%A Ji Yonghui %T A Research on Retrieval Results Clustering and Relevant Recommendation in Digital Library %0 Journal Article %D 2008 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2008.02.13 %P 69-75 %V 24 %N 2 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_513.shtml} %8 2008-02-25 %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.