HU-FCF: A hybrid user-based fuzzy collaborative filtering method in Recommender Systems
作者：
Highlights：
• We proposed a systematic mathematical definition of Fuzzy Recommender Systems.
• Some algebraic operations accompanied with their properties were described.
• We proposed a novel hybrid user-based fuzzy collaborative filtering method.
• This algorithm obtained better accuracy than the relevant fuzzy filtering methods.
• An application for the football results prediction was illustrated.
摘要
•We proposed a systematic mathematical definition of Fuzzy Recommender Systems.•Some algebraic operations accompanied with their properties were described.•We proposed a novel hybrid user-based fuzzy collaborative filtering method.•This algorithm obtained better accuracy than the relevant fuzzy filtering methods.•An application for the football results prediction was illustrated.
论文关键词：Football results prediction,Fuzzy Recommender Systems,Fuzzy similarity degrees,Hard user-based degrees,Hybrid fuzzy collaborative filtering
论文评审过程：Available online 10 May 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.001
