%0 Journal Article
%T A Research on Retrieval Results Clustering and Relevant Recommendation in Digital Library<br>数字图书馆中的检索结果聚类和关联推荐研究
%A Ji Yonghui
%A <br>吉雍慧
%J 现代图书情报技术
%D 2008
%I 
%X This paper discusses how to implement the clustering of document retrieval results, the relevant recommendation of related documents, related authors & organizations and related key-words. The author presents how to visualize the results of clustering and recommendation in graph on the documents retrieval platform of digital library, which can increase the users’ satisfaction.
%K Digital library Documents retrieval Clustering Relevant recommendation Visualization GDI
%K K-Means algorithm<br>数字图书馆
%K 文献检索
%K 聚类
%K 关联推荐
%K 可视化
%K GDI
%K K-Means算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=A55DFC35917020468371AFC81101475D&yid=67289AFF6305E306&vid=38B194292C032A66&iid=0B39A22176CE99FB&sid=CB423C9A71560A74&eid=80A07035DF96B0C4&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=15