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Group Recommender Applications

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Group Recommender Systems

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

In this chapter, we present an overview of different group recommender applications. We organize this overview into the application domains of music, movies and TV programs, travel destinations and events, news and web pages, healthy living, software engineering, and domain-independent recommenders. Each application is analyzed with regard to the characteristics of group recommenders as introduced in Chap. 2.

Alexander Felfernig, Müslüm Atas, Martin Stettinger,Thi Ngoc Trang Tran, and Stefan Reiterer

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Notes

  1. 1.

    www.eventhelpr.com.

  2. 2.

    An overview of the application of recommendation technologies in the healthy food domain can be found, for example, in Tran et al. [35].

  3. 3.

    www.planitpoker.com.

  4. 4.

    www.choicla.com.

  5. 5.

    www.doodle.com.

  6. 6.

    www.choiclaweb.com.

  7. 7.

    www.movielens.org.

  8. 8.

    www.openreq.eu.

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Authors and Affiliations

  1. Institute for Software Technology, Graz University of Technology, Graz, Austria

    Alexander Felfernig & Martin Stettinger

  2. EURECAT, Centre Tecnológico de Catalunya, Barcelona, Spain

    Ludovico Boratto

  3. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Marko Tkalčič

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  1. Alexander Felfernig
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  2. Ludovico Boratto
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  3. Martin Stettinger
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  4. Marko Tkalčič
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Felfernig, A., Boratto, L., Stettinger, M., Tkalčič, M. (2018). Group Recommender Applications. In: Group Recommender Systems . SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-75067-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-75067-5_4

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