Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
作者：
Highlights：
• We provide detailed analysis of gray-sheep users problem in recommender systems.
• We show how conventional collaborative filtering fail for gray-sheep users problem.
• We use K-means clustering to separate these users from rest of the users.
• We propose switching hybrid recommender system to overcome this problem.
摘要
•We provide detailed analysis of gray-sheep users problem in recommender systems.•We show how conventional collaborative filtering fail for gray-sheep users problem.•We use K-means clustering to separate these users from rest of the users.•We propose switching hybrid recommender system to overcome this problem.
论文关键词：Gray-sheep users,Recommender systems,Collaborative filtering,K-Means clustering
论文评审过程：Available online 23 November 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.11.010
