Di Buccio, Emanuele; Melucci, Massimo and Song, Dawei
(2011).
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| URL: | http://www.comp.rgu.ac.uk/staff/ds/papers/paper17-... |
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Abstract
The paper is concerned with the design and the evaluation of the combination of user interaction and informative content features for implicit and pseudo feedback-based document re-ranking. The features are observed during the visit of the top-ranked documents returned in response to a query. Experiments on a TREC Web test collection have been carried out and the experimental results are illustrated. We report that the effectiveness of the combination of user interaction for implicit feedback depends on whether document re-ranking is on a single-user or a user-group basis. Moreover, the adoption of document re-ranking on a user-group basis can improve pseudo-relevance feedback by providing more effective document for expanding queries.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2011 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Multidisciplinary Information Retrieval
Second Information Retrieval Facility Conference, IRFC 2011, Vienna, Austria, June 6, 2011. Proceedings Editors:Allan Hanbury, Andreas Rauber, Arjen P. de Vries Lecture Notes in Computer Science, Volume 6653 2011 ISBN: 978-3-642-21352-6 (Print) ISBN: 978-3-642-21353-3 (Online) pp.46-61 |
| Keywords: | interaction features; geometric model; implicit feedback; pseudo-relevance feedback |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 34944 |
| Depositing User: | Mary Mcmahon |
| Date Deposited: | 26 Oct 2012 09:00 |
| Last Modified: | 11 Sep 2018 17:37 |
| URI: | http://oro.open.ac.uk/id/eprint/34944 |
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