计算机工程2012，Vol.38Issue(15)：50-52,3.DOI:10.3969/j.issn.1000-3428.2012.15.014
一种基于社会化标注的网页检索方法
Web Retrieval Method Based on Social Tagging
摘要
Abstract
This paper concerns with the issue of how to enhance Web retrieval with social annotations. It proposes a weighted social SimRank algorithm to get the similarity information of pages and annotations from social tagging system. The two types of similarity information are used to calculate quality of the pages and the relevance between pages and queries, respectively. And the pages are reordered according to the pages' quality and relevance information. Experiments are carried out on a real-world annotation data set which is sampled from del.icio.us. Experimental results show the significant improvements over traditional methods and the effectiveness of the proposed algorithm.关键词
网页检索/社会化标注/SimRank算法/语言模型/相似度Key words
Web retrieval/ social tagging/ SimRank algorithm/ language model/ 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网页检索方法[J].计算机工程,2012,38(15):50-52,3.基金项目
国家自然科学基金资助项目(60673039,60973068) （60673039,60973068）
国家“863”计划基金资助项目(2006AA01Z151) （2006AA01Z151）
教育部留学回国人员科研启动基金资助项目 （）
高等学校博士学科点专项科研基金资助项目(20090041110002) （20090041110002）
