JP2014048946A - Electric device and method for controlling the same - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an electric device that presents contents with high topicality and a method for controlling the same.SOLUTION: An electric device has acquisition means, weighting means, and display output means. The acquisition means acquires a keyword relevant to contents. The weighting means performs weighting of the keyword acquired by the acquisition means in accordance with a predetermined rule. The display output means outputs a display signal which displays selection instructing input in an accepting state for the keyword weighted by score calculating means.

Description

  The present invention relates to an electronic device and a control method thereof.

  Electronic devices that record broadcasts (programs) of many channels provided by broadcasters or contents distributed by broadcasters over a long period of time are already in widespread use.

JP 2006-352312 A

  It is difficult to view (reproduce) all of the content (program) recorded by the electronic device, a presentation method for presenting a recommended program according to the user's preference, and an electronic device that encourages viewing of highly current content Has been proposed.

  However, for example, when presenting highly current content as a viewing target, there is still room for an electronic device (presentation method) that can reliably satisfy the user with respect to the presented content.

  An object of the present invention is to provide an electronic device that presents highly current content and a control method thereof.

  The electronic device according to the embodiment includes an acquisition unit, a weighting unit, and a display output unit. The acquisition unit acquires a keyword related to the content. The weighting unit weights the keyword acquired by the acquiring unit according to a predetermined rule. The display output means outputs a display signal to be displayed so that a selection instruction input for the keyword weighted by the score calculation means can be received.

An example of the electronic device concerning embodiment is shown. 2 shows an example of a database (stored information) in the electronic apparatus according to the embodiment. An example of the keyword in the electronic device concerning embodiment is shown. An example of the keyword in the electronic device concerning embodiment is shown. An example of the keyword in the electronic device concerning embodiment is shown. An example of the keyword (score) in the electronic device concerning embodiment is shown. An example of the keyword (score) in the electronic device concerning embodiment is shown. An example of the score calculation process in the electronic device concerning embodiment is shown. An example of the example of a keyword display in the electronic device concerning an embodiment is shown. An example of a keyword display example in the electronic apparatus according to the embodiment is shown. An example of the example of a keyword display in the electronic device concerning an embodiment is shown. An example of the display example of the keyword list in the electronic device concerning embodiment is shown. An example of the display example of the keyword list in the electronic device concerning embodiment is shown. An example of the recording reservation from the keyword list in the electronic device according to the embodiment is shown. An example of the keyword search (subword) in the electronic device concerning embodiment is shown. An example of the keyword search (prefix) in the electronic device concerning embodiment is shown. An example of the keyword search (suffix) in the electronic device according to the embodiment is shown. An example of the keyword search (subtitle) in the electronic device according to the embodiment is shown. 2 shows an example of keyword search (numerical) in the electronic apparatus according to the embodiment.

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

  FIG. 1 illustrates an example of an electronic apparatus according to the embodiment. The elements / configuration described below may be realized by hardware, or may be realized by software by a microcomputer (CPU (Central Processing Unit), processing device) or the like. Good. In the following description, a description referred to as a program (sometimes referred to as content / title / information / stream, etc.) includes video (Video) and audio or music (Audio). In addition, the video includes a moving image and a still image, or text (information represented by characters or symbols indicated by a coded code string), and any combination thereof.

  An electronic device shown in FIG. 1, for example, a television receiver (hereinafter referred to as a television device) 1 that reproduces a program acquired through a spatial wave or a network (communication network) as a television broadcast includes a receiving unit 10 and a recording processing unit 20. A data processing unit 30, a data storage unit 40, a storage 101, a keyword acquisition unit 50, a keyword score calculation unit 60, a list display / selection unit 70, a reproduction processing unit 80, a recording processing unit 90, and the like. Further, the television device 1 is connected to the main control block 111, the display device 121, and the like. Note that the storage 101 may be prepared independently of the television device 1.

  The receiving unit 10 receives one or more digital broadcast signals from an antenna or an external input. That is, the receiving unit 10 tunes (tunes) the input digital broadcast signal and supplies the tuned digital broadcast signal to the recording processing unit 20. The signal received by the receiving unit 10 is not limited to one broadcast signal.

  The recording processing unit 20 records the broadcast signal received by the receiving unit 10 in the storage 101. The storage 101 includes, for example, an HDD (hard disk device), a semiconductor memory (memory card), a BD (Blu-ray Disc) standard optical disc), a DVD (Digital Versatile Disk) standard optical disc, or the like.

  The recording processing unit 20 also stores information related to the program, for example, EPG (Electric Program Guide, electronic program guide) information, in the storage 101. In the storage of information about programs, it is preferable to create a database, for example.

  The recording processing unit 20 can store not only the method of storing the broadcast signal as it is, but also a method of storing information selected from the broadcast signal such as only audio / video information or audio / video / text information.

At this time, information related to the program (EPG information) is also stored in the storage. For example, a database is used to store this information. The data processing unit 30 uses the digital broadcast signal to store the above EPG information, particularly EIT (Event Information Table) information. , And syntactic analysis and morphological analysis processing are performed from the title, the program outline, and the detailed program information, and keywords are extracted therefrom.

  The data storage unit 40 stores the keywords acquired by the data processing unit 30 in a database on the storage 101. It should be noted that the information from which the keyword was detected (from which of the title, the program outline, and the detailed program information) may be recorded together.

  The keyword acquisition unit 50 acquires keywords and the number of appearances from the storage 101. At this time, for example, a period (1 day, 1 week, etc.) is designated, and the keyword and the number of appearances thereof are acquired. Also, re-broadcast programs are excluded, short-term programs are excluded, programs are acquired only from programs of a specific genre, programs of a specific genre are excluded, or the same keywords of continuous programs are excluded The keyword and the number of appearances are acquired by combining conditions such as

  The keyword acquisition unit 50 also extracts the total program broadcast time length, the program time zone bias, the program genre bias, the broadcast station bias, the continuity and overlap of program titles, and the user viewing history. Or the obtained keyword (a distinction between title, program outline, program detailed information, etc.) as a parameter.

  The keyword acquisition unit 50 further changes the keyword acquisition period according to the recording environment on the system such as the number of programs and the number of keywords recorded in the system. It is also possible to change the keyword acquisition period at random and give the result randomness.

  The keyword score calculation unit 60 calculates the appearance frequency of the keyword as a score, and sets it as a hot keyword in descending order of the score. For example, the number of appearances of two periods with different lengths for one keyword is acquired from the keyword acquisition unit, and the ratio of the number of appearances in addition to the number of appearances is calculated as a score. In addition, the score may be calculated by statistical hypothesis testing, IDF (Inverse Document Frequency), or a combination thereof, instead of the ratio of the number of appearances. The keyword score calculation unit excludes keywords, re-broadcast programs, and short-time broadcast programs that have a large number of appearances one week before the score calculation, so that specific keywords or hot keywords appear repeatedly every week. Programs that do not belong to the category (at least re-broadcast programs are considered to be considered less current).

  The keyword score calculation unit 60 also calculates a score using parameters such as total program broadcast time length, program time zone bias, program genre bias, broadcast station bias, viewing history, and the like. Further, when the calculated scores are the same, it is also possible to give the order randomness so that the order is not fixed in, for example, the character code order.

  The keyword score calculation unit 60 stores the calculation result (calculation score) on a memory connected to the main control block 101 or held in the main control block 101 (interpolated as firmware), etc., and updates the program. Until the above timing is reached, the stored calculation score (calculation result) is used without recalculating the score (the stored calculation result is used for a predetermined time (period)). The score calculation (processing) is preferably performed in the background, and the stored calculation result is preferably used until the processing is completed.

  The keyword score calculation unit 60 further refers to the EPG information for future programs that have not yet been broadcast (hereinafter referred to as future programs) based on the above-described score calculation results for recorded programs. Calculate hot keywords. As a result, it is possible to automatically record a program that is determined to be highly current (set a recording reservation for reserved recording).

  The list display / selection unit 70 outputs one or more hot keywords to the reproduction processing unit 80 so that the display device 121 (display screen) can display them. As a result, the hot keyword list is displayed on the display device 121 connected to the reproduction processing unit 80. That is, the list display / selection unit 70 displays a list of keywords on the display screen (display on the display device 121) for each type of part of speech obtained by the parsing or morphological analysis processing by the data processing unit 30. At this time, the keywords of the same group are collectively displayed as a list on the screen.

  The list display / selection unit 70 also displays a list of programs related to the hot keyword selected (input) by operating the remote control terminal. Note that the program list is displayed, for example, from the latest program to the past program (in time series).

  The reproduction processing unit 80 reads out and reproduces the program selected by the list display / selection unit 70 from the storage 101 in accordance with an instruction (input) by the user.

  The recording processing unit 90 refers to the EPG information based on the result of the above score calculation by the keyword score calculation unit 60, that is, the hot keyword given by the user (input), and automatically records the program with the matching hot keyword. (Set recording reservation for reserved recording).

  FIG. 2 describes information stored in the storage 101.

  The broadcast signal recorded in the storage 101 is associated with the database constructed in the storage 101 described above and is used at the time of reproduction described later.

  The data processing unit 30 acquires information related to the program such as the program name, broadcast date and time, and broadcast content included in the EIT (EPG) from the digital broadcast signal. That is, the EIT includes, as EPG information, information such as a program title, a program summary, detailed program information, a channel, a genre, and a program broadcast time length related to the program.

  The data processing unit 30 performs processing such as syntax analysis and morphological analysis on the acquired information, and extracts keywords. Note that syntax analysis and morphological analysis do not depend on a specific method. The nouns detected by the syntax analysis or the morphological analysis in this way are set as keywords below.

  Keywords are not limited to simple nouns. For example, not only combinations of adjectives and nouns, but also double quotes (""), brackets ("" / ""), etc. It is a key word that has a particularly important meaning. That is, it refers not only to general nouns (proprietary nouns and noun phrases), but also to words such as words separated by syntax boundary units, or a collection thereof.

  The keywords will be described in detail later with reference to FIGS. 15 to 19, but there are things to be excluded and those to be databased as keywords.

  The keyword can be extracted not only from the program title but also from the program summary and the program detailed information.

  For example, as shown in FIG. 3, it is possible to extract keywords by using syntax analysis and morphological analysis for the program title. For example, from the title “London Olympic Special Feature”, “London”, “Olympic” , "Special feature" can be extracted as a keyword. “London Olympics” in which two nouns are combined can also be used as a keyword.

  The keyword extracted in this manner is stored in the database on the storage 101 by the data storage unit 40. The keyword (extracted above) stored in the storage 101 is stored in the recording processing unit 20 in association with the broadcast signal. At this time, it is (preferably) recorded together from which information the keyword was detected (from which of the title, the program outline, and the detailed program information).

  As shown in FIGS. 4 and 5, the keyword acquisition unit 50 extracts keywords and the number of appearances from the information (database) on the storage 101 stored in the data storage unit 40. 4 and 5 are keywords extracted during a specific period, for example, 7 days. By the way, the number of appearances of the keyword is counted as 1 for one program even if it appears in duplicate in the title, program outline, detailed program information, and the like. Of course, it is possible to count without considering duplication in the program.

  As for the keyword “Olympic” shown in FIG. 4, it can be seen that 50 to 50 programs exist. As shown in FIG. 6, when the number of appearances is limited for a period, for example, the most recent one of the seven days held in the database (storage 101) is designated and a keyword is extracted, You can see that the program exists. When a score to be described later is obtained, a score as shown in FIG. 6 is obtained. Therefore, it can be seen that “Olympic” is highly current.

  On the other hand, programs that are clearly broadcast in a specific period, such as the “Olympic Games”, are naturally highly current, and the same program or broadcast with substantially the same content Is expected to contain.

  For this reason, for example, at the time of keyword acquisition, excluding rebroadcast programs, excluding short-time programs (for example, 10 minutes or less), limiting to programs of a specific genre, and conversely excluding programs of a specific genre It is effective to extract keywords and the number of appearances by adding conditions such as In particular, very short programs of about 5 minutes to 1 minute are often broadcast at a certain time throughout the week, and such programs contain keywords that are effective in calculating hot keywords. It may be judged that there are few. Also, in the morning news programs, etc., the titles change, but almost the same performers and broadcasts with the same content are often repeated. In this case, the keywords obtained from the EPG are substantially the same, and the number of appearances of specific keywords increases.

  In such a program that continues from the background, it is also effective to exclude keywords that appeared in the previous program (preferably adding logic). Also, for programs that are repeatedly broadcast in the morning, noon, and night, the titles are often almost the same, so it is effective to eliminate the second and subsequent appearances by looking at the similarity of the titles. (Preferably adding logic). Note that the degree of similarity between titles can be checked by using, for example, the matching rate of characters in the program title.

  In addition, it is necessary to exclude documentary rebroadcast programs (for example, when the title has a rebroadcast or [[re]]] is described (displayed)) from the viewpoint of hot keyword extraction. Similarly, it is preferable to exclude program genres such as drama and animation.

  Note that the keyword acquisition unit 50 may calculate the total broadcast time length of the total programs including the keyword information, and use this as a score calculation parameter described later. Further, a value that determines whether a keyword appears only in a certain time zone or in various time zones may be acquired as a parameter. Furthermore, a value for determining whether the keyword appears in one program genre or in a plurality of program genres may be acquired as a parameter. Furthermore, a value that determines whether a keyword appears at one broadcasting station or at a plurality of broadcasting stations may be acquired as a parameter. Furthermore, a value that determines whether the keyword is a program that the user actually viewed or not viewed may be acquired as a parameter.

  As described above, by using the feature of the appearance of the keyword as a parameter, it is possible to extract a program with higher current characteristics.

As a means for acquiring the keyword and the number of appearances (number of appearances), it can be realized by a method of programmatically counting the number of appearances for each keyword, a method using a database function, etc., but the method is particularly limited. is not. For example, as shown in [Formula 1], it is possible to use a SQL statement that calculates a keyword and the number of appearances using a database function. That is, the keywords, the number of appearances, and the total program broadcast time length that appear within a certain period (July 25, 2012, 9:00 to 26th, 9:00) are obtained in descending order of the number of appearances. At this time, it is assumed that a program whose title [[Re]] or rebroadcast is displayed, or a program whose broadcast duration is less than 10 minutes, for example, is excluded.

  However, the recorded program may differ even when the same period (date and time) is designated by the recording environment setting. This is because the type / number / area of broadcast stations to be recorded and the length of time / time zone to be recorded are different. Therefore, for example, referring to the number of programs, the number of keywords, etc., the period for extracting the keywords may be dynamically changed.

  For example, when recording all day (all day) (24 hours per day), when recording only the golden time (3 hours per day), hot keywords are obtained from the previous three days. Etc. are effective.

A method for obtaining the number of programs, for example, as shown in [Formula 2], an SQL statement for obtaining the number of programs from a database for a certain period (2012: July 25, 9: 00 to 26, 9:00) is shown. It is possible to use.

  By the way, when there are few recorded programs, the number of keywords that can be extracted is generally small. For example, when there are about 100 extracted keywords, the number of appearances may be (all) one program. In this case, the ordering can be made according to parameters such as program broadcast time length, program time zone, program genre, broadcast station, viewing history, and the like. It is also possible to switch the results at random.

  Therefore, it is preferable that the keyword score calculation unit 60 calculates the hot keyword-likeness as a score and ranks the keywords for the extracted keywords.

In general, a keyword having a higher number of appearances of a keyword can be said to be a more popular keyword. Therefore, as shown in [Equation 3] below, the number of appearances can be used as a score, and a hot keyword can be set in descending order.

On the other hand, as described above with reference to FIGS. 4 to 6, when the keyword extraction period is long, the number of appearances may increase. For example, the number of keyword appearances in two periods of the most recent 1 day and the most recent 7 days From the keyword acquisition unit 50, the ratio of the number of keyword appearances for 1 day and 7 days, statistical hypothesis test, calculation of importance by IDF (Inverse Document Frequency) described below by [Equation 4], etc. As shown in FIG. 6, it is preferable to calculate a score by a calculation formula or an arbitrary combination thereof and use the hot keywords in descending order of the score.

For example, when calculating the score by “(appearance frequency * ratio of appearance number)”, the calculation described below can be used by [Equation 5].

  For example, by acquiring the number of keyword appearances for one day before one week from the keyword acquisition unit 50 and excluding the one-day keyword, it is possible to exclude a specific keyword broadcast every week.

  For example, as shown in FIG. 7, in the hot keyword list for the most recent day, “News” is listed in the third place and “Sunday” is listed in the sixth place. On the other hand, in the hot keyword list one week ago, “News” is ranked first and “Sunday” is ranked sixth. Therefore, these two hot words are excluded from the list as keywords repeated every week. As shown here, in addition to the method of forcibly removing those with higher ranks on the list, the score is calculated by subtracting the number of appearances one week ago from the number of appearances in the last one day, etc. This method can also be applied.

  As described above, in the keyword score calculation unit 60, the keyword acquisition unit 50 can acquire keywords excluding rebroadcast programs, short broadcast programs, and the like and the number of appearances thereof, and calculate the score.

  Similarly, the keyword score calculation unit 60 acquires, as parameters, total program broadcast time length, program time zone bias, program genre bias, broadcast station bias, viewing history, and the like. It is possible to use. In other words, hot keywords with high current affairs can be extracted with higher accuracy when the score is calculated by the keyword score calculation unit 60. When the score values calculated by the keyword score calculation unit 60 are the same, the ranks may be randomly switched as a function of the keyword score calculation unit 60 or the main control block 111 so that the ranks are not fixed.

  By the way, the keyword acquisition processing by the keyword acquisition unit 50 and the keyword score calculation processing by the keyword score calculation unit 60 are not performed every time the list is displayed as shown in FIG. Is stored in the storage 101 or the memory or the recording processing unit 20, and when there is no program update such as addition of a new program or deletion of a program, the previous result is displayed, and processing is performed only when the program is updated. It is preferable to adopt the method.

  For example, in FIG. 8, in the case of a predetermined time (no program update) after the previous score processing, the above-mentioned saved result (score) is displayed [81-No], and the program is updated Only [81-Yes] performs keyword acquisition [82], hot keyword calculation [83], and hot keyword display [84] to increase program information, such as keyword acquisition and hot keyword calculation. Even when processing takes time, an operation without stress can be realized. In addition, by executing the process (score calculation) in the background, it is possible to use the saved result until the execution is completed.

  Thereafter, hot keyword selection [85] and reproduction [86] are performed by the user.

  By the way, similar to the EPG information of a recorded program, EPG information can be acquired for a future program. Therefore, the present method described so far can also be used for calculating hot keywords for future programs. That is, it is possible to automatically record a program that is determined to be highly current (set a recording reservation for reserved recording). That is, although an example is shown in FIG. 14, when there is a program that is not a recording target but matches a hot word, the recording processing unit 90 can automatically make a recording reservation for the program. .

  Of course, it is also possible to calculate a hot keyword from EPG information in which the future and the past (recorded) are mixed.

  Based on the score calculated by the keyword score calculation unit 60, the list display / selection unit 70 outputs the display device 121 (display screen) to the reproduction processing unit 80 as described above so that it can be displayed. At this time, the list displayed on the display screen (display on the display device 121) may display not only one hot keyword but also a plurality of hot keywords as shown in FIG. That is, in FIG. 9, in the left and right two-column display, the left side indicates a theme (event / noun), and the right side indicates a person name. As shown in FIG. 10, keywords in the same group may be displayed together as a list. For example, [DD Taro] and [DD Jiro] in the person name display on the right side of FIG. 9 often have substantially no single appearance, and both persons appear in the same program. In this case, the hot keywords are summarized as [DD Taro / DD Jiro]. In addition, even if one of the names is listed in advance by using a data dictionary of person names and group names, it is possible to always display both of them or convert them to group names and display them. Yes (preferably adding logic).

  Further, in the data processing unit 30, hot keywords may be displayed by type depending on the type of part of speech obtained by keyword morphological analysis.

  For example, idol group members, politicians, and athletes can be grouped together. In this case, it is preferable to use, for example, previously registered dictionary data for group discrimination.

  As a display example of the list, as shown in FIG. 11, the keyword score calculation unit 60 may display a plurality of periods used for keyword calculation on the screen at a time.

  FIG. 12 illustrates a hot keyword list display request (display at the time of reproduction instruction) by the user.

  When there is a hot keyword list display request by the user [121-Yes], the keyword acquisition unit 50 acquires a keyword [122], and the keyword score calculation unit 60 performs a score calculation process [123].

  Thereafter, the keywords are output to the reproduction processing unit 80 as described above so that the display device 121 (display screen) can display them in the calculated score order [124].

  When the user selects a keyword from the list (displayed) [125-Yes], a program that matches the keyword is acquired, and the program is displayed in a list. At this time, the display order of the programs is, for example, displayed in order from the latest program to the past [126]. It is also possible to display the programs that match the title in order, then display the programs that match the program summary in order, and then display the programs that match the program details in order. It is. Further, the broadcast station A program, the broadcast station B program, the broadcast station C program,..., The broadcast station A program,. It is also possible.

  If the user selects a program, the playback unit reads the selected recorded program from the storage and plays it back [127].

  When a user operation (selection input) is performed on the screen display displayed in accordance with the hot keyword list display request by the user, for example, as shown in an example in FIG. A list of associated programs is displayed.

  FIG. 14 shows an example of recording reservation (setting of recording reservation for reserved recording) of a program that is determined to have the above-mentioned current events.

  As shown in FIG. 14, a hot keyword is calculated from EPG information of a future program [141], and the recording processing unit 90 determines whether or not the program is a recording target program (whether or not a recording reservation for reserved recording is set). ) Is determined [142]. When the recording reservation of the program determined to be the recording target is not set [142-Yes], the recording reservation of the program is performed.

  When a program is automatically reserved for recording, it is preferable to consider the remaining recording capacity of the storage 101, competition with a recording reservation already set in the same time zone, and the like. For example, it is possible to set a condition such as limiting to keywords whose score is within the top three or matching the user's preference information. In particular, for programs that can obtain user preference information such as keywords selected by the user and keywords that appear in the program being viewed, a recording reservation is set even if the score rank is lower. It is preferable to do.

  Of the keywords, "subword detection", "prefix", "suffix", "subtitle", and "numerical" can be extracted as shown below with reference to FIGS.

  That is, as shown in FIG. 15, text data that is the title of an EPG that is a keyword used for searching for information to be searched is input from a search keyword input unit 201 by a user keyboard or a voice input unit [151 ].

  The text data input from the search keyword input unit 201 is input to the subword detection unit 203, and the subword detection unit 203 decomposes the input text data into morpheme strings by morpheme analysis. The partial string of the morpheme string is compared with the subword character string stored in the subword DB (database) 211, and if there is a match, the partial string is determined as a subword. The subword DB 211 has four types of subword classifications: prefix, suffix, subtitle indicator, and number of stories (numerical numbers). Each character string frequently appears as a prefix, character string frequently appears as a suffix, and subtitle instruction. A character string that frequently appears as a word indicating a word is stored. Also, the number appearing at the end is treated as a detection target by treating it as a subword as the number of stories [152].

  The subword detected by the subword detection unit 203 is input to the new search keyword generation unit 205. The new search keyword generation unit 205 performs processing corresponding to the input subword. For example, “delete the subword”, “change” the subword as a search keyword, “leave the subword as it is”, etc. A new search keyword is generated by this processing [153]. .

  Using the new search keyword generated by the new search keyword generation unit 4, the information search unit 207 performs a search for the dedicated dedicated site [154].

  A desired search result is obtained by collecting search information of the search result [155].

  Next, the processing operation when searching for “prefix” will be described.

  FIG. 16 is a flowchart showing processing operations until a prefix is output as a new search keyword. [164] and subsequent steps are omitted because they are the same as the example of FIG.

  From the search keyword input unit 201, the text data which is the title of the EPG which is a keyword used for searching for the information to be obtained is input [161].

  The text data input from the search keyword input unit 201 is input to the subword detection unit 203, and the subword detection unit 203 decomposes the input text data into morpheme strings by morphological analysis [162a].

  The prefix of the prefix group stored in the prefix DB 211a of the subword DB 211 is searched [162b].

  The prefix group stored in the prefix DB 211a is compared with the beginning of the morpheme string obtained by morphological analysis. If the beginning of the morpheme sequence is in the prefix group stored in the prefix DB 211a, the beginning of the morpheme sequence is determined as a prefix [162c].

  Since the head of the morpheme string of the input search keyword is in the prefix group stored in the prefix DB 6a by the determination in [162c], when the head is determined as a prefix, that is, “Yes” ”Is input to the new search keyword generation unit 205.

  The new search keyword generation unit 205 associates a process for each word with the input search keyword in advance (which process is selected for each word is stored as an item in the prefix DB 211a). A corresponding process is performed to generate a “new generation keyword”. The correspondence processing means “Leave the prefix“ Leave ””, “Delete the prefix”, “Handle the prefix as a“ search phrase ”(“ Delete ”the character string after the prefix) ) "Is one of the three [163].

  The search keyword obtained by the above processing is output to the information search unit 209 as a new search keyword. For example, if there is a program title having the prefix “animation.” In the group, this “animation.” Part is unnecessary when searching for information, which is an obstacle to the search. Therefore, a process of “deleting” is performed for this prefix. Further, for example, since a program title having a prefix “NMK” is necessary for the search, processing for leaving the prefix is performed. The phrase “Hobby Rakutaku” is a character string that can be adopted as a program title, and the subsequent character string is a subtitle. When searching, since it is not possible to search without using the “hobby easy” part, this prefix is treated as a search term for this keyword.

  Further, if the beginning of the morpheme string of the input search keyword is not in the prefix group stored in the prefix DB 211a according to the determination in [162c], the beginning is regarded as a prefix. I will leave it alone. That is, when it is determined as “No”, “Left” processing for leaving a prefix is performed, and the search keyword obtained by the processing is output to the information search unit 209 as a new search keyword.

  Next, the processing operation when searching for “suffix” will be described. The suffix processing is basically the same as the prefix.

  FIG. 17 is a flowchart showing processing operations until a suffix is output as a new search keyword.

  From the search keyword input unit 201, the text data that is the title of the EPG, which is the keyword used for searching for the information to be searched, is input [171].

  The text data input from the search keyword input unit 201 is input to the subword detection unit 203. The subword detection unit 203 decomposes the input text data into morpheme strings by morphological analysis [172a].

  The suffix of the suffix group stored in the suffix DB 211b of the subword DB 211 is searched [172b].

  The suffix group stored in the suffix DB 211b is compared with the tail part of the morpheme string obtained by the morpheme analysis. If the tail part of the morpheme string is in the suffix group stored in the suffix DB 211b, the tail part of the morpheme string is determined as a suffix [172c].

  If it is determined in [172c] that the end part of the morpheme string of the input search keyword is a suffix, that is, “Yes” is determined, the word determined to be the suffix is a new search keyword generation unit 205 Is input.

  The new search keyword generation unit 205 associates a process for each word with the input search keyword in advance (which process is selected for each word is stored as an item in the suffix DB 211b). A corresponding process is performed to generate a “new generation keyword”. Note that the corresponding processing is “Leave the suffix“ Left ””, “Delete the suffix”, “Handle the suffix as a search term” (“Delete” the character string after the suffix) ) "Is one of the three [173].

  Further, when the beginning of the morpheme string of the input search keyword is not in the prefix group stored in the suffix DB 211b according to the determination in [172c], the beginning is regarded as a suffix. I will leave it alone.

  Thereafter, the search keyword obtained by the processing is output to the information search unit 209 as a new search keyword [174].

  Next, the processing operation when searching for “subtitle instruction word” will be described.

  The processing operation of the subtitle directive is the same as the processing related to the prefix and the processing related to the subtitle directive as the basic processing flow. However, as described above, the subtitle is a parenthesis ("subtitle directive"). “-”) And double quotations (“-”) are often used.

  FIG. 18 is a flowchart showing a processing operation until a subtitle instruction word is output as a new search keyword.

  From the search keyword input unit 201, the text data that is the title of the EPG, which is the keyword used to search for the requested information, is input [181].

  The text data input from the search keyword input unit 201 is input to the subword detection unit 3, and the subword detection unit 203 decomposes the input text data into morpheme strings by morphological analysis [182a].

  A subtitle indicating word is searched from the subtitle indicating word group stored in the subtitle indicating word DB 211c of the sub word DB 211 [182b].

  The subtitle indicating words of the subtitle indicating word group stored in the subtitle indicating word DB 211c are compared with the morpheme string obtained by the morphological analysis. If the symbol of the morpheme string is in the subtitle indicator word group stored in the subtitle indicator DB 211c, the symbol of the morpheme string is determined as the subtitle indicator [182c].

  Since the morpheme string symbol of the input search keyword is in the subword indicator word group stored in the subtitle indicator DB 211c by the determination in [182c], if the head is determined to be a subtitle indicator, The symbol determined to be an instruction word is input to the new search keyword generation unit 205.

  The new search keyword generation unit 205 associates a process for each word with the input search keyword in advance (which process is selected for each word is stored as an item in the subtitle instruction word DB 211c. ).

  Note that the handling process is one of “delete” the subtitle directive or “leave the subtitle directive” [183].

  Further, when the beginning of the morpheme string of the input search keyword is not in the subtitle instruction word group stored in the subtitle instruction word DB 211c based on the determination in [182c], the beginning is regarded as the subtitle instruction word. And decide to leave. Therefore, the “leaving” process for leaving the subtitle instruction word is performed, and the search keyword obtained by the process is output to the information search unit 209 as a new search keyword [184].

  Next, the processing operation when searching for “numerical words” will be described.

  In search keywords input as program titles, a number often appears at the end. For example, “12” displayed in numbers in “NMK Tanka-12”.

  First, the principle of handling numbers will be explained.

  The following typical examples can be considered as situations in which a number is displayed.

(B) The number represents the number of episodes (the episode ○)
(B) The number represents the time (often in news programs)
In this case, it is possible to perform an appropriate search process for (a) without or without a numeral.
On the other hand, in the case of (b), if there is no number, the target information cannot often be searched.
Therefore, this situation is determined by determining whether the numeral represents time.

  In some cases, a number is added to the end of the program title for the purpose of program production. For this, a separate database is prepared and excluded before the number processing operation.

  FIG. 19 is a flowchart showing a processing operation until a numeral is output as a new search keyword.

  From the search keyword input unit 201, the text data which is the title of the EPG which is a keyword used for searching for the information to be searched is input [191].

  The text data input from the search keyword input unit 201 is input to the subword detection unit 203. The subword detection unit 203 decomposes the input text data into morpheme strings by morphological analysis [192a].

  The number is searched from the number data stored in the number DB 211d of the subword DB 211 [192b].

  It is determined whether or not the retrieved number is time. Since the time information is added in the same row as the program title in the EPG, this data is used [192c].

  If it is determined in [192c] that the number is a time, ie, “Yes” is determined, the determined number is output as a new search keyword.

  On the other hand, when it is determined in [192c] that the number is not the time, the number is determined as the number of stories, and the number of stories (numerical numbers) is deleted [193].

  The word from which the number of stories (numerical numbers) is deleted is output as a new search keyword [194].

  In this way, an electronic device that encourages viewing of highly current content from content (program) recorded by the electronic device is provided. In particular, for the presented content, it is possible to present viewing of the content that the user wants to see.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  DESCRIPTION OF SYMBOLS 1 ... Electronic device, 10 ... Reception part, 20 ... Recording processing part, 30 ... Data processing part, 40 ... Data storage part, 50 ... Keyword acquisition part, 60 ... Keyword score calculation part, 70 ... List display / selection part, 80 ... Reproduction processing unit, 90... Recording processing unit, 101... Storage (recording unit), 111.

Claims (9)

An acquisition means for acquiring keywords related to the content;
Weighting means for weighting the keyword acquired by the acquisition means according to a predetermined rule;
A display output means for outputting a display signal to be displayed so as to receive a selection instruction input for the keyword weighted by the score calculation means;
An electronic device comprising:   The score calculating means includes a keyword included in content appearing on the same day of the week, a keyword included in content that is less than a predetermined time, a keyword included in content that repeatedly appears on the same day, and a keyword included in content that appears repeatedly every fixed time. , Keywords included in content that appears from multiple sources, total content length, content time zone bias, content genre bias, content source bias, content title continuity and overlap, The electronic device according to claim 1, wherein weighting is performed based on at least one of the history.   The electronic device according to claim 2, wherein the score calculation means increases the degree of weighting of keywords that satisfy a certain condition in the weighting.   The electronic device according to any one of claims 1 to 3, wherein the display output unit displays the result of the weighting by the score calculation unit in a list by two or more display methods.   5. The electronic apparatus according to claim 1, further comprising a reproduction control unit that reproduces the content held by the recording unit in accordance with a selection instruction corresponding to the display signal by the display output unit.   6. The electronic apparatus according to claim 1, further comprising a recording unit that holds the content.   7. The electronic apparatus according to claim 1, further comprising a setting unit that sets a recording reservation for content recorded by the recording unit.   The electronic device according to claim 1, further comprising display means for displaying the reproduction output of the content. Get keywords related to your content,
Weight the keywords to be acquired according to certain rules,
A method for controlling an electronic device that outputs a display signal so as to receive a selection instruction input for a weighted keyword and receives an input of a control instruction.

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