Algorithms for Improving Performance of Ranking Pages

摘要：

Traditional algorithms for ranking pages depend on authority or hub values, which are uniformed to all users.Personalization of ranking could be used for different user based on specific interests. In this paper, we consider about the users topic of interest, proposing an improved technique. We present algorithms for ranking pages exploring the link structure; also,we bias the authority measure towards hub values.

关键词： Ranking pages Personalization Hub Topic of interest

作者: KONG Yiqing CHEN Yan

作者单位: School of Information Technology Southern Yangtze University Wuxi, 214122 P.R.China School of Management Fudan University Shanghai, 200433 P.R.China

会议类型: 国际会议

会议名称: 第一届国际计算机新科技与教育学术会议(Proceedings of the First International Conference on Computer Science & Education ICCSE2006)

会议地点: 厦门

会议语种:英文

页码: 35-38

在线出版日期: 2006-07-27（万方平台首次上网日期，不代表论文的发表时间）