IMPROVING PERSONALIZED WEB SEARCH USING BOOKSHELF DATA STRUCTURE

Abstract
Search engines are playing a vital role in retrieving relevant information for the web user. In this research work a user profile based web search is proposed. So the web user from different domain may receive different set of results. The main challenging work is to provide relevant results at the right level of reading difficulty. Estimating user expertise and re-ranking the results are the main aspects of this paper. The retrieved results are arranged in Bookshelf Data Structure for easy access. Better presentation of search results hence increases the usability of web search engines significantly in visual mode.

Authors
S.K. Jayanthi1 and S. Prema2
1Vellalar College for Women, India,2K.S.R College of Arts and Science, India

Keywords
Web Search Personalization, Bookshelf Data Structure, Agglomerative Hierarchical Clustering, Similarity Measure, Visualization
Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 3 , Issue: 1 )
Date of Publication :
October 2012

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