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 |
Files in This Item:
File | Description | Size | Format | |
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SWW5251.pdf | 1.7 MB | Adobe PDF | View/Open |
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