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 T; Ricci F (CEUR-WS, 2016)In this poster we illustrate the interaction design of a mobile system that facilitates group decision making by allowing group members to be engaged in a discussion which is actively supported by recommendation functions ...
Proceedings of the Workshop on Location-Aware Recommendations (LocalRec 2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys 2015) Bouros, P; Lathia, N; Renz, M; Ricci, F; Sacharidis, D (CEUR, 2015)