Abstract
Recommender systems have emerged as a powerful tool in addressing the issue of information overload, they allow to filter and select relevant content that fit users’ preferences and needs. In this paper we describe the general architecture of a recommender system which uses users’ profiles to provide personalized and tailored journey to visitors of the Darâa-Tafilalet region. User profile contains various attributes that characterize the user and reflect his behavior. It helps to recommend the best offers for users and therefore to improve touristic experiences in the region Draâ-Tafilalet.
M. L. C. Malinine—Delegate of Tourism of the Provinces Ouarzazate, Zagora and Tinghir - Morocco.
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Boulaalam, O., Aghoutane, B., El Ouadghiri, D., Moumen, A., Malinine, M.L.C. (2020). Design of a Tourism Recommendation System Based on User’s Profile. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-030-36671-1_19
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