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Research and Design of System Based on Personalized Search

Author: CuiQingQing
Tutor: WangYiZhi
School: Beijing Jiaotong University
Course: Computer Science and Technology
Keywords: Search engine User interest model Personalized sort Lucene
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 94
Quote: 2
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Abstract


With the construction of the college of information technology , the learning of the network has been more and more attention , network learning platform has become the core of the University information content . The construction of high - quality network learning platform for the promotion of network learning and learner growth is of great practical significance . With the increase in the amount of information these learning platform , the search is particularly important . Traditional learning platform search based on either title , either based on keywords , sometimes users want to know some information by searching internal content , this time we need to use full-text search , this article is based on research . By drawing on the search engine 's architecture and implementation process within the system to achieve a full - text search , and search results personalized optimization , give different results for different users , different interests , so that the user can first time see their own interest , to achieve the purpose of the auxiliary learning . The main contents of this paper are as follows : First, the information stored in the form of research , information storage Html format , so they can learn the implementation process of the search engine to the learning platform as a web search Lucene development of open source software packages , and can take advantage of . Secondly , the knowledge of knowledge of the search engine , personalized to the search engine you want to use the open-source jar package such as Lucene, Html parsing tools HtmlParser , Chinese sub- word tools , conducted a study , based on this article based personalized search engine optimized architecture design . Detailed study of the two most important issues of the personalized search model of user interest , as well as personalized sorting algorithm design , combined with the system itself , taking into account the many influencing factors , the proposed structures of the system user interest model method and expressed way , in the interest model as well as a number of sorting algorithms based on Lucene sorting algorithm to improve . Fourth , based on the Struts framework to design a simple system , personalized search engine based on experiments .

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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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