CN104598448A - Personalized information recommendation system - Google Patents
Personalized information recommendation system Download PDFInfo
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- CN104598448A CN104598448A CN201310523894.8A CN201310523894A CN104598448A CN 104598448 A CN104598448 A CN 104598448A CN 201310523894 A CN201310523894 A CN 201310523894A CN 104598448 A CN104598448 A CN 104598448A
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- 238000000034 method Methods 0.000 claims abstract description 5
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000011524 similarity measure Methods 0.000 description 1
- 230000026676 system process Effects 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
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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
The invention discloses a personalized information recommendation system. The personalized information recommendation system can recommend information, products and the like in which a user is interested to the user according to information requirements and interests and the like of the user, and the individual privacy information of the user is protected in a recommendation process. Compared with a search engine, the recommendation system does research on the interests and the preference of the user to carry out personalized computation, and the interest points of the user are found by the system so as to guide the user to find the own information requirements.
Description
Technical field
The present invention relates to a kind of Personalized Information Recommendation System, be applicable to the computerized information field of carrying out information pushing for user preferences.
Background technology
The appearance of internet and popularize and bring a large amount of information to user, meets the demand of user in the information age to information, but developing rapidly along with network, network information amount increases substantially, thus has caused two problems, i.e. information overload and resource wander.This two problems makes user not know, and what the information requirement of how exact expression oneself and the information oneself really needed that cannot know for sure is.Although the appearance of the search engine such as Google, Baidu to some extent solves the problems referred to above, they are when user uses same keyword search information, and the result obtained is identical, cannot meet user individual and multiple demands.
Summary of the invention
The present invention be directed to the information requirement of above-mentioned user individual and diversification, provide a kind of Personalized Information Recommendation System, thus meet user Internet era user information search demand.
A kind of Personalized Information Recommendation System, comprising: user modeling module and recommended MBM, proposed algorithm module and information protection module.
Described user modeling module adopts the unsolicited explicit way of user to obtain user profile.
Described user modeling module adopts the implicit following the tracks of user behavior to obtain user profile.
Described modeling sets up user model according to the user profile obtained.
Described object modeling module obtains recommended information by the display mode of active obtaining.
Described proposed algorithm module is merged by data analysis, data, data are transmitted and indentity identifying method calculates phase recommendation information like property.
Described information protection module adopts anonymous way to protect user profile.
Described user can enter system by multiple identity.
Found out by technique scheme; the invention provides a kind of interest preference by studying user and carry out personalization calculating; by the point of interest of system discovery user, thus guide user find the information requirement of oneself and provide corresponding information, realize the secret protection of user individual data simultaneously.
Accompanying drawing explanation
Fig. 1 is image individuation information recommendation system schematic flow sheet of the present invention.
Embodiment
The modelling phase of user will obtain customized information preference and the demand of user, sets up user model.Obtain the unsolicited explicit way in the useful family of method of personalization preferences and demand, as the hobby feedback etc. that base attribute, user input query keyword, the users such as user name during registration provide; Also having and obtain implicit by reasoning after tracking user behavior, browsing the behavior (as number of clicks, browsing time, mark bookmark etc.) of webpage as followed the tracks of user.User model is obtained after obtaining customized information.Afterwards, suitable data structure also to be adopted to represent the individual information needs of user, to facilitate system process and use, re-use this model and carry out matching primitives; Then also user model to be upgraded according to the individual demand change of user.
Modeling is carried out in recommended modelling phase, Data Collection, data monitoring close by data, analysis, merging, transmission, storage and authentication, and obtains recommendation results by Similarity measures.
Data through information protection module, in data each tuple there is some (be at least k), value is identical on accurate flag property tuple.Like this, even if assailant also cannot go out the possessory identity of each tuple by mark uniquely by carrying out linking with other data, only to be no more than identity individual belonging to the probability mark tuple of 1/k, thus the risk of privacy leakage can be reduced.Can be reached privacy protection in various degree by the size adjusting parameter k in k anonymity model, k is larger, and secret protection is stronger.
Claims (8)
1. a Personalized Information Recommendation System, is characterized in that described system: user modeling module and recommended MBM, proposed algorithm module and information protection module.
2. Personalized Information Recommendation System as claimed in claim 1, is characterized in that described user modeling module adopts the unsolicited explicit way of user to obtain user profile.
3. Personalized Information Recommendation System as claimed in claim 3, is characterized in that described user modeling module adopts the implicit following the tracks of user behavior to obtain user profile.
4. Personalized Information Recommendation System as claimed in claim 2 or claim 3, is characterized in that described modeling sets up user model according to the user profile obtained.
5. Personalized Information Recommendation System as claimed in claim 1, is characterized in that described object modeling module obtains recommended information by the display mode of active obtaining.
6. customized information system as claimed in claim 1, is characterized in that described proposed algorithm module is merged by data analysis, data, data transmission and indentity identifying method calculates phase recommendation information like property.
7. the Personalized Information Recommendation System as described in any one of claim 1-6, is characterized in that described information protection module adopts anonymous way to protect user profile.
8. Personalized Information Recommendation System as claimed in claim 7, is characterized in that described user can enter system by multiple identity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310523894.8A CN104598448A (en) | 2013-10-30 | 2013-10-30 | Personalized information recommendation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310523894.8A CN104598448A (en) | 2013-10-30 | 2013-10-30 | Personalized information recommendation system |
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| Publication Number | Publication Date |
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| CN104598448A true CN104598448A (en) | 2015-05-06 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201310523894.8A Pending CN104598448A (en) | 2013-10-30 | 2013-10-30 | Personalized information recommendation system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105138664A (en) * | 2015-09-02 | 2015-12-09 | 中国地质大学（武汉） | Big data recommendation method and system with privacy protection function |
| CN106936864A (en) * | 2015-12-29 | 2017-07-07 | 国网智能电网研究院 | A kind of privacy of user guard method and system |
| CN109460517A (en) * | 2018-11-19 | 2019-03-12 | 苏州友教习亦教育科技有限公司 | Personalized information push method based on Cloud Server |
| CN110489623A (en) * | 2019-07-10 | 2019-11-22 | 本识科技(深圳)有限公司 | A kind of intelligent assistant's system and intelligent assistant robot based on user information interaction |
| CN114297514A (en) * | 2022-01-28 | 2022-04-08 | 微录有限公司 | Recommendation method and system capable of being configured and generated autonomously |
| CN114398601A (en) * | 2021-12-28 | 2022-04-26 | 奇安信科技集团股份有限公司 | Identity control method and device |
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| US20110238482A1 (en) * | 2010-03-29 | 2011-09-29 | Carney John S | Digital Profile System of Personal Attributes, Tendencies, Recommended Actions, and Historical Events with Privacy Preserving Controls |
| CN102831234A (en) * | 2012-08-31 | 2012-12-19 | 北京邮电大学 | Personalized news recommendation device and method based on news content and theme feature |
| CN103049528A (en) * | 2012-12-24 | 2013-04-17 | 北京信息科技大学 | Personalized web page searching and sorting method on basis of interest vectors of user |
| CN103136275A (en) * | 2011-12-02 | 2013-06-05 | 盛乐信息技术（上海）有限公司 | System and method for recommending personalized video |
| CN103279499A (en) * | 2013-05-09 | 2013-09-04 | 北京信息科技大学 | User privacy protection method in personalized information retrieval |
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2013
- 2013-10-30 CN CN201310523894.8A patent/CN104598448A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110238482A1 (en) * | 2010-03-29 | 2011-09-29 | Carney John S | Digital Profile System of Personal Attributes, Tendencies, Recommended Actions, and Historical Events with Privacy Preserving Controls |
| CN103136275A (en) * | 2011-12-02 | 2013-06-05 | 盛乐信息技术（上海）有限公司 | System and method for recommending personalized video |
| CN102831234A (en) * | 2012-08-31 | 2012-12-19 | 北京邮电大学 | Personalized news recommendation device and method based on news content and theme feature |
| CN103049528A (en) * | 2012-12-24 | 2013-04-17 | 北京信息科技大学 | Personalized web page searching and sorting method on basis of interest vectors of user |
| CN103279499A (en) * | 2013-05-09 | 2013-09-04 | 北京信息科技大学 | User privacy protection method in personalized information retrieval |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105138664A (en) * | 2015-09-02 | 2015-12-09 | 中国地质大学（武汉） | Big data recommendation method and system with privacy protection function |
| CN106936864A (en) * | 2015-12-29 | 2017-07-07 | 国网智能电网研究院 | A kind of privacy of user guard method and system |
| CN109460517A (en) * | 2018-11-19 | 2019-03-12 | 苏州友教习亦教育科技有限公司 | Personalized information push method based on Cloud Server |
| CN110489623A (en) * | 2019-07-10 | 2019-11-22 | 本识科技(深圳)有限公司 | A kind of intelligent assistant's system and intelligent assistant robot based on user information interaction |
| CN114398601A (en) * | 2021-12-28 | 2022-04-26 | 奇安信科技集团股份有限公司 | Identity control method and device |
| CN114297514A (en) * | 2022-01-28 | 2022-04-08 | 微录有限公司 | Recommendation method and system capable of being configured and generated autonomously |
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Application publication date: 20150506 |