SDAE-LFM: A Latent Factor Model for Recommendation Based on Stack Denoising AutoEncoder

Recommendation methods usually associated with data sparsity. The traditional recommendation methods take the users' rating information as the recommendation basis, which ignore the latent features that can be taking into consideration to model for better recommendations. In order to deal with...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 1646; no. 1; pp. 12151 - 12157
Main Authors:	Luo, Jianyan, Xing, Xing, Zheng, Hang, Xin, Mindong, Jia, Zhichun
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.09.2020
Subjects:	Algorithms Deep learning Feature extraction Machine learning Noise reduction Physics Recommender systems
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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