Study on Digital Library Collaborative Filtering Technology Based on Group Interest Trend Degree
基于群体兴趣偏向度的数字图书馆协同过滤技术研究*

Collaborative filtering recommendation systems in digital library have faced the problem of sparse user ratings.To solve the problem,a computing method of group interest trend degree has been proposed and used into the prediction of vacant values in user-item matrix.The experimental results show that the algorithm can efficiently improve recommendation quality.