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Users To Personalize The Design And Realization Of The Model Of Information Retrieval

Posted on:2005-06-30Degree:MasterType:Thesis
Country:ChinaCandidate:Q H WangFull Text:PDF
GTID:2208360122497369Subject:Systems Engineering
Abstract/Summary:PDF Full Text Request
As a kind of resource, information is playing a great role in the development of economy and society, and its development, use, and management are having been an important method with which organization and person to gain competition. With the broad application of Internet, more and more information is left on Internet as an electronic resource, while the means of information acquisition is far away from the demand of information increase, thus "Rich data" and "Poor information" happened. Although many tools for information retrieval and information filtering have been developed, they are short of personalization and intelligence, and cannot capture user's information demand exactly.In view of the situation that existing search engines cannot follow up the change of webpage and their low precision in information retrieval, the dissertation suggests an idea of personalized information retrieval service, and establish a user model for personalized information retrieval based on user partialness keyword list on client server, which can supply personalized information retrieval service for user with the communications and collaboration of all modules of it.The dissertation is focus on establishing a user model for personalized information retrieval based on user partialness keyword list, including classified dictionary, study module, user behavior monitor module, Internet change detecting module, document analysis and information filtering module, and with the communications and collaboration of these modules, the model obtains on load of user partialness information while in inquiring, retrieving and results filtering. Thus the precision of information retrieval increases, and it can keep up with the change of webpage, and personalized information retrieval service realized.Experiments show that the user model for personalized information retrieval is effective on increasing precision, and it can follow up the change of webpage for its user, gain the object of personalized information service.
Keywords/Search Tags:User Model, Keyword List, Classified Dictionary, Personalized Information Retrieval
PDF Full Text Request
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