CN110413890A - A kind of method that news recommender system polymerization news is presented - Google Patents
A kind of method that news recommender system polymerization news is presented Download PDFInfo
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- 238000006116 polymerization reaction Methods 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 title claims description 20
- 238000012545 processing Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 5
- 238000005314 correlation function Methods 0.000 claims abstract description 4
- 238000011156 evaluation Methods 0.000 claims abstract description 3
- 238000012216 screening Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000007405 data analysis Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000013499 data model Methods 0.000 claims description 5
- 238000003860 storage Methods 0.000 claims description 5
- 238000003058 natural language processing Methods 0.000 claims description 4
- 230000000295 complement effect Effects 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
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- 230000014759 maintenance of location Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
- 238000013473 artificial intelligence Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- 238000002360 preparation method Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
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- 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
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Abstract
The present invention relates to news recommended technology fields, especially a kind of system that news recommender system polymerization news is presented, including search engine module, described search engine modules include Web site News Resources module and Internet news module, described search engine modules signal is connected with resource processing module, by being transferred to individualized fit module after being handled data resource, it is attached in such a way that signal connects between user data acquisition unit and user data modeling module simultaneously, the individualized fit module includes CPU module, data detection module is respectively arranged with by CPU module, user object evaluation module, correlation function computing module and user interest matching module, the user interest matching module is attached in such a way that signal connects in user terminal.The present invention can carry out the concentration push of news for the hobby of user, effectively raise the reading experience of user.
Description
Technical field
The present invention relates to the sides that news recommended technology field more particularly to a kind of news recommender system polymerization news are presented
Method.
Background technique
Increasingly developed with the network technology, people are increasingly enhanced the acquisition wish of information, but new on existing market
Hearing recommender system can not targetedly be pushed according to the personal hobby of user and the type of viewing news, so that
User needs to take time removal search news, does not improve the reading experience of user, therefore be unfavorable for promoting.
Summary of the invention
The purpose of the present invention is to solve disadvantages existing in the prior art, and a kind of news recommender system proposed is poly-
Close the method that news is presented.
To achieve the goals above, present invention employs following technical solutions:
Design a kind of system that news recommender system polymerization news is presented, including search engine module, described search engine
Module includes Web site News Resources module and Internet news module, and described search engine modules signal is connected with Energy Resources Service
Module is managed, by being transferred to individualized fit module after being handled data resource, individualized fit cell signal is connected to
On user terminal, while user's end signal is connected with user data acquisition module, while user data acquisition unit and user data
It is attached in such a way that signal connects between modeling module, while user data modeling module and user model generation module
It connects in such a way that signal connects, and is connected with each other between user model generation module and individualized fit module, described
Property matching module includes CPU module, is respectively arranged with data detection module, user by CPU module
Object evaluation module, correlation function computing module and user interest matching module, the user interest matching module is in user
End is attached in such a way that signal connects.
Preferably, the resource processing module includes central controller module, the central controller module, and is passed through
Centre controller module is respectively arranged with search data module, filtering data module, data analysis module and result output module,
It is connected in such a way that signal connects between result output module and individualized fit module simultaneously.
Preferably, the filtering data module includes intelligent chip module, is respectively set by the intelligent chip module
There are natural language processing unit, artificial intelligence module, probability statistics module and data accumulating module.
Preferably, the user data modeling module includes data reception module, by data reception module to number of users
It is collected according to the module being collected into acquisition module, and the data being collected into is transferred to E-R emulation module and are handled,
E-R data model is established, while the data that the model of foundation generates being transferred in paragraph data storage bank and are stored.
Preferably, the user data acquisition module includes signal conversion module, will be by user by signal conversion module
The optical signal that end transmitting comes is converted to electric signal, in being transferred to internal processor module, while in built-in processor module
Support is arranged with data screening module, is quickly screened to data.
The present invention also provides the methods that a kind of news recommender system polymerization news is presented, and specifically comprise the following steps:
The acquisition of S1, data；
The processing of S2, data: collected data are transferred to central controller module in S1, and pass through central controller mould
The search data module being arranged inside block scans for resource, meanwhile, complement filter data module screens data, and
Data after screening analyze data by data analysis module, are transferred to personalization finally by result output module
In matching module；
The matching of S3, data: it after S2 is to data processing, is passed in CPU module, by means of central processing
The incremental data that device module watches news type and news to user records, and comments the hobby of user
Estimate, the News Resources for meeting user interest are screened and pushed；
The storage of S4, data.
Preferably, the acquisition of the S1 data specifically include by central controller module to from Web site news
The news in news and Internet news module in resource module is scanned for and is acquired.
Preferably, the storage of the data of the S4 is specifically included in the data generated to user when watching news and stores up
It deposits, and is concentrated after being screened to the hobby of the news type of viewing and user itself by establishing E-R data model
Push, meets the requirement of user.
The method that a kind of news recommender system polymerization news proposed by the present invention is presented, beneficial effect are: the news pushes away
The method for recommending the presentation of systematic polymerization news can be collected and classify to the news on website and network, be directed to simultaneously
The hobby of user pushes news identical with its hobby to save the query time of user and improves viewing
The efficiency of news.
Detailed description of the invention
Fig. 1 is the system block diagram that a kind of news recommender system proposed by the present invention polymerize the method that news is presented.
Fig. 2 is that resource processing module that a kind of news recommender system proposed by the present invention polymerize the method that news is presented is
System block diagram.
Fig. 3 is the individualized fit module that a kind of news recommender system proposed by the present invention polymerize the method that news is presented
System block diagram.
Fig. 4 is the user data acquisition module that a kind of news recommender system proposed by the present invention polymerize the method that news is presented
System block diagram.
Fig. 5 is the user data modeling module that a kind of news recommender system proposed by the present invention polymerize the method that news is presented
System block diagram.
Fig. 6 is that filtering data module that a kind of news recommender system proposed by the present invention polymerize the method that news is presented is
System block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Referring to Fig.1-6, a kind of system that news recommender system polymerization news is presented, including search engine module, search are drawn
Holding up module includes Web site News Resources module and Internet news module, and search engine module signal is connected with resource processing
Module, by being transferred to individualized fit module after being handled data resource, individualized fit cell signal is connected to use
On the end of family, while user's end signal is connected with user data acquisition module, while user data acquisition unit is built with user data
It is attached in such a way that signal connects between mould module, while user data modeling module and user model generation module are logical
The mode for crossing signal connection connects, and is connected with each other between user model generation module and individualized fit module, and personalized
Include CPU module with module, data detection module is respectively arranged with by CPU module, user object is commented
Estimate module, correlation function computing module and user interest matching module, user interest matching module passes through signal in user terminal
The mode of connection is attached, the data that data detection module generates user when watching news detect, and is passed through
Hobby of the central processor module to user and the hobby type to news are assessed, and meet interest so as to push
The news content of hobby.
Resource processing module includes central controller module, central controller module, and passes through central controller module point
It is not provided with search data module, filtering data module, data analysis module and result output module, while result exports mould
It is connected in such a way that signal connects between block and individualized fit module, filtering data module includes intelligent chip module, is led to
It crosses intelligent chip module and is respectively arranged with natural language processing unit, artificial intelligence module, probability statistics module and data note
Recall module, user data modeling module includes data reception module, by data reception module in user data acquisition module
The module being collected into is collected, and the data being collected into are transferred to E-R emulation module and are handled, and establishes E-R data
Model, while the data that the model of foundation generates being transferred in paragraph data storage bank and are stored, user data acquires mould
Block includes signal conversion module, by signal conversion module, by by user terminal transmitting Lai optical signal be converted to electric signal, passing
Be handed in internal processor module, while being arranged with data screening module in the support of built-in processor module, to data into
Row quickly screening, natural language processing unit enable to user to carry out the type of inquiry news by voice, cooperate simultaneously
Artificial intelligence module is more light to the inquiry of news, thus the effective solution difficulty of language obstacle, while playing fast
Check the effect ask quickly, it being capable of type to the news of user query and a by probability statistics module and data accumulating module
The hobby of people records, and by the data feedback to individualized fit module, after individualized fit module receives data, needle
The news push that the personal preference of client is directed to.
The present invention also provides the methods that a kind of news recommender system polymerization news is presented, and specifically comprise the following steps:
The acquisition of S1, data；By to central controller module to the news in Web site News Resources module with
And the news in Internet news module is scanned for and is acquired；
The processing of S2, data: collected data are transferred to central controller module in S1, and pass through central controller mould
The search data module being arranged inside block scans for resource, meanwhile, complement filter data module screens data, and
Data after screening analyze data by data analysis module, are transferred to personalization finally by result output module
In matching module；
The matching of S3, data: it after S2 is to data processing, is passed in CPU module, by means of central processing
The incremental data that device module watches news type and news to user records, and comments the hobby of user
Estimate, the News Resources for meeting user interest are screened and pushed；
The storage of S4, data: it is stored in the data generated to user when watching news, and by establishing E-R number
Push is concentrated after screening according to hobby of the model to the news type of viewing and user itself, meets wanting for user
It asks.
The advantages of this method is the news on website and network is collected and be classified, and is directed to simultaneously
The hobby of user pushes news identical with its hobby to save the query time of user and improves viewing
The efficiency of news.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (8)
1. a kind of system that news recommender system polymerization news is presented, including search engine module, which is characterized in that described search
Engine modules include Web site News Resources module and Internet news module, and described search engine modules signal is connected with money
Source processing module, by being transferred to individualized fit module after being handled data resource, individualized fit cell signal connects
It connects on user terminal, while user's end signal is connected with user data acquisition module, while user data acquisition unit and user
It is attached in such a way that signal connects between data modeling module, while user data modeling module and user model generate
Module connects in such a way that signal connects, and is connected with each other between user model generation module and individualized fit module, institute
Stating individualized fit module includes CPU module, by CPU module be respectively arranged with data detection module,
User object evaluation module, correlation function computing module and user interest matching module, the user interest matching module in
User terminal is attached in such a way that signal connects.
2. the system that a kind of news recommender system polymerization news according to claim 1 is presented, which is characterized in that the money
Source processing module includes central controller module, the central controller module, and is respectively set by central controller module
Have a search data module, filtering data module, data analysis module and result output module, at the same result output module and
Property matching module between signal connect by way of connect.
3. the system that a kind of news recommender system polymerization news according to claim 2 is presented, which is characterized in that the mistake
Filter data module includes intelligent chip module, is respectively arranged with natural language processing unit, people by the intelligent chip module
Work intelligent object, probability statistics module and data accumulating module.
4. the system that a kind of news recommender system polymerization news according to claim 1 is presented, which is characterized in that the use
User data modeling module includes data reception module, by data reception module to the mould being collected into user data acquisition module
Block is collected, and the data being collected into are transferred to E-R emulation module and are handled, and establishes E-R data model, simultaneously will
The data that the model of foundation generates, which are transferred in paragraph data storage bank, to be stored.
5. the system that a kind of news recommender system polymerization news according to claim 1 is presented, which is characterized in that the use
User data acquisition module includes signal conversion module, by signal conversion module, by by user terminal transmitting Lai optical signal convert
For electric signal, data screening is arranged in being transferred to internal processor module, while in the support of built-in processor module
Module quickly screens data.
6. a kind of method that the polymerization of news recommender system described in -5 according to claim 1 news is presented, which is characterized in that specific
Include the following steps:
The acquisition of S1, data；
The processing of S2, data: collected data are transferred to central controller module in S1, and by central controller module
The search data module of portion's setting scans for resource, meanwhile, complement filter data module screens data, and to sieve
Data after choosing analyze data by data analysis module, are transferred to individualized fit finally by result output module
In module；
The matching of S3, data: it after S2 is to data processing, is passed in CPU module, by means of central processing unit mould
The incremental data that block watches news type and news to user records, and assesses the hobby of user, will
The News Resources for meeting user interest are screened and are pushed；
The storage of S4, data.
7. the method that a kind of news recommender system polymerization news according to claim 6 is presented, which is characterized in that the S1
The acquisition of data specifically include by central controller module to the news and net in Web site News Resources module
News in network news template is scanned for and is acquired.
8. the method that a kind of news recommender system polymerization news according to claim 6 is presented, which is characterized in that the S4
The storages of data be specifically included in the data generated to user when watching news and store, and by establishing E-R data
Model concentrates push after screening to the hobby of the news type of viewing and user itself, meets the requirement of user.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111125133A (en) * | 2019-12-19 | 2020-05-08 | 武汉玉璧互联科技有限公司 | Sports event data statistics method and system |
| CN111143688A (en) * | 2019-12-31 | 2020-05-12 | 南京新一代人工智能研究院有限公司 | Evaluation method and system based on mobile news client |
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| CN106202131A (en) * | 2015-05-08 | 2016-12-07 | 蔡奇 | A kind of news based on user interest recommends method |
| WO2017128059A1 (en) * | 2016-01-26 | 2017-08-03 | 白宏伟 | User preference-based automatic video pushing method, and pushing system |
| CN107562939A (en) * | 2017-09-21 | 2018-01-09 | 深圳市傲天科技股份有限公司 | Vertical domain news recommendation method and device and readable storage medium |
-
2019
- 2019-07-29 CN CN201910689902.3A patent/CN110413890A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106202131A (en) * | 2015-05-08 | 2016-12-07 | 蔡奇 | A kind of news based on user interest recommends method |
| WO2017128059A1 (en) * | 2016-01-26 | 2017-08-03 | 白宏伟 | User preference-based automatic video pushing method, and pushing system |
| CN107562939A (en) * | 2017-09-21 | 2018-01-09 | 深圳市傲天科技股份有限公司 | Vertical domain news recommendation method and device and readable storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111125133A (en) * | 2019-12-19 | 2020-05-08 | 武汉玉璧互联科技有限公司 | Sports event data statistics method and system |
| CN111143688A (en) * | 2019-12-31 | 2020-05-12 | 南京新一代人工智能研究院有限公司 | Evaluation method and system based on mobile news client |
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Application publication date: 20191105 |
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