Role of emotional features in collaborative recommendation

Yashar Moshfeghi, Joemon M. Jose

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

5 Citations (Scopus)

Abstract

The aim of this poster is to investigate the role of emotion in the collaborative filtering task. For this purpose, a kernel-based collaborative recommendation technique is used. The experiment is conducted on two MovieLens data sets. The emotional features are extracted from the movie reviews and plot summaries. The results show that emotional features are capable of enhancing recommendation effectiveness.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval
Subtitle of host publication33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings
EditorsPaul Clough, Colum Foley, Cathal Gurrin, Gareth J. F. Jones, Wessel Kraaij, Hyowon Lee, Vanessa Mudoch
Place of PublicationBerlin
PublisherSpringer
Pages738-742
Number of pages5
ISBN (Print)9783642201608, 9783642201615
DOIs
Publication statusPublished - 4 Jun 2011
Event33rd European Conference on IR Research - Dublin, Ireland
Duration: 18 Apr 201121 Apr 2011

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume6611

Conference

Conference33rd European Conference on IR Research
Abbreviated titleECIR 2011
CountryIreland
CityDublin
Period18/04/1121/04/11

Keywords

  • collaborative filtering
  • emotion
  • recommendation effectiveness

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  • Cite this

    Moshfeghi, Y., & Jose, J. M. (2011). Role of emotional features in collaborative recommendation. In P. Clough, C. Foley, C. Gurrin, G. J. F. Jones, W. Kraaij, H. Lee, & V. Mudoch (Eds.), Advances in Information Retrieval: 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings (pp. 738-742). (Lecture Notes in Computer Science; Vol. 6611). Berlin: Springer. https://doi.org/10.1007/978-3-642-20161-5_83