Leveraging clustering approaches to solve the gray-sheep users problem in recommender systems
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.
gray-sheep users recommender systems collaborative filtering k-means clustering