CN102811371A - Method, system and device for recommending intelligent television application program - Google Patents
Method, system and device for recommending intelligent television application program Download PDFInfo
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- CN102811371A CN102811371A CN2012102379155A CN201210237915A CN102811371A CN 102811371 A CN102811371 A CN 102811371A CN 2012102379155 A CN2012102379155 A CN 2012102379155A CN 201210237915 A CN201210237915 A CN 201210237915A CN 102811371 A CN102811371 A CN 102811371A
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- 230000000379 polymerizing effect Effects 0.000 abstract 2
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Abstract
The invention is applicable for the field of intelligent televisions, and provides a method, a system and a device for recommending an intelligent television application program. The method comprises the following steps of a searching step: searching application programs with tag files; a polymerizing step: polymerizing the tag files of the application programs with the tag files into the same database; an analyzing step: analyzing the time and the frequency of tag items in the tag files of the using application programs and the corresponding application programs of an intelligent television user, and enduing each tag item of the tag files with corresponding weight value according to the time and the frequency of the tag items in the tag files of the application programs; and a recommending step: performing statistical calculation on the application programs with the tag files according to the weight value of each tag item, ordering the application programs from low to high according to the weight values of the tag items of the tag file, recommending the application program with top order to the user, and pushing the application program to the user in a targeted way according to the characteristics of the user.
Description
Technical field
The invention belongs to the intelligent television field, relate in particular to the method, system and device that a kind of intelligent television application program is recommended.
Background technology
At present, along with extensively popularizing of intelligent television, increasing application program begins to land the intelligent television platform; Compare with traditional tv, internet television, the maximum meaning of intelligent television is the hardware and software platform through self, with open mode; Introduced a large amount of third party applications, gone to develop various application programs with regard to need not the strength that TV producer costs a lot of money like this, but give full play to the third party developer's on the Internet intelligence and wisdom; Third party application comprises various application services, like e-book, recreation, music, means of communication etc., the importing of third party application; Made things convenient for user's range of choice, yet consumer-elcetronics devicess such as intelligent television are different from PC, on PC; People possibly be accustomed to removing to seek the thing of oneself wanting through using the search engine of an opening, and the process of this search is comparatively complicated in fact; Also very consuming time, this equipment characteristic of PC has determined the use search engine also can also be accepted by the user; But consumer-elcetronics devices is just different like intelligent television, and what the use of consumer-elcetronics devices was pursued is simple and convenient; Can not require the user before TV, to use a teleswitch, be similar PC and going up the work of using search engine searching application program.Along with the explosive growth of application program, the user more and more is difficult to really find the application program that meets their needs fast, and in most cases, the user also knows ambiguously which type of application program oneself needs actually.Under present technical conditions, the user or own in the application program shop as shopping of going window-shopping, searching one by one aimlessly; The perhaps direct recommendation ranking list application program of using system; Above-mentioned two kinds of ways all have a lot of problems, and the former looks for a needle in a haystack, and all are to have reached all the more so under the situation of the hundreds of thousands order of magnitude in present application program especially; The latter can't accomplish accurate coupling; The ranking list in application program shop is a kind of very rough popular behavioral statistics, and popular behavior hobby may not just can be consistent with consumer's personal like.
Summary of the invention
The method, system and device that the purpose of the embodiment of the invention is to provide a kind of intelligent television application program to recommend, solved in the prior art intelligent television user can not be effectively with select oneself needed intelligent television application program quickly and easily.
The embodiment of the invention is achieved in that the method that a kind of intelligent television application program is recommended, and comprising:
Search step, search has the application program of label file;
Polymerization procedure is polymerized to the said label file that has the application program of label file in the same database;
Analytical procedure; Analyze time and frequency that the intelligent television user uses the interior tag entry of the label file of application program and corresponding application, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program;
Recommendation step; According to said each tag entry corresponding weighted value the said application program that has label file is carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
Preferably, also comprise the label file foundation step that is positioned at said search step application programs before, said application program is created label file, comprise a plurality of tag entry in the said label file.
Preferably; The step of the establishment intelligent television user account number between said polymerization procedure and said analytical procedure; According to each intelligent television user the usage behavior of each tag entry of said label file is created user account number for each intelligent television, and storage intelligent television user uses the service time and the frequency of the tag entry of intelligent television application program and said intelligent television application program.
Preferably, said analytical procedure specifically comprises:
Analyze the temporal information that single intelligent television user uses said application program;
Analyze the frequency information that single intelligent television user uses said application program;
Use the said temporal information and the said frequency information of said application program according to said single intelligent television user, calculate the weighted value of said single intelligent television user in each tag entry of using said application program;
According to the weighted value of said single intelligent television user in each tag entry of using said application program, COMPREHENSIVE CALCULATING goes out total weighted value of each tag entry of said application program.
Preferably, said recommendation step specifically comprises:
According to analyzing total weighted value that said single intelligent television user uses each tag entry of said application program, the application program that has label file that searches is carried out total weighted value just sort;
According to the height ordering of said total weighted value, the application program that total weighted value is higher is recommended to the intelligent television user.
The server unit that the present invention also provides a kind of intelligent television application program to recommend, said device comprises:
Search module is used to search for the application program that has label file;
The polymerization module is used for the said label file that has the application program of label file that receives is polymerized to same database;
Analysis module; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program;
Recommending module; Be used for the said application program that has label file being carried out statistical computation according to said each tag entry corresponding weighted value; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
The intelligent television device that the present invention also provides a kind of intelligent television application program to recommend, said intelligent television device comprises:
The user behavior administration module is used for time and frequency that recording user uses the tag entry in application program and the label file said application program;
The application program receiver module is used for the intelligent television application program that reception server is recommended.
The present invention also provides a kind of intelligent television application program commending system, and said intelligent television application program commending system comprises:
The intelligent television device; Said intelligent television device comprises user behavior administration module and application program receiver module; Wherein, said user behavior administration module is used for time and the frequency that recording user uses the tag entry in application program and the label file said application program; Said application program receiver module is used for the intelligent television application program that reception server is recommended;
Server unit, said server unit comprises: search module is used to search for the application program that has label file; The polymerization module is used for the said label file that has the application program of label file that receives is polymerized to same database; Analysis module; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program; Recommending module; Be used for the said application program that has label file being carried out statistical computation according to said each tag entry corresponding weighted value; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.。
Intelligent television application program commending system also comprises: application database, said application database is used for the label file of application storing and said application program.
Preferably; Server unit also comprises creates intelligent television user account number module; Be used for the usage behavior of each tag entry of said label file being created user account number for each intelligent television, and storage intelligent television user uses the service time and the frequency of the tag entry of intelligent television application program and said intelligent television application program according to each intelligent television user.
The method, system and device that the embodiment of the invention is recommended through a kind of intelligent television application program; Solved existing intelligent TV set and can't search for the intelligent television application as PC; So that the application program that the user need to select is used; Next is to solve existing intelligent television can not push the application program of user's needs targetedly according to problem from user's characteristics to the user; The preference of using application program according to the user is to user's exemplary application program, makes that the application program of intelligent television is more efficient and convenient and reasonably obtained by the user.
Description of drawings
Fig. 1 is the realization flow figure of the preferred embodiment of the intelligent television application program of the present invention method of recommending;
Fig. 2 is that intelligent television of the present invention is used in the preferred embodiment of the method for recommending and analyzed the realization flow figure that recommends the intelligent television 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 structural representation of server unit in the intelligent television application program commending system of the present invention preferred embodiment;
Fig. 5 is the structural representation of the intelligent television device in the intelligent television application program commending system of the present invention preferred embodiment.
Embodiment
Clearer for technical problem, technical scheme and beneficial effect that the present invention is solved, below in conjunction with accompanying drawing and embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
The method that the specific embodiment of the invention is recommended through a kind of intelligent television application program, this method comprises the steps:
Search step; The server search that is connected with intelligent television has the application program of label file; The server that is connected with intelligent television gets on to obtain the label file of the application program of intelligent television through third-party electronic market on the search network or e-platform; Collect the information of all intelligent television application programs with mode the most fast, obtain the label of intelligent television application program.
Polymerization procedure; The said label file that has the application program of label file is polymerized in the same database; Intelligent television with the application program of search with these application programs that have a label file and label file be polymerized to be kept in the same database with server that intelligent television is connected on, and can upgrade fast intelligent television application program on the network;
Analytical procedure; Analysis intelligent television user uses the time and the frequency of the interior tag entry of the label file of application program and corresponding application; Each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program; The intelligent television user that the server that the server reception that is connected with intelligent television is connected with intelligent television connects uses the temporal information of intelligent television application program; And according to the application program application programs of using and the tag entry statistic of classification service time of label; The intelligent television user that the server that the server reception that is connected with intelligent television is connected with intelligent television connects uses the temporal information of intelligent television application program; Because the information of intelligent television application program service time has been arranged; Temporal information according to the intelligent television application program can obtain the pairing temporal information of each tag entry; The server that is connected with intelligent television can be added up each tag entry taxonomically; Use the weighted value of each tag entry of time series analysis application program of time and pairing label of application program and tag entry of the application program of intelligent television according to the user according to the server that is connected with intelligent television, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program, the application program of the intelligent television that the server that is connected with intelligent television is obtained sorts.
Recommendation step; According to said each tag entry corresponding weighted value the said application program that has label file is carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.Each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program; The application program of the intelligent television that the server that is connected with intelligent television is obtained sorts; According to the tag entry corresponding weighted value the said application program that has label file is carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file; Can extrapolate the preference of the application program that intelligent television user that each server that is connected with intelligent television on the network connects uses the service time of intelligent television application program each item label that the server that is connected with intelligent television obtains according to statistics; The forward said application program of ordering is recommended to the user, supply the user to select to use.
The server unit that the specific embodiment of the invention also provides a kind of intelligent television application program to recommend, this device comprises:
Search module is used to search for the application program that has label file, and the application program that has label file that searches is sent to the polymerization module;
The polymerization module receives the application program that has label file that search module sends, and is used for said application program and the label file that has label file is polymerized to same database;
Analysis module; Be aggregated to time and the frequency that data analysis intelligent television user in the database uses the tag entry in the label file of application program and corresponding application according to the polymerization module, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program;
Recommending module; Tag entry corresponding weighted value according to the analysis module analysis is carried out statistical computation to the said application program that has label file; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the 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:
The user behavior administration module is used for recording user and uses time and frequency application program and label corresponding application programs and tag entry;
The application program receiver module is used for the intelligent television application program that the reception server recommending module is recommended.
The specific embodiment of the invention also provides a kind of intelligent television application program commending system, and this intelligent television application program commending system comprises:
The intelligent television device; Said intelligent television device comprises user behavior administration module and application program receiver module; Wherein, said user behavior administration module is used for time and the frequency that recording user uses the tag entry in application program and the label file said application program; Said application program receiver module is used for the intelligent television application program that reception server is recommended;
Server unit, said server unit comprises: search module is used to search for the application program that has label file; The polymerization module is used for the said label file that has the application program of label file that receives is polymerized to same database; Analysis module; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program; Recommending module; Be used for the said application program that has label file being carried out statistical computation according to said each tag entry corresponding weighted value; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
The method, system and device that intelligent television application program of the present invention is recommended make that intelligent television can be according to user's use habit; And accomplish the application program that the user needs by the label analysis of application information; Application program according to user's needs is obtained application program from network; The application program that analyzing the user needs recommends to meet the application program of individual subscriber use habit and needs to the user; The user selects according to the application program of recommending, realize in this way efficient with to the user intelligent television that meets user preference application program is provided accurately.
Below in conjunction with specific embodiment concrete realization of the present invention is described in detail.
Embodiment one:
Referring to Fig. 1, Fig. 1 is the realization flow figure of the preferred embodiment of the intelligent television application program of the present invention method of recommending, and details are as follows for the realization flow of this method:
Step S101; Search step, the server search that is connected with intelligent television has the application program of label file, and the server that is connected with intelligent television gets on to obtain the label file of the application program of intelligent television through third-party electronic market on the search network or e-platform; The server that is connected with intelligent television at first obtains 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, is example with the e-book; Comprise in the e-book brief introduction that information such as author, style, task leading role, pay imformation are through reading these information with the tag entry of information as this e-book; Information such as author, style, task leading role, pay imformation are carried out mark as the tag entry of this e-book, remove to obtain the recommended information of intelligent television application program through the server that is connected with intelligent television, according to the recommended information of intelligent television application program; The intelligent television application program is carried out label; Thereby get access to the label of intelligent television application program, collect the information of all intelligent television application programs in this way with mode the most fast, obtain the label of intelligent television application program.
Step S102, polymerization procedure, intelligent television server with the information fusion of the label file of the intelligent television application program of collecting in the data in server storehouse; The intelligent television server is according to the label of the intelligent television application program that obtains; Tag storage in intelligent television data in server storehouse, is done different tag storage according to no label application programs, comprise the content of preserving label; Preserve the chained address of application program; Application program introduce content etc., server is followed the tracks of related application simultaneously, the content to information that changes such as renewal are arranged when finding that lastest imformation appears in related application upgrades in time; With guarantee with server that intelligent television is connected on the promptness of application information, and the promptness and the integrality of the information of assurance application.
Wherein, when the label file of the application program of obtaining intelligent television, the application program of the intelligent television of electronic market on network and application issued platform search issues at first; Obtaining the respective labels content of this application program simultaneously, is example with the e-book, according to the application program brief introduction of intelligent television application program; Application programs is carried out mark, comprises information such as author, style, task leading role, pay imformation in the e-book brief introduction, through reading these information; And these information are carried out mark as the tag entry of this e-book, and e-book application program shop requires e-book application programs sign to go up basic label, and the contained basic tag entry of label comprises the author; Style, task leading role, pay imformation etc.; For example; For the popular like this network novel of grave-robbery notes, the label information that this e-book application program is submitted to just comprises as follows: classification, e-book; The author, three uncles are sent in south; Style, the grave-robbery novel; The leading role, Wu is evil; Charge is free.Content in the tag entry of the label file that obtains this application program.In the tag entry of application program, have relevant the renewal, the intelligent television server very first time is obtained relevant information, and the information after upgrading is upgraded.
Step S103; Analytical procedure; Analyze time and frequency that the intelligent television server user uses the interior tag entry of the label file of intelligent television application program and corresponding application, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program.
Step S104; Recommendation step; According to the tag entry corresponding weighted value the said application program that has label file is carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the intelligent television application program that the intelligent television server is recommended user preference according to ranking results to the intelligent television user of the server connection that is connected with intelligent television.
Wherein, the concrete implementation method of analytical procedure is as shown in Figure 2, and Fig. 2 is the realization flow figure that the preferred embodiment of intelligent television application program is recommended in the analysis of the method for intelligent television application program recommendation of the present invention.Analytical procedure specifically comprises:
Step S201; Analyze the temporal information that single intelligent television user uses application program; Because the intelligent television server for saving has the label substance of intelligent television application program; Send to the intelligent television server when intelligent television will use the temporal information of intelligent television application program, server promptly can obtain the service time of each tag entry of intelligent television application program according to the service time of intelligent television application program;
Step S202; Analyze the frequency information that single intelligent television user uses application program; Unique user is used the ordering of optimization preference of application program; The server that is connected with intelligent television uses the tabulate statistics tag entry time of various application programs to sort according to the user; For example certain user often browses the e-book content, and what wherein mainly read in the e-book content all is an author's e-book, and this e-book author's rank will come forward relatively when sorting so;
Step S203; Use the said temporal information and the said frequency information of application program according to single intelligent television user; Calculate the weighted value of unique user in each tag entry of using application program, use the ordering of optimization preference of application program that web application is sorted according to unique user, the server that promptly is connected with intelligent television uses the time preference of application program that web application is sorted according to the user; For a user who often reads certain author's e-book; The server that is connected with intelligent television so at first is positioned at classification with application program, and classification will be selected the e-book classification so, selects the tag entry under the classification more successively; The user is owing to often read certain author's works; The priority level that is this author is just very high, will be natch in the time of this author's e-book in to the e-book ordering this author's e-book be come forward position, the e-book content that the server that promptly is connected with intelligent television can preferential this author of recommendation;
Step S204, according to the weighted value of unique user in each tag entry of using application program, COMPREHENSIVE CALCULATING goes out total weighted value of each tag entry of application program,
Particularly; Analyze the service time of the tag entry in the label file of time and corresponding application that the intelligent television server user uses the intelligent television application program, the time of promptly using the application program statistics of intelligent television to use application according to the user is according to the time of application program use; Label that application programs had respectively and tag entry timing statistics; Comprising several tag entry like application program, is example with the e-book, and e-book comprises tag entry such as author, style, task leading role, pay imformation; Promptly each carries out timing statistics separately to author, style, personage leading role, pay imformation; The intelligent television server is example according to the intelligent television application program of the time series analysis user institute preference of time of application program and pairing label of application program and tag entry with the e-book, and e-book comprises tag entry such as author, style, task leading role, pay imformation; According to each carries out timing statistics separately to author, style, personage leading role, pay imformation; As find that the user comparatively often reads certain fixing author e-book, the temporal information that the intelligent television user that server will connect the server that is connected with intelligent television of e-book according to the temporal information of reading uses sorts each information labels item; If the tag entry timing statistics that is certain author of e-book at most promptly ranked first; The style of next ranked second, and the weight proportion promptly ranked second, and according to the arrangement of tag entry weighted value is sorted; Temporal information and weighted value according to tag entry carries out COMPREHENSIVE CALCULATING again; Draw the numerical value that certain new application program is recommended to the user, carry out the ordering of the related application of full database, draw the application program of user's most probable preference according to the numerical value application programs of recommending.Wherein gather the user and use the temporal information of intelligent television application program; According to the application program of using and the tag entry statistic of classification service time of label thereof; Be that to use the information of application program be separately to store to each user; Each user has the customer data base of oneself, and the user preserves the information of this user's use application program.The intelligent television server uses the information of the application program of intelligent television according to collecting the user, uses the operation note and the operating habit of intelligent television application program, computational analysis user's preference and the application information that needs according to the user; Application Type at the analysis user needs; Recorded information according to user's operation local application; For example user often reads the application program of novel classification, and the tag entry of more appearance is certain author's a novel in the application program of novel classification, uses the temporal information and the frequency information of application program so according to this user; When giving weighted value to the user; Relatively the application program of this novel classification will improve, and this author's under the novel classification weight also can improve, and takes into account label information and the network user's of application program on the network the comprehensive value of recommending to the user of feedback information comprehensive assessment application program simultaneously; The user uses more application program to be the another one novel on the for example nearest network; Statistics according to the user finds that often user's great majority of the novel of reading and the same classification of this user have all been read this application program, and so correspondingly the weighted value of this application program also can improve; According to these informixs the respective weights value is analyzed; Application program finally to select the characteristics that are fit to individual subscriber is recommended the user, and taking into account simultaneously and analyzing certain application program is to have the information that this user uses the colony of preference to like, and the intelligent television server can be adjusted recommendation ordering from this application program to the user that recommend according to relevant information; Preferential that the weight of user preference is higher label improves weight and gives this label of this user corresponding higher weighted value; Finally select the label of optimal fit user use habit, the weight of these labels improved so that the weighted value of each label meet the characteristics of user's use application program most.
And to the concrete steps S201 of above-mentioned analytical procedure 103 to step S204; The idiographic flow of the recommendation step S104 of the method that intelligent television application program of the present invention is recommended is following; According to analyzing total weighted value that said single intelligent television user uses each tag entry of said application program, the application program that has label file that searches is carried out total weighted value just sort; According to the height ordering of said total weighted value, the application program that total weighted value is higher is recommended to the intelligent television user.
Particularly; The intelligent television server was analyzed the time of the application program that the single intelligent television user who gets access to uses, and according to total weighted value of each tag entry, calculated the preference of user to the intelligent television application program; The content that has the application program of each independent tag entry in the search database; The content application programs of the tag entry that has according to each application program is carried out the tag entry weight assignment, and the weight of each each label of application program is calculated respectively, finally obtains the total label weighted value of this application program; Carry out the weight ordering according to the weighted value application programs of total application program; With the weight of application program and the preference that meets user's use application program, the intelligent television server is according to total weighted value, the ordering of the program that finally is applied; Select the higher application program of total ranking value to recommend the intelligent television user; Whether the intelligent television user checks this application program of needs according to recommendation results, and needing then, the user downloads to the application program of own needs according to the download link address that apps server provides; If do not need this application program, the intelligent television server is recommended the application program of next collating sequence again to the user.
Embodiment two:
A kind of intelligent television that second embodiment of the invention provides is used commending system, below in conjunction with accompanying drawing the present invention is further elaborated.As shown in Figure 3, Fig. 3 is the structure chart of the preferred embodiment of intelligent television application program commending system of the present invention.Intelligent television application program commending system comprises: intelligent television device 301, server unit 302 and application database 303.
Wherein, see also Fig. 4 for these server unit 302 concrete structures, Fig. 4 is the structural representation that intelligent television of the present invention is used server unit in the commending system preferred embodiment.As shown in Figure 4, server unit provided by the present invention specifically comprises:
The search module 401 of intelligent television server, it obtains the content of the respective labels of this application program simultaneously through the application program of search intelligent television on the platform of the relevant issue intelligent television application programs such as electronic market on the network through this platform;
The polymerization module 402 of intelligent television server is used for the said label file that has the application program of label file that receives is polymerized to same database.
The analysis module 403 of intelligent television server; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program.Particularly, according to the intelligent television application program of the time series analysis user institute preference of time of application program and pairing label of application program and tag entry, be example with the e-book; E-book comprises tag entry such as author, style, task leading role, pay imformation; According to each carries out timing statistics separately to author, style, personage leading role, pay imformation, comparatively often reads certain fixing author e-book as finding the user, server will use e-book preferably to come out the intelligent television user according to the temporal information of reading; Each information labels item is sorted; If the tag entry timing statistics that is certain author of e-book at most promptly ranked first, secondly, style ranked second; The weight proportion promptly ranked second; Arrangement according to tag entry is sorted to weighted value, and the application program that for example the each application program of clicking of certain user all can be free freely is the more preceding position that information will preferentially come ordering when application programs sorts; Temporal information and weighted value according to tag entry carry out COMPREHENSIVE CALCULATING; Draw the numerical value that certain new application program is recommended to the user, carry out the ordering of the related application of full database, draw the application program of user's most probable preference according to the numerical value application programs of recommending.
The intelligent television server sends to recommending module 404 with the application program of user preference again; Recommending module is used for according to said each tag entry corresponding weighted value the said application program that has label file being carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
Wherein, see also Fig. 5 for the structure of this intelligent television device 301, Fig. 5 is the structural representation of the intelligent television device in the intelligent television application program commending system of the present invention preferred embodiment.As shown in Figure 5, intelligent television device of the present invention specifically comprises:
Intelligent television user behavior administration module 501 is used for time and frequency that recording user uses the tag entry in application program and the label file said application program.For example obtain the temporal information that the user uses the intelligent television application program; The user browses a certain application program at the intelligent television open state; This application program is with the e-book application program; Read timing effective time of intelligent television e-book application program to the user, the time of this application program of reading that the user is effective is carried out timing, and this clocking information is sent to the polymerization module simultaneously; Application program receiver module 502, the user accepts the intelligent television application program that recommending module is sent, and receives the intelligent television application program recommendation that the intelligent television server sends.
In addition, application database 303 of the present invention is used for the label file of application storing and said application program.Application database is third-party application program download platform and application program market, provides application program to download, and intelligent television server unit search intelligent television application program obtains through the search for application database.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method is to instruct relevant hardware to accomplish through program; Described program can be stored in the computer read/write memory medium; Described storage medium is like ROM/RAM, disk, CD etc.
The above is merely preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of within spirit of the present invention and principle, being done, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the intelligent television application program method of recommending is characterized in that said method comprises:
Search step, search has the application program of label file;
Polymerization procedure is polymerized to the said label file that has the application program of label file in the same database;
Analytical procedure; Analyze time and frequency that the intelligent television user uses the interior tag entry of the label file of application program and corresponding application, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program;
Recommendation step; According to said each tag entry corresponding weighted value the said application program that has label file is carried out statistical computation; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
2. the method for claim 1 is characterized in that, said method also comprises the label file foundation step that is positioned at said search step application programs before, and said application program is created label file, comprises a plurality of tag entry in the said label file.
3. the method for claim 1; It is characterized in that; Said method also is included in the step of the establishment intelligent television user account number between said polymerization procedure and the said analytical procedure; According to each intelligent television user the usage behavior of each tag entry of said label file is created user account number for each intelligent television, and storage intelligent television user uses the service time and the frequency of the tag entry of intelligent television application program and said intelligent television application program.
4. like each described method in the claim 1 to 3, it is characterized in that said analytical procedure specifically comprises:
Analyze the temporal information that single intelligent television user uses said application program;
Analyze the frequency information that single intelligent television user uses said application program;
Use the said temporal information and the said frequency information of said application program according to said single intelligent television user, calculate the weighted value of said single intelligent television user in each tag entry of using said application program;
According to the weighted value of said single intelligent television user in each tag entry of using said application program, COMPREHENSIVE CALCULATING goes out total weighted value of each tag entry of said application program.
5. method as claimed in claim 4 is characterized in that, said recommendation step specifically comprises:
According to analyzing total weighted value that said single intelligent television user uses each tag entry of said application program, the application program that has label file that searches is carried out total weighted value just sort;
According to the height ordering of said total weighted value, the application program that total weighted value is higher is recommended to the intelligent television user.
6. the server unit recommended of an intelligent television application program is characterized in that said device comprises:
Search module is used to search for the application program that has label file;
The polymerization module is used for the said label file that has the application program of label file that receives is polymerized to same database;
Analysis module; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program;
Recommending module; Be used for the said application program that has label file being carried out statistical computation according to said each tag entry corresponding weighted value; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
7. the intelligent television device recommended of an intelligent television application program is characterized in that said device comprises:
The user behavior administration module is used for time and frequency that recording user uses the tag entry in application program and the label file said application program;
The application program receiver module is used for the intelligent television application program that reception server is recommended.
8. an intelligent television application program commending system is characterized in that, said intelligent television application program commending system comprises:
The intelligent television device; Said intelligent television device comprises user behavior administration module and application program receiver module; Wherein, said user behavior administration module is used for time and the frequency that recording user uses the tag entry in application program and the label file said application program; Said application program receiver module is used for the intelligent television application program that reception server is recommended;
Server unit, said server unit comprises: search module is used to search for the application program that has label file; The polymerization module is used for the said label file that has the application program of label file that receives is polymerized to same database; Analysis module; Be used to analyze the time and the frequency of the tag entry in the label file that the intelligent television user uses said application program and corresponding said application program, each tag entry corresponding weighted value of giving said label file according to the time and the frequency of the tag entry in the label file of said application program; Recommending module; Be used for the said application program that has label file being carried out statistical computation according to said each tag entry corresponding weighted value; Carry out the height ordering according to the weighted value application programs of the tag entry of said label file, the forward said application program of ordering is recommended to the user.
9. like the said intelligent television application program of claim 8 commending system; It is characterized in that; Said intelligent television application program commending system also comprises: application database, said application database is used for the label file of application storing and said application program.
10. like claim 8 or 9 said intelligent television application program commending systems; It is characterized in that; Said server unit also comprises creates intelligent television user account number module; Be used for the usage behavior of each tag entry of said label file being created user account number for each intelligent television, and storage intelligent television user uses the service time and the frequency of the tag entry of intelligent television application program and said intelligent television application program according to each intelligent television user.
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