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...

Celý popis

Podrobná bibliografia

Vydané v:	SSCI : 2017 IEEE Symposium Series on Computational Intelligence : November 27, 2017-December 1, 2017 s. 1 - 6
Hlavní autori:	Wang, Pan, Zuo, Xingquan, Guo, Congcong, Li, Ruihong, Zhao, Xinchao, Luo, Chaomin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2017
Predmet:	hybrid algorithm Linear programming Matrix decomposition Measurement multiobjective optimization algorithms recommendation algorithms Sociology Sparse matrices Statistics Telecommunications
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!