A Hybrid Collaborative Filtering Recommendation Algorithm for Solving the Data Sparsity
Ying He, Shaoyu Yang, Chenbin Jiao · 2011
With the huge electronic data's explosion in the commercial and the service area, the collaborative filtering technology attracts many of researchers' attention. In this paper, we provide a hybrid collaborative filtering recommendation algorithm, which based on the research and analyses for the data sparsity and the similarity accuracy. The simulation result indicates that the algorism can solve effectively the extreme data sparsity and promote the similarity accuracy in collaborative filtering.