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A chat-based group recommender system for tourism

Author

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  • Thuy Ngoc Nguyen

    (Free University of Bozen-Bolzano)

  • Francesco Ricci

    (Free University of Bozen-Bolzano)

Abstract

Group recommender systems are information filtering and decision support applications that are aimed at aiding a group of users in making decisions when they are considering a set of alternatives. State of the art solutions aggregate users’ preferences acquired before the actual decision making process and suggest items that fit the aggregated model. However, it has been shown that the recommendation needs of groups go beyond the identification of such items, and it is essential to take into account, in the recommendation process, the dynamic of users’ interactions in their real group context. In this paper, we therefore illustrate a novel approach to group recommendation, which is implemented in a mobile system, that monitors and exploits users’ interactions during a group discussion, and offers appropriate recommendations as well as other types of suggestions, to guide and help the group members in settling on an agreement. We have carried out a preliminary user study of the proposed approach to assess and analyze the usability of the system along with the perceived recommendation quality and choice satisfaction. The results of this study are encouraging as they show that the proposed approach attains a high usability score, and has good user-perceived recommendation quality as well as choice satisfaction.

Suggested Citation

  • Thuy Ngoc Nguyen & Francesco Ricci, 2018. "A chat-based group recommender system for tourism," Information Technology & Tourism, Springer, vol. 18(1), pages 5-28, April.
    • Handle: RePEc:spr:infott:v:18:y:2018:i:1:d:10.1007_s40558-017-0099-y
    DOI: 10.1007/s40558-017-0099-y
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    References listed on IDEAS

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    1. Kadri Sylejmani & Jürgen Dorn & Nysret Musliu, 2017. "Planning the trip itinerary for tourist groups," Information Technology & Tourism, Springer, vol. 17(3), pages 275-314, September.
    2. Matthias Braunhofer & Mehdi Elahi & Francesco Ricci & Thomas Schievenin, 2013. "Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management," Springer Books, in: Zheng Xiang & Iis Tussyadiah (ed.), Information and Communication Technologies in Tourism 2014, edition 127, pages 87-100, Springer.
    3. Kadri Sylejmani & Jürgen Dorn & Nysret Musliu, 0. "Planning the trip itinerary for tourist groups," Information Technology & Tourism, Springer, vol. 0, pages 1-40.
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    Cited by:

    1. Rakhi Saxena & Sharanjit Kaur & Harita Ahuja & Sunita Narang, 2024. "Leveraging item attribute popularity for group recommendation," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2645-2655, June.
    2. Huang, Chao & Ding, Yi & Hu, Weihao & Jiang, Yi & Li, Yongzhen, 2021. "Cost-Based attraction recommendation for tour operators under stochastic demand," Omega, Elsevier, vol. 102(C).
    3. Liao, Zhixue & Zheng, Weimin & Lin, Zhibin, 2022. "Time apart while together: A smart trip design for group travelers," Annals of Tourism Research, Elsevier, vol. 93(C).

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