APPLIED RESEARCH OF QUERY-BIASED SUMMARY IN THE RELEVANCE JUDGMENT OF CHINESE WEB PAGES

摘要：

In order to overcome the shortcomings of insufficient information return by traditional search engine, improve the speed and accuracy of relevance judgment, a new sentence scoring method is proposed, which incorporate weighted query phrases and the structure information into sentence scoring based on the phrase recognition of the query and the analysis of structure of Web Pages. Mutual Information (Ml) between keywords is used to recognize query phrases; Useful information for the summary is mined from the structure of Web Pages. Experimental results show that the improved algorithm performs better in the speed and accuracy of relevance judgment than the existing methods.

关键词： Information retrieval Query-biased summary Relevance judgment Phrase recognition

作者: XIAO-YU JIANG XIAO-ZHONG FAN KE-LIANG JIA JIE LIU

作者单位: School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China Bu School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1604-1609

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）