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Research on Personalized Technique of Data Mining in Information Retrieval

Author: LiJing
Tutor: DingZhenGuo
School: Xi'an University of Electronic Science and Technology
Course: Computer System Architecture
Keywords: Information Retrieval Web Data Mining Text Classification Individuation User interest model
CLC: TP391.3
Type: Master's thesis
Year: 2008
Downloads: 129
Quote: 1
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Abstract


With the rapid development of Internet technology , the Web information is increasingly expanding , people have to spend a lot of time to search for the information they need . Currently , most search engines providing the service not to make customer satisfaction , how to dig out from a large number of network information has become a hot research personalized resources for different users . The paper designs and implements an intelligent information retrieval system , and one of the core modules of personalized information mining module to do in-depth research . The paper first analyzes the meta-search engine works and architecture of Agent technology in information retrieval ; After the key technology of Web text mining , which analyzes text automatic classification technology , we propose an improved text classification based on neural network algorithm , and the algorithm feasibility validation . Then analyzes the document vector space model, and proposed an improved weighted by tag classification algorithm according to weight characteristics of the web page tags . In addition, for the interested in user access , and access characteristics of frequency , using the document preprocessing, user identification, session identification , and a series of steps to create a three dynamic interest model , using the model to retrieve information filter , preferably the satisfy users personalized query needs .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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