CN102811371B - The method, system and device that intelligent television application program is recommended - Google Patents
The method, system and device that intelligent television application program is recommended Download PDFInfo
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Abstract
The present invention is applicable to intelligent television field, the method, system and device that provide a kind of intelligent television application program to recommend, and method comprises the steps: search step, search is with the application program of label file; Polymerization procedure, is polymerized to the label file of the described application program with label file in same database; Analytical procedure, analyze time and the frequency of the tag entry in the label file that intelligent television user uses application program and corresponding application program, give the corresponding weighted value of each tag entry of described label file according to the time of the tag entry in the label file of described application program and frequency; Recommendation step, according to the weighted value of each tag entry, the described application program with label file is carried out to statistical computation, carry out height sequence according to the weighted value application programs of the tag entry of described label file, by sequence forward described application program recommend to user, according to user's feature targetedly to user's pushing application program.
Description
Technical field
The invention belongs to intelligent television field, relate in particular to a kind of method that intelligent television application program recommends,System and device.
Background technology
At present, along with extensively popularizing of intelligent television, increasing application program starts to log in intelligent televisionPlatform, compared with traditional tv, internet television, the meaning of intelligent television maximum is putting down by selfPlatform, in open mode, has introduced a large amount of third party applications, so just spends without TV producerThe very large strength of expense goes to develop various application programs, but gives full play to the third party developer on internetIntelligence and wisdom, third party application comprises various application services, as e-book, game, music,Means of communication etc., the importing of third party application, has facilitated user's range of choice, but intelligent televisionBe different from PC Deng consumer-elcetronics devices, on PC, people may be accustomed to by using searching of an openingIndex is held up, and removes to find the thing of oneself wanting, and the process of this search is in fact comparatively complicated, also very consuming time,This equipment characteristic of PC, determined that use search engine also can also be accepted by user, but consumer electronics is establishedStandby, as just different in intelligent television, what the use of consumer-elcetronics devices was pursued is simple and convenient, impossibleRequire the user to use a teleswitch before TV, making the upper search engine that uses of similar PC and finding application programWork. Along with the explosive growth of application program, user be more and more difficult to really find fast meet their needThe application program of wanting, in most cases, user also knows what oneself needs actually ambiguouslyApplication program. Under current technical conditions, user or own go window-shopping and purchase to picture in application program shopThing is such, and find one by one aimlessly, or directly use the recommendation ranking list application program of system, onStating two kinds of ways has a lot of problems, and the former looks for a needle in a haystack, and in present application program is all especiallyReached all the more so in the situation of the hundreds of thousands order of magnitude, the latter cannot accomplish exact matching, application journeyThe ranking list in order shop is a kind of very rough popular behavioral statistics, and popular behavior hobby, may not be justCan be consistent with consumer's personal like.
Summary of the invention
The object of the embodiment of the present invention be to provide a kind of method that intelligent television application program recommends, system andDevice, has solved intelligent television user in prior art and can not effectively and quickly and easily select own requiredIntelligent television application program.
The embodiment of the present invention is achieved in that a kind of method that intelligent television application program is recommended, and comprising:
Search step, search is with the application program of label file;
Polymerization procedure, is polymerized to same database by the label file of the described application program with label fileIn;
Analytical procedure, analysis intelligent television user uses the label file of application program and corresponding application programIn time and the frequency of tag entry, according to the time of the tag entry in the label file of described application program andFrequency is given the corresponding weighted value of each tag entry of described label file;
Recommendation step, according to the corresponding weighted value of described each tag entry to the described application journey with label fileOrder is carried out statistical computation, carries out height row according to the weighted value application programs of the tag entry of described label fileOrder, recommends the forward described application program of sequence to user.
Preferably, also comprise that the label file that is positioned at described search step application programs before creates stepSuddenly,, to described application program establishing label file, in described label file, comprise multiple tag entry.
Preferably, the establishment intelligent television user account number between described polymerization procedure and described analytical procedureStep, be each according to the usage behavior of each tag entry of each intelligent television user to described label fileIntelligent television create user account number, and store intelligent television user use intelligent television application program and described inThe service time of the tag entry of intelligent television application program and frequency.
Preferably, described analytical procedure specifically comprises:
Analyze the temporal information that single intelligent television user uses described application program;
Analyze the frequency information that single intelligent television user uses described application program;
Use described temporal information and the described frequency of described application program according to described single intelligent television userRate information, calculates the weight of described single intelligent television user in each tag entry of the described application program of useValue;
Weighted value according to described single intelligent television user in each tag entry of the described application program of use, combinesAdd up to total weighted value of the each tag entry that calculates described application program.
Preferably, described recommendation step specifically comprises:
Use total weight of each tag entry of described application program according to the described single intelligent television user of analysisValue, carries out the sequence of total weighted value height to the application program with label file searching;
According to the height sequence of described total weighted value, application program higher total weighted value is used to intelligent televisionRecommend at family.
The server unit that the present invention also provides a kind of intelligent television application program to recommend, described device comprises:
Search module, for searching for the application program with label file;
Polymerization module, for by the label file polymerization of the described application program with label file receivingTo same database;
Analysis module, uses described application program and corresponding described application journey for analyzing intelligent television userThe time of the tag entry in the label file of order and frequency, according to the mark in the label file of described application programThe time of label item and frequency are given the corresponding weighted value of each tag entry of described label file;
Recommending module, for according to the corresponding weighted value of described each tag entry to described with label file shouldCarry out statistical computation by program, carry out height according to the weighted value application programs of the tag entry of described label fileLow sequence, recommends the forward described application program of sequence to user.
The intelligent television device that the present invention also provides a kind of intelligent television application program to recommend, described intelligent televisionDevice comprises:
User behavior administration module, uses application program and label described application program for recording userThe time of the tag entry in file and frequency;
Application program receiver module, the intelligent television application program of recommending for reception server.
The present invention also provides a kind of intelligent television application program commending system, and described intelligent television application program pushes awayThe system of recommending comprises:
Intelligent television device, described intelligent television device comprises that user behavior administration module and application program receiveModule, wherein, described user behavior administration module uses application program and described application for recording userThe time of the tag entry in the label file of program and frequency; Described application program receiver module, for receivingThe intelligent television application program that server is recommended;
Server unit, described server unit comprises: search module, for what search for label fileApplication program; Polymerization module, for by the label literary composition of the described application program with label file receivingPart is polymerized in same database; Analysis module, uses described application program for analyzing intelligent television userWith time and the frequency of the tag entry in the label file of corresponding described application program, according to described application journeyThe time of the tag entry in the label file of order and frequency are given each tag entry of described label file and are weighed accordinglyHeavily value; Recommending module, for according to the corresponding weighted value of described each tag entry to described with label fileApplication program is carried out statistical computation, carries out according to the weighted value application programs of the tag entry of described label fileHeight sequence, recommends the forward described application program of sequence to user. .
Intelligent television application program commending system also comprises: application database, described application dataStorehouse is for storing the label file of application program and described application program.
Preferably, server unit also comprises establishment intelligent television user account number module, for the each intelligence of foundationThe usage behavior of the each tag entry of TV user to described label file is that each intelligent television creates user's accountNumber, and store intelligent television user and use the mark of intelligent television application program and described intelligent television application programSign service time and the frequency of item.
The method, system and device that the embodiment of the present invention is recommended by a kind of intelligent television application program, solveExisting intelligent TV set cannot as PC, search for intelligent television application so that user select to need shouldUse by program, next is to solve existing intelligent television can not be according to user's feature targetedlyThe problem that pushes the application program of user's needs to user, is used the preference of application program to user according to userExemplary application program, makes the application program of intelligent television more efficient and convenient and reasonably obtained by user.
Brief description of the drawings
Fig. 1 is the realization flow of the preferred embodiment of the method for intelligent television application program recommendation of the present inventionFigure;
Fig. 2 analyzes and recommends Intelligent electric in the preferred embodiment of the intelligent television of the present invention application method of recommendingDepending on the realization flow figure of application program;
Fig. 3 is the structure chart of the preferred embodiment of intelligent television application program commending system of the present invention;
Fig. 4 is the knot of server unit in intelligent television application program commending system of the present invention preferred embodimentStructure schematic diagram;
Fig. 5 is the intelligent television device in intelligent television application program commending system of the present invention preferred embodimentStructural representation.
Detailed description of the invention
In order to make technical problem solved by the invention, technical scheme and beneficial effect clearer, withUnder by reference to the accompanying drawings and embodiment, the present invention is further elaborated. Should be appreciated that described hereinSpecific embodiment only in order to explain the present invention, be not intended to limit the present invention.
A kind of method that the specific embodiment of the invention is recommended by intelligent television application program, the method comprisesFollowing step:
Search step, the server search being connected with intelligent television is with the application program of label file, with intelligenceThe server that energy TV connects is by the third-party electronic market on search network or e-platform gets on to obtainGet the label file of the application program of intelligent television, collect all intelligent television application in mode the most fastThe information of program, obtains the label of intelligent television application program.
Polymerization procedure, is polymerized to same database by the label file of the described application program with label fileIn, intelligent television gathers the application program of search by these application programs with label file and label fileBe bonded in same database and be kept on the server being connected with intelligent television, and can be to Intelligent electric on networkUpgrade fast depending on application program;
Analytical procedure, analysis intelligent television user uses the label file of application program and corresponding application programIn time and the frequency of tag entry, according to the time of the tag entry in the label file of described application program andFrequency is given the corresponding weighted value of each tag entry of described label file, and the server being connected with intelligent television connectsThe intelligent television user who receives the server connection being connected with intelligent television uses the time of intelligent television application programInformation, and according to the application program application programs using and the tag entry statistic of classification service time of label,The intelligent television user that the server being connected with intelligent television receives the server connection being connected with intelligent television makesBy the temporal information of intelligent television application program, owing to there being the information of intelligent television application program service time,Can obtain the corresponding temporal information of each tag entry according to the temporal information of intelligent television application program, withThe server that intelligent television connects can be added up taxonomically to each tag entry, according to connecting with intelligent televisionThe server connecing uses time and the corresponding label of application program of the application program of intelligent television according to userWith the weighted value of each tag entry of the time series analysis application program of tag entry, according to the label of described application programThe time of the tag entry in file and frequency are given the corresponding weighted value of each tag entry of described label file, rightThe application program of the intelligent television that the server being connected with intelligent television obtains sorts.
Recommendation step, according to the corresponding weighted value of described each tag entry to the described application journey with label fileOrder is carried out statistical computation, carries out height row according to the weighted value application programs of the tag entry of described label fileOrder, recommends the forward described application program of sequence to user. In the label file of described application programTime of tag entry and frequency give the corresponding weighted value of each tag entry of described label file, to intelligenceThe application program of the intelligent television that the server that TV connects obtains sorts, and weighs accordingly according to tag entryHeavily be worth the described application program with label file is carried out to statistical computation, according to the label of described label fileThe weighted value application programs of item is carried out height sequence, and the server being connected with intelligent television obtains according to statisticsService time of the every label of intelligent television application program can extrapolate each and the intelligent television on networkThe preference of the application program that the intelligent television user that the server connecting connects uses, described in forward sequenceApplication program is recommended to user, for user's choice for use.
The server unit that the specific embodiment of the invention also provides a kind of intelligent television application program to recommend, shouldDevice comprises:
Search module, for searching for the application program with label file, by search with label fileApplication program send to polymerization module;
Polymerization module, receives the application program with label file that search module sends, for by described bandThere are application program and the label file of label file to be polymerized in same database;
Analysis module, the data analysis intelligent television user use being aggregated in database according to polymerization module shouldBy time and the frequency of the tag entry in the label file of program and corresponding application program, according to described applicationIt is corresponding that the time of the tag entry in the label file of program and frequency are given each tag entry of described label fileWeighted value;
Recommending module, according to analysis module analyze the corresponding weighted value of tag entry to described with label fileApplication program carry out statistical computation, enter according to the weighted value application programs of the tag entry of described label fileThe sequence of row height, recommends the forward described application program of sequence to user.
The intelligent television device that the specific embodiment of the invention also provides a kind of intelligent television application program to recommend,This device comprises:
User behavior administration module, uses application program and label corresponding application programs for recording userTime and frequency with tag entry;
Application program receiver module, the intelligent television application program of recommending for reception server recommending module.
The specific embodiment of the invention also provides a kind of intelligent television application program commending system, this intelligent televisionApplication program commending system comprises:
Intelligent television device, described intelligent television device comprises that user behavior administration module and application program receiveModule, wherein, described user behavior administration module uses application program and described application for recording userThe time of the tag entry in the label file of program and frequency; Described application program receiver module, for receivingThe intelligent television application program that server is recommended;
Server unit, described server unit comprises: search module, for what search for label fileApplication program; Polymerization module, for by the label literary composition of the described application program with label file receivingPart is polymerized in same database; Analysis module, uses described application program for analyzing intelligent television userWith time and the frequency of the tag entry in the label file of corresponding described application program, according to described application journeyThe time of the tag entry in the label file of order and frequency are given each tag entry of described label file and are weighed accordinglyHeavily value; Recommending module, for according to the corresponding weighted value of described each tag entry to described with label fileApplication program is carried out statistical computation, carries out according to the weighted value application programs of the tag entry of described label fileHeight sequence, recommends the forward described application program of sequence to user.
The method, system and device that intelligent television application program of the present invention is recommended make the intelligent television can rootAccording to user's use habit, and analyze by the label of application information the application program that completing user needs,The application program needing according to user is obtained application program from network, analyzes the application program that user needsRecommend to meet the application program of individual subscriber use habit and needs to user, user is according to the application journey of recommendingOrder is selected, and realizes in this way efficient and provides to user the intelligence that meets user preference accuratelyCan television applications.
Below in conjunction with specific embodiment, specific implementation of the present invention is described in detail.
Embodiment mono-:
Referring to Fig. 1, Fig. 1 is the preferred embodiment of the intelligent television application program of the present invention method of recommendingRealization flow figure, details are as follows for the realization flow of the method:
Step S101, search step, the server search being connected with intelligent television is with the application of label fileProgram, the server being connected with intelligent television is by third-party electronic market or electronics on search networkPlatform gets on to obtain the label file of the application program of intelligent television, and the server being connected with intelligent television firstObtain the content introduction of intelligent television application program, according to the application program introduction of intelligent television application program,Application programs is carried out mark, and taking e-book as example, e-book brief introduction comprises author, style, task masterThe information exchange such as angle, pay imformation is crossed and is read the tag entry of these information using information as this e-book, by author,The information such as style, task leading role, pay imformation are carried out mark as the tag entry of this e-book, by withThe server that intelligent television connects removes to obtain the recommended information of intelligent television application program, should according to intelligent televisionWith the recommended information of program, intelligent television application program is carried out to label, thereby get intelligent television applicationThe label of program, collects the letter of all intelligent television application programs in mode the most fast in this wayCease, obtain the label of intelligent television application program.
Step S102, polymerization procedure, intelligent television server is by the mark of the intelligent television application program of collectingSign the information fusion of file in the database of server, intelligent television server is according to the intelligent television obtainingThe label of application program, by tag storage in the database of intelligent television server, according to no labelApplication programs is done different tag storage, comprises the content of preserving label, preserves the chain ground connection of application programLocation, application program introduce content etc., server is followed the tracks of related application simultaneously, when finding phaseClose when lastest imformation appears in application program the content of the information that has the variations such as renewal is upgraded in time, to protectThe promptness of application information on the server that is connected with intelligent television of card, and the information applied of guarantee andTime property and integrality.
Wherein, in the time obtaining the label file of application program of intelligent television, the first electronics city on networkThe application program of the intelligent television that field and the search of application issued platform are issued is obtained this application program simultaneouslyRespective labels content, taking e-book as example, according to the application program brief introduction of intelligent television application program, rightApplication program is carried out mark, and e-book brief introduction comprises the letters such as author, style, task leading role, pay imformationBreath, by reading these information, and tag entry using these information as this e-book is carried out mark, electronicsBook application program shop requires the upper basic label of e-book application programs mark, the basic label that label is containedComprise author, style, task leading role, pay imformation etc. are for example, popular like this for grave-robbery notesThe network novel, the label information that this e-book application program is submitted to just comprises as follows: classification, e-book; DoPerson, three uncles are sent in south; Style, grave-robbery novel; Leading role, Wu's heresy; Charge is free. Obtaining the mark of this application programSign the content of the tag entry of file. When having relevant updates in the tag entry of application program, intelligent television clothesThe business device very first time is obtained relevant information, and the information after upgrading is upgraded.
Step S103, analytical procedure, analyze intelligent television server user use intelligent television application program andTime and the frequency of the tag entry in the label file of corresponding application program, according to the mark of described application programThe time of the tag entry in label file and frequency are given the corresponding weighted value of each tag entry of described label file.
Step S104, recommendation step, according to the corresponding weighted value of tag entry to described with label file shouldCarry out statistical computation by program, carry out height according to the weighted value application programs of the tag entry of described label fileLow sequence, the intelligence that intelligent television server connects to the server being connected with intelligent television according to ranking resultsTV user is recommended the intelligent television application program of user preference.
Wherein, as shown in Figure 2, Fig. 2 is that intelligent television of the present invention should to the concrete methods of realizing of analytical procedureThe realization flow figure of the preferred embodiment of intelligent television application program is recommended in the analysis of the method for recommending by program.Analytical procedure specifically comprises:
Step S201, analyzes single intelligent television user and uses the temporal information of application program, due to Intelligent electricPreserve the label substance of intelligent television application program depending on server, answer when intelligent television will use intelligent televisionSend to intelligent television server by the temporal information of program, server can be according to intelligent television application journeyThe service time of order, the service time of each tag entry of acquisition intelligent television application program;
Step S202, analyzes single intelligent television user and uses the frequency information of application program, to unique userThe ordering of optimization preference that uses application program, the server being connected with intelligent television uses various application journeys according to userThe tabulate statistics tag entry time of order sorts, and for example certain user often browses e-book content, whereinIt is main in e-book content that what read is all an author's e-book, so in sorting thisE-book author's rank will come relatively forward;
Step S203, uses described temporal information and the described frequency of application program according to single intelligent television userRate information, calculates the weighted value of unique user in each tag entry of use application program, according to unique userUse the ordering of optimization preference of application program to sort to web application, the service being connected with intelligent televisionDevice uses the time preference of application program to sort to web application according to user, for one oftenRead the user of certain author's e-book, the server being connected with intelligent television is so first by application programBe positioned at classification, classification will be selected e-book classification so, then selects successively the tag entry under classification, usesFamily is owing to often reading certain author's works, and this author's priority level is just very high, and e-book is being arrangedWhen order, in the time having this author's e-book, will natch this author's e-book be come and be leaned onFront position, the server being connected with intelligent television can preferentially be recommended this author's e-book content;
Step S204, the weighted value according to unique user in each tag entry of use application program, COMPREHENSIVE CALCULATINGGo out total weighted value of each tag entry of application program,
Particularly, analyzing intelligent television server user uses the time of intelligent television application program with correspondingThe service time of the tag entry in the label file of application program, use the application of intelligent television according to userProgram statistics is used the time of application, the time using according to application program, respectively application programsThe label having and tag entry timing statistics, as application program comprises several tag entry, taking e-book as example,E-book comprises the tag entry such as author, style, task leading role, pay imformation, to author, style, peopleEach carries out separately timing statistics owner angle, pay imformation, and intelligent television server is according to application programThe intelligent television application of the time series analysis user institute preference of the corresponding label of time and application program and tag entryProgram, taking e-book as example, e-book comprises the tag entry such as author, style, task leading role, pay imformation,According to author, style, personage leading role, pay imformation, each carries out separately timing statistics, as found to useCertain fixing author e-book is comparatively often read at family, and server will be by according to the temporal information of readingThe temporal information that the intelligent television user that the server being connected with intelligent television of e-book connects uses, will be eachIndividual information labels item sorts, if at most certain author's of e-book tag entry timing statistics arrangesOne, the style of next ranked second, and weight proportion ranked second, according to the arrangement of tag entry to weighted valueSort, then carry out COMPREHENSIVE CALCULATING according to the temporal information of tag entry and weighted value, draw certain new applicationProgram, to the numerical value of user's recommendation, is carried out the related application of full database according to the numerical value application programs of recommendingThe sequence of program, draws the application program of user's most probable preference. Wherein gathering user uses intelligent television to answerBy the temporal information of program, according to the application program using and the tag entry statistic of classification service time of label thereof,Be each user to use the information of application program be separately to store, each user has the user data of oneselfStorehouse, user preserves the information of this user's use application program. Intelligent television server makes according to collecting userBy the information of the application program of intelligent television, according to user use intelligent television application program operation note andOperating habit, computational analysis user's preference and the application information needing; What need in analysis user shouldWith Program Type, according to the recorded information of user's operation local application, for example a user often readsRead the application program of novel classification, and in the application program of novel classification, the tag entry of more appearance is certain workPerson's novel, uses temporal information and the frequency information of application program so according to this user, to userWhen giving weighted value, relatively the application program of this novel classification will improve, and under novel classificationThis author's weight also can improve, take into account label information and the network user of application program on network simultaneouslyThe comprehensive value of recommending to user of feedback information comprehensive assessment application program, for example nearest user on networkUse more application program for another one novel, find according to user's statistics, often read and thisUser's great majority of the novel of the same classification of user have all been read this application program, and so correspondingly this shouldAlso can improve with the weighted value of program, according to these informixs, respective weights value be analyzed, with finallySelect the application program of the feature that is applicable to individual subscriber and recommend user, take into account simultaneously and analyze certain application journeyOrder is to have the information that this user uses the colony of preference to like, and intelligent television server according to relevant information isCapable of regulating is recommended the recommendation sequence of this application program to user, preferential by the label higher weight of user preferenceImprove weight and give this label of this user corresponding higher weighted value, finally select the best and meet userThe label of use habit, improves the weight of these labels so that the weighted value of each label meet user mostThe feature of use application program.
And for the concrete steps S201 of above-mentioned analytical procedure 103 to step S204, Intelligent electric of the present inventionThe idiographic flow of the recommendation step S104 of the method for recommending depending on application program is as follows, according to analyzing described single intelligenceCan TV user use total weighted value of each tag entry of described application program, to search with label literary compositionThe application program of part is carried out the sequence of total weighted value height; According to the height sequence of described total weighted value, will always weighThe application program that heavily value is higher is recommended to intelligent television user.
Particularly, the application program that intelligent television server uses the single intelligent television user who getsTime is analyzed, and according to total weighted value of each tag entry, calculates user to intelligent television application programPreference, in search database with the content of the application program of each independent tag entry, according to each application journeyOrder with the content application programs of tag entry carry out tag entry weight assignment, by every each application programThe weight of a label is calculated respectively, finally obtains the total label weighted value of this application program, according to totalThe weighted value application programs of application program is carried out weight sequence, by the weight of application program and meet user'sUse the preference of application program, intelligent television server is according to total weighted value, the program that is finally appliedSequence, select the application program that total ranking value is higher to recommend intelligent television user, intelligent television user according toRecommendation results checks whether need this application program, and user provides according to apps serverDownload link address, downloads to the application program oneself needing, if do not need this application program, intelligenceTelevision server is recommended the application program of next collating sequence again to user.
Embodiment bis-:
A kind of intelligent television application commending system that second embodiment of the invention provides, below in conjunction with accompanying drawing to thisInvention is further elaborated. As shown in Figure 3, Fig. 3 is that intelligent television application program of the present invention is recommendedThe structure chart of the preferred embodiment of system. Intelligent television application program commending system comprises: intelligent television device301, server unit 302 and application database 303.
Wherein, refer to Fig. 4 for these server unit 302 concrete structures, Fig. 4 is intelligence of the present inventionThe structural representation of server unit in the preferred embodiment of TV applications commending system. As shown in Figure 4, thisBright provided server unit specifically comprises:
The search module 401 of intelligent television server, it is by relevant issues such as the electronic markets on networkOn the platform of intelligent television application program, search for the application program of intelligent television, obtain this by this platform simultaneouslyThe content of the respective labels of application program;
The polymerization module 402 of intelligent television server, for by receive described with label file shouldBe polymerized in same database with the label file of program.
The analysis module 403 of intelligent television server, uses described application journey for analyzing intelligent television userThe time of the tag entry in the label file of order and corresponding described application program and frequency, according to described applicationIt is corresponding that the time of the tag entry in the label file of program and frequency are given each tag entry of described label fileWeighted value. Particularly, according to the time of application program and the corresponding label of application program and tag entry timeBetween the intelligent television application program of analysis user institute preference, taking e-book as example, e-book comprises author, windThe tag entry such as lattice, task leading role, pay imformation, according to author, style, personage leading role, pay imformationEach carries out separately timing statistics, and as found, user comparatively often reads certain fixing author e-book,Server will use intelligent television user e-book preferably out according to the temporal information of reading, by eachInformation labels item sorts, if at most certain author's of e-book tag entry timing statistics ranked first,Secondly, style ranked second, and weight proportion ranked second, and according to the arrangement of tag entry, weighted value is carried outSequence, the application program that the each application program of clicking of for example certain user all can be free, in application programsWhen sequence, be freely information will preferentially come sequence before position, according to tag entry timeBetween information and weighted value carry out COMPREHENSIVE CALCULATING, draw the numerical value that certain new application program is recommended to user, according toThe numerical value application programs of recommending is carried out the sequence of the related application of full database, draws user's most probableThe application program of preference.
Intelligent television server sends to recommending module 404, recommending module by the application program of user preference againFor the described application program with label file being added up according to the corresponding weighted value of described each tag entryCalculate, carry out height sequence according to the weighted value application programs of the tag entry of described label file, will sortForward described application program is recommended to user.
Wherein, refer to Fig. 5 for the structure of this intelligent television device 301, Fig. 5 is intelligence of the present inventionThe structural representation of the intelligent television device in the preferred embodiment of television applications commending system. As Fig. 5 instituteShow, intelligent television device of the present invention specifically comprises:
Intelligent television user behavior administration module 501, uses answering with described of application program for recording userBy time and the frequency of the tag entry in the label file of program. For example obtain user and use intelligent television applicationThe temporal information of program, user browses a certain application program at intelligent television open state, and this application program isWith e-book application program, read timing effective time of intelligent television e-book application program for user,The time of this application program of reading effective user is carried out to timing, and this clocking information is sent simultaneouslyGive polymerization module; Application program receiver module 502, user accepts the intelligent television application that recommending module sendsProgram, receives the intelligent television application program recommendation that intelligent television server sends.
In addition, application database 303 of the present invention, for storing application program and described application programLabel file. Application database is third-party application program download platform and application program market,Provide application program to download, intelligent television server unit search intelligent television application program is applied by searchProgram data base obtains.
One of ordinary skill in the art will appreciate that all or part of step realizing in above-described embodiment method isCan carry out the hardware that instruction is relevant by program and complete, described program can be stored in a computer-readableGet in storage medium, described storage medium, as ROM/RAM, disk, CD etc.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, not all at thisAny amendment of doing within bright spirit and principle, be equal to and replace and improvement etc., all should be included in the present inventionProtection domain within.
Claims (9)
1. the method that intelligent television application program is recommended, is characterized in that, described method comprises:
Search step, search is with the application program of label file;
Polymerization procedure, is polymerized to same database by the label file of the described application program with label fileIn;
Analytical procedure, analysis intelligent television user uses the label file of application program and corresponding application programIn time and the frequency of tag entry, according to the time of the tag entry in the label file of described application program andFrequency is given the corresponding weighted value of each tag entry of described label file;
Recommendation step, according to the corresponding weighted value of described each tag entry to the described application journey with label fileOrder is carried out statistical computation, draws total weighted value of each tag entry of described application program, according to described application journeyTotal weighted value application programs of each tag entry of order is carried out height sequence, by described application journey forward sequenceOrder is recommended to user.
2. the method for claim 1, is characterized in that, described method also comprises described in being positioned at searchesThe label file foundation step of the application programs before rope step, to described application program establishing label literary compositionPart, comprises multiple tag entry in described label file.
3. the method for claim 1, is characterized in that, described method is also included in described polymerizationThe step of the establishment intelligent television user account number between step and described analytical procedure, according to each intelligent televisionThe usage behavior of the each tag entry of user to described label file is that each intelligent television creates user account number,And store intelligent television user and use the label of intelligent television application program and described intelligent television application programService time and the frequency of item.
4. method as claimed any one in claims 1 to 3, is characterized in that described analytical procedureSpecifically comprise:
Analyze the temporal information that single intelligent television user uses described application program;
Analyze the frequency information that single intelligent television user uses described application program;
Use described temporal information and the described frequency of described application program according to described single intelligent television userRate information, calculates the weight of described single intelligent television user in each tag entry of the described application program of useValue;
Weighted value according to described single intelligent television user in each tag entry of the described application program of use, combinesAdd up to total weighted value of the each tag entry that calculates described application program.
5. method as claimed in claim 4, is characterized in that, described recommendation step specifically comprises:
Use total weight of each tag entry of described application program according to the described single intelligent television user of analysisValue, carries out the sequence of total weighted value height to the application program with label file searching;
According to the height sequence of described total weighted value, application program higher total weighted value is used to intelligent televisionRecommend at family.
6. the server unit that intelligent television application program is recommended, is characterized in that described device bagDraw together:
Search module, for searching for the application program with label file;
Polymerization module, for by the label file polymerization of the described application program with label file receivingTo same database;
Analysis module, uses described application program and corresponding described application journey for analyzing intelligent television userThe time of the tag entry in the label file of order and frequency, according to the mark in the label file of described application programThe time of label item and frequency are given the corresponding weighted value of each tag entry of described label file;
Recommending module, for according to the corresponding weighted value of described each tag entry to described with label file shouldCarry out statistical computation by program, draw total weighted value of each tag entry of described application program, answer according to describedCarry out height sequence by total weighted value application programs of each tag entry of program, by forward sequence described shouldRecommend to user by program.
7. an intelligent television application program commending system, is characterized in that, described intelligent television application journeyOrder commending system comprises:
Intelligent television device, described intelligent television device comprises that user behavior administration module and application program receiveModule, wherein, described user behavior administration module uses application program and described application for recording userThe time of the tag entry in the label file of program and frequency; Described application program receiver module, for receivingThe intelligent television application program that server is recommended;
Server unit, described server unit comprises: search module, for what search for label fileApplication program; Polymerization module, for by the label literary composition of the described application program with label file receivingPart is polymerized in same database; Analysis module, uses described application program for analyzing intelligent television userWith time and the frequency of the tag entry in the label file of corresponding described application program, according to described application journeyThe time of the tag entry in the label file of order and frequency are given each tag entry of described label file and are weighed accordinglyHeavily value; Recommending module, for according to the corresponding weighted value of described each tag entry to described with label fileApplication program is carried out statistical computation, draws total weighted value of each tag entry of described application program, according to describedTotal weighted value application programs of each tag entry of application program is carried out height sequence, described in forward sequenceApplication program is recommended to user.
8. intelligent television application program commending system as claimed in claim 7, is characterized in that described intelligenceCan also comprise by television applications commending system: application database, described application database is used forThe label file of storage application program and described application program.
9. intelligent television application program commending system as described in claim 7 or 8, is characterized in that instituteState server unit and also comprise establishment intelligent television user account number module, for the each intelligent television user couple of foundationThe usage behavior of each tag entry of described label file is that each intelligent television creates user account number, and stores intelligenceWhen energy TV user uses the use of tag entry of intelligent television application program and described intelligent television application programBetween and frequency.
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Families Citing this family (22)
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|---|---|---|---|---|
| CN103024471B (en) * | 2012-12-07 | 2018-07-06 | 康佳集团股份有限公司 | A kind of rapid recommendation method for intelligent cloud television |
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| CN103279384A (en) * | 2013-05-31 | 2013-09-04 | 林吓洪 | Method and device for reporting and sharing application programs for user |
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| CN104899220B (en) * | 2014-03-06 | 2021-06-25 | 腾讯科技（深圳）有限公司 | Application program recommendation method and system |
| WO2016082134A1 (en) * | 2014-11-26 | 2016-06-02 | 刘一佳 | Method for recommending movie and television resources and device for recommending movie and television resources |
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| CN107704470B (en) * | 2016-08-09 | 2021-07-16 | 腾讯科技（深圳）有限公司 | Media file processing method and server |
| CN107888980B (en) * | 2017-09-25 | 2020-06-05 | 青岛聚看云科技有限公司 | Method for generating electronic program guide on intelligent terminal and intelligent terminal |
| CN109842812B (en) * | 2017-11-27 | 2023-11-14 | 深圳市雷鸟网络传媒有限公司 | Multi-application program prioritization method, intelligent television and storage medium |
| CN108470041B (en) * | 2018-02-12 | 2021-01-08 | 维沃移动通信有限公司 | Information searching method and mobile terminal |
| CN109474702B (en) * | 2018-12-24 | 2021-11-09 | 深圳维创乐科技有限公司 | Information recommendation method and device, computer equipment and product |
| CN112118492A (en) * | 2020-09-14 | 2020-12-22 | 深圳创维－Rgb电子有限公司 | Processing method and device for switching television image and sound modes through software |
| CN113419998B (en) * | 2021-08-25 | 2022-02-25 | 成都统信软件技术有限公司 | Folder processing method, computing device and readable storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技（深圳）有限公司 | Recommendation list generation method, device, media server, client and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5481289B2 (en) * | 2010-06-30 | 2014-04-23 | 株式会社Ｎｔｔドコモ | Server and method for recommending applications to users |
-
2012
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102236669A (en) * | 2010-04-30 | 2011-11-09 | 腾讯科技（深圳）有限公司 | Recommendation list generation method, device, media server, client and method |
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