JP4929765B2 - Content search apparatus and content search program - Google Patents

Description

  The present invention relates to a content search device and a content search program.

  The growth of content distribution services that electronically distribute various contents such as music, video, books, etc. is remarkable, and the number of contents that can be downloaded by users is enormous with the growth. As a method of searching for a desired content from the enormous content, a key input search performed by inputting a search key such as a content name or an author name is the mainstream. Further, a genre search in which a genre for classifying content is presented from the service provider side, and a user selects the genre and searches for desired content from the classified content, has become widespread.

  For example, in the case of a music distribution service, music pieces are classified by genres such as rock, pops, and jazz, and when the user selects a desired genre, the music pieces classified by the genre are searched and presented. The user can perform a so-called ambiguous search by searching for a desired content from various genres instead of searching for the target content by the genre search.

Also, agent software that supports user content search has been developed, for example, the word vector is the degree of the relationship between the concept and context of words included in the music-related information text associated with each song, Agent software that searches for music related to a search word using the word vector is known (see Patent Document 1).
JP 2003-84783 A

  By the way, when performing a search by genre, the user often searches by his / her favorite genre, and the frequency of searching for contents of a genre that he / she is not familiar with or is not good at is reduced. For this reason, in order to broaden the range of genres of content downloaded by users, the content of genres that the user does not know is introduced or the genres that the user likes are introduced in more detail according to user preferences. A service that introduces new content is desired.

  However, since each user's preference is reflected in the genre selected by the user, the range of the genre of the search is limited to the user's preference, and there is a limit in expanding the range of the genre by the user himself . In addition, in the agent software of Patent Document 1, by inputting a search word, music related to the search word is searched, but the preference for each user is reflected in the input search word. The search range has been limited by user preferences.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to realize a content search apparatus capable of searching for new content according to user preferences. .

In order to solve the above problems, the content search device according to claim 1 is:
Content storage means for storing detailed information including genre information and content files in association with each other;
Recognizing degree determining means for referring to the detailed information stored in the content storing means, and determining the recognizing degree based on the holding ratio for each genre of the content file;
An input means for inputting user preferences;
Search means for searching for detailed information on the genre based on the user preference input by the input means according to the recognition degree of the genre determined by the recognition degree determination means, and presenting the search result to the user;
Equipped with a,
The search means includes
When the degree of recognition of the genre based on the user preference is equal to or higher than a predetermined value, search for and present other detailed information except the detailed information associated with the content file stored in the content storage unit in the genre. Unacquired content information search means,
When the degree of recognition of the genre based on the user preference is less than or equal to a predetermined value, representative information search means for searching and presenting representative detailed information in the genre;
It is characterized in Rukoto to have a.

The invention according to claim 2 is the invention according to claim 1,
The genre is a genre in which a plurality of genres are layered and associated, and the search means
When the recognition level of the genre based on the user preference is equal to or higher than a predetermined value, the detailed information of the lower genre associated with the genre of the recognition level is searched and presented according to the recognition level of the lower genre. It is characterized by having lower layer genre search means.

The content search program according to claim 3 , wherein the computer
Content storage means for storing detailed information including genre information and content files in association with each other;
A degree-of-recognition determination means for referring to the detailed information stored in the content storage means to determine the degree of recognition based on the holding ratio of each genre of the content file;
Input means for inputting user preferences,
Search means for searching for detailed information of a genre based on the user preference input by the input means according to the recognition degree of the genre determined by the recognition degree determination means, and presenting the search result to the user,
To function as,
The search means includes
When the degree of recognition of the genre based on the user preference is equal to or higher than a predetermined value, search for and present other detailed information except the detailed information associated with the content file stored in the content storage unit in the genre. Unacquired content information search means,
When the degree of recognition of the genre based on the user preference is less than or equal to a predetermined value, representative information search means for searching and presenting representative detailed information in the genre;
It is characterized by having .

  According to the present invention, the detailed information of the genre based on the input user preference is searched according to the degree of recognition of the genre and presented to the user. The detailed information can be retrieved and presented, or when the degree of recognition is low, representative detailed information can be retrieved and presented. Accordingly, it is possible to realize a content search device or the like that can search for new content according to the user's preference.

  Hereinafter, an embodiment in which the content search device of the present invention is applied to the content player 1 shown in FIG. 1 will be described with reference to FIGS. First, an outline of the content player 1 will be described.

[Content Player Overview]
As shown in FIG. 1, the content player 1 is configured to be able to communicate with the server 3 via the communication network N, and has a search function for searching for music content desired by the user from music content distributed from the server 3; And a download function for downloading music content selected by the user from a content distribution server (hereinafter abbreviated as “server”) 3.

  The server 3 stores the content file 200 shown in FIG. 2 in a database (hereinafter referred to as “DB”), and distributes the content file 200 to the content player 1. The content file 200 stores music data 210 and detailed information 220 in association with each other as shown in FIG.

  The music data 210 is audio data compressed by an audio compression format such as MP3 (MPEG Audio Layer-3) format or AAC (Advanced Audio Coding) format. The detailed information 220 is data including a content name 230 as an item related to the contents of the music data 210, an artist name 240, a main genre name 250 and a sub-genre name 260 as genre information. The content file 200 is classified in advance for each genre represented by the main genre name 250 and the sub-genre name 260 in the detailed information 220.

  This genre has a hierarchical structure as shown in FIG. 3, and is specifically hierarchized into a main genre that roughly classifies music content and a sub-genre that classifies the main genre in more detail. The For example, according to FIG. 3, sub-genres such as “Guitar Pop”, “Guitar Rock”, and “Classic Rock” are layered below the main genre “Rock”.

  Further, the server 3 stores an artist DB 100 classified by genre shown in FIG. 4 in order to classify and manage artist names for each genre. The genre artist DB 100 is a database that stores main genre names, sub genre names, ranking information, and representative artist information in association with each other so as to be searchable.

  The main genre name is associated with a sub genre name of a sub genre classified as a lower layer of the main genre. The ranking information is data representing the popularity ranking of artists classified in the genre of the associated sub-genre name, and is configured by arranging all the artist names classified in order of popularity ranking.

  The representative artist information is data indicating a musical tendency in the genre of the associated sub-genre name, and the artist name (detailed information) of a typical artist among the artists classified in the genre is It is set in advance. The server 3 sequentially updates the genre artist DB 100 and distributes various data in response to a request from the content player 1.

  The content player 1 has a recognition search in addition to a conventional search function such as a key input search for searching by inputting an artist name and a search by genre for searching the genre by tracing from the upper layer to the lower layer.

  The recognition level search is based on the degree of recognition that the user recognizes each genre, such as a favorite genre, a genre that is not well known, and a genre that is not good at the music content of an artist who is estimated to be unfamiliar with the user. This is a search function that searches and presents to the user. This recognition degree search is realized by agent software (hereinafter abbreviated as “agent”) that performs content search. The agent is a function for smoothly performing an interface between the user and the device. Here, the agent is software that supports a user operation of content search in an interactive manner by displaying anthropomorphic characters or by voice dialogue.

  In the content player 1, for example, when the user requests the agent to know the favorite genre in more detail, the lower level of the genre estimated to be liked by the user based on the degree of recognition for each genre. The artist name classified by the genre (sub-genre) is searched and presented to the user. Also, when a preference for cultivating poor genres is requested, representative artist names are searched for and presented from genres estimated to be weak.

  This awareness search allows the user to know more about their favorite genres, and to easily find new artists according to their preferences, such as representative artists who are not good at genres. It becomes possible to widen the width.

[Functional configuration of content player]
Next, the functional configuration of the content player 1 will be described with reference to FIG. According to FIG. 1, the content player 1 includes an agent processing unit 10, an input unit 20, a display unit 30, a communication unit 40, an audio processing unit 50, a microphone M, an A / D conversion unit 60, a speaker SP, and D / A conversion. The unit 70 and the storage unit 80 are provided.

  The agent processing unit 10 includes a CPU (Central Processing Unit) 12, a ROM (Read Only Memory) 14, and a RAM (Random Access Memory) 16, and provides instructions and functions to each functional unit constituting the content player 1. It performs various functions by inputting and outputting data between departments.

  More specifically, the CPU 12 reads out the program stored in the ROM 14 based on the operation signal input from the input unit 20 and the processing result of the sound processing unit 50, and performs processing according to the read program to perform each processing. Controls the functional unit. The RAM 16 stores dynamic data related to processing executed by the CPU 12 according to the program.

  The input unit 20 includes a keyboard having cursor keys, numeric keys, various function keys, and the like, and outputs an operation signal of a key pressed by the user to the agent processing unit 10. The input unit 20 includes a pointing device such as a mouse or a touch panel, and outputs the position on the display unit 30 specified by the mouse or the fingertip of the user to the agent processing unit 10 as an operation signal.

  The display unit 30 is configured by a color LCD (Liquid Crystal Display) or an ELD (Electronic Luminescent Display), and displays various information and screens related to the content player 1 in accordance with instructions from the agent processing unit 10. The communication unit 40 is a functional unit for connecting to the communication line network N and performing data communication with other devices such as the server 3, and includes a modem, a LAN interface, a USB, and the like.

  The A / D conversion unit 60 converts the audio signal input from the microphone M into digital audio data and outputs the digital audio data to the audio processing unit 50. The D / A conversion unit 70 converts the audio data output from the audio processing unit 50 into an analog audio signal, and outputs audio based on the audio signal from the speaker SP.

  The audio processing unit 50 includes a DSP (Digital Signal Processor) and the like, and is a functional unit that performs analysis processing of audio data output from the A / D conversion unit 60, reproduction processing of the music data 210, and the like.

  The agent processing unit 10 first performs text recognition by synthesizing speech data of sound pieces stored in a sound piece database or the like in order to inquire the user of what genre of music content is to be searched in the recognition degree search. Is output to the audio processing unit 50. The voice processing unit 50 synthesizes voice data corresponding to the text for which a voice output instruction has been received from the agent processing unit 10, and outputs the voice data to the D / A conversion unit 70 after voice synthesis. Sound is output from the SP.

  The voice processing unit 50 performs voice recognition processing on the voice data output from the D / A conversion unit 70, and converts the voice data into character information. As the speech recognition processing, a known technique such as HHM (Hidden Markov model) can be adopted as appropriate, and a brief description will be given as follows.

  That is, the speech characteristics are analyzed by MFCC (Mel Frequency Cepstral Coefficients) or the like on the input speech data to detect speech sections, and the speech data is divided into sections based on the detection results. Then, the speech data for each section is compared with the recognition dictionary, pattern recognition is performed, converted into character information, and output to the agent processing unit 10.

  The storage unit 80 includes a nonvolatile memory such as a flash memory or an HD (Hard Disk), and stores a content DB 82, a main genre recognition table 84, and a sub-genre recognition table 86 as shown in FIG. To do.

  The content DB 82 is a database for accumulating and storing the content file 200 downloaded from the server 3. The agent processing unit 10 accesses the server 3 and downloads the content file 200 including the content name 230 in the detailed information 220 according to the user download request via the communication network N. Then, the downloaded content file 200 is stored in the content DB 82.

  The acquisition of the music data 210 and the detailed information 220 is not limited to downloading from the server 3 via the communication network N, and may be acquired from a medium such as a CD-ROM. Specifically, the music data 210 stored in the CD-ROM is read and acquired by a CD drive or the like, and the detailed information 220 is transferred to the communication line network based on the TOC (Table Of Contents) information stored in the CD-ROM. Obtained from the server on N and stored as a content file 200.

  The main genre recognition table 84 is a data table that stores a main genre name, a holding ratio, a deviation value, and a recognition level in association with each other as in the data configuration example of FIG. Further, the sub-genre recognition table 86 is a data table that stores a sub-genre name, a holding ratio, a deviation value, and a recognition level in association with each other as in the data configuration of FIG.

  The possession rate is a parameter indicating how much the artist names of the already downloaded content file 200 are retained in the content DB 82 with respect to the total number of artist names classified into each genre. The agent processing unit 10 acquires the number of all artist names classified into each genre from the server 3. Then, a ratio of the number of artist names of each genre stored in the content DB 82 to the number of all acquired artists is calculated as a holding ratio and stored in the main genre recognition table 84 and the sub-genre recognition table 86. .

  For example, in the artist DB 100 classified by genre stored in the server 3, the number of all artist names classified into the main genre “Rock” is “70”, and the artist names whose main genre stored in the content DB 82 is “Rock”. Is “10”, the holding ratio “13%” is calculated and stored in the main genre recognition table 84 as shown in FIG.

  Further, in the artist DB 100 by genre, the number of all artist names classified into the sub-genre “guitar pop” is “5”, and the number of artist names whose sub-genre is “guitar pop” stored in the content DB 82 is “1”. In the case of “,” the holding ratio “20%” is calculated and stored in the sub-genre recognition table 86 as shown in FIG.

  The agent processing unit 10 calculates and stores a deviation value for each genre from the ownership ratio of each genre stored in the main genre recognition table 84 and the sub-genre recognition table 86. However, the calculation of the deviation value in the sub-genre recognition table 86 is performed using the main genre associated with the upper layer of each sub-genre as a base.

  Then, the agent processing unit 10 determines the degree of recognition for each genre according to a predetermined analysis pattern and stores it in each table. FIG. 6 illustrates an analysis pattern for determining the degree of recognition from the deviation value. For example, a genre having a calculated deviation value of 60 or more is estimated to be a genre having a preference that the user likes very much, and the degree of recognition is determined to be A rank.

  If the deviation value is 50 or more and less than 60, it is estimated that the genre is preferred by the user and is determined as B rank. If it is 40 or more and less than 50, it is determined that the genre is not known to C rank. decide. On the other hand, if the deviation value is less than 40, it is estimated that the genre is not good and is determined to be D rank.

  The agent processing unit 10 stores the determined degree of recognition in the main genre recognition degree table 84 and the sub-genre recognition degree table 86 for each genre. Based on the degree of recognition set for each genre, a content search that matches the user's preference is performed.

[Specific operation of content player]
Next, a specific operation of the content player 1 will be described with reference to a flowchart of FIG. 7 and diagrams showing an operation example of the content player 1 of FIGS.

  First, the agent processing unit 10 calculates the holding ratio and deviation value for each main genre and sub-genre based on the content DB 82 and the artist DB 100 classified by genre stored in the server 3. Each is stored in the genre recognition table 86 (step S1).

  Then, after determining the degree of recognition of each genre based on the stored deviation value and storing it in each table (step S3), for example, a message such as “What genre do you want?” As shown in FIG. By outputting T1 as a voice, the user's preference during content search is inquired (step S5).

  Then, based on the voice input from the microphone M, it is determined whether or not to search for a content of a favorite genre (step S7). When the voice input T2 including the keyword “like” as shown in FIG. 8 is made, the agent processing unit 10 determines that the user preference for performing content search of a favorite genre is input (step S7; Yes). ), The main genre name for which the recognition level of rank B or higher is set is selected from the main genre recognition level table 84.

  At this time, in the main genre recognition table 84 of FIG. 5, the main genre names for which the recognition level of rank B or higher is set are “Rock” and “Soul”, so the message T3 of FIG. Display output.

  Then, among the artist names of the main genre, an artist name that is not stored (not yet acquired) in the content DB 82 is searched from the artist DB 100 by genre distributed by the server 3 (step S9), and the voice output and display of the message T5 is performed. Present the search results to the user in the output.

  At this time, for example, when the search for the content of the artist presented to the user is requested by the voice input T6, the content name 230 associated with the artist name is retrieved from the server 3 and presented to the user by the message T7. To do. When the request for downloading the music data 210 of the content name 230 is made by the voice input T8, the music data 210 is downloaded from the server 3.

  As described above, when a user requests to perform content search in a favorite genre, an unacquired artist is searched from a main genre of rank B or higher and presented, so the user can select his / her favorite genre. Simply enter your preferences and you can easily find out the artists you have n’t downloaded yet.

  In the example of FIG. 8, it has been described that a plurality of artist names as search results are presented. For example, an artist name with a higher genre or an artist name with a higher popularity ranking is presented. For example, one of the plurality of search results may be selected and presented.

  Further, when the content name 230 is searched and presented to the user, the music data 210 associated with the content name 230 may be acquired and reproduced and output. At this time, a plurality of music data may be continuously reproduced and output, or special reproduction such as repeat reproduction, random reproduction, and intro reproduction may be performed.

  On the other hand, when it is determined in step S7 that content search of a favorite genre is not performed (step S7; No), it is determined whether or not a search for a genre that is not known is performed based on the inquiry result in step S5 ( Step S11). The agent processing unit 10 determines that a user preference for performing a content search of a genre that is not known has been input when the voice input T22 including the keyword “not much is known” is performed as shown in FIG. S11; Yes).

  Next, the name of the main genre with the recognition degree C rank is selected from the main genre recognition degree table 84, and the sound is output and displayed as message T29 in FIG. The agent processing unit 10 searches the server 3 for ranking information associated with the selected main genre name and presents the artist with the highest ranking (for example, first to third) to the user as in the message T31 ( Step S13).

  If it is determined in step S11 that a search for a genre that is not well known is not performed (step S11; No), it is determined whether to search for a genre that is not good based on the inquiry result in step S5 (step S11). S15). As shown in FIG. 9, the agent processing unit 10 determines that a user preference for performing a content search of a genre that is not good is input when the voice input T32 including the keyword “I am not good” is made (step S15; Yes), the main genre name for which the D rank is selected and the degree of recognition is selected is selected from the main genre recognition table 84, and is output and displayed as a message T33 in FIG.

  Then, the representative artist information associated with the selected main genre name is retrieved from the server 3, and the representative artist name in the main genre is presented to the user like a message T35. For this reason, the user can easily know popular artist names and representative artist names among genres that have not downloaded much music content simply by inputting their preferences. The width can be increased.

  After processing in steps S9, S13, and S17, the agent processing unit 10 makes an inquiry as to whether or not to dig down the specialty genre by outputting a message T9, and voice input such as “Yes”, “That's right”, or “Request” If T10 has been performed, it is determined that the user preference for digging down the specialty genre has been input (step S19; Yes).

  Then, the main genre name of A rank is selected, and among the sub genres associated with the main genre name, the sub genre name of A rank is selected from the sub genre recognition table 86 and presented to the user (step S21). ). Then, among the artist names classified into the selected sub-genre names, an artist not stored in the content DB 82 is searched from the artist DB 100 by genre distributed by the server 3 and presented to the user (step S23).

  In FIG. 5 (a), the main genre whose recognition level is A rank is “Soul”, and among the sub-genres associated with this “Soul”, the recognition is performed in the sub-genre recognition table 86 of FIG. 5 (b). Since the sub-genre of rank A is “a cappella”, the agent processing unit 10 presents a message T11 as shown in FIG. 8 to the user.

  Then, it is determined based on the content DB 82 that the artist who has not been downloaded among the artists classified by “a cappella” is “a cappellers”, and a message T13 is output. In this way, when the user inputs a preference to delve into the genres that he is good at, the unacquired artists are searched and presented in the sub-genre of rank A. You can easily find out artists who haven't downloaded yet.

  After processing in step S23, the agent processing unit 10 inquires whether or not to cultivate a good genre by voice output and display output of the message T15 as shown in FIG. 8, and determines that the preference for performing the pioneering has been input. If it is (step S25; Yes), the recognition level of the sub-genre to be searched is lowered to B rank, and among the artist names classified into the sub-genres higher than the B rank, they are not stored in the content DB 82. The artist is searched and presented to the user (step S27).

  In the sub-genre recognition table 86 of FIG. 5B, since the sub-genres with the recognition level B or higher are “a cappella” and “gospel”, the agent processing unit 10 presents the message T17 of FIG. 8 to the user. Then, among the artists classified by “Gospel”, an artist that has not been downloaded is searched, and the sound is output and displayed as message T19. As described above, when the user makes a request to cultivate a genre that the user is good at, the range of sub-genres to be searched is expanded, so that more artist names can be known.

  In step S19, when it is determined not to dig down the good genre (step S19; No), it is determined whether or not to develop a weak genre (step S29). For example, the agent processing unit 10 outputs and displays a message T21 as shown in FIG. 9 to inquire whether or not to develop a weak genre.

  And when it determines with the preference to perform the said exploration based on a user's voice input T22 (step S29; Yes), among the subgenres matched with the main genre of A rank, the Select a sub-genre whose degree of recognition is C rank or less and present it to the user. In FIG. 5 (b), the sub-genre whose recognition level is C rank or lower in the “Soul” of A rank is “Disco”, so it is presented as message T23 in FIG.

  The agent processing unit 10 acquires representative artist information associated with the sub-genre name of the sub-genre selected in step S31 from the server 3 and presents it to the user as shown in message T25 in FIG. 9 (step S33). For this reason, the user can easily know representative artist names of sub-genres that are not good in the good genre, and can widen the range of good genres.

  As described above, according to the present embodiment, the degree of recognition is determined for each genre of the downloaded content file 200, and the artist name or representative that the user has not downloaded in the genre of the degree of recognition according to the preference input by the user. Since the artist name is searched and presented to the user, new content can be searched according to the user's preference.

  For this reason, content that expands the user's preferences, such as introducing artist names that have not yet been acquired in genres that the user likes, or introducing representative artist names in genres that are not well known Can be introduced.

[Modification]
The embodiment described above is an example to which the present invention is applied, and the applicable range is not limited to the above. For example, it has been described that the degree of recognition is determined from the ratio between the number of artist names stored in the content DB 82 and the number of all artist names stored in the artist DB 100 by genre. It is good also as determining according to the frequency | count of reproduction | regeneration of.

  Specifically, the holding ratios in the main genre recognition table 84 and the sub-genre recognition table 86 are replaced with the number of reproductions, and the number of reproductions is added each time the music data 210 of each genre is reproduced. Based on the number of reproductions, the deviation value is calculated and the degree of recognition is determined. Thus, a genre that is frequently played back is a genre that the user likes, and a genre with a small number of playbacks is estimated to be a genre that the user does not know much or is not good at and searches for the artist name. it can.

  In addition, although it has been described that the artist name is searched and presented for each genre, the content name may be retrieved and presented, or the album name (affiliation) containing the content name is presented. The detailed information retrieved and presented to the user can be changed as appropriate.

  Moreover, although it demonstrated as searching the artist name which is not downloaded, the high ranking artist name, and the representative artist name according to the recognition degree based on a user preference, for example, recognition is high (for example, In the case of (B rank or higher), the artist name of the indie label may be searched and, if it is low (for example, C rank or lower), the artist name of the major label may be searched and presented.

  Here, an indie label represents an artist whose content is distributed by a creator's independent distribution means (for example, the Internet), and a major label is a national distribution means (for example, store sales). Represents an artist in circulation. In this case, indie information and major information indicating artist names of indie labels and major labels are stored for each genre in the artist DB 100 by genre stored in the server 3.

  In step S9, the agent processing unit 10 searches for indie information associated with a main genre of rank B or higher and presents the artist name of the indie label. In step S17, the major information associated with the D-rank main genre is searched, and the artist name of the major label is presented.

  As a result, it is possible to introduce an indie label artist in a genre presumed to be liked by the user, and a major label artist in a genre presumed not to be good. In step S19 and subsequent steps, sub-genre indie information and major information may be searched, and it goes without saying that the same effect can be obtained.

  Moreover, although it demonstrated as determining the recognition degree for every genre from the ratio (ownership rate) of the number of downloaded artists with respect to the number of artists for every genre that can be downloaded from the server 3, for example, content held for each genre It is good also as determining a recognition degree from a number. Specifically, the recognition degree of a certain main genre is determined from the ratio of the number of contents of the main genre to the number of contents of all downloaded genres. In addition, the degree of recognition of a certain sub-genre is determined from the ratio of the number of contents of the sub-genre to the number of downloaded contents in the main genre associated with the upper layer of the sub-genre. In this way, when attention is paid to a specific genre, the server 3 determines the degree of recognition from the ratio to the number of contents of a genre that is higher in the genre, such as the number of contents of all genres and the number of contents of the upper genre. The degree of recognition can be determined without accessing a DB having a huge amount of data to be stored.

  Moreover, although it demonstrated as downloading the content file 200 containing the music data 210, you may apply to the content player which can download the content file containing video data or book data, for example. Further, the content player 1 that downloads the content file 200 and stores it in the storage unit 80 and reproduces and outputs it has been described as an example of this embodiment. For example, the music data 210 received via the communication network N is received in real time. The present invention may be applied to a streaming player that downloads and plays back and outputs.

The block diagram which shows an example of a function structure of a content player. The figure which shows an example of the data structure of a content file. The figure which shows an example of the hierarchical structure of a main genre and a sub genre. The figure which shows an example of a data structure of the artist database classified by genre. (A) is a main genre recognition table, (b) is a figure which shows an example of a data structure of a sub genre recognition table. The figure which shows the analysis pattern which determines recognition from a deviation value. The flowchart for demonstrating operation | movement of a content player. The 1st figure which shows the operation example of a content player. The 2nd figure which shows the operation example of a content player.

Explanation of symbols

1 content player 3 content distribution server 10 agent processing unit 20 input unit 30 display unit 40 communication unit 50 audio processing unit 60 A / D conversion unit 70 D / A conversion unit 80 storage unit 82 content database 84 main genre recognition table 86 sub Genre recognition table 200 Content file 210 Music data 220 Detailed information 230 Content name 240 Artist name 250 Main genre name 260 Sub genre name 100 Genre-specific artist database N Communication network SP Speaker

Claims (3)

Content storage means for storing detailed information including genre information and content files in association with each other;
Recognizing degree determining means for referring to the detailed information stored in the content storing means, and determining the recognizing degree based on the holding ratio for each genre of the content file;
An input means for inputting user preferences;
Search means for searching for detailed information on the genre based on the user preference input by the input means according to the recognition degree of the genre determined by the recognition degree determination means, and presenting the search result to the user;
Equipped with a,
The search means includes
When the degree of recognition of the genre based on the user preference is equal to or higher than a predetermined value, search for and present other detailed information except the detailed information associated with the content file stored in the content storage unit in the genre. Unacquired content information search means,
When the degree of recognition of the genre based on the user preference is less than or equal to a predetermined value, representative information search means for searching and presenting representative detailed information in the genre;
Content search device according to claim Rukoto to have a. The genre is a genre in which a plurality of genres are associated in a hierarchical manner,
The search means includes
When the recognition level of the genre based on the user preference is equal to or higher than a predetermined value, the detailed information of the lower genre associated with the genre of the recognition level is searched and presented according to the recognition level of the lower genre. The content search apparatus according to claim 1, further comprising a lower-layer genre search means. Computer
Content storage means for storing detailed information including genre information and content files in association with each other;
A degree-of-recognition determination means for referring to the detailed information stored in the content storage means to determine the degree of recognition based on the holding ratio of each genre of the content file;
Input means for inputting user preferences,
Search means for searching for detailed information of a genre based on the user preference input by the input means according to the recognition degree of the genre determined by the recognition degree determination means, and presenting the search result to the user,
To function as,
The search means includes
When the degree of recognition of the genre based on the user preference is equal to or higher than a predetermined value, search for and present other detailed information except the detailed information associated with the content file stored in the content storage unit in the genre. Unacquired content information search means,
When the degree of recognition of the genre based on the user preference is less than or equal to a predetermined value, representative information search means for searching and presenting representative detailed information in the genre;
The content search program characterized by having .

Images