Sparse Data Recommendation by Fusing Continuous Imputation Denoising Autoencoder and Neural Matrix Factorization

Sparse Data Recommendation by Fusing Continuous Imputation Denoising Autoencoder and Neural Matrix Factorization

In recent years, although deep neural networks have yielded immense success in solving various recognition and classification problems, the exploration of deep neural networks in recommender systems has received relatively less attention. Meanwhile, the inherent sparsity of data is still a challengi...

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Bibliographic Details
Main Authors: Xinyue Wan, Bofeng Zhang, Guobing Zou, Furong Chang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
recommender systems
denoising autoencoder
deep neural networks
data imputation
matrix factorization
implicit feedback
Online Access:http://www.mdpi.com/2076-3417/9/1/54

Internet

http://www.mdpi.com/2076-3417/9/1/54

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