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A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
In the collaborative filtering recommender systems (CFRS) field, recommendation to group of users is mainly focused on stablished, occasional or random groups. These groups have a little number of users: relatives, friends, ...
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
This paper proposes a scalable and original classification-based deep neural architecture. Its collaborative filtering approach can be generalized to most of the existing recommender systems, since it just operates on the ...