CN103324637B - A kind of hot information method for digging and system - Google Patents
A kind of hot information method for digging and system Download PDFInfo
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- CN103324637B CN103324637B CN201210079091.3A CN201210079091A CN103324637B CN 103324637 B CN103324637 B CN 103324637B CN 201210079091 A CN201210079091 A CN 201210079091A CN 103324637 B CN103324637 B CN 103324637B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000010606 normalization Methods 0.000 claims description 5
- 238000005065 mining Methods 0.000 abstract description 5
- 238000012545 processing Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000012937 correction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000009394 selective breeding Methods 0.000 description 1
- 238000011524 similarity measure Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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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
Abstract
Embodiment of the present invention proposes a kind of hot information method for digging and system.Method includes：The relative hot value between Intelligence Page source is calculated according to the access times in Intelligence Page source；Each information of reprinting is calculated according to the relative hot value in Intelligence Page source and is reprinting the reprinting weight in having the Intelligence Page source of the reprinting information；Reprinting weight of each reprinting information in each Intelligence Page source is summed, calculates the heatrate value of each reprinting information, and hot information is determined from each reprinting information according to heatrate value size order.Embodiment of the present invention can automatically generate hot information from whole internet based on the heatrate value for reprinting information, therefore information pushing efficiency can be improved, saves artificial and reduces cost, and can dynamically eliminate website inferior, strengthen high-quality website so that Mining Quality is continued to optimize.
Description
Technical field
Embodiment of the present invention is related to technical field of internet application, more particularly, to a kind of hot information excavation side
Method and system.
Background technology
With the rapid development of computer technology and network technology, internet (Internet) daily life,
The effect played in study and work is also increasing.People get used to by a variety of ways such as portal website, news search websites
Know Internet news in footpath.
Internet news is the news using network as carrier, have it is quick, many-sided, by all kinds of means, multimedia, the spy such as interaction
Point.Internet news is to break through traditional dissemination of news concept, depending on, listen, experience brand-new to audient in terms of sense.It is by disordering
News carry out orderly integration, and greatly reduced the thickness of information, allowed people to be obtained within the most short time most effective
News information.Moreover, following Internet news will be limited no longer by traditional news media publisher, and audient can issue certainly
Oneself news, and obtain propagate faster in a short time, and news is by as the platform of people's interaction.Internet news
By as the raising that people recognize is towards deeper level development, this will overturn the traditional concept of Internet news completely.
At present, most of portal website, or news search website all can select some hot informations to be placed on homepage, with guiding
User reads.For example news category can be divided into the classification such as domestic, international, amusement, then in these points by some portal websites
Hot news is provided in class to guide user to read.
However, such hot information is generally by editor's artificial selection, or comprehensive some portal websites
Homepage article and generate.The information pushing efficiency of such hot information is low, and information providing formula waste of manpower, and
And carry larger subjective factor.
Meanwhile in currently available technology, the selection range of news can only be confined to some authoritative websites, therefore data are selected
Take scope smaller, it is impossible to ensure the accurate hit rate of hot information.
The content of the invention
Embodiment of the present invention proposes a kind of hot information method for digging, to automatically generate hot information, so as to improve letter
Cease pushing efficiency.
Embodiment of the present invention also proposes a kind of hot information digging system, to automatically generate hot information, so as to improve
Information pushing efficiency.
The concrete scheme of embodiment of the present invention is as follows：
A kind of hot information method for digging, this method include：
The relative hot value between Intelligence Page source is calculated according to the access times in Intelligence Page source；
There is the Information Network of the reprinting information in reprinting according to each reprinting information of the relative hot value in Intelligence Page source calculating
Reprinting weight in page source；
Reprinting weight of each reprinting information in each Intelligence Page source is summed, calculates each reprinting information
Heatrate value, and according to described information hot value size order from it is described reprinting information in determine hot information.
A kind of hot information digging system, the system include：
With respect to hot value computing unit, for calculating the phase between Intelligence Page source according to the access times in Intelligence Page source
To hot value；
Weight calculation unit is reprinted, is being reprinted for calculating each information of reprinting according to the relative hot value in Intelligence Page source
There is the reprinting weight in the Intelligence Page source of the reprinting information；
Hot information determining unit, for asking reprinting weight of each reprinting information in each Intelligence Page source
With, the heatrate value of each reprinting information is calculated, and according to described information hot value size order from the reprinting information
In determine hot information.
It can be seen from the above technical proposal that in embodiments of the present invention, first according to the access in Intelligence Page source time
Number calculates the relative hot value between Intelligence Page source；Then each reprint is calculated according to the relative hot value in Intelligence Page source to believe
Cease and reprinting the reprinting weight in having the Intelligence Page source of the reprinting information；And the reprinting weight of each reprinting information is asked
With, calculate it is each reprinting information heatrate value, according still further to heatrate value size order from reprint information in determine
Go out hot information.As can be seen here, can be from whole internet based on the letter for reprinting information after using embodiment of the present invention
Breath hot value automatically generates hot information, therefore can improve information pushing efficiency.
Brief description of the drawings
Fig. 1 is the hot information method for digging schematic flow sheet according to embodiment of the present invention；
Fig. 2 is the hot information method for digging system schematic according to embodiment of the present invention；
Fig. 3 is the exemplary hot information mining process schematic diagram according to embodiment of the present invention；
Fig. 4 is the reprinting information recognition result schematic diagram according to embodiment of the present invention；
Fig. 5 is to show schematic diagram according to the hot information of embodiment of the present invention.
Embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made below in conjunction with the accompanying drawings further
Detailed description.
In embodiments of the present invention, using each Intelligence Page source as voter, information is reprinted as ballot using every
Subject matter, the weight using the popular degree in each Intelligence Page source as ballot.Pass through the throwing of every reprinting information of COMPREHENSIVE CALCULATING
Ticket score, the reprinting information to make a good score regard as hot information, and before coming, simultaneously, it is contemplated that dissemination of news needs the time,
Correction factor, correction ballot score, so as to obtain temperature ranking to the end can be used as by the use of the issuing time for reprinting information.
Fig. 1 is the hot information method for digging schematic flow sheet according to embodiment of the present invention.
As shown in figure 1, this method includes：
Step 101：The relative hot value between Intelligence Page source is calculated according to the access times in Intelligence Page source.
Herein, can by the access log of hot information in Intelligence Page source and the access log of other news,
Calculate the access temperature in each Intelligence Page source.Such as by access times described in the access log of hot information and
Described access times are added in the access log of other news, the access times as Intelligence Page source.
Preferably, Intelligence Page source can be various types of news websites.
The access temperature for calculating Intelligence Page source can have a variety of calculations, and its principle is：Intelligence Page source
Access times are more, and the relative hot value in the Intelligence Page source should be higher.Such as：
For k-th of Intelligence Page source, it is calculated with respect to hot value SiteHotnessk, wherein：
Wherein norm is normalization coefficient；AccessCountkFor the access times in k-th of Intelligence Page source, K is all
The set in Intelligence Page source.
Such as：Assuming that A is acquired in some search engine, the news of tri- information web page sources of B, C, it is assumed that this three information
Web page source is respectively 50,20,30 in the access times (AccessCount) of search engine.
Then website C temperature SiteHotnessC=norm* (log (30)/log (50+20+30))；
Website B temperature SiteHotnessB=norm* (log (20)/log (50+20+30))；
Website A temperature SiteHotnessA=norm* (log (50)/log (50+20+30)).
The truth of a matter in above-mentioned logarithm can be 10, or e.So as to ensure website A temperature SiteHotnessAGreatly
In then website C temperature SiteHotnessC, and website C temperature SiteHotnessCMore than website B temperature
SiteHotnessB。
Wherein, corresponding change or adjustment can be made according to specific experience in the application, norm specific value.
Step 102：Calculate each information of reprinting according to the relative hot value in Intelligence Page source has the reprinting information in reprinting
Intelligence Page source in reprinting weight.
Herein, can the similarity algorithm based on text feature determined from each Intelligence Page source it is described reprint letter
Breath.The papers published of news is identified by the similarity algorithm based on text feature, that is, identifies which news belongs to same
The reprinting of piece news.
Preferably, time factor further can be determined according to each issuing time for reprinting information, and utilizes the time
The each heatrate value of factor pair is modified.Exemplarily, the reproduced time of information will can also be reprinted as time factor.
Such as：For i-th of reprinting information, its heatrate value NewsHotness is calculatedi；
Wherein：
CitationHotnessk=g (SiteHotnessk)；
Wherein K is the set in all Intelligence Page sources for reprinting this i-th reprinting information；PublishTime for this i-th
The individual issuing time for reprinting information；F (PublishTime) is the time tune weight function on PublishTime,
CitationHotnesskInformation is reprinted in k-th of reprinting reprinted in having the Intelligence Page source of the reprinting information for this i-th
Weight, g (SiteHotnessk) it is on SiteHotnesskTemperature adjust weight function.
Time adjusts weight function f (PublishTime) to be used to ensure heatrate value NewsHotnessiTimeliness n.Generally
For, issuing time PublishTime should be got over closer to current time, then time tune weight function f (PublishTime) value
Greatly.
Time adjusts weight function f (PublishTime) concrete functional form to have numerous embodiments, can be linear
Or it is nonlinear.As long as meeting issuing time PublishTime closer to current time, then the time adjust weight function f
(PublishTime) value should be bigger (so as to ensure heatrate value NewsHotnessiValue can be bigger) it is substantially former
Then, embodiment of the present invention to f (PublishTime) concrete functional form and is not limited.
g(SiteHotnessk) it is that temperature adjusts weight function, for ensureing to reprint weight CitationHotnesskQuality refer to
Mark.Typically, the relative hot value SiteHotness of some websiteskHigher, then it reprints weight CitationHotnessk
Value should be bigger.
Similarly, temperature adjusts weight function g (SiteHotnessk) concrete functional form can have numerous embodiments, can
To be linear or nonlinear.Substantially, as long as meeting the relative hot value SiteHotness of websitekIt is higher,
Then temperature adjusts weight function CitationHotnesskThe bigger basic principle of value, embodiment of the present invention is to f
(PublishTime) concrete functional form is simultaneously not limited.
Step 103：Reprinting weight of each reprinting information in each Intelligence Page source is summed, calculated each
The heatrate value of information is reprinted, and determines that focus is believed from the reprinting information according to described information hot value size order
Breath.
Herein, the reprinting weight of each reprinting information is summed, so as to calculate the information of each reprinting information
Hot value fraction, after can then proceed in height sequence, suitable news bar number is selected to be showed.
For example it can be set in advance as showing 10 hot informations.So sorted according to height to each reprinting information
Heatrate value point be ranked up after, select 10 news bar numbers to be showed as hot information from high to low.
Preferably, in embodiments of the present invention, can also first all news categories, such as be divided into it is domestic, international,
Amusement etc., then excavate the hot information in each classification using embodiment of the present invention in specific classified news.
Based on above-mentioned analysis, embodiment of the present invention also proposed a kind of hot information digging system.
Fig. 2 is the hot information method for digging system schematic according to embodiment of the present invention.
As shown in Fig. 2 the system includes relative hot value computing unit 201, reprints weight calculation unit 202 and focus letter
Cease determining unit 203.
Wherein：
With respect to hot value computing unit 201, for according between the access times in Intelligence Page source calculating Intelligence Page source
Relative hot value；
Weight calculation unit 202 is reprinted, is existed for calculating each information of reprinting according to the relative hot value in Intelligence Page source
Reprint the reprinting weight having in the Intelligence Page source of the reprinting information；
Hot information determining unit 203, for entering to reprinting weight of each reprinting information in each Intelligence Page source
Row summation, the heatrate value of each reprinting information is calculated, and according to described information hot value size order from the reprinting
Hot information is determined in information.
Preferably, hot information determining unit 203, when being further used for being determined according to each issuing time for reprinting information
Between the factor, and each heatrate value is modified using the time factor.
Preferably, weight calculation unit 202, it is further used for based on the similarity algorithm of text feature from each Information Network
Page determines the reprinting information in source.
In one embodiment, with respect to hot value computing unit 201, for for k-th of Intelligence Page source, calculating it
With respect to hot value SiteHotnessk, wherein：
Wherein norm is normalization coefficient；AccessCountkFor the access times in k-th of Intelligence Page source, K is all
The set in Intelligence Page source.
In one embodiment, weight calculation unit 202, for for i-th of reprinting information, calculating its heatrate
Value NewsHotnessi；
CitationHotnessk=g (SiteHotnessk)；
Wherein K is the set in all Intelligence Page sources for reprinting this i-th reprinting information；PublishTime for this i-th
The individual issuing time for reprinting information；F (PublishTime) is the time tune weight function on PublishTime,
CitationHotnesskInformation is reprinted in k-th of reprinting reprinted in having the Intelligence Page source of the reprinting information for this i-th
Weight, g (SiteHotnessk) it is on SiteHotnesskTemperature adjust weight function.
Similarly, the time adjusts weight function f (PublishTime) to be used to ensure heatrate value NewsHotnessiIt is stylish
Property.Typically, issuing time PublishTime is closer to current time, then the time adjust weight function f's (PublishTime)
Value should be bigger.
Time adjusts weight function f (PublishTime) concrete functional form to have numerous embodiments, can be linear
Or it is nonlinear.As long as meeting issuing time PublishTime closer to current time, then the time adjust weight function f
(PublishTime) value should be bigger basic principle, specific function of the embodiment of the present invention to f (PublishTime)
Form is simultaneously not limited.
g(SiteHotnessk) it is that temperature adjusts weight function, for ensureing to reprint weight CitationHotnesskQuality refer to
Mark.Typically, the relative hot value SiteHotness of some websiteskHigher, then it reprints weight CitationHotnessk
Value should be bigger.
Similarly, temperature adjusts weight function g (SiteHotnessk) concrete functional form can have numerous embodiments, can
To be linear or nonlinear.Substantially, as long as meeting the relative hot value SiteHotness of websitekIt is higher,
Then temperature adjusts weight function CitationHotnesskThe bigger basic principle of value, embodiment of the present invention is to f
(PublishTime) concrete functional form is simultaneously not limited.
In one embodiment, the system further comprises hot information display unit 204.Hot information display unit
204, for showing the hot information determined from reprinting information.For example hot information display unit 204 can be advance
It is arranged to show 10 hot informations；After being ranked up according to height sequence to the heatrate value point of each reprinting information,
10 news bar numbers are selected to be showed as hot information from high to low.
Hot news can be excavated from numerous news sources of internet according to embodiment of the present invention.Based on above-mentioned
Labor, Fig. 3 are the exemplary hot news mining process schematic diagram according to embodiment of the present invention.
As shown in figure 3, at processing block 1, from the numerous news sources (such as news website) for coming from internet from crawl
Go out magnanimity news, and identify the specific papers published of news, that is, identify which news belongs to turning for same piece news
Carry.
Such as：Specific identification technology herein can use the Similarity Measure based on text feature.
Exemplarily, Fig. 4 is the reprinting news recognition result schematic diagram according to embodiment of the present invention.
Figure 4 illustrates " China's Software Market in 2015 be expected to up to 71,500,000,000 yuan " from different messages source it is new
Hear, be actually the reprinting news of same news.
In processing block 2, pass through the hot news access log to numerous news websites and the access day of other news
Will, calculate the relative hot value (accessing temperature) of each news website.
The relative hot value computational methods of each website are as follows：
Wherein K is the collection of all websites
Close, norm is normalization coefficient, and AccessCount is the access times of each news website.
In processing block 3, the issuing time and processing block 2 of reprinting recognition result, reprinting news with reference to processing block 1 are counted
The relative hot value of each news website calculated.
Such as：Such as：For i-th of reprinting news, its news hot value NewsHotness is calculatedi；
Wherein：
CitationHotnessk=g (SiteHotnessk)；
Wherein K is the set of all news websites for reprinting this i-th reprinting news；PublishTime is this i-th
Reprint the issuing time of news；F (PublishTime) is the time tune weight function on PublishTime,
CitationHotnesskNews is reprinted in k-th of the reprinting power reprinted in having the news website of the reprinting news for this i-th
Weight, g (SiteHotnessk) it is on SiteHotnesskTemperature adjust weight function.
Time adjusts weight function f (PublishTime) to be used to ensure news hot value NewsHotnessiTimeliness n.Generally
For, issuing time PublishTime should be got over closer to current time, then time tune weight function f (PublishTime) value
Greatly.
Time adjusts weight function f (PublishTime) concrete functional form to have numerous embodiments, can be linear
Or it is nonlinear.As long as meeting issuing time PublishTime closer to current time, then the time adjust weight function f
(PublishTime) value should be bigger basic principle, specific function of the embodiment of the present invention to f (PublishTime)
Form is simultaneously not limited.
In processing block 4, hot news is determined according to the result of calculation of processing block 3, and pass through microblogging, webpage, electronics
Hot news is pushed to user by the various ways such as mail.After determining hot news, hot news can be stored in focus
In news access log, consequently facilitating the backtracking of user at any time accesses.
Such as：Fig. 5 is to show schematic diagram according to the hot information of embodiment of the present invention.Moreover, embodiment of the present invention
It is preferred that the specific source of the hot information is shown in result is pushed.
In embodiments of the present invention, the phase between Intelligence Page source is calculated according to the access times in Intelligence Page source first
To hot value；Then there is the letter of the reprinting information in reprinting according to each reprinting information of the relative hot value in Intelligence Page source calculating
Cease the reprinting weight in web page source；And the reprinting weight of each reprinting information is summed, calculate each reprinting information
Heatrate value, hot information is determined from reprinting information according still further to the size order of heatrate value.As can be seen here, apply
After embodiment of the present invention, focus letter can be automatically generated based on the heatrate value for reprinting information from whole internet
Breath, therefore can save manually and reduce cost.
Moreover, embodiment of the present invention can also support any number of hot news to show demand, and base can be supported
In the calculating of whole internet news, and by the automatic mining of technorati authority, website inferior can be dynamically eliminated, is strengthened high-quality
Website so that Mining Quality is continued to optimize.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements made etc., the protection of the present invention should be included in
Within the scope of.
Claims (12)
1. a kind of hot information method for digging, it is characterised in that this method includes：
The relative hot value between Intelligence Page source is calculated according to the access times in Intelligence Page source；
There is the Intelligence Page source of the reprinting information in reprinting according to each reprinting information of the relative hot value in Intelligence Page source calculating
In reprinting weight；Wherein, the relative hot value in Intelligence Page source is higher, and the reprinting for reprinting information in described information web page source is weighed
It is again bigger；
Reprinting weight of each reprinting information in each Intelligence Page source is summed, calculates the letter of each reprinting information
Hot value is ceased, and hot information is determined from the reprinting information according to described information hot value size order.
2. hot information method for digging according to claim 1, it is characterised in that this method further comprises：According to every
The individual issuing time for reprinting information determines time factor, and each described information hot value is repaiied using the time factor
Just.
3. hot information method for digging according to claim 1, it is characterised in that this method further comprises：Based on text
The similarity algorithm of eigen determines the reprinting information from each Intelligence Page source.
4. hot information method for digging according to claim 1, it is characterised in that
It is described to calculate the relative hot value between Intelligence Page source according to the access times in Intelligence Page source and be：
For k-th of Intelligence Page source, it is calculated with respect to hot value SiteHotnessk, wherein：
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Wherein norm is normalization coefficient；AccessCountkFor the access times in k-th of Intelligence Page source, K is all Information Networks
The set in page source.
5. hot information method for digging according to claim 1, it is characterised in that the calculating heatrate value includes：
For i-th of reprinting information, its heatrate value NewsHotness is calculatedi；
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CitationHotnessk=g (SiteHotnessk)；
Wherein K is the set in all Intelligence Page sources for reprinting this i-th reprinting information；PublishTime is this i-th turn
The issuing time of information carrying breath；F (PublishTime) is the time tune weight function on PublishTime,
CitationHotnesskInformation is reprinted in k-th of reprinting reprinted in having the Intelligence Page source of the reprinting information for this i-th
Weight, g (SiteHotnessk) it is on SiteHotnesskTemperature adjust weight function.
6. the hot information method for digging according to any one of claim 1-5, it is characterised in that this method is further wrapped
Include：
Show the hot information determined from reprinting information.
7. a kind of hot information digging system, it is characterised in that the system includes：
With respect to hot value computing unit, for calculating the relative thermal between Intelligence Page source according to the access times in Intelligence Page source
Angle value；
Weight calculation unit is reprinted, has this in reprinting for calculating each information of reprinting according to the relative hot value in Intelligence Page source
Reprint the reprinting weight in the Intelligence Page source of information；Wherein, the relative hot value in Intelligence Page source is higher, reprints information in institute
The reprinting weight for stating Intelligence Page source is bigger；
Hot information determining unit, for being summed to reprinting weight of each reprinting information in each Intelligence Page source,
The heatrate value of each reprinting information is calculated, and is reprinted according to described information hot value size order from described in information really
Make hot information.
8. hot information digging system according to claim 7, it is characterised in that hot information determining unit, further
For determining time factor according to each issuing time for reprinting information, and using the time factor to each information heat
Angle value is modified.
9. hot information digging system according to claim 7, it is characterised in that reprint weight calculation unit, further
For determining the reprinting information from each Intelligence Page source based on the similarity algorithm of text feature.
10. hot information digging system according to claim 7, it is characterised in that
With respect to hot value computing unit, for for k-th of Intelligence Page source, calculating it with respect to hot value SiteHotnessk, its
In：
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Wherein norm is normalization coefficient；AccessCountkFor the access times in k-th of Intelligence Page source, K is all Information Networks
The set in page source.
11. hot information digging system according to claim 7, it is characterised in that
Weight calculation unit is reprinted, for for i-th of reprinting information, calculating its heatrate value
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<mi>i</mi>
<mi>m</mi>
<mi>e</mi>
<mo>)</mo>
</mrow>
<mo>*</mo>
<munderover>
<mo>&Sigma;</mo>
<mn>1</mn>
<mi>K</mi>
</munderover>
<msub>
<mi>CitationHotness</mi>
<mi>k</mi>
</msub>
<mo>;</mo>
</mrow>
CitationHotnessk=g (SiteHotnessk)；
Wherein K is the set in all Intelligence Page sources for reprinting this i-th reprinting information；PublishTime is this i-th turn
The issuing time of information carrying breath；F (PublishTime) is the time tune weight function on PublishTime,
CitationHotnesskInformation is reprinted in k-th of reprinting reprinted in having the Intelligence Page source of the reprinting information for this i-th
Weight, g (SiteHotnessk) it is on SiteHotnesskTemperature adjust weight function.
12. the hot information digging system according to any one of claim 7-10, it is characterised in that the system is further
Including hot information display unit；
The hot information display unit, for showing the hot information determined from reprinting information.
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| CN201210079091.3A CN103324637B (en) | 2012-03-23 | 2012-03-23 | A kind of hot information method for digging and system |
| PCT/CN2013/073011 WO2013139290A1 (en) | 2012-03-23 | 2013-03-21 | Hot information mining method and system |
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| CN103714132B (en) * | 2013-12-17 | 2017-12-26 | 北京本果信息技术有限公司 | A kind of method and apparatus for being used to carry out focus incident excavation based on region and industry |
| CN105450608A (en) * | 2014-08-28 | 2016-03-30 | 华为技术有限公司 | Digital media content pushing method and digital media content pushing device |
| CN104408175B (en) * | 2014-12-12 | 2017-11-10 | 北京奇虎科技有限公司 | The method and apparatus for identifying type of webpage |
| CN104504059B (en) * | 2014-12-22 | 2018-03-27 | 合一网络技术(北京)有限公司 | Multimedia resource recommends method |
| CN105045890A (en) * | 2015-07-29 | 2015-11-11 | 百度在线网络技术（北京）有限公司 | Method and device for determining hot news in target news source |
| CN105630929B (en) * | 2015-12-22 | 2019-08-30 | 北京奇虎科技有限公司 | Based on the method and device for commenting on determining news recommendation weight |
| KR102580820B1 (en) * | 2016-03-10 | 2023-09-20 | 에스케이하이닉스 주식회사 | Data storage device and operating method thereof |
| CN105843963A (en) * | 2016-04-19 | 2016-08-10 | 北京金山安全软件有限公司 | Website selection method and server |
| CN106383919A (en) * | 2016-11-21 | 2017-02-08 | 青岛农业大学 | Method and system for determining news transmission effect |
| CN108255900A (en) | 2017-03-22 | 2018-07-06 | 广州市动景计算机科技有限公司 | Recommend news rendering method, equipment, browser and electronic equipment |
| CN108205589B (en) * | 2017-12-29 | 2022-02-15 | 成都优易数据有限公司 | Heat iterative calculation method |
| CN109145246A (en) * | 2018-07-31 | 2019-01-04 | 成都华栖云科技有限公司 | A kind of news virtual click amount implementation method based on paas media cloud multi-tenant platform |
| CN112202889B (en) * | 2020-09-30 | 2023-05-23 | 深圳前海微众银行股份有限公司 | Information pushing method, device and storage medium |
| CN114221988A (en) * | 2021-11-03 | 2022-03-22 | 新浪网技术(中国)有限公司 | Content distribution network hotspot analysis method and system |
| CN113987372B (en) * | 2021-12-27 | 2022-03-18 | 昆仑智汇数据科技(北京)有限公司 | Hot data acquisition method, device and equipment of domain business object model |
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| WO2013139290A1 (en) | 2013-09-26 |
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