Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework

Collaborative Adversarial Autoencoders: An Effective Collaborative Filtering Model Under the GAN Framework

Recently, deep learning has become a preferred choice for performing tasks in diverse application domains such as computer vision, natural language processing, sensor data analytics for healthcare, and collaborative filtering for personalized item recommendation. In addition, the Generative Adversar...

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Bibliographic Details
Main Authors: Dong-Kyu Chae, Jung Ah Shin, Sang-Wook Kim
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
deep learning
generative adversarial networks
recommender systems
Online Access:https://ieeexplore.ieee.org/document/8669749/

Internet

https://ieeexplore.ieee.org/document/8669749/

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