CN104391999B - Information recommendation method and device - Google Patents
Information recommendation method and device Download PDFInfo
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- CN104391999B CN104391999B CN201410779044.9A CN201410779044A CN104391999B CN 104391999 B CN104391999 B CN 104391999B CN 201410779044 A CN201410779044 A CN 201410779044A CN 104391999 B CN104391999 B CN 104391999B
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000006243 chemical reaction Methods 0.000 claims description 13
- 241001269238 Data Species 0.000 claims description 7
- 230000000694 effects Effects 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000013515 script Methods 0.000 description 4
- 230000007306 turnover Effects 0.000 description 4
- 230000003542 behavioural effect Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
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- 238000005516 engineering process Methods 0.000 description 3
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- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 2
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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
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- 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)
Abstract
Description
Claims (8)
- A kind of 1. information recommendation method, it is characterised in that including:Obtain the current click information of user;Classification according to belonging to the current click information searches the association classification associated with the classification;Hot information is searched from the other information of the association class;AndRecommend the hot information to the user;Before the classification according to belonging to the current click information searches the association classification associated with the classification, the side Method also includes:Obtain the user click data recorded in website;The information of the user click data is identified according to pre-defined rule Classification;The information category that will identify that is added in the user click data, obtains new click data;According to described new Incidence relation in click data is associated to the information category identified, obtains information category contingency table.
- 2. according to the method for claim 1, it is characterised in that hot information bag is searched from the other information of the association class Include:Obtain the time of the other information of the association class and the click volume of the other information of the association class;Obtain the weight information of the time and the click volume;The score value of the other information of association class is calculated according to the time, the click volume and the weight information;AndUsing the score value highest information as the hot information.
- 3. according to the method for claim 1, it is characterised in that the classification according to belonging to the current click information search with The associated association classification of the classification includes:Parse the current click information and determine the information category belonging to the current click information;The information category associated with the information category belonging to the current click information is searched from described information category associations table.
- 4. according to the method for claim 1, it is characterised in that according to the incidence relation in the new click data to institute State the information category identified to be associated, obtaining information category contingency table includes:Obtain multiple click datas in the new click data;Search the data that adopting consecutive click chemical reaction is recorded in the multiple click data;AndUsing the data of the adopting consecutive click chemical reaction as the user click data with incidence relation.
- A kind of 5. information recommending apparatus, it is characterised in that including:First acquisition unit, for obtaining the current click information of user;First searching unit, the association associated with the classification is searched for the classification according to belonging to the current click information Classification;Second searching unit, for finding hot information from the other information of the association class;AndRecommendation unit, for recommending the hot information to the user;Described device also includes:Second acquisition unit, in the classification lookup according to belonging to the current click information and institute Before stating the associated association classification of classification, the user click data recorded in website is obtained;Recognition unit, for according to predetermined Rule identifies the information category of the user click data;Adding device, the information category for will identify that are added to described In user click data, new click data is obtained;Associative cell, for according to the incidence relation in the new click data The information category identified is associated, obtains information category contingency table.
- 6. device according to claim 5, it is characterised in that second searching unit includes:First acquisition module, for obtaining the time of the other information of the association class and the click of the other information of the association class Amount;Second acquisition module, for obtaining the weight information of the time and the click volume;Computing module, for calculating the other information of association class according to the time, the click volume and the weight information Score value;AndFirst determining module, for using the score value highest information as the hot information.
- 7. device according to claim 5, it is characterised in that first searching unit includes:Parsing module, for parsing the current click information and determining the information category belonging to the current click information;First searching modul, for the lookup from described information category associations table and the info class belonging to the current click information The information category not associated.
- 8. device according to claim 5, it is characterised in that the associative cell includes:3rd acquisition module, for obtaining multiple click datas in the new click data;Second searching modul, the data of adopting consecutive click chemical reaction are recorded in the multiple click data for searching;AndSecond determining module, for using the data of the adopting consecutive click chemical reaction as the user click data with incidence relation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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CN201410779044.9A CN104391999B (en) | 2014-12-15 | 2014-12-15 | Information recommendation method and device |
Applications Claiming Priority (1)
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CN201410779044.9A CN104391999B (en) | 2014-12-15 | 2014-12-15 | Information recommendation method and device |
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CN104391999A CN104391999A (en) | 2015-03-04 |
CN104391999B true CN104391999B (en) | 2018-02-02 |
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CN201410779044.9A Active CN104391999B (en) | 2014-12-15 | 2014-12-15 | Information recommendation method and device |
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Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104796777A (en) * | 2015-04-26 | 2015-07-22 | 成都创行信息科技有限公司 | Hot video information pushing method |
CN105005582B (en) * | 2015-06-17 | 2017-09-15 | 深圳市腾讯计算机系统有限公司 | The recommendation method and device of multimedia messages |
CN105068869A (en) * | 2015-09-29 | 2015-11-18 | 北京网诺星云科技有限公司 | Method and device for pushing information in mobile terminal |
CN105225158A (en) * | 2015-10-22 | 2016-01-06 | 百度在线网络技术(北京)有限公司 | The column recommend method of Web Community and device |
CN105554088B (en) * | 2015-12-10 | 2019-07-23 | 百度在线网络技术(北京)有限公司 | Information-pushing method and device |
CN107369091B (en) * | 2016-05-12 | 2021-02-05 | 创新先进技术有限公司 | Product recommendation method and device and financial product recommendation method |
CN109992331A (en) * | 2017-12-28 | 2019-07-09 | 重庆南华中天信息技术有限公司 | The common function portal assembly dynamic adjusting method and system of Behavior-based control analysis |
CN108109052A (en) * | 2017-12-29 | 2018-06-01 | 广州优视网络科技有限公司 | Article method for pushing, device and server |
CN108230101B (en) * | 2017-12-29 | 2022-05-17 | 百度在线网络技术(北京)有限公司 | Information recommendation method and device |
CN109815368A (en) * | 2018-12-10 | 2019-05-28 | 百度在线网络技术(北京)有限公司 | Resource recommendation method, device, equipment and computer readable storage medium |
CN110598109A (en) * | 2019-09-16 | 2019-12-20 | 上海喜马拉雅科技有限公司 | Information recommendation method, device, equipment and storage medium |
CN111581492B (en) * | 2020-04-01 | 2024-02-23 | 车智互联(北京)科技有限公司 | Content recommendation method, computing device and readable storage medium |
CN112231580B (en) * | 2020-11-10 | 2024-04-02 | 腾讯科技(深圳)有限公司 | Information recommendation method and device based on artificial intelligence, electronic equipment and storage medium |
CN114357140A (en) * | 2022-01-11 | 2022-04-15 | 瀚云科技有限公司 | Question and answer information pushing method and device, electronic equipment and readable storage medium |
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CN103440259A (en) * | 2013-07-31 | 2013-12-11 | 亿赞普(北京)科技有限公司 | Network advertisement push method and device |
CN103514207A (en) * | 2012-06-26 | 2014-01-15 | 阿里巴巴集团控股有限公司 | Method and device for pushing service objects |
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UA67749C2 (en) * | 1997-08-12 | 2004-07-15 | Егіш Дьйодьсердьяр Рт. | 8-substituted-9h-1,3-dioxolo-[4,5-h][2,3]benzodiazepine being inhibitors of the ampa/kainite receptor |
US7853485B2 (en) * | 2005-11-22 | 2010-12-14 | Nec Laboratories America, Inc. | Methods and systems for utilizing content, dynamic patterns, and/or relational information for data analysis |
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CN102768667A (en) * | 2011-05-06 | 2012-11-07 | 腾讯科技(北京)有限公司 | Method and system for releasing pushed information |
CN103514207A (en) * | 2012-06-26 | 2014-01-15 | 阿里巴巴集团控股有限公司 | Method and device for pushing service objects |
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Denomination of invention: Audio and video file labeling method and device and information recommendation method and device Effective date of registration: 20190531 Granted publication date: 20180202 Pledgee: Shenzhen Black Horse World Investment Consulting Co.,Ltd. Pledgor: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. Registration number: 2019990000503 |
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Address after: 100083 No. 401, 4th Floor, Haitai Building, 229 North Fourth Ring Road, Haidian District, Beijing Patentee after: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. Address before: 100086 Beijing city Haidian District Shuangyushu Area No. 76 Zhichun Road cuigongfandian 8 layer A Patentee before: BEIJING GRIDSUM TECHNOLOGY Co.,Ltd. |
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