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Group Decision-Making and Designing Group Recommender Systems

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Handbook of e-Tourism

Abstract

Designing (group) recommender systems in the travel and tourism domain is a difficult task, considering the complexity and intangibility of a tourism product, i.e., (i) it is a bundle of products and services; (ii) it is an emotional experience; (iii) it is difficult to characterize users’ travel-related preferences explicitly (especially in the early phase of the travel decision-making process); and, finally, (iv) traveling is usually a group activity. Therefore, to support travel-related group decision-making process and to suggest appropriate items introduce new challenges into the overall picture. In comparison to individual decision-making and recommendations, when a group of people is faced with a decision task, group dynamics comes to play. In fact, group members’ preferences are usually not so uniform; thus a conflict might arise. In a group discussion, opinion shift might occur due to group members’ influence on each other by exchanging experiences, information, preferences, etc. Moreover, emotional contagion is a phenomenon that explains how satisfaction/dissatisfaction of one member might contaminate the others in the group. All of these group behavioral aspects are greatly affected by group members’ individual personalities and their intragroup relationships. In this chapter, we provide an overview of the research done in the field of group decision-making, group recommender systems, and group personalization in the travel and tourism domain.

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Author information

Authors and Affiliations

  1. Faculty of Informatics, EC Research Unit, TU Wien, Vienna, Austria

    Amra Delić

  2. Free University of Bozen-Bolzano, Bolzano, Italy

    Thuy Ngoc Nguyen

  3. University of Primorska, Koper, Slovenia

    Marko Tkalčič

Authors
  1. Amra Delić
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  2. Thuy Ngoc Nguyen
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  3. Marko Tkalčič
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Corresponding author

Correspondence to Amra Delić .

Editor information

Editors and Affiliations

  1. Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA

    Zheng Xiang

  2. Department of Tourism Studies and Geography, Mid Sweden University, Östersund, Sweden

    Matthias Fuchs

  3. Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA, USA

    Ulrike Gretzel

  4. Department of Business Informatics, University of Applied Sciences Ravensburg-Weingarten, Weingarten, Germany

    Wolfram Höpken

Section Editor information

  1. Department of Tourism Study & Geography, The European Tourism Research Institute, Mid-Sweden University, Östersund, Jämtland, Sweden

    Matthias Fuchs

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Delić, A., Nguyen, T.N., Tkalčič, M. (2020). Group Decision-Making and Designing Group Recommender Systems. In: Xiang, Z., Fuchs, M., Gretzel, U., Höpken, W. (eds) Handbook of e-Tourism. Springer, Cham. https://doi.org/10.1007/978-3-030-05324-6_57-1

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  • DOI: https://doi.org/10.1007/978-3-030-05324-6_57-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05324-6

  • Online ISBN: 978-3-030-05324-6

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