CQIG : An Improved Web Search Results Clustering Algorithm

摘要：

Massive linear search results returned from traditional search engines bring much inconvenience to users when extract the information they need. Search result clustering is of critical need for grouping similar topics of documents. The existing algorithm has drawbacks in clustering labels screening, cluster quality assessment, overlapping clusters controlling. The improved clustering algorithm-CQIG, which based on LINGO, improved the cluster and cluster label scoring function, increased the cluster merging process and improved the processing effect of Chinese. Finally, a recommended platform for Web search results clustering is established based on carrot2 framework to prove the accuracy, distinction and readability of CQIG.

关键词： search results clustering singular value decomposition clustering quality assessment cluster label Introduction

作者: REN Yong-gong FAN Dan

作者单位: School of Computer and Information Technology Liaoning Normal University Dalian, China

会议类型: 国际会议

会议名称: 2010 Seventh Web Information System and Applications Conference(第七届全国web信息系统及其应用学术会议)

会议地点: 呼和浩特

会议语种:英文

页码: 75-78

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）