Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems

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 ratings dataset. The learning process is based on the binary relevant/non-rele...

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Bibliographic Details
Main Authors: Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, Santiago Alonso
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2020-03-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
classification
collaborative filtering
deep learning
neural network
recommendation systems
scalable neural architecture
Online Access:http://www.ijimai.org/journal/node/3874

Internet

http://www.ijimai.org/journal/node/3874

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