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Research on Personalization Service Based on Combined Mining of Web Contents and Web Server Logs

Author: WenZuoZuo
Tutor: WangXiuKun
School: Dalian University of Technology
Course: Applied Computer Technology
Keywords: Web content mining Web usage mining Personalized service Information recommendation system
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 192
Quote: 1
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Abstract


With the popularity of the Internet and the rapid development of information technology , the traditional Web access to information because of its general nature , can not satisfy the different interests , the needs of the different users of the purpose of the visit , personalized information from the mass network information has become there is an urgent need , therefore , personalized service technology is more and more widely appreciated . Personalized service through the collection and analysis of user information to learn user interest and access behavior , in order to achieve the purpose of active recommended . This paper focuses on the personalization of the Web services technology , mining technology , combined with Web content mining and Web usage mining an integrated mining , and design a Web mining strategy to verify this mining method performance . Mining strategy based Web content and integration of Web log mining method for the automatic classification of user access mode , the items of information obtained by extracting the text of the page , the subject of the page information , establish user access patterns combined with Web server log file description file classification of user access patterns and predict future user access requests. The effectiveness of the integrated mining method based on classification tasks and predict the results of the task evaluation . Mining the implementation of the strategy includes the following sections : user access session identification , integrated Web content mining and Web usage mining , building access pattern description file , classification and prediction . Integrated mining method using two metrics evaluation of performance : classification accuracy A (C) the forecast accuracy A (P) . The experimental results show that contrast alone a Web mining , integrated mining classification accuracy and prediction accuracy has improved greatly , and this method can better promote Web personalized recommendation . In this paper, the Dalian Municipal Public Security Bureau , \the recommended process to provide personalized information for different users . The purpose of the system design information active recommendation to improve the speed related criminal investigation access to information , and thus play a supporting rapid analysis , the role of information came to the detection of cases .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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