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Neural Collaborative Filtering Classification Model to Obtain Prediction Reliabilities
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 ...
Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
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 ...
Regularização social em sistemas de recomendação com filtragem colaborativa
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Ciências Fisiológicas - PIPGCFCâmpus São Carlos, 2019-05-14)
Models based on matrix factorization are among the most successful implementations of Recommender Systems. In this project, we study the possibilities of incorporating the information
from social networks to improve the ...
Representação vetorial distribuída em sistemas de recomendação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2021-03-26)
Today, with the constant growth in the number of available digital content and ease of access to a huge amount of data, it is increasingly difficult to find relevant information. From this problem, recommender systems ...
Análisis, diseño y construcción de un prototipo de sistema de recomendación basado en principios de redes neuronales
(Universidad Autónoma de Bucaramanga UNABFacultad IngenieríaPregrado Ingeniería de Sistemas, 2006-11)
Este trabajo está enfocado a la implementación de redes neuronales en los algoritmos de filtrado colaborativo. Las redes neuronales juegan un papel importante, que es el de estar aprendiendo las preferencias y el comportamiento ...