计算机工程与应用2012，Vol.48Issue(3)：129-132,4.DOI:10.3778/j.issn.1002-8331.2012.03.038
基于文本聚类搜索引擎的查询扩展算法
Query recommendation algorithm based on text clustering search engine
摘要
Abstract
Most of the researches on search engine based on text clustering doesn't provide a good solution for deep searching with small clusters. To solve this kind of problems, a query recommendation algorithm based on clustering is proposed. This algorithm improves the similarity formula utilizing the hierarchical clustering results generated by text clustering, then searches for the target clusters using the extracted key-words, processes the result set using K-median clustering algorithm for recommendation. All the processes are done offline to avoid online computing. The algorithm is proved effective by experiment.关键词
K中值聚类/主题词提取/相似度计算/查询扩展Key words
K-median/ key-words extraction/ similarity formula/ query recommendation分类
信息技术与安全科学引用本文复制引用
袁津生,程超然..基于文本聚类搜索引擎的查询扩展算法[J].计算机工程与应用,2012,48(3):129-132,4.
