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Key Techniques Of Information Filtering For Chinese Text

Posted on:2009-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:J L HuFull Text:PDF
GTID:2178360272478159Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
As the rapid development of the Internet, the information on it increases inexponential speed. It has such large amount of contents and so many sorts that may bethe largest library in the world, So information filtering system aimed at personalizeduser information service comes into being. Information filtering is central topic ininformation filtering field. In the paper, Chinese information system and relevant issuesare addressed.Research the personalized information filtering systems in the world, this paperanalysis the technologies in the text processing and text filtering, introduce the keytechnologies in the information filtering. The one is the automatic segmentation methodand text classifying. The paper pays more attention to introduce the LSI and Roughtechnologies, which applied to classify the documents described by the Space VectorModel. The other one is the building and refreshing for users'Profiles and theintellectualized recommendation for the users, especially for the new users. The paperdescribed how to classify the users and how to select documents in the web in detail. Atlast, the paper afforded the personalized Chinese text filtering system based on the agent.Through the elaborate tests, the system takes a perfect performance. The radio of recalland precise are all improved, especially for the new users.
Keywords/Search Tags:LSI, Rough, Query Expansion, Rocchio, Intellectualized-Recommendation
PDF Full Text Request
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