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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Hlavní autoři:	Xinyue Wan, Bofeng Zhang, Guobing Zou, Furong Chang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2018-12-01
Edice:	Applied Sciences
Témata:	recommender systems denoising autoencoder deep neural networks data imputation matrix factorization implicit feedback
On-line přístup:	http://www.mdpi.com/2076-3417/9/1/54
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