A Research on Retrieval Results Clustering and Relevant Recommendation in Digital Library
数字图书馆中的检索结果聚类和关联推荐研究

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.