CN105915961A - Recommending method and device for similar programs - Google Patents
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- CN105915961A CN105915961A CN201610378221.1A CN201610378221A CN105915961A CN 105915961 A CN105915961 A CN 105915961A CN 201610378221 A CN201610378221 A CN 201610378221A CN 105915961 A CN105915961 A CN 105915961A
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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)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a recommending method and device for similar programs, and the recommending method and device are used for recommending programs equivalent to a program according to keywords of the program when advertisements put in the program are full. The method comprises the steps of: extracting keywords of each program; associating all the programs having the same keywords with the keywords; obtaining the hot degree of each program corresponding to the keywords; and when advertisements put in the program selected by a user are full, recommending the programs identical with or similar to the selected program in hot degree from the programs associated with the keywords. According to the scheme, when the advertisements put in one program are full, according to the keywords of the program, other programs equivalent to the program in hot degree are recommended, so that an advertiser is enabled to carry out independent advertisement putting according to the recommending result, the operation process is simple, and the experience of the user is improved.
Description
Technical field
The present invention relates to program field, particularly to the recommendation method and device of a kind of close program.
Background technology
Along with development and the raising of living standards of the people of science and technology, view and admire various types of program and become
For people's work, study, the social and irreplaceable important way of amusement and recreation.Along with user uses frequency
Increasing and the raising of user's requirement of rate, the programme information and the content that provide for all types of user are more and more wider
General, service provider can provide different key words to carry out reference for user for the program of different channels, than
As, order wants the advertiser throwing in advertisement in a program to carry out advertisement putting according to this key word.But at present
Still lack a kind of simple and fast and the method recommending its close program according to the key word of program accurately.
Summary of the invention
The present invention provides the recommendation method and device of a kind of close program, can the advertisement in a program throw
When putting completely, recommend the program suitable with this program temperature according to the key word of this program, thus for advertiser
Carrying out throwing in advertisement from main separation according to recommendation results, its operating process is easy, improves Consumer's Experience.
First aspect according to embodiments of the present invention, it is provided that a kind of recommendation method of close program, including:
Extract the key word of each program；
All programs with same keyword are all associated with described key word；
Obtain the temperature of each program corresponding to described key word；
When in the program that user selects, the advertisement putting of key word is expired, the joint that will associate with described key word
Program same or like with the program temperature that user selects in mesh recommends user.
In one embodiment, described when in the program that user selects, the advertisement putting of key word is expired, will
Program same or like with the program temperature that user selects in the program associated with described key word is recommended
User, including:
When in the program that user selects, the advertisement putting of key word is expired, the joint that will associate with described key word
The program that program temperature is identical or difference is within preset range selected with user in mesh with drop-down list or
The form of pop-up dialogue box recommends user, carries out in described drop-down menu or described dialog box for user
Select.
In one embodiment, described all close having all programs of same keyword with described key word
Connection, including:
Set up lists of keywords, after all programs with same keyword are associated with this key word, note
In record extremely described lists of keywords；
The temperature of each program corresponding to the described key word of described acquisition, including:
The temperature of each program corresponding to described key word that will obtain and the program in described lists of keywords
Association；
Described when in the program that user selects, the advertisement putting of key word is expired, will associate with described key word
Program in the identical program of program temperature that selects with user recommend user, including:
When in the program that user selects, the advertisement putting of key word is expired, transfer in described lists of keywords
Associate with described key word, and the joint that program temperature is identical or difference is within preset range selected with user
Mesh, and described program is recommended user.
In one embodiment, the key word of each program of described extraction includes:
Obtaining the program-related information of each program, described program-related information includes program credits, program label
With program voice messaging；
From the relevant information of described program, extract one group of key word every a preset duration；
According to default statistical rules, the many groups key word within the program duration of described program extract described
The key word of program.
In one embodiment, described basis presets statistical rules, within the program duration of described program
Many group key words extract the key word of described program, including:
Adding up in the many groups key word within the program duration of described program, it is total that each key word repeats
Number of times；
Add up the number of times that each key word occurs simultaneously with other key words；
The total degree repeated by each key word occurs with each key word and other key words simultaneously
Number of times is weighted summation and is ranked up；
Obtain ranking key word within default ranking after sequence, and be recorded as the key of described program
Word.
Second aspect according to embodiments of the present invention, also provides for the recommendation apparatus of a kind of close program, including:
Extraction module, owing to extracting the key word of each program；
Relating module, for all associating all programs with same keyword with described key word；
Acquisition module, for obtaining the temperature of each program corresponding to described key word；
Recommending module, when in the program when user's selection, the advertisement putting of key word is expired, will be with described
Program same or like with the program temperature that user selects in the program of key word association recommends user.
In one embodiment, described recommending module includes:
Recommend submodule, when in the program when user's selection, the advertisement putting of key word is expired, will be with institute
State identical with the program temperature that user selects in the program of key word association or difference is within preset range
Program recommends user with the form of drop-down list or pop-up dialogue box, for user at described drop-down menu or
Described dialog box selects.
In one embodiment, described relating module includes:
First association submodule, is used for setting up lists of keywords, by have all programs of same keyword with
After the association of this key word, in record to described lists of keywords；
Described acquisition module includes:
Second association submodule, is used for the temperature of each program corresponding to the described key word of acquisition with described
Programming association in lists of keywords；
Described recommending module includes:
Transfer submodule, for when the advertisement putting of key word is expired in the program that user selects, from described
Lists of keywords is transferred and associates with described key word, and identical or difference exists with the program temperature that user selects
Program within preset range, and described program is recommended user.
In one embodiment, described extraction module includes:
Obtaining submodule, for obtaining the program-related information of each program, described program-related information includes joint
Mesh captions, program label and program voice messaging；
First extracts submodule, for from the relevant information of described program, extracts every a preset duration
One group of key word；
Second extracts submodule, for according to presetting statistical rules, within the program duration of described program
Many group key words extract the key word of described program.
In one embodiment, described second extraction submodule includes:
First statistic unit, in the many groups key word within the program duration adding up described program, each
The total degree that key word repeats；
Second statistic unit, for adding up the number of times that each key word and other key words occur simultaneously；
Sequencing unit, crucial with other with each key word for the total degree that each key word is repeated
The number of times that word occurs simultaneously is weighted summation and is ranked up；
Record unit, for obtaining ranking key word within default ranking after sequence, and is recorded as
The key word of described program.
The technical scheme that the embodiment of the present invention provides can produce following beneficial effect: extracts the key of each program
Word；All programs with same keyword are all associated with described key word；Obtain described key word institute right
The temperature of each program answered；When in the program that user selects, the advertisement putting of key word is expired, will be with described
Program same or like with the program temperature that user selects in the program of key word association recommends user.Should
Scheme can be recommended and this program according to the key word of this program when the advertisement putting in a program is expired
The program that temperature is suitable, thus carry out throwing in advertisement from main separation according to recommendation results for advertiser, its operation
Process is easy, improves Consumer's Experience.
Other features and advantages of the present invention will illustrate in the following description, and, partly from explanation
Book becomes apparent, or understands by implementing the present invention.The purpose of the present invention and other advantages can
Realize by structure specifically noted in the description write, claims and accompanying drawing and obtain
?.
Below by drawings and Examples, technical scheme is described in further detail.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, with this
Bright embodiment is used for explaining the present invention together, is not intended that limitation of the present invention.
In the accompanying drawings:
Fig. 1 is the present invention flow process according to the recommendation method of a kind of close program shown in an exemplary embodiment
Figure.
Fig. 2 is the present invention stream according to the recommendation method of the close program of another kind shown in an exemplary embodiment
Cheng Tu.
Fig. 3 is the present invention step according to the recommendation method of a kind of close program shown in an exemplary embodiment
The flow chart of S10.
Fig. 4 is the present invention step according to the recommendation method of a kind of close program shown in an exemplary embodiment
The flow chart of S103.
Fig. 5 is the present invention frame according to the recommendation apparatus of a kind of close program shown in an exemplary embodiment
Figure.
Fig. 6 is the present invention frame according to the recommendation apparatus of the close program of another kind shown in an exemplary embodiment
Figure.
Fig. 7 is the present invention recommendation according to the recommendation apparatus of a kind of close program shown in an exemplary embodiment
The block diagram of module 64.
Fig. 8 is the present invention extraction according to the recommendation apparatus of a kind of close program shown in an exemplary embodiment
Module 61 block diagram.
Fig. 9 is that the present invention is according in the recommendation apparatus of a kind of close program shown in an exemplary embodiment second
Extract the block diagram of submodule 613.
Detailed description of the invention
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are illustrated, it will be appreciated that described herein
Preferred embodiment is merely to illustrate and explains the present invention, is not intended to limit the present invention.
Disclosure embodiment provides a kind of recommendation method of close program, for the advertisement in a program
When throwing in completely, recommend the program suitable with this program temperature according to the key word of this program, thus for advertisement
Main root carries out throwing in advertisement from main separation according to recommendation results, and its operating process is easy, improves Consumer's Experience.
As it is shown in figure 1, the method comprising the steps of S10-S40:
In step slo, the key word of each program is extracted；That is, first determine each program
Key word, advertiser can carry out the input of advertisement by this key word.
In one embodiment, as it is shown on figure 3, described step S10 includes:
Step S101, obtain the program-related information of each program, described program-related information include program credits,
Program label and program voice messaging；Intelligible, the relevant information of described program can also include in program
The nouns that other article occurred in the article such as the accessories of personage, wearing or program and spectators pay close attention to etc. are relevant
Information, as long as wanting the advertisement thrown in relevant to advertiser.Wherein, in the relevant information obtaining program
Time, the program voice messaging in described program-related information needs first to be converted to word, the most again in follow-up step
The extraction of key word is carried out in Zhou, it will be appreciated that, can first obtain after this program voice messaging again by its turn
It is changed to word, it is also possible to wait that this program voice messaging obtains after being converted to word again.A reality
Executing in example, described program label includes programm name, program abstract, program category and program related personnel.
Intelligible, described program label can also need to be set according to user.
Step S102, from the relevant information of described program, extract one group of key word every a preset duration；
Wherein, described preset duration can need to be set according to user, such as, is set as one minute, now,
One group of key word will be obtained from the relevant information of described program, in order to follow-up unite every one minute
Meter.And the quantity that in one group of key word, key word finally retains can also be set according to user's request, also
All of key word can be obtained according to default condition.In one embodiment, Tf-idf algorithm (is used
Plant the weighted statistical method for information retrieval and data mining) filter out from the relevant information of described program
Key word within preset duration described in a group.It is understood, of course, that, described Tf-idf algorithm can also be used
Other algorithms being suitable for are replaced, as long as the demand of key word can be reached to extract.Wherein, described
Preset duration can need to be set according to user, such as, is set as one minute, now, every one point
Clock will use Tf-idf algorithm to obtain one group of key word from the relevant information of described program, in order to follow-up
Add up.
Step S103, basis preset statistical rules, the many groups key word within the program duration of described program
The key word of the described program of middle extraction.Intelligible, when preset duration described in the program time length ratio of described program
The most in short-term, described key word may only have one group.Described default statistical rules can enter according to user's request
Row sets.
In one embodiment, as shown in Figure 4, described step S103 includes:
Step S1031, add up in the many groups key word within the program duration of described program, each key word
The total degree repeated；Intelligible, when preset duration described in the program time length ratio of described program the most in short-term,
Described key word may only have one group.In this step, each key word in many group key words can be added up repeat
The total degree occurred, the number of times of appearance is the most, and more being paid close attention to by spectators, for advertiser of this key word is described
For this key word be worth the highest.
Step S1032, add up the number of times that each key word and other key words occur simultaneously；In this step,
Can add up the number of times that each key word occurs simultaneously with other key words, the number of times simultaneously occurred is the most, explanation
This key word is the tightst with contacting of other key words.
Step S1033, the total degree that each key word is repeated and each key word and other key words
The number of times simultaneously occurred is weighted summation and is ranked up；Intelligible, both weights of weighting can root
It is defined according to needs.
Ranking key word within default ranking after step S1034, acquisition sequence, and it is recorded as institute
State the key word of program.Wherein, described default ranking can be set as required, such as sets and presets
Ranking is front ten, then, sort front ten the key word that key word is this program.
In step S20, all programs with same keyword are all associated with described key word；That is,
Add up all key words of all programs, all programs with same key word are all carried out with this key word
Association, in order to transfer in subsequent step.
In step s 30, the temperature of each program corresponding to described key word is obtained；That is, obtain each
The respective temperature of all programs associated by key word, in order to transfer in subsequent step.
In step s 40, when in the program that user selects, the advertisement putting of key word is expired, will be with described
Program same or like with the program temperature that user selects in the program of key word association recommends user.Also
That is, when in the program that user selects, the advertisement putting of key word is expired, it is impossible to entered by described key word again
The input of row advertisement, now can set described key word and can not be chosen (lock-out state), and in display
The state that in the program that on the page, user is selected by (or pop-up window), the advertisement putting of key word is the fullest is carried out
Illustrate, same or like with the program temperature that user selects in the program that simultaneously will associate with described key word
Program recommends user.Intelligible, when in the program that user selects, the advertisement putting of key word is expired,
This key word can also and be not locked out, when user clicks on described key word, i.e. display the page on (or
Pop-up window) state that the advertisement putting of key word in the program of user's selection is the fullest is illustrated, simultaneously
Program same or like with the program temperature that user selects in the program that will associate with described key word is recommended
To user.
In one embodiment, described step S40 includes: when the advertisement of key word in the program that user selects
When throwing in completely, by or difference identical with the program temperature of user's selection with the program that described key word associates
Program within preset range recommends user with the form of drop-down list or pop-up dialogue box, for user
Described drop-down menu or described dialog box select.Certainly, the mode of described recommendation is not limited to
For drop-down list or pop-up dialogue box, it is also possible to be other any suitable form of expression.Wherein, described
Preset range can be set as required, such as sets the percentage range etc. of difference.
In one embodiment, as in figure 2 it is shown, described step S20 includes step S201: set up key
Word list, after all programs with same keyword are associated with this key word, record to described key
In word list；That is, in this step, add up all key words of all programs, will have same key
All programs of word are all associated with this key word, and are stored to lists of keywords by its incidence relation.
As in figure 2 it is shown, described step S30 includes step S301: corresponding to the described key word that will obtain
Each program temperature and described lists of keywords in programming association；That is, in this step, by each joint
Purpose temperature and described key word incidence relation store to lists of keywords.
As in figure 2 it is shown, described step S40 includes step S401: when key word in the program that user selects
Advertisement putting completely time, transfer in described lists of keywords and associate with described key word, and select with user
The program that program temperature is identical or difference is within preset range selected, and described program is recommended user.
That is, when the above-mentioned incidence relation of needs, it is only necessary to transfer from described lists of keywords, significantly letter
Change flow process, shorten the process time.
The said method that the embodiment of the present invention provides, extracts the key word of each program；To have same keyword
All programs all associate with described key word；Obtain the temperature of each program corresponding to described key word；When
In the program that user selects the advertisement putting of key word completely time, in the program that will associate with described key word with
The program that the program temperature of user's selection is same or like recommends user.The program can be in a program
Advertisement putting completely time, recommend the program suitable with this program temperature according to the key word of this program, thus
Carrying out throwing in advertisement from main separation according to recommendation results for advertiser, its operating process is easy, improves user
Experience.
The recommendation method of the close program that the corresponding embodiment of the present invention provides, the present invention also provides for close program
Recommendation apparatus, as it is shown in figure 5, this device comprises the steps that
Extraction module 61, owing to extracting the key word of each program；
Relating module 62, for all associating all programs with same keyword with described key word；
Acquisition module 63, for obtaining the temperature of each program corresponding to described key word；
Recommending module 64, when in the program when user's selection, the advertisement putting of key word is expired, will be with institute
State program same or like with the program temperature that user selects in the program of key word association and recommend user.
In one embodiment, as it is shown in fig. 7, described recommending module 64 includes:
Recommend submodule 642, when in the program when user's selection, the advertisement putting of key word is expired, will
With the program that described key word associates selects with user program temperature is identical or difference preset range it
Interior program recommends user with the form of drop-down list or pop-up dialogue box, for user at described drop-down dish
Single or described dialog box selects.
In one embodiment, as shown in Figure 6, described relating module 62 includes:
First association submodule 621, is used for setting up lists of keywords, will have all joints of same keyword
After mesh associates with this key word, in record to described lists of keywords；
Described acquisition module 63 includes:
Second association submodule 631, for by obtain described key word corresponding to each program temperature with
Programming association in described lists of keywords；
Described recommending module 64 includes:
Transfer submodule 641, when in the program when user's selection, the advertisement putting of key word is expired, from
Described lists of keywords is transferred and associates with described key word, and identical or poor with the program temperature that user selects
The not program within preset range, and described program is recommended user.
In one embodiment, as shown in Figure 8, described extraction module 61 includes:
Obtain submodule 611, for obtaining the program-related information of each program, described program-related information bag
Include program credits, program label and program voice messaging；
First extracts submodule 612, for from the relevant information of described program, every a preset duration
Extract one group of key word；
Second extract submodule 613, for according to preset statistical rules, from the program duration of described program it
Interior many groups key word extracts the key word of described program.
In one embodiment, as it is shown in figure 9, described second extraction submodule 613 includes:
First statistic unit 6131, in the many groups key word within the program duration adding up described program,
The total degree that each key word repeats；
Second statistic unit 6132, for adding up the number of times that each key word and other key words occur simultaneously；
Sequencing unit 6133, for total degree that each key word is repeated and each key word and other
The number of times that key word occurs simultaneously is weighted summation and is ranked up；
Record unit 6134, for obtaining ranking key word within default ranking after sequence, and is remembered
Record is the key word of described program.
The said apparatus that the embodiment of the present invention provides, can be when the advertisement putting in a program be expired, root
The program suitable with this program temperature is recommended according to the key word of this program, thus for advertiser according to recommendation results
Carrying out throwing in advertisement from main separation, its operating process is easy, improves Consumer's Experience.
Those skilled in the art are it should be appreciated that embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can use complete hardware embodiment, complete software implementation or knot
The form of the embodiment in terms of conjunction software and hardware.And, the present invention can use and wherein wrap one or more
Computer-usable storage medium containing computer usable program code (include but not limited to disk memory and
Optical memory etc.) form of the upper computer program implemented.
The present invention is with reference to method, equipment (system) and computer program product according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that can by computer program request flowchart and
/ or block diagram in each flow process and/or flow process in square frame and flow chart and/or block diagram and/
Or the combination of square frame.These computer programs can be provided to ask general purpose computer, special-purpose computer, embedding
The processor of formula datatron or other programmable information processing equipments is to produce a machine so that by calculating
The request that the processor of machine or other programmable information processing equipments performs produces for realizing at flow chart one
The device of the function specified in individual flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
The request of these computer programs may be alternatively stored in and computer or the process of other programmable informations can be guided to set
In the standby computer-readable memory worked in a specific way so that be stored in this computer-readable memory
Request produce and include the manufacture of request unit, this request unit realizes in one flow process or multiple of flow chart
The function specified in flow process and/or one square frame of block diagram or multiple square frame.
The request of these computer programs also can be loaded in computer or other programmable information processing equipments, makes
Sequence of operations step must be performed to produce computer implemented place on computer or other programmable devices
Reason, thus the request performed on computer or other programmable devices provides for realizing flow chart one
The step of the function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification without deviating from this to the present invention
The spirit and scope of invention.So, if these amendments of the present invention and modification belong to the claims in the present invention
And within the scope of equivalent technologies, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. the recommendation method of a close program, it is characterised in that including:
Extract the key word of each program；
All programs with same keyword are all associated with described key word；
Obtain the temperature of each program corresponding to described key word；
When in the program that user selects, the advertisement putting of key word is expired, the joint that will associate with described key word
Program same or like with the program temperature that user selects in mesh recommends user.
2. the method for claim 1, it is characterised in that described when closing in the program that user selects
When the advertisement putting of keyword is expired, the program temperature selected with user in the program that will associate with described key word
Same or like program recommends user, including:
When in the program that user selects, the advertisement putting of key word is expired, the joint that will associate with described key word
The program that program temperature is identical or difference is within preset range selected with user in mesh with drop-down list or
The form of pop-up dialogue box recommends user, carries out in described drop-down menu or described dialog box for user
Select.
3. the method for claim 1, it is characterised in that described will have the institute of same keyword
Program is had all to associate with described key word, including:
Set up lists of keywords, after all programs with same keyword are associated with this key word, note
In record extremely described lists of keywords；
The temperature of each program corresponding to the described key word of described acquisition, including:
The temperature of each program corresponding to described key word that will obtain and the program in described lists of keywords
Association；
Described when in the program that user selects, the advertisement putting of key word is expired, will associate with described key word
Program in the identical program of program temperature that selects with user recommend user, including:
When in the program that user selects, the advertisement putting of key word is expired, transfer in described lists of keywords
Associate with described key word, and the joint that program temperature is identical or difference is within preset range selected with user
Mesh, and described program is recommended user.
4. the method for claim 1, it is characterised in that the key word bag of each program of described extraction
Include:
Obtaining the program-related information of each program, described program-related information includes program credits, program label
With program voice messaging；
From the relevant information of described program, extract one group of key word every a preset duration；
According to default statistical rules, the many groups key word within the program duration of described program extract described
The key word of program.
5. method as claimed in claim 4, it is characterised in that described basis presets statistical rules, from
Many groups key word within the program duration of described program extracts the key word of described program, including:
Adding up in the many groups key word within the program duration of described program, it is total that each key word repeats
Number of times；
Add up the number of times that each key word occurs simultaneously with other key words；
The total degree repeated by each key word occurs with each key word and other key words simultaneously
Number of times is weighted summation and is ranked up；
Obtain ranking key word within default ranking after sequence, and be recorded as the key of described program
Word.
6. the recommendation apparatus of a close program, it is characterised in that including:
Extraction module, owing to extracting the key word of each program；
Relating module, for all associating all programs with same keyword with described key word；
Acquisition module, for obtaining the temperature of each program corresponding to described key word；
Recommending module, when in the program when user's selection, the advertisement putting of key word is expired, will be with described
Program same or like with the program temperature that user selects in the program of key word association recommends user.
7. device as claimed in claim 6, it is characterised in that described recommending module includes:
Recommend submodule, when in the program when user's selection, the advertisement putting of key word is expired, will be with institute
State identical with the program temperature that user selects in the program of key word association or difference is within preset range
Program recommends user with the form of drop-down list or pop-up dialogue box, for user at described drop-down menu or
Described dialog box selects.
8. device as claimed in claim 6, it is characterised in that described relating module includes:
First association submodule, is used for setting up lists of keywords, by have all programs of same keyword with
After the association of this key word, in record to described lists of keywords；
Described acquisition module includes:
Second association submodule, is used for the temperature of each program corresponding to the described key word of acquisition with described
Programming association in lists of keywords；
Described recommending module includes:
Transfer submodule, for when the advertisement putting of key word is expired in the program that user selects, from described
Lists of keywords is transferred and associates with described key word, and identical or difference exists with the program temperature that user selects
Program within preset range, and described program is recommended user.
9. device as claimed in claim 6, it is characterised in that described extraction module includes:
Obtaining submodule, for obtaining the program-related information of each program, described program-related information includes joint
Mesh captions, program label and program voice messaging；
First extracts submodule, for from the relevant information of described program, extracts every a preset duration
One group of key word；
Second extracts submodule, for according to presetting statistical rules, within the program duration of described program
Many group key words extract the key word of described program.
10. device as claimed in claim 9, it is characterised in that described second extracts submodule includes:
First statistic unit, in the many groups key word within the program duration adding up described program, each
The total degree that key word repeats；
Second statistic unit, for adding up the number of times that each key word and other key words occur simultaneously；
Sequencing unit, crucial with other with each key word for the total degree that each key word is repeated
The number of times that word occurs simultaneously is weighted summation and is ranked up；
Record unit, for obtaining ranking key word within default ranking after sequence, and is recorded as
The key word of described program.
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Denomination of invention: A recommendation method and device for similar programs Effective date of registration: 20210104 Granted publication date: 20191129 Pledgee: Inner Mongolia Huipu Energy Co.,Ltd. Pledgor: WUXI TVMINING MEDIA SCIENCE & TECHNOLOGY Co.,Ltd. Registration number: Y2020990001517 |
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