Using emotion to diversify document rankings
| Data(s) |
2011
|
|---|---|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Springer Berlin Heidelberg |
| Relação |
http://eprints.qut.edu.au/69281/1/moshfeghi2011a.pdf DOI:10.1007/978-3-642-23318-0_34 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. |
| Direitos |
Copyright 2011 Springer-Verlag GmbH Berlin Heidelberg The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23318-0_34 |
| Fonte |
Institute for Future Environments; School of Information Systems; Science & Engineering Faculty |
| Tipo |
Conference Paper |
