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Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations

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Foundations of Intelligent Systems (ISMIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12117))

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Abstract

Recommender systems are systems that help users in decision-making situations where there is an abundance of choices. We can find them in our everyday lives, for example in online shops. State-of-the-art research in recommender systems has shown the benefits of behavioural modeling. Behavioural modeling means that we use past ratings, purchases, clicks etc. to model the user preferences. However, behavioural modeling is not able to capture certain aspects of the user preferences. In this talk I will show how the usage of complementary research in cognitive models, such as personality and emotions, can benefit recommender systems.

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Notes

  1. 1.

    https://youtu.be/lYcDR8z-rRY?t=4727.

  2. 2.

    https://twitter.com/ylecun/status/1201233472989356032.

  3. 3.

    Marcus, Gary, Artificial Intelligence Is Stuck. Here’s How to Move It Forward. New York Times, July 29, 2017.

  4. 4.

    https://www.affectiva.com/.

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Authors and Affiliations

  1. Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000, Koper, Slovenia

    Marko Tkalčič

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  1. Marko Tkalčič
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Correspondence to Marko Tkalčič .

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Editors and Affiliations

  1. Graz University of Technology, Graz, Austria

    Denis Helic

  2. University of Klagenfurt, Klagenfurt, Austria

    Gerhard Leitner

  3. Graz University of Technology, Graz, Austria

    Martin Stettinger

  4. Graz University of Technology, Graz, Austria

    Alexander Felfernig

  5. University of North Carolina at Charlotte, Charlotte, NC, USA

    Zbigniew W. Raś

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Tkalčič, M. (2020). Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2020. Lecture Notes in Computer Science(), vol 12117. Springer, Cham. https://doi.org/10.1007/978-3-030-59491-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-59491-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59490-9

  • Online ISBN: 978-3-030-59491-6

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