Cross-Domain Recommendation Based on Sentiment Analysis and Latent Feature Mapping

Cross-domain recommendation is a promising solution in recommendation systems by using relatively rich information from the source domain to improve the recommendation accuracy of the target domain. Most of the existing methods consider the rating information of users in different domains, the label...

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Главные авторы:	Yongpeng Wang, Hong Yu, Guoyin Wang, Yongfang Xie
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2020-04-01
Серии:	Entropy
Предметы:	cross-domain recommendation sentiment analysis latent sentiment review feature non-linear mapping
Online-ссылка:	https://www.mdpi.com/1099-4300/22/4/473
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