Users Psychological Profiles for Leisure Activity Recommendation: User Study

Diana Nurbakova (1) , Léa Laporte (1) , Sylvie Calabretto (1) , Jérôme Gensel (2)

1 DRIM - Distribution, Recherche d'Information et Mobilité
2 STEAMER - Spatio-temporal information systems

Leisure activities are essential in the individual's pursuit of well-being and higher satisfaction with life. In the last few years, the event-based social networks and event-promoting services on Face-book, Couchsurfing etc., have seen a boosting use. Their users are looking for personalised experience but they are often overwhelmed with the number of available options. To overcome this issue, rec-ommender systems serve as users' personal guides. They exploit various techniques and types of influence (geographic, temporal, social, etc.). In this work, we investigate the impact of individu-als' psychological profiles on their selection of leisure activities. We describe a comprehensive user study that we have conducted and an associated collection that could be further exploited for the recommendation of leisure activities.

Mots clés: recommendation of leisure activities; psychology-driven model; collection; orientations to happiness; personality traits

Domaines: Recherche d'information [cs.IR]; Psychologie

Diana Nurbakova, Léa Laporte, Sylvie Calabretto, Jérôme Gensel. Users Psychological Profiles for Leisure Activity Recommendation: User Study. Proceedings of CitRec 2017: Workshop on Recommender Systems for Citizens, Aug 2017, Como, Italy. ⟨10.1145/3127325.3127328⟩. ⟨hal-01574704⟩