A Chat-Based Group Recommender System for Tourism
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Group recommender systems aim at supporting a group of users in making decisions when considering a set of alternatives. State of the art solutions aggregate individual preferences acquired before the actual decision making process and suggest items that fit the aggregated model. In this paper, we illustrate a different approach, which is implemented in a system that records and uses the users’ preferences expressed while the group discusses options. The system monitors users’ interactions and offers appropriate directions and recommendations. The system runs on a smartphone and acts as a facilitator to guide and help the group members in coming up with an agreement and a final decision. In order to measure the effectiveness of the proposed technologies we have focussed on usability and perceived recommendation quality. In a controlled live user study, we have measured a high usability score, good user-perceived recommendation quality and choice satisfaction.
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Delic A; Neidhardt J; Nguyen N; Ricci F (CEUR-WS, 2016)In this article we argue that the research on group recommender systems must look more carefully at group dynamics in decision making in order to produce technologies that will be truly beneficial for users. Hence, we ...
Nguyen TN; Ricci F (CEUR-WS.org, 2017)In group decision making, users' behaviour are influenced by their long-Term and group-induced preferences. However, how to leverage them is challenging due to their dynamic nature, which is also dependent on the specific ...
Felfernig A; Boratto L; Stettinger M; Tkalcic M (Springer International Publishing, 2018)This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include ...