%0 Journal Article
%T Study on Digital Library Collaborative Filtering Technology Based on Group Interest Trend Degree<br>基于群体兴趣偏向度的数字图书馆协同过滤技术研究*
%A Ma Li
%A <br>马丽
%J 现代图书情报技术
%D 2007
%I 
%X 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.
%K Collaborative filtering Group interest trend degree Mean absolute error<br>协同过滤
%K 群体兴趣偏向度
%K 平均绝对偏差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=ECB8206CA6A2608DBE53ACEE9334A58B&yid=A732AF04DDA03BB3&vid=0B39A22176CE99FB&iid=F3090AE9B60B7ED1&sid=2A8D03AD8076A2E3&eid=BC12EA701C895178&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=11