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
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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Communication dans un congrès
Proceedings of CitRec 2017: Workshop on Recommender Systems for Citizens, Aug 2017, Como, Italy. Proceedings of CitRec 2017: Workshop on Recommender Systems for Citizens, 〈https://yangjiera.github.io/citrec2017/〉
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Contributeur : Diana Nurbakova <>
Soumis le : mardi 12 septembre 2017 - 16:03:07
Dernière modification le : jeudi 14 septembre 2017 - 01:03:32

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  • HAL Id : hal-01574704, version 1

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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. Proceedings of CitRec 2017: Workshop on Recommender Systems for Citizens, 〈https://yangjiera.github.io/citrec2017/〉. 〈hal-01574704〉

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