CN106503890A - A kind of Information arrangement method - Google Patents
A kind of Information arrangement method Download PDFInfo
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- CN106503890A CN106503890A CN201610909458.8A CN201610909458A CN106503890A CN 106503890 A CN106503890 A CN 106503890A CN 201610909458 A CN201610909458 A CN 201610909458A CN 106503890 A CN106503890 A CN 106503890A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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Abstract
The present invention relates to Web applied technical fields, and in particular to a kind of Information arrangement method.Method of the present invention includes following step：1st, the scene and Correlative Influence Factors of ranking is clicked in analysis；2nd, influence factor's parsing the assignment to hits N and issuing time T；3rd, parsing is affected on the velocity coeffficient G that ranking declines；4th, according to the computing formula of the relation derivation Rank scores S of each influence factor；5th, score value is calculated according to the computing formula of Rank scores S, row information of going forward side by side sorts；Ranking result is fed back to user finally.The present invention is solved the problems, such as to click on ranking smooth change and is eliminated automatically；Can be widely applied to the Information ranking in WEB development and application.
Description
Technical field
The present invention relates to Web applied technical fields, and in particular to a kind of Information arrangement method.
Background technology
Information huge explosion Internet era, what user worried be not information very little, but information is too many, how from sea
The most concerned content of user is quickly found out in the information of amount, has become the key problem of the Internet.Ranking is carried out to information,
Seek to information is arranged in order according to importance, and upgrade in time, feed back to user.Traditional click ranking change is not enough put down
Sliding, previous hour is also in the top, and one hour after may be plummeted, in addition also lacks automatic eliminative mechanism, certain time
Hot content may occupy ranking list prostatitis for a long time.
Content of the invention
Present invention solves the technical problem that being to provide a kind of method for clicking on ranking in unit interval；Solve to click on ranking
Smooth change and the problem that eliminates automatically.
The present invention solves the technical scheme of above-mentioned technical problem：
Described method includes following step：
Step one, analysis click on the scene and Correlative Influence Factors of ranking；
Step 2, the influence factor's parsing to hits N and issuing time T assignment；
Step 3, the velocity coeffficient G impact parsings declined by ranking；
Step 4, the computing formula according to the relation derivation Rank scores S of each influence factor；
Step 5, according to the computing formula of Rank scores S calculate score value, row information of going forward side by side sort；
Ranking result is fed back to user finally.
Described click ranking is that the click to information is ranked up and ranking；According to how much several N are hit, the time is considered
Factor T and velocity coeffficient G finally determine ranking.
In described step two, in the case where other conditions are constant, hits N are directly proportional to Rank scores S；Hits
N is bigger, and ranking is higher, and Rank scores S is bigger for gained.
In described step two, in the case where other conditions are constant, information issuing time T is inversely proportional to Rank scores S；
The time T that range information is issued is shorter, represents that the information is newer, and ranking is higher；The time stamp T that range information is issued is obtained, with
Hour is unit assignment.
The value for arranging the velocity coeffficient G that ranking declines is 1.5,1.8,2, according to hyp characteristic and linear relationship, right
Time T carries out G power computings.
Described Rank scores S computing formula are：S=N/ (T+1)G.
The present invention solves the short-cut method of Information ranking within the unit interval in Web development and application, extensively can answer
In for Web development and application.
The present invention carries out ranking with hits in the unit interval, and within the scope of the regular hour, hits are most just
Make number one；And the influence factor's parsing to hits N and issuing time T assignment；The velocity coeffficient G shadows declined by ranking
Ring parsing；Consider the velocity coeffficient G that issuing time T and ranking decline；Solve the defect that tradition clicks on ranking.Can be extensive
It is applied in WEB development and application.
Description of the drawings
The present invention is further described below in conjunction with the accompanying drawings：
Accompanying drawing is the inventive method FB(flow block).
Specific embodiment
As shown in figure 1, the present invention specifically includes following step：
Step one, analysis click on the scene and Correlative Influence Factors of ranking；
Step 2, influence factor's parsing of hits N assignment；
Step 3, influence factor's parsing of issuing time T assignment；
The velocity coeffficient G that step 4, ranking decline affects parsing；
Step 5, the computing formula according to the relation derivation Rank scores S of each influence factor；
Step 6, row information of being gone forward side by side according to the calculating score value of the computing formula of Rank scores S sequence；
Ranking result is fed back to user finally.
In described step one, hits ranking is exactly ranked up to the click of information and ranking, but and click
N is most just necessarily ranks the first for number, in addition it is also necessary to consider that time factor T, new information should be obtained preferably than old information
Ranking, while in order to ensure that ranking declines the flatness of change, need to introduce the velocity coeffficient constant G that ranking declines, concrete number
Value can be adjusted according to practical situation.
In described step two, impact of hits N to ranking.In the case where other conditions are constant, step one midpoint
Hit that several N are bigger, ranking is higher, and Rank scores S is bigger for gained, i.e., hits N are directly proportional to Rank scores S, obtain the point of information
Hit number assignment.
In described step three, impact of the time to ranking that information is issued.In the case where other conditions are constant, step
The time T that range information is issued in one is shorter, represents that the information is newer, and ranking is higher, and Rank scores S is bigger for gained, i.e. information
Issuing time T is inversely proportional to Rank scores S, the change that the ranking of an information can be over time and constantly decline.Obtain distance
The time stamp T that information is issued, (visual concrete condition be adjusted as day or other) assignment in units of hour.
In described step four, to declining the flatness of change to ensure ranking in step one, while declining change
Value is infinitely close to zero, without being equal to zero, it is known that it meets hyp characteristic.The velocity coeffficient constant that ranking declines is set
The value of G is 1.5,1.8,2 or other (can be adjusted modification as the case may be), according to hyp characteristic and linear pass
System, carries out the G power computings of T to time T in step one.
In described step five, according to step 2, Rank scores S is directly proportional to number of clicks N, according to step 3
Described in Rank scores S and time T be inversely proportional to, while the decline variation characteristic and linear relationship according to step 4, can push away
Derive Rank scores S computing formula be：S=N/ (T+1)G, (it is zero to prevent denominator that T plus 1 is, the N and T in formula
Plus-minus constant can be carried out according to practical situation, but molecule N be must assure that more than or equal to 0, denominator is more than 0, because the score value S of ranking
Have to be larger than just meaningful equal to 0).
In described step six, according to the Rank scores S computing formula in step 5, the click ranking of all information is calculated
Score value, and sort and be presented to user.
Claims (9)
1. a kind of Information arrangement method, it is characterised in that：Described method includes following step：
Step one, analysis click on the scene and Correlative Influence Factors of ranking；
Step 2, the influence factor's parsing to hits N and issuing time T assignment；
Step 3, the velocity coeffficient G impact parsings declined by ranking；
Step 4, the computing formula according to the relation derivation Rank scores S of each influence factor；
Step 5, according to the computing formula of Rank scores S calculate score value, row information of going forward side by side sort；
Ranking result is fed back to user finally.
2. Information arrangement method according to claim 1, it is characterised in that：Described click ranking is to information
Click is ranked up and ranking；According to how much several N are hit, consider time factor T and velocity coeffficient G finally determines ranking.
3. Information arrangement method according to claim 1, it is characterised in that：In described step two, at other
In the case that part is constant, hits N are directly proportional to Rank scores S；Hits N are bigger, and ranking is higher, and gained Rank scores S gets over
Greatly.
4. Information arrangement method according to claim 2, it is characterised in that：In described step two, at other
In the case that part is constant, hits N are directly proportional to Rank scores S；Hits N are bigger, and ranking is higher, and gained Rank scores S gets over
Greatly.
5. the Information arrangement method according to any one of Claims 1-4, it is characterised in that：In described step two,
In the case where other conditions are constant, information issuing time T is inversely proportional to Rank scores S；The time T that range information is issued gets over
Short, represent that the information is newer, ranking is higher；The time stamp T that range information is issued is obtained, in units of hour and assignment.
6. the Information arrangement method according to Claims 1-4, it is characterised in that：The speed system that ranking declines is set
The value of number G is 1.5,1.8,2, according to hyp characteristic and linear relationship, carries out G power computings to time T.
7. Information arrangement method according to claim 5, it is characterised in that：The velocity coeffficient G that ranking declines is set
Value be 1.5,1.8,2, according to hyp characteristic and linear relationship, carry out G power computings to time T.
8. Information arrangement method according to claim 6, it is characterised in that：Described Rank scores S computing formula
For：S=N/ (T+1)G.
9. Information arrangement method according to claim 7, it is characterised in that：Described Rank scores S computing formula
For：S=N/ (T+1)G.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610909458.8A CN106503890A (en) | 2016-10-18 | 2016-10-18 | A kind of Information arrangement method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610909458.8A CN106503890A (en) | 2016-10-18 | 2016-10-18 | A kind of Information arrangement method |
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| CN106503890A true CN106503890A (en) | 2017-03-15 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106940723A (en) * | 2017-03-16 | 2017-07-11 | 北京搜狐新媒体信息技术有限公司 | A kind of news search method and device |
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| CN102339296A (en) * | 2010-07-26 | 2012-02-01 | 阿里巴巴集团控股有限公司 | Method and device for sorting query results |
| CN102426610A (en) * | 2012-01-13 | 2012-04-25 | 中国科学院计算技术研究所 | Microblog rank searching method and microblog searching engine |
| CN104657496A (en) * | 2015-03-09 | 2015-05-27 | 杭州朗和科技有限公司 | Method and equipment for calculating information hot value |
| CN105589895A (en) * | 2014-11-13 | 2016-05-18 | 深圳市腾讯计算机系统有限公司 | Resource ranking data generation method and device |
-
2016
- 2016-10-18 CN CN201610909458.8A patent/CN106503890A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477556A (en) * | 2009-01-22 | 2009-07-08 | 苏州智讯科技有限公司 | Method for discovering hot sport in internet mass information |
| CN102339296A (en) * | 2010-07-26 | 2012-02-01 | 阿里巴巴集团控股有限公司 | Method and device for sorting query results |
| CN102426610A (en) * | 2012-01-13 | 2012-04-25 | 中国科学院计算技术研究所 | Microblog rank searching method and microblog searching engine |
| CN105589895A (en) * | 2014-11-13 | 2016-05-18 | 深圳市腾讯计算机系统有限公司 | Resource ranking data generation method and device |
| CN104657496A (en) * | 2015-03-09 | 2015-05-27 | 杭州朗和科技有限公司 | Method and equipment for calculating information hot value |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106940723A (en) * | 2017-03-16 | 2017-07-11 | 北京搜狐新媒体信息技术有限公司 | A kind of news search method and device |
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