PLEDS: A Personalized Entity Detection System Based on Web Log Mining Techniques

摘要：

With the expansion of the internet, many specialized, high-profile sites have become available that bring very technical subject matter to readers with non-technical backgrounds. While the theme of these sites may be of interest to these readers, the posts themselves may contain terms that non-experts may be unfamiliar with and may wish to know more about. We developed PLEDS, a personalized entity detection system which identifies interesting entities and provides related information for individual users by mining web logs and query logs. The experimental results of a systemic user study shows that with PLEDS’s aid, users can experience the benefits of an enriched internet surfing experience.

作者: Kathleen Tsoukalas Bin Zhou Jian Pei Davor Cubranic

作者单位: School of Computing Science,Simon Fraser University Burnaby,B.C.,Canada Business Objects Vancouver,B.C.,Canada

会议类型: 国际会议

会议名称: The Ninth International Conference on Web-Age Information Management(第九届web时代信息管理国际会议)(WAIM 2008)

会议地点: 张家界

会议语种:英文

在线出版日期: 2008-07-20（万方平台首次上网日期，不代表论文的发表时间）