CN104133906A - Technical method for filtering and intelligent sorting of information - Google Patents
Technical method for filtering and intelligent sorting of information Download PDFInfo
- Publication number
- CN104133906A CN104133906A CN201410382244.0A CN201410382244A CN104133906A CN 104133906 A CN104133906 A CN 104133906A CN 201410382244 A CN201410382244 A CN 201410382244A CN 104133906 A CN104133906 A CN 104133906A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- content
- list
- weight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a comprehensive solving method for filtrating and intelligent sorting of a large amount of information. According to the method, information lists read by a user are recorded; default weighs of various types of information are set according to the phone type and the region of the user; the preference weight of the user is worked out according to clicks of the user; scores of the information are calculated by substituting the release time, the regions and the total click rates of the information; sorting is conducted according to the scores; if the user clicks a content of which the user is not fond, the weight of the content is increased, if the total click rates of the information are too high, normalization is needed, and the situation that the information at a low click rate has no chance to be displayed is avoided; if the information is released for a period of time, the score of the information needs to be reduced, and the display chance of the information is reduced.
Description
technical field:
The information that the present invention relates to smart mobile phone information software is shown ordering techniques field, relates to especially a kind of technical method of content ordering of internet applications.
background technology:
Along with the development of Internet technology, all live in a large amount of information every day at us, news, advertisement, science and technology, sale etc.Not that user wants to see mostly, cannot accept so much quantity of information yet, more cannot effectively find self interested content.We need to filter information, sequence, and what finally show user is the content of high-quality, otherwise user will be difficult in the information of magnanimity, finds content own interested, focus.Application market has the information software that is much applicable to smart mobile phone at present, but can be according to user preferences, and social hotspots, issuing time are done integrated ordered application also precedent.Information is filtered and the technical method of intelligent sequencing, has solved and cannot carry out the problem of the filtration of magnanimity information and recommendation in the market, and successful, has attracted user's reading interest greatly, better experiences to user.
summary of the invention:
Fundamental purpose of the present invention is to provide a kind of comprehensive magnanimity information and filters the also solution of intelligent sequencing, to meet user's reading requirement, improves user's reading experience.
For addressing the above problem, the invention provides following technical scheme:
1, first record the information list that user had read, the information of having read for user, no longer shows user.
2, the initialization of user preferences, does not provide starting stage of hobby user, according to user's type, location, the default-weight of all kinds of information is set.
3, according to user's click, calculate user preference weight, then the issuing time of substitution information, location, total click volume, calculates the score of information, then sorts according to score.If user has clicked the content that non-user likes, strengthen so the weight of this content, illustrate that user's hobby changes.If total click volume of information is too high, need normalization, avoid clicking the little information of religion and have no chance to be demonstrated.If the issuing time of information has surpassed a period of time, need to reduce the score of information, reduce display machine meeting.
accompanying drawing explanation:
Fig. 1: the curve map that affected by information clicks
Fig. 2: different type of machines user's click custom
Embodiment:
one, the recording user information list of having read sequence, be designated as U (id1, id2, id3 ..., idn), with the information list of having sorted of the overall situation of system, be designated as T (id1, id2, id3,, idn), the list that wherein user had read needs permanent reservation, unless the id of overall information T has deletion, could delete the list of having read.First according to formula T
u obtain the list N that user do not read (id1, id2, id3 ..., idn).
two, user preferences initialization, according to user's type, location, with the total weight calculation of each classification information in each type, area, the user of different type of machines obtains the approximate value of user preferences, the user of A brand mobile phone just pays close attention to the more of amusement and life, and the user of B brand mobile phone pays close attention to the more of science and technology.As Fig. 2
According to user's click, change, in order to reflect the variation of user preferences, when user has clicked the classification that there is no before the deadline click, need to strengthen the weight of this classification.
User hobby=user click/user that classifies that classifies always clicks.
User hobby=(user classify click+classification on average the click)/user that classifies always clicks.
Total click volume of information is excessive, but can affect the chance that the nearer information of the little issuing time of click volume is demonstrated, so need to do normalized, the clicks X=log10 of information (x), as Fig. 1.
Three, along with the increase of time, the information that originally score is higher should reduce chance for exposure slowly, corresponding, the information that score is higher, and issuing time is not up-to-date, can have the chance of exposure yet.
Information dissemination time T;
Current time NOW;
Information announced second in the time interval of t=NOW-T;
Information time score:
86400 is number of seconds of one day, along with the variation of time, new information branch slowly surpass the high old information of score.The clicks scope that total number of clicks normalization is conducive to dwindle to information.
Four, the regional attribute of information has important weight for local user, the news in A area should preferentially push away the user to A area, singularity due to regional information, we have attached regional attribute to information, if user location equals the regional attribute of information, the weight of this information strengthens so, otherwise reduction weight, can allow like this user also have the chance that can see strange land information, if user has clicked strange land information, strange land information joins user's hobby setting so, and strange land attribute is considered its singularity, and the term of validity needs to reduce.
Claims (7)
1. an intelligent sequencing technical method for content software, is applied to the content ordering of internet works software, it is characterized in that, described method comprises:
Record the contents list that user had read, for the content of having read, no longer show.
2. pair initial user, user does not provide the starting stage of hobby, obtains the default-weight of all kinds of contents according to user's type, area.
3. user's click-reaction user's hobby, user surpasses the categorised content that the term of validity has not been seen before having clicked, need to strengthen the weight of this classification.
4. along with the increase of time, the chance of the reduction exposure that the content that originally score is higher will be slowly, corresponding, the content of low minute, the exposure of also will having an opportunity, will preferentially show local user with the content of regional character.
5. method according to claim 1, is characterized in that, also comprises:
According to different type of machines and the definite user's in area default preferences.
6. method according to claim 1, is characterized in that, also comprises:
User's the full dose list of reading list and service, obtains user of unread list.
7. method according to claim 1, is characterized in that, also comprises:
User's click on content time, content area want to be reacted in score.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410382244.0A CN104133906B (en) | 2014-08-06 | 2014-08-06 | A kind of information filters the technical method of simultaneously intelligent sequencing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410382244.0A CN104133906B (en) | 2014-08-06 | 2014-08-06 | A kind of information filters the technical method of simultaneously intelligent sequencing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104133906A true CN104133906A (en) | 2014-11-05 |
| CN104133906B CN104133906B (en) | 2018-07-31 |
Family
ID=51806584
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410382244.0A Active CN104133906B (en) | 2014-08-06 | 2014-08-06 | A kind of information filters the technical method of simultaneously intelligent sequencing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104133906B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104809154A (en) * | 2015-03-19 | 2015-07-29 | 百度在线网络技术（北京）有限公司 | Method and device for recommending information |
| CN105574061A (en) * | 2015-05-24 | 2016-05-11 | 刘晓建 | Method for filtering user generated content by network information acquisition tool |
| CN106547922A (en) * | 2016-12-07 | 2017-03-29 | 广州优视网络科技有限公司 | A kind of sort method of application program, device and server |
| CN107193891A (en) * | 2017-05-02 | 2017-09-22 | 百度在线网络技术（北京）有限公司 | Content recommendation method and device |
| CN108628949A (en) * | 2018-03-30 | 2018-10-09 | 北京金堤科技有限公司 | A kind of processing method and processing device that information is shown |
| CN108961097A (en) * | 2018-07-12 | 2018-12-07 | 北京猫眼文化传媒有限公司 | A kind of information processing method and device |
| CN110399572A (en) * | 2018-04-23 | 2019-11-01 | 腾讯科技（深圳）有限公司 | A kind of information application control method, apparatus and information display systems |
| CN112131465A (en) * | 2020-09-14 | 2020-12-25 | 绿瘦健康产业集团有限公司 | Activity information matching method, device, medium and terminal equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090125464A1 (en) * | 2005-01-21 | 2009-05-14 | Koninklijke Philips Electronics, N.V. | Method and Apparatus for Acquiring a Common Interest-Degree of a User Group |
| CN102611785A (en) * | 2011-01-20 | 2012-07-25 | 北京邮电大学 | Personalized active news recommending service system and method for mobile phone user |
| CN102779136A (en) * | 2011-05-13 | 2012-11-14 | 北京搜狗科技发展有限公司 | Method and device for information search |
| CN103218355A (en) * | 2012-01-18 | 2013-07-24 | 腾讯科技（深圳）有限公司 | Method and device for generating tags for user |
| CN103631823A (en) * | 2012-08-28 | 2014-03-12 | 腾讯科技（深圳）有限公司 | Method and device for recommending media content |
-
2014
- 2014-08-06 CN CN201410382244.0A patent/CN104133906B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090125464A1 (en) * | 2005-01-21 | 2009-05-14 | Koninklijke Philips Electronics, N.V. | Method and Apparatus for Acquiring a Common Interest-Degree of a User Group |
| CN102611785A (en) * | 2011-01-20 | 2012-07-25 | 北京邮电大学 | Personalized active news recommending service system and method for mobile phone user |
| CN102779136A (en) * | 2011-05-13 | 2012-11-14 | 北京搜狗科技发展有限公司 | Method and device for information search |
| CN103218355A (en) * | 2012-01-18 | 2013-07-24 | 腾讯科技（深圳）有限公司 | Method and device for generating tags for user |
| CN103631823A (en) * | 2012-08-28 | 2014-03-12 | 腾讯科技（深圳）有限公司 | Method and device for recommending media content |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104809154A (en) * | 2015-03-19 | 2015-07-29 | 百度在线网络技术（北京）有限公司 | Method and device for recommending information |
| CN104809154B (en) * | 2015-03-19 | 2019-03-08 | 百度在线网络技术（北京）有限公司 | The method and device recommended for information |
| CN105574061A (en) * | 2015-05-24 | 2016-05-11 | 刘晓建 | Method for filtering user generated content by network information acquisition tool |
| CN106547922A (en) * | 2016-12-07 | 2017-03-29 | 广州优视网络科技有限公司 | A kind of sort method of application program, device and server |
| CN106547922B (en) * | 2016-12-07 | 2020-08-25 | 阿里巴巴（中国）有限公司 | Application program sorting method and device and server |
| CN107193891A (en) * | 2017-05-02 | 2017-09-22 | 百度在线网络技术（北京）有限公司 | Content recommendation method and device |
| CN108628949A (en) * | 2018-03-30 | 2018-10-09 | 北京金堤科技有限公司 | A kind of processing method and processing device that information is shown |
| CN110399572A (en) * | 2018-04-23 | 2019-11-01 | 腾讯科技（深圳）有限公司 | A kind of information application control method, apparatus and information display systems |
| CN108961097A (en) * | 2018-07-12 | 2018-12-07 | 北京猫眼文化传媒有限公司 | A kind of information processing method and device |
| CN108961097B (en) * | 2018-07-12 | 2021-01-15 | 北京猫眼文化传媒有限公司 | Information processing method and device |
| CN112131465A (en) * | 2020-09-14 | 2020-12-25 | 绿瘦健康产业集团有限公司 | Activity information matching method, device, medium and terminal equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104133906B (en) | 2018-07-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104133906A (en) | Technical method for filtering and intelligent sorting of information | |
| US10839464B2 (en) | System and method for managing interaction between commercial and social users | |
| US10739938B2 (en) | Customizing a tag cloud | |
| CN105335509B (en) | A kind of method for recommending action message, device and server | |
| US10375188B2 (en) | Sending notifications as a service | |
| US20150154167A1 (en) | System and method for utilizing annotated images to facilitate interactions between commercial and social users | |
| CN104469430A (en) | Video recommending method and system based on context and group combination | |
| US20090089110A1 (en) | Methods of ranking content for brand centric websites | |
| US20150256633A1 (en) | Generating a Platform for Social Interaction | |
| WO2012068677A1 (en) | Systems and methods for managing a profile of a user accessing electronic content | |
| JP2008547108A5 (en) | ||
| CN102193969A (en) | System, method, and computer program product for custom stream generation | |
| CN106537437A (en) | Identifying media channels that have a high likelihood of multiple consumptions by one or more users | |
| US20130254022A1 (en) | Method and System for Multimedia Content Stream and Social Network for Locations | |
| CN106412635B (en) | A kind of intelligence advertisement placement method and system | |
| CN109800036A (en) | Information flow page display method, system, calculates equipment and storage medium at device | |
| CN104699682B (en) | Information processing method and device | |
| CN103389853B (en) | Microblog display method and system | |
| Martin-Iverson | Bandung Lautan Hardcore: territorialisation and deterritorialisation in an Indonesian hardcore punk scene | |
| CN107749001A (en) | Advertisement management method, device and electronic equipment | |
| CN105528618A (en) | Short image text identification method and device based on social network | |
| US10037547B2 (en) | Grouping channels based on user activity | |
| CN102970605B (en) | A kind of program commending method | |
| Wilken | Social media app economies | |
| Prey | “Now Playing. You”: Big Data and the Production of Music Streaming Space. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |