A fuzzy model for managing natural noise in recommender systems
Focus on natural noise management in collaborative filtering recommender systems. The natural noise management is improved through fuzzy tools. The proposal detects the noisy ratings by analysing the user's and item's tendencies. Noisy ratings are corrected by predicting their value with a noise free dataset. The proposal is evaluated on three widely-used recommendation datasets on movies domain and it shows improvements compared with other techniques.
natural noise recommender systems fuzzy logic computing with words