Addressing Complete New Item Cold-Start Recommendation: A Niche Item-Based Collaborative Filtering via Interrelationship Mining

Recommender system (RS) can be used to provide personalized recommendations based on the different tastes of users. Item-based collaborative filtering (IBCF) has been successfully applied to modern RSs because of its excellent performance, but it is susceptible to the new item cold-start problem, es...

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Autors principals:	Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai, Yong-Gong Ren
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2019-05-01
Col·lecció:	Applied Sciences
Matèries:	interrelationship mining interrelated attributes recommender system item-based collaborative filtering complete new item cold-start
Accés en línia:	https://www.mdpi.com/2076-3417/9/9/1894
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