Hybrid recommender system based on fuzzy clustering and collaborative filtering

Recommender systems have achieved widespread success for e-commerce companies. Significant growth of customers and products poses key challenges for recommender system namely sparsity and scalability. In this paper, a hybrid system is proposed that is capable of handling these issues that is based on collaborative filtering and fuzzy c-means clustering algorithms. Experimental results show the effectiveness of the proposed recommender system.