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An Extended Approach to Personalize the Web Search by Measuring the User Relevance
| Content Provider | NIT Rourkela |
|---|---|
| Author | Jena, S. K. Kumar, V. Ashok, S. O. |
| Description | 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. |
| File Size | 1736839 |
| File Format | |
| ISBN | 1601321317 |
| Language | English |
| Publisher | WORLDCOMP’10 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
