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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1273

Title: An Extended Approach to Personalize the Web Search by Measuring the User Relevance
Authors: Jena, S K
Kumar, V
Ashok, S O
Issue Date: Jul-2010
Publisher: WORLDCOMP’10
Citation: International Conference on Semantic Web and Web Services, 2010 (SWWS'10), P 152-158
Abstract: Current methodologies in personalizing the web search include number of hits on a link by the user, inbound links and user profiling which are independent of user’s action. In this paper we present a new dimension of attributes which can be used to get more personalized search results. These attributes are based on the user actions after he/she has opened the given link. The attributes include actions like saving/printing/bookmarking the document etc. which are clear indicators of user relevance. Simulation and experimentation of the same using a web search interface and comparison of search results using precision and recall graphs showed an average of 22% improvement in the relevance of the search results returned, ranging from 0-60% for different weighting models.
Description: Copyright belongs to Proceedings Publisher WORLDCOMP’10.
URI: http://hdl.handle.net/2080/1273
ISBN: 1-60132-131-7
Appears in Collections:Conference Papers

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