Using emotion to diversify document rankings

Yashar Moshfeghi, Guido Zuccon, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceedingConference contribution book


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.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval Theory
Subtitle of host publicationThird International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings
EditorsGiambattista Amati, Fabio Crestani
Place of PublicationBerlin
Number of pages5
ISBN (Print)9783642233173, 9783642233180
Publication statusPublished - 1 Sep 2011
EventThird International Conference on the Theory of Information Retrieval - Bertinoro, Italy
Duration: 12 Sep 201114 Sep 2011


ConferenceThird International Conference on the Theory of Information Retrieval
Abbreviated titleICTIR 2011


  • emotion
  • information retrieval systems
  • diversification
  • retrieval effectiveness

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