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Personalized information retrieval based on user interest analysis and research

Author: WangDan
Tutor: LiuFaSheng
School: Jiangxi University of Technology
Course: Applied Computer Technology
Keywords: Personalized Search Engine User interest model The tree vector space model Query Expansion
CLC: TP391.3
Type: Master's thesis
Year: 2010
Downloads: 265
Quote: 0
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Abstract


With the development of computer technology, Internet applications demand is also growing, came into being in order to be able to provide timely and accurate information to the user, the search engine technology. Search engines as the basic means of the network information service, to a certain extent, meet the requirements of the user on the Internet for information retrieval. But at the same time greatly enriched in the amount of information the user facing \The search engine become the main method to solve the above problems, the personalized search engine and its personalized service has become a current research focus. User interest modeling techniques and query expansion method applied to personalized search engines to improve the personalized service of a personalized search engine. The main work of this paper are as follows: (1) traditional vector space model of user interest, without considering the diversity of user interest, lack of accuracy and comprehensiveness of the problem, the paper proposes the user to represent the interest of the user based on the the tree vector space model interested in modeling design. By analyzing the behavioral characteristics of users use search engines, using a calculation method based on the interest of the user browsing speed. The experiments show that the user interest preferences can compare the accurate calculation of the degree of interest based on user browsing speed. (2) In order to make the user interest feature information can be automatically adjusted, and with the changes in the user's interest and generating the adaptive dynamic changes need to adaptively adjust the characteristic words of user interest weight Updated information. User interest model update cycle, a week for a loop, user interest model may be a more accurate description of the user interests. (3) study the query expansion method based on user feedback and query expansion methods for traditional user feedback and query expansion method based on user feedback defects, user relevance feedback based on the vector space model query expansion The method has been modified, and the related regulatory factor. (4) on the basis of a combination of user interest model and query expansion techniques proposed personalized search engines based on user interest in architecture, design and function of each part and workflow, enabling personalized search . Obtained by experiment, personalized search compared with conventional search with high precision.

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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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