Collaborative Filtering Recommendation Method Based on Clustering of Users
Lei Cao · Computer Technology and Development · 2009
In order to raise service efficiency of the recommendation system,an improved collaborative filtering recommendation method based on clustering of users is proposed.This new method revises the original similarity using users' interest in item,takes synthetically into account the influence of users' interest in item and users rating.The experimental results show that the presented method not only reduces the search space for nearest neighbors but also improves the performance of CF systems in recommendation quality and efficiency.