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International Conference on Active Media Technology

AMT 2009: Active Media Technology pp 69–80Cite as

Consumer Decision Making in Knowledge-Based Recommendation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5820))

Abstract

In contrast to customers of bricks and mortar stores, users of online selling environments are not supported by human sales experts. In such situations recommender applications help to identify the products and/or services that fit the user’s wishes and needs. In order to successfully apply recommendation technologies we have to develop an in-depth understanding of decision strategies of users. These decision strategies are explained in different models of human decision making. In this paper we provide an overview of selected models and discuss their importance for recommender system development. Furthermore, we provide an outlook on future research issues.

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Author information

Authors and Affiliations

  1. Applied Software Engineering, Graz University of Technology, Inffeldgasse 16b, A-8010, Graz, Austria

    Monika Mandl, Alexander Felfernig & Monika Schubert

Authors
  1. Monika Mandl
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  2. Alexander Felfernig
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  3. Monika Schubert
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong,  

    Jiming Liu

  2. Department of Energy Systems Engineering Okayama University, 3-1-1 Tsushima-naka, Okayama, Japan

    Jinglong Wu

  3. Department of Computer Science, University of Regina, Regina, S4S 0A2, Saskatchewan, Canada

    Yiyu Yao

  4. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University, Japan

    Toyoaki Nishida

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© 2009 Springer-Verlag Berlin Heidelberg

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Mandl, M., Felfernig, A., Schubert, M. (2009). Consumer Decision Making in Knowledge-Based Recommendation. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds) Active Media Technology. AMT 2009. Lecture Notes in Computer Science, vol 5820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04875-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-04875-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04874-6

  • Online ISBN: 978-3-642-04875-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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