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.
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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|Item Type:||Conference Paper|
|Additional Information:||Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings|
|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 http://dx.doi.org/10.1007/978-3-642-23318-0_34|
|Deposited On:||02 Jun 2014 02:53|
|Last Modified:||17 Jul 2014 09:39|
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