A multiobjective genetic algorithm based hybrid recommendation approach

Personalized recommendation approaches have received much attention over the years. In this paper, we propose a hybrid recommendation approach that integrates an item-based collaborative filtering, a user-based collaborative filtering and a matrix factorization method. The approach considers the two...

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Veröffentlicht in:	SSCI : 2017 IEEE Symposium Series on Computational Intelligence : November 27, 2017-December 1, 2017 S. 1 - 6
Hauptverfasser:	Wang, Pan, Zuo, Xingquan, Guo, Congcong, Li, Ruihong, Zhao, Xinchao, Luo, Chaomin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2017
Schlagworte:	hybrid algorithm Linear programming Matrix decomposition Measurement multiobjective optimization algorithms recommendation algorithms Sociology Sparse matrices Statistics Telecommunications
Online-Zugang:	Volltext
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