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The Research Of Personalized Search Engine Based On Web Data Mining

Posted on:2011-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2178360302473578Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
The Internet is application provide information exchange to users, sharing and developing. The main purpose of access to the Internet is query information. As the information has characterize on the Internet that has a large number , strong disorder, Repeatability , a variety of information retrieval systems on the Internet - search engine become the main tool to obtain information on Internet to help people. These search engines has brought great convenience to people but also exposed many problems. Search engine returned to the user a large number of search results, it is increasingly difficult to find real intentions in line with their own information. The limitation of traditional search engine lack of personalized have become increasingly prominent, only rely on traditional search engines have been unable to meet people's needs, therefore, the personalization research of search engine become an important subject for today's Internet information retrieval.In this paper, first, the theoretical foundation of Web mining and personalized search engines were introduced, including Web data mining classification, Web data mining in the application of personalized search, the classification of search engine and key performance indicators of retrieval, the basic type of personalized search engine and related to mainly technology. Second, given Google's PageRank for the sorting algorithm of a defect, that is the same page all the links out of pages share the same weight of the page PageRank value, research has targeted a new algorithm, that is the same page links out of pages according to their share of the importance of the page the page's PageRank value of different weights. Finally, the design of personalized search engine model, idea is to combine Web mining and PageRank technology, establish user interest model, to the personalized search engines, so search results more in line with the user's actual needs.In the end of this paper, summarizes the research work and the shortcomings, and has analyzed and forecast the further research work.
Keywords/Search Tags:Web Mining, PageRank algorithm, User Interest Model, Personalized Search Engine
PDF Full Text Request
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