UTSP: User-Based Two-Step Recommendation With Popularity Normalization Towards Diversity and Novelty

Information technologies such as e-commerce and e-news bring overloaded information as well as convenience to users, cooperatives and companies. Recommender system is a significant technology in solving this information overload problem. Due to the outstanding accuracy performance in top- N recomme...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.145426-145434
Hauptverfasser:	Niu, Ke, Zhao, Xiangyu, Li, Fangfang, Li, Ning, Peng, Xueping, Chen, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Agriculture Algorithms collaborative filtering Information technology Measurement Overloading popularity normalization Prediction algorithms Predictive models Recommender systems Top-N recommendation two-step recommendation algorithm
Online-Zugang:	Volltext
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