郑州大学学报（工学版）2012，Vol.33Issue(5)：114-117,4.DOI:10.3969/j.issn.1671-6833.2012.05.025
一种基于社会化标注的查询扩展方法
An Approach of Query Expansion Based on Social Tagging
摘要
Abstract
How to use the social tagging information to improve the effect of query expansion is a current research hotspot in the information retrieval field. In this paper, according to the data characteristics of social tagging systems, we propose a modified social similarity algorithm called " Weighted SimRank" ( WSR) , which is used to improve the effect of query expansion. When the edge weighted values between labels and web pages are calculated, the WSR algorithm takes into account the number of co-occurrence users with tags and web pages as well as the number of different web pages labeled by every same tag. All the experiments are carried out on a real-world annotation data set which is sampled from the website del. icio. us. The experimental results show that our proposed WSR method can effectively measure the similarity of annotations. Compared to the other social-annotation-based methods, WSR produces more useful query expansion information and a-chieves better performance.关键词
查询扩展/社会化标注/SimRank算法/标签相似度Key words
query expansion/ social tagging/ SimRank algorithm/ tag similarity分类
信息技术与安全科学引用本文复制引用
王健,李志斌,林鸿飞..一种基于社会化标注的查询扩展方法[J].郑州大学学报（工学版）,2012,33(5):114-117,4.基金项目
国家自然科学基金资助项目(60673039,60973068) （60673039,60973068）
国家"863"高科技计划资助项目(2006AA01Z151) （2006AA01Z151）
教育部留学回国人员科研启动基金和高等学校博士学科点专项科研基金资助课题(20090041110002) （20090041110002）
