计算机工程与科学2011，Vol.33Issue(6)：130-132,3.DOI:10.3969/j.issn.1007-130X.2011.06.025
基于主题词匹配频数的搜索引擎结果聚类算法
An Algorithm for the Search Results Clustering Based on Topic Words Matching Frequency
摘要
Abstract
Search engine results clustering has a high application value to the search service quality and the intelligence level, which clusters by seeking the document relations from the title and the document segment information. An algorithm based on topic words matching frequency is proposed. It automatically generate categories according to the graph of the semantic relevance, with other results clustering by topic words matching frequency. Experiments show that, compared with the STC and LINGO algorithms, the algorithm performs better.关键词
搜索结果聚类/词间语义相关度/文档相似度Key words
search results clustering/ semantic relevance between words/ document similarity/ topic word分类
信息技术与安全科学引用本文复制引用
胡诗未,李晓峰,徐伟..基于主题词匹配频数的搜索引擎结果聚类算法[J].计算机工程与科学,2011,33(6):130-132,3.基金项目
国家自然科学基金资助项目(60736046) （60736046）
