CN105915961B - A kind of recommended method and device of close program - Google Patents
A kind of recommended method and device of close program Download PDFInfo
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- CN105915961B CN105915961B CN201610378221.1A CN201610378221A CN105915961B CN 105915961 B CN105915961 B CN 105915961B CN 201610378221 A CN201610378221 A CN 201610378221A CN 105915961 B CN105915961 B CN 105915961B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Social Psychology (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Software Systems (AREA)
- Human Computer Interaction (AREA)
- Computer Graphics (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses the recommended methods and device of a kind of close program to recommend and the comparable program of program temperature when having expired for the advertisement dispensing in a program according to the keyword of the program.The described method includes: extracting the keyword of each program；By all programs with same keyword with the crucial word association；Obtain the temperature of each program corresponding to the keyword；When the advertisement dispensing of keyword in the program of user's selection has been expired, user will be recommended with program same or similar with the program temperature of user's selection in the associated program of the keyword.The program can be when the advertisement in a program, which is launched, have expired, according to the recommendation of the keyword of the program and the comparable program of program temperature, to carry out autonomous selection dispensing advertisement according to recommendation results for advertiser, operating process is easy, and the user experience is improved.
Description
Technical field
The present invention relates to program field, in particular to a kind of the recommended method and device of close program.
Background technique
With the development of science and technology and the raising of living standards of the people, various types of programs are watched and have become people
Work, study, social and irreplaceable amusement and recreation important way.With user's frequency of use increase and user wants
The raising asked, the programme information and content provided for all types of user is also more and more extensive, and service provider is directed to the section of different channels
Mesh can provide different keywords so that user refers to, for example, enable want in a program launch advertisement advertiser according to
The keyword carries out advertisement dispensing.But is still lacking at present a kind of simple and fast and it is accurately recommended according to the keyword of program
The method of close program.
Summary of the invention
The present invention provides the recommended method and device of a kind of close program, and can launch in the advertisement in a program has expired
When, according to the recommendation of the keyword of the program and the comparable program of program temperature, to be carried out for advertiser according to recommendation results
Advertisement is launched in autonomous selection, and operating process is easy, and the user experience is improved.
According to a first aspect of the embodiments of the present invention, a kind of recommended method of close program is provided, comprising:
Extract the keyword of each program；
By all programs with same keyword with the crucial word association；
Obtain the temperature of each program corresponding to the keyword；
When user selection program in keyword advertisement dispensing expire when, will in the associated program of the keyword and
The program that the program temperature of user's selection is same or similar recommends user.
In one embodiment, it is described when user selection program in keyword advertisement dispensing expired when, will with it is described
The program same or similar with the program temperature of user's selection recommends user in the associated program of keyword, comprising:
When user selection program in keyword advertisement dispensing expire when, will in the associated program of the keyword and
The program that the program temperature of user's selection is identical or difference is within preset range is in the form of drop-down list or pop-up dialog box
User is recommended, so that user selects in the drop-down menu or the dialog box.
In one embodiment, it is described by all programs with same keyword with the crucial word association, comprising:
Lists of keywords is established, after all programs and the key word association with same keyword, record to institute
It states in lists of keywords；
The temperature for obtaining each program corresponding to the keyword, comprising:
The temperature of each program corresponding to the keyword that will acquire and the programming association in the lists of keywords；
It, will be with the associated program of the keyword when advertisement dispensing of keyword has been expired in the program selected as user
In with the identical program of program temperature of user's selection recommend user, comprising:
When user selection program in keyword advertisement dispensing expired when, transferred from the lists of keywords with it is described
Crucial word association, and or program that difference preset range within identical as the program temperature of user's selection, and by the program
Recommend user.
In one embodiment, the keyword for extracting each program includes:
The program-related information of each program is obtained, the program-related information includes program credits, program label and program
Voice messaging；
From the relevant information of the program, one group of keyword is extracted every a preset duration；
According to default statistical rules, the program is extracted from the multiple groups keyword within the program duration of the program
Keyword.
In one embodiment, the basis presets statistical rules, closes from the multiple groups within the program duration of the program
The keyword of the program is extracted in keyword, comprising:
It counts in the multiple groups keyword within the program duration of the program, the total degree that each keyword repeats；
Count the number that each keyword and other keywords occur simultaneously；
The number that total degree that each keyword repeats and each keyword and other keywords are occurred simultaneously into
Row weighted sum is simultaneously ranked up；
Ranking is presetting the keyword within ranking after obtaining sequence, and is recorded as the keyword of the program.
According to a second aspect of the embodiments of the present invention, a kind of recommendation apparatus of close program is also provided, comprising:
Extraction module, due to extracting the keyword of each program；
Relating module, for will have all programs of same keyword with the crucial word association；
Module is obtained, for obtaining the temperature of each program corresponding to the keyword；
Recommending module, for when in the program that user selects keyword advertisement dispensing expired when, will be with the keyword
The program same or similar with the program temperature of user's selection recommends user in associated program.
In one embodiment, the recommending module includes:
Recommend submodule, for when in the program that user selects keyword advertisement dispensing expired when, will be with the key
In the program of word association or program that difference preset range within identical as the program temperature of user's selection with drop-down list or
The form of pop-up dialog box recommends user, so that user selects in the drop-down menu or the dialog box.
In one embodiment, the relating module includes:
First association submodule, for establishing lists of keywords, by all programs and the key with same keyword
After word association, record into the lists of keywords；
The acquisition module includes:
Second is associated with submodule, the temperature of each program corresponding to the keyword for will acquire and the keyword
Programming association in list；
The recommending module includes:
Transfer submodule, for when in the program that user selects keyword advertisement dispensing expired when, from the keyword
It is transferred in list and the crucial word association, and section identical as the program temperature of user's selection or that difference is within preset range
Mesh, and the program is recommended into user.
In one embodiment, the extraction module includes:
Acquisition submodule, for obtaining the program-related information of each program, the program-related information include program credits,
Program label and program voice messaging；
First extracting sub-module, for extracting one group of pass every a preset duration from the relevant information of the program
Keyword；
Second extracting sub-module, for being closed from the multiple groups within the program duration of the program according to statistical rules is preset
The keyword of the program is extracted in keyword.
In one embodiment, second extracting sub-module includes:
First statistic unit, in the multiple groups keyword within program duration for counting the program, each keyword
The total degree repeated；
Second statistic unit, the number occurred simultaneously for counting each keyword and other keywords；
Sequencing unit, total degree and each keyword and other keywords for repeating each keyword are simultaneously
The number of appearance, which is weighted, to be summed and is ranked up；
Recording unit is presetting the keyword within ranking for ranking after obtaining sequence, and is being recorded as the section
Purpose keyword.
Technical solution provided in an embodiment of the present invention can produce following the utility model has the advantages that extracting the keyword of each program；It will tool
Have all programs of same keyword with the crucial word association；Obtain the temperature of each program corresponding to the keyword；
When the advertisement dispensing of keyword in the program of user's selection has been expired, will be selected with the associated program of the keyword with user
The same or similar program of program temperature recommend user.The program can the advertisement in a program launch expired when,
According to the recommendation of the keyword of the program and the comparable program of program temperature, to be carried out independently for advertiser according to recommendation results
Advertisement is launched in selection, and operating process is easy, and the user experience is improved.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention
It applies example to be used to explain the present invention together, not be construed as limiting the invention.
In the accompanying drawings:
Fig. 1 is a kind of present invention flow chart of the recommended method of close program shown according to an exemplary embodiment.
Fig. 2 is the flow chart of the recommended method of the close program of present invention another kind shown according to an exemplary embodiment.
Fig. 3 is a kind of present invention step S10 of the recommended method of close program shown according to an exemplary embodiment
Flow chart.
Fig. 4 is a kind of present invention step S103 of the recommended method of close program shown according to an exemplary embodiment
Flow chart.
Fig. 5 is a kind of present invention block diagram of the recommendation apparatus of close program shown according to an exemplary embodiment.
Fig. 6 is the block diagram of the recommendation apparatus of the close program of present invention another kind shown according to an exemplary embodiment.
Fig. 7 is a kind of present invention recommending module 64 of the recommendation apparatus of close program shown according to an exemplary embodiment
Block diagram.
Fig. 8 is a kind of present invention extraction module 61 of the recommendation apparatus of close program shown according to an exemplary embodiment
Block diagram.
Fig. 9 is second to extract son in a kind of present invention recommendation apparatus of close program shown according to an exemplary embodiment
The block diagram of module 613.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein
Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
The embodiment of the present disclosure provides a kind of recommended method of close program, launches for the advertisement in a program
Man Shi, according to the keyword of the program recommend with the comparable program of program temperature, thus for advertiser according to recommendation results into
Advertisement is launched in the autonomous selection of row, and operating process is easy, and the user experience is improved.As shown in Figure 1, the method comprising the steps of S10-
S40:
In step slo, the keyword of each program is extracted；That is, determine the keyword of each program first in this step,
Advertiser can carry out the dispensing of advertisement by the keyword.
In one embodiment, as shown in figure 3, the step S10 includes:
Step S101, the program-related information of each program is obtained, the program-related information includes program credits, program mark
Label and program voice messaging；Intelligible, the relevant information of the program can also include accessories, the wearing etc. of personage in program
The relevant informations such as other articles occurred in article or program and the noun of spectators' concern, as long as wanting dispensing with advertiser
Advertisement is related.Wherein, when obtaining the relevant information of program, the program voice messaging in the program-related information needs
Text is first converted to, carries out the extraction of keyword in the next steps again later, it will be appreciated that, it can first obtain the program voice
It is converted into text again after information, is obtained again after the program voice messaging can also be waited to be converted to text.In
In one embodiment, the program label includes programm name, program abstract, program category and program related personnel.It is appreciated that
, the program label can also be set according to user.
Step S102, from the relevant information of the program, one group of keyword is extracted every a preset duration；Wherein,
The preset duration can be set according to user, for example, be set as one minute, at this point, will be from every one minute
One group of keyword is obtained in the relevant information of the program, is counted in order to subsequent.And keyword is most in one group of keyword
The quantity retained afterwards can also be set according to user demand, and all keywords can also be obtained according to preset condition.
In one embodiment, using Tf-idf algorithm (a kind of weighted statistical method for information retrieval and data mining) from described
Keyword within preset duration described in filtering out one group in the relevant information of program.It is understood, of course, that, the Tf-idf is calculated
Method can also be replaced with other applicable algorithms, as long as can reach the demand for extracting keyword.Wherein, described pre-
If duration can be set according to user, for example, being set as one minute, at this point, Tf- will be used every one minute
Idf algorithm obtains one group of keyword from the relevant information of the program, is counted in order to subsequent.
Step S103, it according to statistical rules is preset, is extracted from the multiple groups keyword within the program duration of the program
The keyword of the program.It is intelligible, the preset duration described in the program time length ratio of the program also in short-term, the keyword
May there was only one group.The preset statistical rules can be set according to user demand.
In one embodiment, as shown in figure 4, the step S103 includes:
Step S1031, it counts in the multiple groups keyword within the program duration of the program, each keyword repeats
Total degree；Intelligible, also in short-term, the keyword may only have the preset duration described in the program time length ratio of the program
One group.In this step, the total degree that each keyword repeats in multiple groups keyword can be counted, the number of appearance is more,
Illustrate more being paid close attention to by spectators for the keyword, keyword value is higher for advertiser.
Step S1032, the number that each keyword and other keywords occur simultaneously is counted；In this step, it can count
The number that each keyword and other keywords occur simultaneously, while the number occurred is more, illustrates the keyword and other passes
The connection of keyword is closer.
Step S1033, the total degree that each keyword repeats is gone out simultaneously with each keyword and other keywords
Existing number, which is weighted, to be summed and is ranked up；Intelligible, the weight of the two weighting, which can according to need, to be defined.
Step S1034, ranking is presetting the keyword within ranking after obtaining sequence, and is recorded as the program
Keyword.Wherein, the default ranking, which can according to need, is set, for example setting default ranking is preceding ten, then, it sorts
Preceding ten keyword be the program keyword.
In step S20, by all programs with same keyword with the crucial word association；That is, statistics institute
There are all keywords of program, all programs with same keyword is associated with the keyword, in order to subsequent
It is transferred in step.
In step s 30, the temperature of each program corresponding to the keyword is obtained；That is, obtaining each keyword institute
The associated respective temperature of all programs, in order to be transferred in subsequent step.
In step s 40, it when the advertisement dispensing of keyword in the program of user's selection has been expired, will be closed with the keyword
The program same or similar with the program temperature of user's selection recommends user in the program of connection.That is, when the section of user's selection
When the advertisement dispensing of keyword has been expired in mesh, the dispensing of advertisement cannot be carried out by the keyword again, institute can be set at this time
Stating keyword cannot be selected (lock state), and crucial in the program that (or pop-up window) selects user on the display page
The advertisement of word is launched full state and is illustrated, at the same by with the program in the associated program of the keyword with user's selection
The same or similar program of temperature recommends user.It is intelligible, when the advertisement of keyword in the program of user's selection is launched
Man Shi, which can also and be not locked out, when the user clicks when the keyword, i.e., on the display page (or pop-out
Mouthful) state full to the advertisement dispensing of keyword in the program of user's selection is illustrated, while will be closed with the keyword
The program same or similar with the program temperature of user's selection recommends user in the program of connection.
In one embodiment, the step S40 includes: when the advertisement dispensing of keyword in the program of user's selection has been expired
When, by and the associated program of the keyword in the program temperature of user's selection identical or section that difference is within preset range
Mesh recommends user in the form of drop-down list or pop-up dialog box, so that user is in the drop-down menu or the dialog box
It is selected.Certainly, the mode of the recommendation is not limited to as drop-down list or pops up dialog box, is also possible to other appoint
What form of expression appropriate.Wherein, the preset range, which can according to need, is set, such as the percentage model of setting difference
It encloses.
In one embodiment, as shown in Fig. 2, the step S20 includes step S201: establishing lists of keywords, will have
After having all programs and the key word association of same keyword, record into the lists of keywords；That is, in the step
In, all keywords of all programs are counted, all programs with same keyword are associated with the keyword, and
Its incidence relation is stored into lists of keywords.
As shown in Fig. 2, the step S30 includes step S301: each program corresponding to the keyword that will acquire
Programming association in temperature and the lists of keywords；That is, in this step, the temperature of each program and the keyword are closed
Connection relationship is stored into lists of keywords.
As shown in Fig. 2, the step S40 includes step S401: when the advertisement of keyword in the program of user's selection is launched
When having expired, transferred from the lists of keywords with the crucial word association, and it is identical or poor as the program temperature of user's selection
Program not within preset range, and the program is recommended into user.That is, when needing above-mentioned incidence relation, it is only necessary to
It to be transferred from the lists of keywords, enormously simplify process, shorten the processing time.
The above method provided in an embodiment of the present invention extracts the keyword of each program；It will be all with same keyword
Program with the crucial word association；Obtain the temperature of each program corresponding to the keyword；When in the program of user's selection
The advertisement dispensing of keyword has been when expire, by and the associated program of the keyword in the program temperature that user selects identical or phase
Close program recommends user.The program can be when the advertisement in a program, which is launched, have expired, according to the keyword of the program
Recommend and the comparable program of program temperature is grasped so that carrying out autonomous selection according to recommendation results for advertiser launches advertisement
Make process simplicity, the user experience is improved.
The recommended method of corresponding close program provided in an embodiment of the present invention, the present invention also provides the recommendation of close program dresses
It sets, as shown in figure 5, the device can include:
Extraction module 61, due to extracting the keyword of each program；
Relating module 62, for will have all programs of same keyword with the crucial word association；
Module 63 is obtained, for obtaining the temperature of each program corresponding to the keyword；
Recommending module 64, for when in the program that user selects keyword advertisement dispensing expired when, will be with the key
The program same or similar with the program temperature of user's selection recommends user in the program of word association.
In one embodiment, as shown in fig. 7, the recommending module 64 includes:
Recommend submodule 642, for when in the program that user selects keyword advertisement dispensing expired when, will be with the pass
It is identical as the program temperature of user's selection or program that difference is within preset range is with drop-down list in the associated program of keyword
Or the form of pop-up dialog box recommends user, so that user selects in the drop-down menu or the dialog box.
In one embodiment, as shown in fig. 6, the relating module 62 includes:
First association submodule 621, for establishing lists of keywords, by with same keyword all programs and the pass
After keyword association, record into the lists of keywords；
The acquisition module 63 includes:
Second is associated with submodule 631, the temperature of each program corresponding to the keyword for will acquire and the pass
Programming association in keyword list；
The recommending module 64 includes:
Transfer submodule 641, for when in the program that user selects keyword advertisement dispensing expired when, from the key
Transferred in word list with the crucial word association, and it is identical as the program temperature of user's selection or difference is within preset range
Program, and the program is recommended into user.
In one embodiment, as shown in figure 8, the extraction module 61 includes:
Acquisition submodule 611, for obtaining the program-related information of each program, the program-related information includes program word
Curtain, program label and program voice messaging；
First extracting sub-module 612, for extracting one group every a preset duration from the relevant information of the program
Keyword；
Second extracting sub-module 613 presets statistical rules, the multiple groups within the program duration of the program for basis
The keyword of the program is extracted in keyword.
In one embodiment, as shown in figure 9, second extracting sub-module 613 includes:
First statistic unit 6131, in the multiple groups keyword within program duration for counting the program, Mei Geguan
The total degree that keyword repeats；
Second statistic unit 6132, the number occurred simultaneously for counting each keyword and other keywords；
Sequencing unit 6133, total degree and each keyword and other keywords for repeating each keyword
The number occurred simultaneously, which is weighted, to be summed and is ranked up；
Recording unit 6134 is presetting the keyword within ranking for ranking after obtaining sequence, and is being recorded as institute
State the keyword of program.
Above-mentioned apparatus provided in an embodiment of the present invention, can be when the advertisement in a program, which is launched, have expired, according to the section
Purpose keyword recommends and the comparable program of program temperature, launches to carry out autonomous selection according to recommendation results for advertiser
Advertisement, operating process is easy, and the user experience is improved.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The shape for the computer program product implemented in usable storage medium (including but not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in implementation flow chart and/or block diagram can be requested by computer program
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Request the processor to general purpose computer, special purpose computer, Embedded Processor or other programmable information processing equipments to produce
A raw machine, so that being generated by the request that computer or the processor of other programmable information processing equipments execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
The request of these computer programs, which may also be stored in, is able to guide computer or other programmable information processing equipments with spy
Determine in the computer-readable memory that mode works, so that it includes asking that request stored in the computer readable memory, which generates,
Seek the manufacture of device, the request unit realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
The request of these computer programs can also be loaded into computer or other programmable information processing equipments, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The request executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of recommended method of close program characterized by comprising
Extract the keyword of each program；
By all programs with same keyword with the crucial word association；
Obtain the temperature of each program corresponding to the keyword；
When user selection program in keyword advertisement dispensing expired when, will in the associated program of the keyword with user
The program that the program temperature of selection is same or similar recommends user；
It is described by all programs with same keyword with the crucial word association, comprising:
Lists of keywords is established, after all programs and the key word association with same keyword, record to the pass
In keyword list；
The temperature for obtaining each program corresponding to the keyword, comprising:
The temperature of each program corresponding to the keyword that will acquire and the programming association in the lists of keywords；
It is described when user selection program in keyword advertisement dispensing expire when, will in the associated program of the keyword and
The identical program of program temperature of user's selection recommends user, comprising:
When the advertisement dispensing of keyword in the program of user's selection has been expired, transferred from the lists of keywords and the key
Word association, and program identical as the program temperature of user's selection or that difference is within preset range, and the program is recommended
To user.
2. the method as described in claim 1, which is characterized in that described when the advertisement of keyword in the program of user's selection is launched
When having expired, use will be recommended with program same or similar with the program temperature of user's selection in the associated program of the keyword
Family, comprising:
When user selection program in keyword advertisement dispensing expired when, will in the associated program of the keyword with user
The program that the program temperature of selection is identical or difference is within preset range is recommended in the form of drop-down list or pop-up dialog box
To user, so that user selects in the drop-down list or the dialog box.
3. the method as described in claim 1, which is characterized in that the keyword for extracting each program includes:
The program-related information of each program is obtained, the program-related information includes program credits, program label and program voice
Information；
From the relevant information of the program, one group of keyword is extracted every a preset duration；
According to default statistical rules, the key of the program is extracted from the multiple groups keyword within the program duration of the program
Word.
4. method as claimed in claim 3, which is characterized in that the basis presets statistical rules, from the program of the program
The keyword of the program is extracted in multiple groups keyword within duration, comprising:
It counts in the multiple groups keyword within the program duration of the program, the total degree that each keyword repeats；
Count the number that each keyword and other keywords occur simultaneously；
Total degree and each keyword that each keyword repeats and the number that other keywords occur simultaneously are added
Power is summed and is ranked up；
Ranking is presetting the keyword within ranking after obtaining sequence, and is recorded as the keyword of the program.
5. a kind of recommendation apparatus of close program characterized by comprising
Extraction module, due to extracting the keyword of each program；
Relating module, for will have all programs of same keyword with the crucial word association；
Module is obtained, for obtaining the temperature of each program corresponding to the keyword；
Recommending module, for when in the program that user selects keyword advertisement dispensing expire when, will with it is described key word association
Program in the same or similar program of program temperature of user's selection recommend user；
First association submodule closes all programs with same keyword with the keyword for establishing lists of keywords
After connection, record into the lists of keywords；
The acquisition module includes:
Second is associated with submodule, the temperature and the lists of keywords of each program corresponding to the keyword for will acquire
In programming association；
The recommending module includes:
Transfer submodule, for when in the program that user selects keyword advertisement dispensing expired when, from the lists of keywords
In transfer with the crucial word association, and program identical as the program temperature of user's selection or that difference is within preset range,
And the program is recommended into user.
6. device as claimed in claim 5, which is characterized in that the recommending module includes:
Recommend submodule, for that will close with the keyword when the advertisement dispensing of keyword in the program that user selects has been expired
It is identical as the program temperature of user's selection or program that difference is within preset range is with drop-down list or pop-up in the program of connection
The form of dialog box recommends user, so that user selects in the drop-down list or the dialog box.
7. device as claimed in claim 5, which is characterized in that the extraction module includes:
Acquisition submodule, for obtaining the program-related information of each program, the program-related information includes program credits, program
Label and program voice messaging；
First extracting sub-module, for extracting one group of keyword every a preset duration from the relevant information of the program；
Second extracting sub-module presets statistical rules, the multiple groups keyword within the program duration of the program for basis
The middle keyword for extracting the program.
8. device as claimed in claim 7, which is characterized in that second extracting sub-module includes:
First statistic unit, in the multiple groups keyword within program duration for counting the program, each keyword is repeated
The total degree of appearance；
Second statistic unit, the number occurred simultaneously for counting each keyword and other keywords；
Sequencing unit, the total degree for repeating each keyword occur simultaneously with each keyword and other keywords
Number be weighted sum and be ranked up；
Recording unit is presetting the keyword within ranking for ranking after obtaining sequence, and is being recorded as the program
Keyword.
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| CN107506456A (en) * | 2017-08-29 | 2017-12-22 | 环球智达科技（北京）有限公司 | A kind of similarity calculating method based on film story of a play or opera information |
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