Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1273
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DC Field | Value | Language |
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dc.contributor.author | Jena, S K | - |
dc.contributor.author | Kumar, V | - |
dc.contributor.author | Ashok, S O | - |
dc.date.accessioned | 2010-07-29T10:15:04Z | - |
dc.date.available | 2010-07-29T10:15:04Z | - |
dc.date.issued | 2010-07 | - |
dc.identifier.citation | International Conference on Semantic Web and Web Services, 2010 (SWWS'10), P 152-158 | en |
dc.identifier.isbn | 1-60132-131-7 | - |
dc.identifier.uri | http://hdl.handle.net/2080/1273 | - |
dc.description | Copyright belongs to Proceedings Publisher WORLDCOMP’10. | en |
dc.description.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. | en |
dc.format.extent | 1736839 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | WORLDCOMP’10 | en |
dc.title | An Extended Approach to Personalize the Web Search by Measuring the User Relevance | en |
dc.type | Article | en |
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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