CN106254904A - A kind of media program material based on user's hot word recommends method and system - Google Patents
A kind of media program material based on user's hot word recommends method and system Download PDFInfo
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- CN106254904A CN106254904A CN201610865692.5A CN201610865692A CN106254904A CN 106254904 A CN106254904 A CN 106254904A CN 201610865692 A CN201610865692 A CN 201610865692A CN 106254904 A CN106254904 A CN 106254904A
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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]
- H04N21/20—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
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/216—Parsing using statistical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- General Health & Medical Sciences (AREA)
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention relates to broadcasting and TV technical field, a kind of media program material based on user's hot word of concrete offer recommends method and system, the embodiment of the present invention adopts the technical scheme that by obtaining the user version that media produce time mutual with user, this user version is carried out participle and obtains the mutual vocabulary of user, and add up the hot value of the mutual word of each user in the mutual vocabulary of described user；Recommend media program material finally according to the mutual word of the user that hot value is high, during program making, the recommendation of material is combined with the hobby in real time of media subscriber, the real-time satisfaction of major part user can be met.
Description
Technical field
The present invention relates to broadcasting and TV technical field, particularly relate to a kind of media program material based on user's hot word and recommend method
And system.
Background technology
TV media is during program making, and made program is carried out perfect by related materials to be chosen, traditional
During program making, user can obtain related materials by media materials storehouse or Internet resources.
The former user can only obtain the limited material in material database, in use there is significant limitation, for
Some is not included material and is difficult to obtain；The latter is in the face of the Internet resources of magnanimity, and user is difficult to therefrom make choice, it is also difficult to
Obtain relatively reasonable material content.And the subjectivity of two kinds of methods is the strongest, it is impossible to meet big portion in terms of selection of materials
The hobby at demultiplexing family.
Summary of the invention
It is an object of the invention to provide media program material based on user's hot word and recommend method and system, make element
In the selection course of material, it is possible to want to combine with the hobby in real time of media subscriber, provide one to have for media worker ageing
, material based on hot word statistics recommends method.
For reaching above-mentioned purpose, on the one hand, the embodiment of the present invention provides a kind of media program material based on user's hot word
Recommendation method, including:
Obtain the user version that media produce time mutual with user；
This user version is carried out participle and obtains the mutual vocabulary of user, and add up each user in the mutual vocabulary of described user
The hot value of mutual word；
Screening in the mutual vocabulary of described user, hot value reaches predetermined threshold value and/or reaches the use of preset heat value ranking
The mutual word in family is as hot word；
Obtain the user version that before carrying out participle, described hot word is corresponding, and true according to the user version that described hot word is corresponding
Determine user's focus of attention；
Media program material is recommended according to described user's focus of attention.
Preferably, described described user version is carried out participle after also include:
Vocabulary mutual to the user obtained after participle carries out monosyllabic word filtration, so that individual character word is filtered out described user
Mutual vocabulary.
Preferably, described described user version is carried out participle after also include: mutual to the user obtained after participle
Vocabulary carries out meaningless word filtration, so that meaningless word to filter out the mutual vocabulary of described user.
Preferably, described described user version is carried out participle before, also include: proper noun is added to participle word
Storehouse.
On the other hand, the embodiment of the present invention provides a kind of media program material commending system based on user's hot word, including:
User version acquiring unit, for obtaining the user version that media produce time mutual with user；
Participle unit, obtains the mutual vocabulary of user for this user version is carried out participle, and it is mutual to add up described user
The hot value of the mutual word of each user in vocabulary；
Hot word screening unit, is used for screening in the mutual vocabulary of described user, and hot value reaches predetermined threshold value and/or reaches pre-
If the mutual word of the user of hot value ranking is as hot word；
Urtext matching unit, the user version that described hot word is corresponding before acquisition carries out participle, and according to institute
State user version corresponding to hot word and determine user's focus of attention；
Material recommendation unit, for recommending media program material according to described user's focus of attention.
Optionally, also include:
Individual character word filter element, for described described user version is carried out participle after, to obtain after participle
The mutual vocabulary of user carries out monosyllabic word filtration, so that individual character word to filter out the mutual vocabulary of described user.
Optionally, also include:
Meaningless word filter element, for described described user version is carried out participle after, to obtain after participle
The mutual vocabulary of user carries out meaningless word filtration, so that meaningless word to filter out the mutual vocabulary of described user.
Preferably, also include proper noun adding device, for proper noun being added to participle dictionary.
On the other hand, the embodiment of the present invention provides a kind of media program material to recommend method, including:
Obtain the user version that media produce time mutual with user；
This user version is carried out participle and obtains the mutual vocabulary of user, and add up each user in the mutual vocabulary of described user
The hot value of mutual word；
Media program material is recommended according to the mutual word of the user that hot value is high.
On the other hand, the embodiment of the present invention provides a kind of media program material commending system, including:
User version acquiring unit, for obtaining the user version that media produce time mutual with user；
Participle unit, obtains the mutual vocabulary of user for this user version is carried out participle, and it is mutual to add up described user
The hot value of the mutual word of each user in vocabulary；
Material recommendation unit, for recommending media program material according to the mutual word of the user that hot value is high.
Technique scheme has the advantages that adopts, by acquisition, user's literary composition that media produce time mutual with user
This, and carry out this user version participle and obtain the mutual vocabulary of user, and add up each user in the mutual vocabulary of described user and hand over
The hot value of word mutually；Media program material is recommended finally according to the mutual word of the user that hot value is high, during program making,
The recommendation of material is combined with the hobby in real time of media subscriber, the real-time satisfaction of major part user can be met.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet that a kind of media program material based on user's hot word of the embodiment of the present invention recommends method；
Fig. 2 is the structural representation of a kind of media program material commending system based on user's hot word of the embodiment of the present invention；
Fig. 3 is the schematic flow sheet that the embodiment of the present invention a kind of media program material recommends method；
Fig. 4 is the structural representation of the embodiment of the present invention a kind of media program material commending system.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
Embodiment one
Fig. 1 is the schematic flow sheet that a kind of media program material based on user's hot word of the embodiment of the present invention recommends method.
As it can be seen, the method comprises the following steps:
Step 101, obtains the user version that media produce time mutual with user；
Step 102, carries out this user version participle and obtains the mutual vocabulary of user, and add up in the mutual vocabulary of described user
The hot value of the mutual word of each user；
Step 105, screens in the mutual vocabulary of described user, and hot value reaches predetermined threshold value and/or reaches preset heat value
The mutual word of user of ranking is as hot word；
Step 106, obtains user version corresponding to described hot word before carrying out participle, and according to use corresponding to described hot word
Family text determines user's focus of attention；
Step 107, recommends media program material according to described user's focus of attention.
Optionally, step 102, also include after described user version is carried out participle:
Step 103, vocabulary mutual to the user obtained after participle carries out monosyllabic word filtration, to be filtered out by individual character word
The mutual vocabulary of described user.
Optionally, step 102, also include after described user version is carried out participle:
Step 104, vocabulary mutual to the user obtained after participle carries out meaningless word filtration, to be filtered by meaningless word
Go out the mutual vocabulary of described user.
The present embodiment is preferred, and there is the meaningless dictionary of a real-time update this locality, by mutual for user vocabulary, and Ke Yi
The word found in meaningless dictionary filters out.
Herein it should be noted that above step 103 and 104 is not the most essential option, it is embodied as the scheme of the present embodiment
Time, 103 and 104 can not be selected, can only select 103 or 104 1 steps, it is also possible to select 103 and 104 two steps simultaneously.
Preferably, before step 102, also include:
Proper noun is added to participle dictionary.
It should be noted that the monosyllabic word in proper noun can't filter away in the monosyllabic word of step 103 filters.
Proper noun also will not filter away in the meaningless word of step 104 filters.
When carrying out participle, first coupling participle dictionary in word, the word that can match is branched away, afterwards further according to
Remaining text is continued participle by word segmentation regulation.
When the proper noun that participle obtains is identical with the meaningless word in meaningless dictionary, this word is not filtered away.
Such as, when media and user are mutual, have a user version to relate to the topic of room rate, when carrying out participle, obtain room rate,
Economical, buy, rise, fall, probability, second-hand house, new house, down payment ratio, downward, the word such as Reserve Fund rate, corresponding hot value ranking is:
Room rate, down payment ratio, rise, fall, second-hand house, new house, downward, economy, Reserve Fund rate.
Wherein, " rising ", " falling ", " Reserve Fund rate ", in participle dictionary, belong to proper noun, it is impossible to " Reserve Fund " and
" rate " separately calculates two words, " rising " and " falling " can not be carried out participle with the combination of adjacent word；
After participle, first carry out individual character word filtration:
" buying " is individual character word, can be filtered in this step, and " rising " and " falling " belongs to proper noun, will not be filtered
Fall.
Secondly, meaningless word filtration is carried out:
In this text, the frequency that " probability " occurs is the highest, but it can not reflect particular problem, does not has practical significance,
Thus can be filtered in this step.
The present embodiment is preferred, it is not intended to justice dictionary is also real-time update, such as: attention rate is the highest, but there is no reality
The word of border meaning adds in meaningless dictionary.
Preset rank threshold be 5, then, before taking hot value ranking, the word of 5 is as hot word: room rate, down payment ratio, rise,
Fall, second-hand house.
The most above-mentioned text of user version that these 5 hot words are corresponding, its user's focus of attention embodied is room rate
Go up.Thus it is possible to recommend the material relevant with rising of housing price accordingly.
Embodiment two
Fig. 2 is a kind of media program material commending system based on user's hot word of the embodiment of the present invention, including:
User version acquiring unit 201, for obtaining the user version that media produce time mutual with user；
Participle unit 202, obtains the mutual vocabulary of user for this user version carries out participle, and adds up described user friendship
The hot value of the mutual word of each user in vocabulary mutually；
Hot word screening unit 205, is used for screening in the mutual vocabulary of described user, and hot value reaches predetermined threshold value and/or reaches
To the mutual word of user of preset heat value ranking as hot word；
Urtext matching unit 206, the user version that described hot word is corresponding before acquisition carries out participle, and according to
User version corresponding to described hot word determines user's focus of attention；
Material recommendation unit 207, for recommending media program material according to described user's focus of attention.
Optionally, also include:
Individual character word filter element 203, for described described user version is carried out participle after, obtain after participle
The mutual vocabulary of user carry out monosyllabic word filtration, individual character word to be filtered out the mutual vocabulary of described user.
Optionally, also include:
Meaningless word filter element 204, for described described user version is carried out participle after, obtain after participle
The mutual vocabulary of user carry out meaningless word filtration, meaningless word to be filtered out the mutual vocabulary of described user.
Herein it should be noted that above unit 203 and 204 is not the most essential structure, it is embodied as the side of the present embodiment
During case, 203 and 204 can not be selected, can only select 203 or 204 1 unit, it is also possible to select 203 and 204 two lists simultaneously
Unit.
Optionally, also include proper noun adding device, for proper noun being added to participle dictionary.
It should be noted that the monosyllabic word in proper noun can't be filtered out in individual character word filter element 203
Go.
Proper noun also will not be filtered out in meaningless word filter element 204.
When carrying out participle, first coupling participle dictionary in word, the word that can match is branched away, afterwards further according to
Remaining text is continued participle by word segmentation regulation.
When the proper noun that participle obtains is identical with the meaningless word in meaningless dictionary, this word is not filtered away.
Such as, when media and user are mutual, have a user version to relate to the topic of room rate, when carrying out participle, obtain room rate,
Economical, buy, rise, fall, probability, second-hand house, new house, down payment ratio, downward, the word such as Reserve Fund rate, corresponding hot value ranking is:
Room rate, down payment ratio, rise, fall, second-hand house, new house, downward, economy, Reserve Fund rate.
Wherein, " rising ", " falling ", " Reserve Fund rate ", in participle dictionary, belong to proper noun, it is impossible to " Reserve Fund " and
" rate " separately calculates two words, " rising " and " falling " can not be carried out participle with the combination of adjacent word；
After participle, first carry out individual character word filtration:
" buying " is individual character word, can be filtered in this step, and " rising " and " falling " belongs to proper noun, will not be filtered
Fall.
Secondly, meaningless word filtration is carried out:
In this text, the frequency that " probability " occurs is the highest, but it can not reflect particular problem, does not has practical significance,
Thus can be filtered in this step.
The present embodiment is preferred, it is not intended to justice dictionary is also real-time update, such as: attention rate is the highest, but there is no reality
The word of border meaning adds in meaningless dictionary.
Preset rank threshold be 5, then, before taking hot value ranking, the word of 5 is as hot word: room rate, down payment ratio, rise,
Fall, second-hand house.
The most above-mentioned text of user version that these 5 hot words are corresponding, its user's focus of attention embodied is room rate
Go up.Thus it is possible to recommend the material relevant with rising of housing price accordingly.
Embodiment three
Fig. 3 is the flow chart that a kind of media program material based on user's hot word of the embodiment of the present invention recommends method, including:
Step 301, obtains the user version that media produce time mutual with user；
Step 302, carries out this user version participle and obtains the mutual vocabulary of user, and add up in the mutual vocabulary of described user
The hot value of the mutual word of each user；
Step 303, recommends media program material according to the mutual word of the user that hot value is high.
For improving efficiency and accuracy, optionally, between step 302 and 303, need to carry out monosyllabic word and meaningless word
Filter.
Embodiment four
Fig. 4 is the structure chart of a kind of media program material commending system based on user's hot word of the embodiment of the present invention, including:
User version acquiring unit 401, for obtaining the user version that media produce time mutual with user；
Participle unit 402, obtains the mutual vocabulary of user for this user version carries out participle, and adds up described user friendship
The hot value of the mutual word of each user in vocabulary mutually；
Material recommendation unit 403, for recommending media program material according to the mutual word of the user that hot value is high.
For improving system effectiveness and accuracy, optionally, participle unit also needs to carry out individual character word filtration and be not intended to
Justice word filters.
Technique scheme has the advantages that because adopting the user version that media produce time mutual with user, and
This user version is carried out participle and obtains the mutual vocabulary of user, and add up the mutual word of each user in the mutual vocabulary of described user
Hot value；Media program material is recommended, during program making, by material finally according to the mutual word of the user that hot value is high
The hobby in real time of recommendation and media subscriber combine, the real-time satisfaction of major part user can be met.
Those skilled in the art are it will also be appreciated that the various illustrative components, blocks listed of the embodiment of the present invention
(illustrative logical block), unit, and step can pass through electronic hardware, computer software, or both knots
Conjunction realizes.For clearly showing that the replaceability (interchangeability) of hardware and software, above-mentioned various explanations
Property parts (illustrative components), unit and step the most universally describe their function.Such merit
Can be to realize depending on specifically applying the design requirement with whole system by hardware or software.Those skilled in the art
Can be for every kind of specific application, it is possible to use the function described in the realization of various methods, but this realization is understood not to
Scope beyond embodiment of the present invention protection.
Various illustrative logical block described in the embodiment of the present invention, or unit can pass through general processor,
Digital signal processor, special IC (ASIC), field programmable gate array or other programmable logic device, discrete gate
Or transistor logic, discrete hardware components, or the design of any of the above described combination realize or operate described function.General place
Reason device can be microprocessor, and alternatively, this general processor can also be any traditional processor, controller, microcontroller
Device or state machine.Processor can also realize by calculating the combination of device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors one Digital Signal Processor Core of associating, or any other like configuration
Realize.
It is soft that method described in the embodiment of the present invention or the step of algorithm can be directly embedded into hardware, processor performs
Part module or the combination of both.Software module can be stored in RAM memory, flash memory, ROM memory, EPROM storage
Other any form of storage medium in device, eeprom memory, depositor, hard disk, moveable magnetic disc, CD-ROM or this area
In.Exemplarily, storage medium can be connected with processor, so that processor can read information from storage medium, and
Write information can be deposited to storage medium.Alternatively, storage medium can also be integrated in processor.Processor and storage medium can
To be arranged in ASIC, ASIC can be arranged in user terminal.Alternatively, processor and storage medium can also be arranged at use
In different parts in the terminal of family.
In one or more exemplary designs, the above-mentioned functions described by the embodiment of the present invention can be at hardware, soft
The combination in any of part, firmware or this three realizes.If realized in software, these functions can store and computer-readable
On medium, or it is transmitted on the medium of computer-readable with one or more instructions or code form.Computer readable medium includes electricity
Brain stores medium and is easy to so that allowing computer program transfer to the telecommunication media in other place from a place.Storage medium is permissible
It is that any general or special computer can be with the useable medium of access.Such as, such computer readable media can include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage device, or other
What may be used for carrying or storage can be by general or special computer or general or special handling with other with instruction or data structure
Device reads the medium of the program code of form.Additionally, any connection can be properly termed computer readable medium, example
As, if software is by coaxial cable, fiber optic cables, double from a web-site, server or other remote resource
Twisted wire, Digital Subscriber Line (DSL) or with the wireless way for transmittings such as the most infrared, wireless and microwave be also contained in defined
In computer readable medium.Described video disc (disk) and disk (disc) include Zip disk, radium-shine dish, CD, DVD, floppy disk
And Blu-ray Disc, disk is generally with magnetic duplication data, and video disc generally carries out optical reproduction data with laser.Combinations of the above
Can also be included in computer readable medium.
Above-described detailed description of the invention, has been carried out the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, be it should be understood that the detailed description of the invention that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, all should comprise
Within protection scope of the present invention.
Claims (10)
1. a media program material based on user's hot word recommends method, it is characterised in that including:
Obtain the user version that media produce time mutual with user；
Described user version is carried out participle and obtains the mutual vocabulary of user, and add up each user friendship in the mutual vocabulary of described user
The hot value of word mutually；
Screening in the mutual vocabulary of described user, hot value reaches predetermined threshold value and/or reaches user's friendship of preset heat value ranking
Word is as hot word mutually；
Obtain the user version that before carrying out participle, described hot word is corresponding, and determine use according to the user version that described hot word is corresponding
The family focus of attention；
Media program material is recommended according to described user's focus of attention.
Method the most according to claim 1, it is characterised in that described described user version is carried out participle after also wrap
Include:
Vocabulary mutual to the user obtained after participle carries out monosyllabic word filtration, mutual so that individual character word is filtered out described user
Vocabulary.
Method the most according to claim 1, it is characterised in that described described user version is carried out participle after also wrap
Include: vocabulary mutual to the user obtained after participle carries out meaningless word filtration, meaningless word to be filtered out described user friendship
Vocabulary mutually.
Method the most according to claim 1, it is characterised in that described described user version is carried out participle before, also wrap
Include: proper noun is added to participle dictionary.
5. a media program material commending system based on user's hot word, it is characterised in that including:
User version acquiring unit, for obtaining the user version that media produce time mutual with user；
Participle unit, obtains the mutual vocabulary of user for described user version is carried out participle, and adds up the mutual word of described user
The hot value of the mutual word of each user in table；
Hot word screening unit, is used for screening in the mutual vocabulary of described user, and hot value reaches predetermined threshold value and/or reaches to preset heat
The mutual word of user of angle value ranking is as hot word；
Urtext matching unit, the user version that described hot word is corresponding before acquisition carries out participle, and according to described heat
The user version that word is corresponding determines user's focus of attention；
Material recommendation unit, for recommending media program material according to described user's focus of attention.
Method the most according to claim 5, it is characterised in that also include:
Individual character word filter element, for described described user version is carried out participle after, to the user obtained after participle
Mutual vocabulary carries out monosyllabic word filtration, so that individual character word to filter out the mutual vocabulary of described user.
System the most according to claim 5, it is characterised in that also include:
Meaningless word filter element, for described described user version is carried out participle after, to the user obtained after participle
Mutual vocabulary carries out meaningless word filtration, so that meaningless word to filter out the mutual vocabulary of described user.
System the most according to claim 1, it is characterised in that also include proper noun adding device, for by proprietary name
Word adds participle dictionary to.
9. a media program material recommends method, it is characterised in that including:
Obtain the user version that media produce time mutual with user；
This user version is carried out participle and obtains the mutual vocabulary of user, and it is mutual to add up each user in the mutual vocabulary of described user
The hot value of word；
Media program material is recommended according to the mutual word of the user that hot value is high.
10. a media program material commending system, it is characterised in that including:
User version acquiring unit, for obtaining the user version that media produce time mutual with user；
Participle unit, obtains the mutual vocabulary of user for this user version is carried out participle, and adds up the mutual vocabulary of described user
In the hot value of the mutual word of each user；
Material recommendation unit, for recommending media program material according to the mutual word of the user that hot value is high.
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Application publication date: 20161221 |