Multi-Feature Extension via Semi-Autoencoder for Personalized Recommendation

Multi-Feature Extension via Semi-Autoencoder for Personalized Recommendation

Over the past few years, personalized recommendation systems aim to address the problem of information overload to help users achieve useful information and make quick decisions. Recently, due to the benefits of effective representation learning and no labeled data requirements, autoencoder-based mo...

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Bibliographic Details
Main Authors:	Yishuai Geng, Yi Zhu, Yun Li, Xiaobing Sun, Bin Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Applied Sciences
Subjects:	multi-feature extension autoencoder personalized recommendation collaborative filtering knowledge graph
Online Access:	https://www.mdpi.com/2076-3417/12/23/12408

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