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

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contributor.authorJena, S K-
contributor.authorKumar, V-
contributor.authorAshok, S O-
date.accessioned2010-07-29T10:15:04Z-
date.available2010-07-29T10:15:04Z-
date.issued2010-07-
identifier.citationInternational Conference on Semantic Web and Web Services, 2010 (SWWS'10), P 152-158en
identifier.isbn1-60132-131-7-
identifier.urihttp://hdl.handle.net/2080/1273-
descriptionCopyright belongs to Proceedings Publisher WORLDCOMP’10.en
description.abstractCurrent 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.en
format.extent1736839 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherWORLDCOMP’10en
titleAn Extended Approach to Personalize the Web Search by Measuring the User Relevanceen
typeArticleen
Appears in Collections:Conference Papers

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