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Conference papers

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
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 STEAMER - Spatio-temporal information systems
LIG - Laboratoire d'Informatique de Grenoble
Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01574704
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Submitted on : Tuesday, September 12, 2017 - 4:03:07 PM
Last modification on : Wednesday, July 6, 2022 - 4:21:34 AM
Long-term archiving on: : Wednesday, December 13, 2017 - 3:46:16 PM

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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⟩

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