Using emotion to diversify document rankings

Moshfeghi, Yashar, Zuccon, Guido, & Jose, Joemon M. (2011) Using emotion to diversify document rankings. In Lecture Notes in Computer Science : Advances in Information Retrieval Theory, Springer Berlin Heidelberg, Bertinoro, Italy, pp. 337-341.

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The aim of this paper is to investigate the role of emotion features in diversifying document rankings to improve the effectiveness of Information Retrieval (IR) systems. For this purpose, two approaches are proposed to consider emotion features for diversification, and they are empirically tested on the TREC 678 Interactive Track collection. The results show that emotion features are capable of enhancing retrieval effectiveness.

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ID Code: 69281
Item Type: Conference Paper
Refereed: Yes
Additional Information: Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings
DOI: 10.1007/978-3-642-23318-0_34
ISBN: 9783642233180
ISSN: 0302-9743
Divisions: Current > Institutes > Institute for Future Environments
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Springer-Verlag GmbH Berlin Heidelberg
Copyright Statement: The final publication is available at Springer via
Deposited On: 02 Jun 2014 02:53
Last Modified: 17 Jul 2014 09:39

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