A Collaborative Filtering Algorithm Based on Double Clustering and User Trust
Tonglong Tang, Xiaoyu Li · 2016
A collaborative filtering algorithm based on double clustering and user trust to solve data sparse and cold start problem is present.This algorithm uses user-clustering matrix to measure the user's degree of similarity, which could reduce the dimension of the user-item matrix.On the other hand it uses user level trust to perform predictions in rating predicting step.The experiments results show that this method could relieve the sparsity problem and improve the accuracy of the prediction results.