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Mood and Recommendations: On Non-cognitive Mood Inducers for High Quality Recommendation

  • Conference paper
Computer-Human Interaction (APCHI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5068))

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Abstract

Watching a comedy can help a user escape from the negative mood, which in turn affect the user’s feedback over the movie. In other words, a non-cognitive mood inducer (the movie) can affect a user’s post-consumption evaluation over the inducer (the rating the user give) which is directly associated with users’ assessment over consumed goods. If these goods are generated from a recommender system, they will then directly affect the performance of the system. As such, our study attempts to enrich our understanding of the inducers and their effects in the recommendation performance. In addition, this paper provides a preliminary exploration of a mood-based filter to enhance the interaction between human and the system.

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Author information

Authors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR,  

    Tiffany Y. Tang

  2. Department of Computer Science, Konkuk University, Chungju-Si, 380-701, Korea

    Pinata Winoto

Authors
  1. Tiffany Y. Tang
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  2. Pinata Winoto
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Editor information

Seongil Lee Hyunseung Choo Sungdo Ha In Chul Shin

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© 2008 Springer-Verlag Berlin Heidelberg

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Tang, T.Y., Winoto, P. (2008). Mood and Recommendations: On Non-cognitive Mood Inducers for High Quality Recommendation. In: Lee, S., Choo, H., Ha, S., Shin, I.C. (eds) Computer-Human Interaction. APCHI 2008. Lecture Notes in Computer Science, vol 5068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70585-7_11

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  • DOI: https://doi.org/10.1007/978-3-540-70585-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70584-0

  • Online ISBN: 978-3-540-70585-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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