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

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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Bibliographic Details
Main Authors: Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai, Yong-Gong Ren
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Applied Sciences
Subjects:
interrelationship mining
interrelated attributes
recommender system
item-based collaborative filtering
complete new item cold-start
Online Access:https://www.mdpi.com/2076-3417/9/9/1894

Internet

https://www.mdpi.com/2076-3417/9/9/1894

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