Etude de la diversité la nouveauté pertinence dans les systèmes de recommandation

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dc.contributor.authorBerbague, Chems eddine
dc.date.accessioned2024-06-30T09:51:02Z
dc.date.available2024-06-30T09:51:02Z
dc.date.issued2021
dc.description.abstractRecommender systems are an active research filed essentially in the domain of e-commerce, whereas the objective is to satisfy the users. The main task of a recommender system consists of modeling the users' behaviour by mining their past data to identify their preferences patterns, and recommending them the most interesting items. Such systems have known use in e-commerce, social media applications, and web personalizing.
dc.identifier.urihttps://dspace.univ-annaba.dz//handle/123456789/3550
dc.language.isofr
dc.titleEtude de la diversité la nouveauté pertinence dans les systèmes de recommandation
dc.typeThesis
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