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Listar por autor "Alonso, Santiago"
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A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; Hurtado, Remigio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)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
Bobadilla, Jesús; Ortega, Fernando; Gutiérrez, Abraham; Alonso, Santiago (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)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 ... -
Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities
Bobadilla, Jesús; Gutiérrez, Abraham; Alonso, Santiago; González-Prieto, Ángel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Neural collaborative filtering is the state of art field in the recommender systems area; it provides some models that obtain accurate predictions and recommendations. These models are regression-based, and they just return ...