摘要
探讨如何在数字图书馆的文献检索平台中集成实现检索结果聚类、相关文献的关联推荐、相关作者和研究机构的关联推荐以及相关词语的关联推荐,由此帮助用户全面提高查准率和查全率,并且对聚类和推荐结果采用图形进行可视化展示,进一步提高用户的使用满意度。
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.
出处
《现代图书情报技术》
CSSCI
北大核心
2008年第2期69-75,共7页
New Technology of Library and Information Service