Using emotion to diversify document rankings

Moshfeghi, Y., Zuccon, G. and Jose, J.M. (2011) Using emotion to diversify document rankings. Lecture Notes in Computer Science, 6931, pp. 337-341. (doi: 10.1007/978-3-642-23318-0_34)

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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.

Item Type:Articles
Additional Information:Presented at Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011.
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Moshfeghi, Dr Yashar and Zuccon, Mr Guido
Authors: Moshfeghi, Y., Zuccon, G., and Jose, J.M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Lecture Notes in Computer Science
ISSN (Online):0302-9743

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