An efficient method for autoencoder‐based collaborative filtering

Summary Collaborative filtering (CF) is a widely used technique in recommender systems. With rapid development in deep learning, neural network‐based CF models have gained great attention in the recent years, especially autoencoder‐based CF model. Although autoencoder‐based CF model is faster compar...

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Veröffentlicht in:	Concurrency and computation Jg. 31; H. 23
Hauptverfasser:	Wang, Yi‐Lei, Tang, Wen‐Zhe, Yang, Xian‐Jun, Wu, Ying‐Jie, Chen, Fu‐Ji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 10.12.2019
Schlagworte:	Algorithms autoencoder Collaboration collaborative filtering deep learning Filtration Machine learning Neural networks recommender system Recommender systems Training
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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