Improving Accuracy of Recommender System by Clustering Items Based on Stability of User Similarity
Computational Intelligence for Modelling, Control and Automation, International Conference on
By Truong Khanh Quan, Ishikawa Fuyuki, Honiden Shinichi
Issue Date:December 2006
Collaborative Filtering, one of the most widely used approach in Recommender System, predicts a user?s rating towards an item by aggregating ratings given by users having similar preference to that user. In existing approaches, user similarity is often com...