A Clustering Algorithm of No-Word-Segmentation for Chinese Search Engine Results

摘要：

Along with information on the Internet increasing dramatically, People usually search and locate information that they needed by search engines. Clustering search engine results is an effective method to help people select information needed from the list of search engine results. The paper presents a clustering algorithm of no-word-segmentation for Chinese search engine results (CANWS). The algorithm firstly preprocesses the search engine results and then computes the similarities of the results based on the same sub-string. Lastly it clusters the results based on the similarity matrix. The paper also gives test and analysis of the algorithm performance by experiments.

关键词： search engine results clustering results similarity algorithm clustering algorithm

作者: Deqing Wang Hui Zhang Liping Zhao Ke Xie

作者单位: Beihang University, State Key Lab of Software Development Environment, Beijing 100083

会议类型: 国际会议

会议名称: 2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-10-29（万方平台首次上网日期，不代表论文的发表时间）