analyzes whether or not these words are present in the data indicated by the extraction target ID using Japanese words such as “delicious”, “love”, and “fighting battle”.

  The extraction processing unit 21 reads the extraction function data 31 from the storage device, and extracts records whose execution start date and time is before the current time and whose expiration date and time is after the current time. Based on the arithmetic expression of the extracted record, the extraction processing unit 21 uses the data stored in the column name indicated by the “extraction target column name” among the data indicated by the “extraction target ID”. The item is extracted based on the “extraction calculation”, and stored in the area of the temporary storage device identified by the “storage destination ID” in association with the “extraction result ID”. The extraction processing by the extraction processing unit 21 may be executed periodically such as once a day or once a week.

Next, the processing of the extraction processing unit 21 will be described with reference to FIG.
First, in step S101, the extraction function data 31 is read from the storage device, and a record whose current time satisfies the execution start date / time and the expiration date / time is extracted. The processing from step S102 to step S104 is executed for each extracted record.
Next, in step S102, the target data is read based on the extraction target information ID of the record to be processed. For example, when the extraction target information ID is the identifier of the reservation information data 12, the extraction processing unit 21 reads the reservation information data 12 from the storage device. In step S103, an extraction operation is performed on the extraction target column name of the processing target record for the target data read in step S102. For example, the arithmetic processing unit 21 extracts a record “completely matches regular expression /.* landscape. * /” With respect to the “title” column of the reservation information data 12. If it is extracted in step S103, extraction result data is generated by associating the item “landscape” with the extraction result ID of the record in step S104 and stored in the temporary storage area indicated by the storage destination ID.
When the processing of steps S102 to S104 is completed for all the extraction function data records extracted in step S101, the extraction processing by the extraction processing unit 21 ends.

  The aggregation processing unit 22 reads the extraction result data and the aggregation function data 32 from the storage device, aggregates the extraction result data based on the aggregation function data 32, calculates an index value for the item, and associates the item and the index value. The basic data 41 is stored in the storage device. The tabulation processing unit 22 tabulates the extraction result data based on a tabulation algorithm such as “number of occurrences of words / significance”, for example.

  The aggregation processing unit 22 reads the aggregation function data 32 from the storage device, and extracts records whose execution start date / time is before the current time and whose expiration date / time is after the current time. Based on the arithmetic expression of the extracted record, the aggregation processing unit 22 selects the item indicated by the “extraction result target item” of the “extraction target column name” among the data indicated by the “extraction result ID”. The items are totaled based on the “total calculation” and stored in the area of the basic data 41 identified by the “storage destination ID” in association with the “total result ID”. At this time, in the best mode of the present invention, when the column names to be extracted are “genre” and “performer”, they are output in association with “genre” and “performer” in the basic data 41, respectively. In the case of a column name, it is output in association with the “keyword” of the basic data 41. Here, the aggregation calculation is an arithmetic expression that expresses data extraction, a recording method, and an arithmetic operation method for recording. The arithmetic operation method is a calculation formula for updating an index value corresponding to the item of basic data described later for the item to be aggregated. The aggregation processing by the aggregation processing unit 22 may be executed periodically such as once a day or once a week.

Next, with reference to FIG. 10, the process of the totalization process part 22 is demonstrated.
First, in step S201, the aggregate function data 32 is read from the storage device, and a record whose current time satisfies the execution start date and time and the expiration date is extracted. The processing from step S202 to step S204 is executed for each extracted record.
Next, in step S202, an extraction result target item is extracted from the extraction processing result corresponding to the extraction result ID of the extraction result data. For example, an item “early summer scenery” is acquired. In step S203, the calculation is performed on the extraction target items acquired in step S202. For example, after extracting the character string that completely matches the designated character string S, the aggregation processing unit 22 acquires the value for the item name S of the item ID “DI123” of the basic data ID “B101” from the character string of S, Increment by one. When totalized in step S203, in step S204, the index value corresponding to this item “early summer landscape” is updated to the position of the basic data 41 indicated by the storage destination ID and stored in the temporary storage area.
When the processing of steps S202 to S204 is completed for all the extraction function data records extracted in step S201, the extraction processing by the aggregation processing unit 21 ends.

  The communication processing unit 51 is an interface for transmitting and receiving data to and from the information processing apparatus 2. The basic data 41 is read from the storage device, and a user ID for identifying the user is assigned and transmitted to the information collecting device 2. The communication processing by the communication processing unit 51 may be executed periodically such as once a day or once a week. Further, when the communication processing unit 51 receives new extraction function data and new aggregation function data from the information collection device 2, the communication processing unit 51 stores them in the storage device. At this time, the communication processing unit 51 assigns a reception date and time to the received extraction function data and totaling function data and stores them in the storage device. Further, when receiving the recommendation result data from the information collection device 2, the communication processing unit 51 causes the recommendation result display unit 23 to process the recommendation result data.

  When the recommendation result display unit 23 is notified that the recommendation result data has been received from the information collection device 2 based on the basic data 41 and the user ID, the recommendation result display unit 23 displays the recommendation result data on the display device. In the recommendation result data, the program ID of the program to be recommended to the user, the recommendation ranking calculated by sorting the index values indicating the recommendation degree of the program, the title of the recommended program, the content holder information of the recommended program (broadcast channel ID) ), Program date and time information on which the recommended program is broadcast, program story, performer, genre, and the like. For example, the recommendation result display unit 23 displays a display screen P101 as shown in FIG. 11 on the display device. On the display screen P101 shown in FIG. 11, information such as recommendation order, recommended program title, recommended program broadcast channel ID, and program date / time information is displayed in a list based on the recommendation result data. As shown in the display screen P101 shown in FIG. 11, program information related to a specific genre (“drama” in FIG. 11) may be extracted and displayed, or program information related to all genres may be displayed. Based on this display screen P101, the user can download program data or make a recording reservation for a television program.

  In this way, the information providing device 1 is based on the extraction function data 31 and the totaling function data 32 transmitted from the information collecting device 2, and program information data 11, reservation information data 12, recorded information data 13, video information data. 14, the basic data 41 is generated by calculating an item indicating the user's preference and its index value from the operation target program information data that is the target of the user's operation, such as 14, and transmits the basic data 41 to the information collecting device 2. To do. Furthermore, the information providing apparatus 1 receives recommendation result data including information on a program to be recommended based on the user's preference based on the basic data 41 from the information collecting apparatus 2 and displays it on the display device. Thus, viewing of the program included in the recommendation result data can be promoted.

(Information collection device)
An information collecting device 2 according to the best mode of the present invention is mounted on a general computer as shown in FIG. 2, and includes a central processing control device 101, a ROM (Read Only Memory) 102, and a RAM (Random Access Memory). 103 and an input / output interface 109 are connected via a bus 110. An input device 104, a display device 105, a communication control device 106, a storage device 107, and a removable disk 108 are connected to the input / output interface 109.

  The central processing control device 101 reads and executes a boot program for starting the information collecting device 2 from the ROM 102 based on an input signal from the input device 104, and further reads an operating system stored in the storage device 107. Further, the central processing control device 101 controls various devices based on input signals from the input device 104, the communication control device 106, etc., and reads programs and data stored in the RAM 103, the storage device 107, etc. into the RAM 103. A processing device that loads and implements a series of processes to be described later, such as data calculation or processing, based on a program command read from the RAM 103.

  The input device 104 includes input devices such as a keyboard and a mouse through which an operator inputs various operations. The input device 104 generates an input signal based on the operation of the operator, and inputs via the input / output interface 109 and the bus 110. It is transmitted to the central processing control apparatus 101. The display device 105 is a CRT (Cathode Ray Tube) display, a liquid crystal display, or the like. The display device 105 receives an output signal to be displayed on the display device 105 from the central processing control device 101 via the bus 110 and the input / output interface 109. It is a device that displays the processing result of the control device 101 and the like. The communication control device 106 is a device such as a LAN card or a modem, and is a device that connects the information collecting device 2 to a communication network such as the Internet or a LAN. Data transmitted / received to / from the communication network via the communication control device 106 is transmitted / received to / from the central processing control device 101 via the input / output interface 109 and the bus 110 as an input signal or an output signal.

  The storage device 107 is a semiconductor storage device or a magnetic disk device, and stores programs and data executed by the central processing control device 101. The removable disk 108 is an optical disk or a flexible disk, and signals read / written by the disk drive are transmitted / received to / from the central processing control apparatus 101 via the input / output interface 109 and the bus 110.

  An information collection program is stored in the storage device 107 of the information collection device 2 according to the preferred embodiment of the present invention, as well as temporary preference data 81, user information data 82, learning result information data 83, and extraction function data 85. , Total function data 86, all recommendation target data 91, and extracted information data 92 are stored. In addition, the preference collection processing unit 72, the recommendation result transmission unit 73, and the extraction processing unit 74 are implemented in the information collection device 1 by the information collection program being read and executed by the central processing control device 101 of the information collection device 1. .

  As shown in FIG. 13, the temporary preference data 81 is associated with the user ID received from the information providing apparatus 1 and the basic data ID of the basic data 41 using the temporary preference data ID as a key. The basic data ID is associated with an item ID for each column name of update date / time, “genre”, “performer”, and “keyword”. Each column name is associated with a plurality of item IDs. The item ID is an ID for identifying an item, and one combination of an item name and an index value may be associated with the item ID. Here, the item name is a character string of an item that is extracted by the extraction processing unit 21 of the information providing apparatus 1 and is to be aggregated by the aggregation processing unit 22. The index value is an index value calculated by the aggregation processing unit 22 of the information providing apparatus 1 and indicating the user's preference for the item name.

  The user information data 82 is data indicating the taste characteristics of each user. As shown in FIG. 14, the user information data 82 is associated with a preference information ID using the user ID as a key. The preference information ID includes column names of program information genre, performers, and keywords. “Genre” and “performer” correspond to column names of program information data and the like. The “keyword” is a column name for collectively handling items acquired from columns other than “genre” and “performer” of the program information. Furthermore, the item extracted as a genre, a performer, and a keyword is associated with a weight value corresponding to the item. Here, the item is an item extracted by the extraction processing unit 21 of the information processing providing device 1 as a character string characterizing the user's preference from the data of each column such as genre, performer, and keyword. An arbitrary number of items may be provided for each column name such as genre, performer, and keyword. The weight value is a value that is updated based on basic data received from the information providing apparatus 1 so far by the preference learning processing unit 72 described later, and is a value that indicates a preference index value for the user's item. .

  The learning result information data 83 is data of a program that should be recommended to the user. The learning result information data 83 is calculated based on user preference data stored in the user information data 82.

  As shown in FIG. 15, the learning result information data 83 is associated with a user ID, an update date and time, and a plurality of program IDs using the learning result ID as a key. The program ID of the learning result information data 83 is a program ID of a program to be recommended to the user indicated by the user ID.

  The extraction function data 85 and the aggregation function data 86 are data of processing algorithms referred to by the extraction processing unit 21 and the aggregation processing unit 22 of the information providing apparatus 1.

  The extraction function data 85 is data for extracting items from the operation target program information data in the information providing apparatus 1. As shown in FIG. 16, the extraction function data 85 is associated with a server ID, a service ID, a distribution date, a distribution target user ID, an execution start date, an expiration date, an arithmetic expression, and an extraction result ID, using the extraction function ID as a key. Is remembered. The server ID is an ID for identifying the information collection device 2 that has transmitted the arithmetic expression of this extraction function. The service ID is an ID for identifying a service when the information collection device 2 uses a plurality of services for transmitting recommendation result data. The distribution date and time is the date and time when this arithmetic expression is distributed from the information collection device 2. The execution start date / time is the start date / time of the period calculated using this arithmetic expression, and the expiration date / time is the end date / time of the period calculated using this arithmetic expression. The arithmetic expression is an algorithm to be processed by the extraction processing unit 21 of the information providing apparatus 1. Items such as the storage destination ID, the extraction target information ID, the extraction target column name, and the extraction calculation described with reference to FIG. 6 may be associated with the arithmetic expression. The extraction result ID is an identifier for identifying the result calculated by this arithmetic expression.

  The aggregation function data 86 is data for aggregating extraction result data in the information providing apparatus 1. As shown in FIG. 17, the aggregation function data 86 is associated with a server ID, a service ID, a distribution date, a distribution target user ID, an execution start date, an expiration date, an arithmetic expression, and an aggregation result ID using the aggregation function ID as a key. Is remembered. The server ID is an ID for identifying the information collection device 2 that has transmitted the calculation formula of the aggregation function. The service ID is an ID for identifying a service when the information collection device 2 uses a plurality of services for transmitting recommendation result data. The distribution date and time is the date and time when this arithmetic expression is distributed from the information collection device 2. The execution start date / time is the start date / time of the period calculated using this arithmetic expression, and the expiration date / time is the end date / time of the period calculated using this arithmetic expression. The arithmetic expression is an algorithm that causes the aggregation processing unit 22 of the information providing apparatus 1 to process. Items such as the storage destination ID, extraction result ID, extraction target column name, extraction result target item, and tabulation calculation described with reference to FIG. 7 may be associated with the arithmetic expression. The aggregation result ID is an identifier for identifying the result calculated by this calculation formula.

  The recommendation target total data 91 stores all data of programs recommended by the information collection device 2. The information collection device 2 selects a program that matches the preference of each user of the information providing device 1 from the program information stored in the all recommendation target data 91 and transmits it to the information providing device 1 as recommendation result data.

  As shown in FIG. 18, the recommendation target total data 91 includes content information, file information, title information, program date / time information, and program holder information using a program ID as a key. The program information is data such as a title, a story, a genre, a production year, performers, and staff. The file information is data such as data size, DRM (Digital Rights Management) system, video quality (resolution), and encoding system. The title information is data such as chapter information including a chapter position and a chapter name, and thumbnail information. The content date / time information is data such as the broadcast start date / time and broadcast end date / time of the program. The content holder information is data such as a broadcast channel ID for broadcasting a program.

  The extracted information data 92 is data indicating the characteristics of each program. As shown in FIG. 19, the extracted information data 92 is associated with a program ID using the extracted data ID as a key. The preference information ID includes column names of “genre”, “performer”, and “keyword” of program information. “Genre” and “performer” correspond to column names of program information data and the like. The “keyword” is a column name for collectively handling items acquired from columns other than “genre” and “performer” of the program information. Furthermore, the item extracted as a genre, a performer, and a keyword is associated with a weight value corresponding to the item. Here, the item is an item extracted by the extraction processing unit 21 of the information processing providing device 1 as a character string characterizing the user's preference from the data of each column such as genre, performer, and keyword. Any number of items may be provided for each genre, performer, and keyword. The weight value is a value calculated by the extraction processing unit 74 and is an index value indicating the characteristics of the program for this item.

  The extraction processing unit 74 reads the recommended object all data 91 from the storage device 107, and from the program information of the program ID included in the recommended object all data 91, an item that is a character string indicating the characteristics of the program, and the item An index value is calculated and output to the extracted information data 92, and the extracted information data 92 is stored in the storage device 107. The extraction processing by the extraction processing unit 74 may be performed periodically such as once a day or once a week. Alternatively, it may be executed each time information on a new program is input to all recommended data 91.

With reference to FIG. 20, the extraction processing by the extraction processing unit 74 will be described.
First, in step S301, all recommendation target data is read from the storage device 107. Next, the process of step S302 thru | or step S409 is performed about all the program IDs contained in the recommendation object all data read by step S301.
Specifically, in step S402, it is determined whether or not the program ID information exists in the extracted information data 92. If it is determined that the program ID is present, the process related to the program ID is terminated, and the process from step S302 to step S309 is performed for the next program ID. If it is determined in step S303 that it does not exist, in step S303, the genre and performer information associated with the program ID is acquired. In step S304, for each genre and performer information, the item input in each genre and performer column is added to the record related to the program ID in the extracted information data 92, and the weight value is calculated. Store in the column of weight value.
Next, in step S305, the title and story information of the program ID are acquired. Next, in step S306, keywords are extracted from the title and story information acquired in step S405. As a keyword extraction method, for example, there is a method using a dictionary. Specifically, there is a method in which a character string list of keywords is stored in advance as a dictionary, and, for example, it is checked whether a character string included in the dictionary matches a character string extracted as a “title” item. Alternatively, a keyword included in the “title” item may be extracted by using a morphological analysis unit.
In step S307, it is determined whether the same keyword as the keyword extracted in step S306 is included in the extracted information data. If it is determined that the item is included, a weighting calculation process is performed on the item in step S308, the weight value is updated, and the extraction information data 92 is updated. If it is determined that the same keyword is not included, in step S309, the item extracted in step S305 is added as a new keyword corresponding to the program ID, and a predetermined initial weight value is associated and extracted. Stored in the information data 92. When there are a plurality of keywords extracted in step S306, the processes in steps S307 to S309 are repeated for the number of extracted keywords.

  The communication processing unit 61 is generated based on operation target program information data in which information of a program that is a user's operation target is stored, and basic data in which an item indicating the user's preference is associated with an index value for the item, A user ID for identifying the user is received from the information providing apparatus 1. When receiving the basic data 41 from the information providing apparatus 1, the communication processing unit 61 stores the preference data 81 in the storage device 107 and updates the user information data 82. The communication processing unit 61 may be executed in real time every time the basic data 41 is received from the information providing apparatus 1 or may be executed periodically such as once a day. Further, the communication processing unit 61 transmits recommendation result data to the information providing apparatus 1 according to an instruction from the recommendation result transmitting unit 73.

With reference to FIG. 21, the communication process by the communication process part 61 is demonstrated.
First, in step S401, the basic data 41 is received together with the user ID from the information providing device 1, and in step S402, the received basic data 41 is stored in the storage device 107 as temporary preference data.
Next, in step S403, the user information data 82 is read from the storage device 107, and it is searched whether the user information received in step S401 is in the user information data 82. If there is no user ID, in step S404, a record in which the preference information ID is associated with the user ID is transmitted to the user information data 82, and the user information is registered. Here, the preference information ID is a number assigned arbitrarily. Further, items corresponding to the genre, performer and keyword columns associated with the user ID and data of the weight values thereof are acquired, and for all items of the user of the temporary preference data, steps S405 to S407 are performed. Execute the process. In step S405, it is determined whether the preference information item of the user information data 82 matches the items corresponding to the genre, performer, and keyword columns of the temporary preference data. If it is determined that they match, a heavy pickling calculation process is performed in step S406, and the heavy value corresponding to the item is updated. For example, if the weight value after updating is w2 and the weight count is k, the calculation method of the weight value can be calculated as w2 = w1 + k.
If it is determined in step S405 that they do not match, a new item is added and the initial weight value is stored in step S407. For example, when the initial weight value is 0.01, the weight value “0.01” corresponding to “early summer landscape” is registered in the user information data.
The process of step S405 thru | or step S407 is repeated about all the items of preference temporary data. When all items of the temporary preference data are calculated, the process is terminated.

  The preference learning processing unit 72 is a process of outputting learning result information data 83 in which a user ID and a program ID recommended to the user are associated with each other based on the information of the user information data 82 and compared with the extracted information data 92. is there. The preference learning processing unit 72 may be executed periodically such as once a day, or may be executed by input from the input device 104.

With reference to FIG. 22, the preference learning process by the preference learning process part 72 is demonstrated.
First, in step S501, the user information data 82 is read from the storage device 1076. Steps S502 to S507 are processed for all user IDs stored in the user information data 82.
In step S502, the genre, performer, and keyword items corresponding to the user ID and the weight value are acquired from the user information data 82. In step S503, the extracted information data 92 is read from the storage device 107, and the processing in steps S504 to S505 is repeated for all program IDs stored in the extracted information data 92. That is, in step S504, the genre, performer and keyword items corresponding to the program ID and the weight value are acquired from the extracted information data. In step S505, based on each item and weight value corresponding to the user ID and each item and weight value corresponding to the program ID, the similarity between the program ID and the user's preference is calculated. By repeating the processing from step S504 to step S505 for all program IDs stored in the extracted information data 92, the similarity with the user's preference is calculated for all program IDs stored in the extracted information data 92. .
When the similarity with the user's preference is calculated for all programs, the program IDs are rearranged in descending order of similarity in step S506. As a result, a list of program IDs with similarities arranged in descending order is generated for a given user ID. Further, a predetermined number is extracted from the top of the program IDs rearranged in step S507 and stored in the storage device 107 as learning result information data 83 in association with the user ID. For example, by extracting 32 program IDs from the top, a list of the top 32 program IDs is created and stored as learning result information data 83. Further, the update date / time of the learning result information data 83 is updated.
By executing the processing of steps S502 to S507 for all user IDs stored in the user information data 82, a list of program IDs recommended for these users is generated and stored in the learning result information data 83. .

Next, with reference to FIG. 23, the process for calculating the similarity in step S505 in FIG. 22 will be described.
In step S601, the genre, performer, and keyword items corresponding to the user ID and the significant value, and the genre, performer, and keyword items corresponding to the program ID are acquired.
First, in step S602 and step S603, each item of genre is processed. In step S602, it is determined whether the character string of the genre item corresponding to the user ID completely matches the character string of the genre item corresponding to the program ID. If it is determined that they match, the weight value Wg is incremented by one in step S603. If it is determined that they do not match, the process is terminated as it is, and the next genre item is processed.
Next, in the process of step S604 and step S605, each item of the performer is processed. In step S604, it is determined whether the character string of the performer item corresponding to the user ID completely matches the character string of the performer item corresponding to the program ID. If it is determined that they match, the weight value Wt is incremented by one in step S603. If it is determined that they do not match, the process is terminated as it is, and the next performer item is processed.
Further, in the processing of step S606 and step S607, each keyword item is processed. In step S606, it is determined whether the character string of the keyword item corresponding to the user ID completely matches the character string of the keyword item corresponding to the program ID. If it is determined that they match, the weight value Wk is incremented by one in step S607. If it is determined that they do not match, the process ends as it is, and the next keyword item is processed.
Finally, in step S608, the similarity S is calculated. At this time, the similarity S is expressed as Wg * Kg + Wt * Kt + Wk * Kk. Here, Kg is a significant value regarding the item of genre, Kt is a significant value regarding the item of the performer, and Kk is a significant value regarding the item of the keyword.

  In FIG. 23, for each item of genre, performer, and keyword, it is determined whether or not the item indicating the user's preference matches the item indicating the program characteristic, thereby determining the similarity between the user's preference and the program characteristic. The method of calculating is illustrated. The method for calculating the similarity is not limited to the method shown in FIG.

  The recommendation result transmission processing unit 73 reads out the learning result information data 83 and the recommendation target all data 92 from the storage device 107, extracts a predetermined number of program IDs recommended to the user from the learning result information data 83, and extracts the recommendation result from the recommendation target all data 91. Then, information on the program associated with the extracted program ID is acquired and transmitted to the information providing apparatus 1 in association with the program ID. At this time, the recommendation result transmission processing unit 73 reads the extraction function data 85 and the aggregation function data 86 from the storage device, extracts the records of the extraction function data and the aggregation function data associated with the user ID, and provides the information providing apparatus. 1 to send.

Next, with reference to FIG. 24, the recommendation result transmission process by the recommendation result transmission unit 73 will be described.
First, in step S701, a user ID of a user who transmits recommendation result data is acquired. This user ID may be included in a request from the information providing apparatus 1 or may be a user ID transmitted from the information providing apparatus 1 together with basic data.
In step S702, the learning result information data 83 is read from the storage device 107, and a predetermined number of program IDs associated with the user ID acquired in step S701 are extracted.
In step S704, all the recommendation target data 91 is read from the storage device 107, and “program information”, “file information”, “title information”, “program date / time information” of the program associated with the program ID acquired in step S703. "," Program holder information "is acquired, and extraction result data is generated. Here, information is acquired for all program IDs acquired in step S703.
Next, in step S705, the extraction function data 85 and the aggregation function data 86 are read from the storage device 107, and an extraction function ID and an aggregation function ID that satisfy the current start time and the expiration date are acquired. In step S706, information such as a server ID and an arithmetic expression associated with the extraction function ID and the aggregation function ID is acquired.
In step S706, the extraction result data generated in step S704, the extraction function data acquired in step S706, and the aggregation function data are transmitted to the information providing apparatus 1.

  The information collection device 1 according to the best embodiment of the present invention receives basic data, which is information indicating the user's preference, from the information providing device 1, learns the user's preference based on the basic data, and recommends Information on a program to be recommended to the user can be acquired from the entire target data 91 and transmitted to the information providing apparatus 1. Further, by generating an algorithm for managing the extraction process and the totaling process of the information providing apparatus 1 by the information collecting apparatus 1 and transmitting it to the information providing apparatus 1, an appropriate algorithm can be used at any time in the information providing apparatus 1. Can be extracted and processed. Thereby, for example, it is possible to easily realize an algorithm change such as making the weight of the keyword extracted by the bristles “performer” 30%.

  As described above, in the information providing system 10 according to the best embodiment of the present invention, even if the information can be obtained only by the information providing apparatus 1 by performing temporary processing in advance inside the information providing apparatus 1. It can be uploaded to the information collecting device 2. For example, the “work name information” can be transmitted to the information collecting apparatus 1 as statistical information indicating the user's preference by counting the work name information as “frequency of frequent phrases”.

  Further, by causing the information providing apparatus 1 to perform analysis processing within the limited range of the processing capability of the information providing apparatus 1, the information providing apparatus 1 does not perform advanced arithmetic processing inside the information providing apparatus 1 and allows the user to Recommendation data can be obtained.

  Furthermore, by transmitting an algorithm (processing function) to be processed from the information collecting device 2 to the information providing device 1, it is possible to easily and frequently update the processing means inside the information providing device 1. As a result, the information providing apparatus 1 can always provide the user with recommended program recommendation data.

(Other embodiments)
As described above, the present invention has been described according to the best mode for carrying out the invention. However, it should not be understood that the description and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples, and operational techniques will be apparent to those skilled in the art.

  For example, the information providing apparatus 1 described in the best embodiment of the present invention may be configured on one piece of hardware as shown in FIG. 1, or a plurality of pieces of hardware depending on the functions and the number of processes. It may be configured above. It may also be realized on an existing hard disk recorder or television.

  In the best mode of the present invention, the genre such as program information and the columns of performers and items extracted from the other columns are targeted for aggregation, but the present invention is not limited to this method. Compare the basic data indicating the user's preferences extracted from the operation target program information data with the extracted information data indicating the characteristics of each program extracted from all the recommended target data to extract programs that match the user's preferences Such a processing method may be used.

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

It is a figure which shows the system configuration | structure of the information provision system which concerns on the best embodiment of this invention, the functional block of an information provision apparatus, and the functional block of an information collection apparatus. It is a figure explaining the data structure of the program information data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the reservation information data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the recorded information data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the video information data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the extraction function data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the total function data of the information provision apparatus which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the basic data of the information provision apparatus which concerns on the best embodiment of this invention. It is a flowchart explaining the process of the extraction process part of the information provision apparatus which concerns on best embodiment of this invention. It is a flowchart explaining the process of the total process part of the information provision apparatus which concerns on best embodiment of this invention. It is an example of the screen which the recommendation result display part of the information provision apparatus which concerns on the best embodiment of this invention displays. It is a hardware block diagram of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of preference temporary data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the user information data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the learning result information data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the extraction function data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the total function data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the recommendation object whole data of the information collection device which concerns on the best embodiment of this invention. It is a figure explaining the data structure of the extraction information data of the information collection device which concerns on the best embodiment of this invention. It is a flowchart explaining the process of the extraction process part of the information collection apparatus which concerns on best embodiment of this invention. It is a flowchart explaining the process of the communication processing part of the information collection device which concerns on best embodiment of this invention. It is a flowchart explaining the process of the preference learning process part of the information collection device which concerns on the best embodiment of this invention. It is a flowchart explaining the similarity calculation process of the preference learning process part of the information collection device which concerns on the best embodiment of this invention. It is a flowchart explaining the process of the recommendation result transmission process part of the information collection device which concerns on the best embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Information provision apparatus 2 ... Information collection apparatus 11 ... Program information data 12 ... Reservation information data 13 ... Recorded information data 14 ... Video information data 21 ... Extraction process part 22 ... Total process part 23 ... Recommendation result display part 31 ... Extraction Function data 32 ... Total function data 51, 61 ... Communication processing unit 72 ... Preference learning processing unit 73 ... Recommendation result sending unit 74 ... Extraction processing unit 81 ... Taste temporary data 82 ... User information data 83 ... Learning result information data 85 ... Extraction Function data 86 ... Total function data 91 ... Recommendation target data 92 ... Extraction information data 101 ... Central processing controller 102 ... ROM
103 ... RAM
104 ... Input device 105 ... Display device 106 ... Communication control device 107, 8a ... Storage device 108 ... Removable disk 109 ... Input / output interface 110 ... Bus

Claims (10)

An information providing device owned by a user, and an information collecting device that creates recommendation result data for recommending a program to the user based on information received from the information providing device via a communication network, and transmits the recommendation result data to the information providing device. An information providing system comprising:
The information providing apparatus includes:
An operation target program information data storage unit for storing operation target program information data in which information on a program that is an operation target of the user is stored;
An extraction function data storage unit that stores, in a storage device, extraction function data for extracting items from the operation target program information data;
The operation target program information data and the extraction function data are read from the storage device, and extraction result data including items extracted from the operation target program information data based on the extraction function data is stored in the storage device. An extraction processing unit to
A totaling function data storage unit that stores totaling function data for totaling the extraction result data in a storage device;
Reading the extraction result data and the aggregation function data from the storage device, calculating the index value for the item by aggregating the extraction result data based on the aggregation function data, and associating the item and the index value A summary processing unit for storing basic data in the storage device;
A communication processing unit that reads the basic data from the storage device and transmits a user ID for identifying the user and the basic data to the information collecting device;
A recommendation result display unit that receives recommendation result data output based on the basic data and the user ID from the information collection device and displays the recommendation result data on a display device;
The information collecting device includes:
When receiving the basic data and the user ID, based on the basic data, a program recommended to the user from all recommended data associated with the program ID for identifying all recommended programs and the program information A recommendation result transmission unit that generates recommendation result data including an ID and transmits the recommendation result data to the information providing apparatus. The information collecting device includes:
A function data storage unit that stores the extraction function data and the aggregate function data processed by the information providing device in a storage device;
The recommendation result transmitting unit further reads out the extraction function data and the aggregation function data from the storage device and transmits them to the information providing device,
2. The information according to claim 1, wherein the communication processing unit of the information providing device further stores the new extraction function data and the new aggregation function data in the storage device when receiving the new extraction function data and new aggregation function data from the information collection device. Offer system.   The operation target program information data is any one of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of a program recorded by the user. It is the above, The information provision system of Claim 1 or 2 characterized by the above-mentioned. An information providing device, which is a device owned by a user, transmits information to an information collecting device via a communication network, and receives recommendation result data transmitted by the information collecting device based on the information and recommending a program to the user. There,
An operation target program information data storage unit for storing operation target program information data in which information on a program that is an operation target of the user is stored;
An extraction function data storage unit that stores, in a storage device, extraction function data for extracting items from the operation target program information data;
The operation target program information data and the extraction function data are read from the storage device, and extraction result data including items extracted from the operation target program information data based on the extraction function data is stored in the storage device. An extraction processing unit to
A totaling function data storage unit that stores totaling function data for totaling the extraction result data in a storage device;
Reading the extraction result data and the aggregation function data from the storage device, calculating the index value for the item by aggregating the extraction result data based on the aggregation function data, and associating the item and the index value A summary processing unit for storing basic data in the storage device;
A communication processing unit that reads the basic data from the storage device and transmits a user ID for identifying the user and the basic data to the information collecting device;
An information providing apparatus comprising: a recommendation result display unit that receives recommendation result data output based on the basic data and the user ID from the information collection apparatus and displays the recommendation result data on a display device. 5. The information providing apparatus according to claim 4, wherein when new extraction function data and new totaling function data are received from the information collection apparatus, the new information is stored in the storage device.   The operation target program information data is any one of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of a program recorded by the user. The information providing apparatus according to claim 4, wherein the information providing apparatus is as described above. A program used for a device owned by a user, which transmits information to an information collection device via a communication network, and receives recommendation result data which is transmitted by the information collection device based on the information and recommends a program to the user. An information providing program used for an information providing apparatus,
An operation target program information data storage unit for storing operation target program information data in which information on a program that is an operation target of the user is stored;
An extraction function data storage unit that stores, in a storage device, extraction function data for extracting items from the operation target program information data;
The operation target program information data and the extraction function data are read from the storage device, and extraction result data including items extracted from the operation target program information data based on the extraction function data is stored in the storage device. An extraction processing unit to
A totaling function data storage unit that stores totaling function data for totaling the extraction result data in a storage device;
Reading the extraction result data and the aggregation function data from the storage device, calculating the index value for the item by aggregating the extraction result data based on the aggregation function data, and associating the item and the index value A summary processing unit for storing basic data in the storage device;
A communication processing unit that reads the basic data from the storage device and transmits a user ID for identifying the user and the basic data to the information collecting device;
An information providing program that causes a computer to realize a recommendation result display unit that receives recommendation result data output based on the basic data and the user ID from the information collection device and displays the recommendation result data on a display device. The information providing program according to claim 7, wherein the communication processing unit further stores, in the storage device, new extraction function data and new aggregate function data received from the information collection device.   The operation target program information data is any one of reservation information data of a program reserved for recording by the user, recorded information data of a program recorded by the user, and video information data of a program recorded by the user. The information providing program according to claim 7 or 8, wherein the information providing program is as described above. An information collecting method used in an information collecting apparatus that creates recommendation result data for recommending a program to the user based on information received from a user-provided information providing apparatus via a communication network and transmits the recommendation result data to the information providing apparatus. There,
Basic data in which a communication processing unit is generated based on operation target program information data in which information of a program that is an operation target of the user is stored, and an item indicating the user's preference and an index value for the item are associated with each other Receiving a user ID for identifying the user from the information providing device and storing the received user ID in a storage device;
The extraction processing unit reads all recommendation target data from the storage device, and from the program information of the program ID included in the recommendation target all data, an item that is a character string indicating the characteristics of the program and an index value of the item Calculating and outputting to extraction information data, storing the extraction information data in a storage device;
A preference learning processing unit reads the extracted information data from the storage device, and extracts a program ID in which the user preference and the program characteristics of the extracted information data are similar based on the basic data. Outputting to the learning information result data;
A recommendation result transmitting unit comprising: reading out the learning information result data from the storage device, generating recommendation result data including a program ID recommended to the user, and transmitting the recommendation result data to the information providing device. To collect information.