A novel deep recommend model based on rating matrix and item attributes

Traditional recommendation systems only consider the content of users to predict the rating of items in the recommendation process, and ignore the impact of other factors on the recommendation process except for the user-item rating matrix. Recommendation models that are based on item attributes can...

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Veröffentlicht in:	Journal of intelligent information systems 2021-10, Vol.57 (2), p.295-319
Hauptverfasser:	Sun, Liping, Liu, Xiaoqing, Liu, Yuanjun, Wang, Tao, Guo, Liangmin, Zheng, Xiaoyao, Luo, Yonglong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Computer Science Data Structures and Information Theory Decay rate Deep learning Feature extraction Information Storage and Retrieval IT in Business Machine learning Natural Language Processing (NLP) Neural networks Recommender systems
Online-Zugang:	Volltext
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