
教授 博士生导师 硕士生导师
性别:男
毕业院校:中国科技大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术
软件工程
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发布时间:2019-03-12
论文类型:会议论文
发表时间:2007-11-01
收录刊物:Scopus、CPCI-SSH、CPCI-S、EI
页面范围:149-151
摘要:Link Analysis plays an important role in Web Information Retrieval. Most of the existing link analysis algorithms use link as the main factor to determine the importance of a web page, which can not reflect complicated relationships among web pages. In this paper, we propose G-HITS (Gravitation-Based HITS), which condenses useful information associate to a web as its "mass", and reflects relationship between two web pages as "attractive force" inspired by Newton's theory of gravitation, thus giving a physical interpretation for link analysis. Experimental results show that G-HITS is more reasonable to interpret link analysis problems and it can identify higher quality authorities on given topics.