Online Change Detection in Individual Web User Behaviour
Based on our field studies and consultations with field experts, we identified three main problems that are of key importance to online web personalization and customer relationship management: 1) detecting changes in individual behaviour, 2) reporting on user actions that may need special care, and 3) detecting changes in visitation frequency. We propose solutions to these problems and experiment on real-world data from an investment bank collected over 1.5 years of web traffic. These solutions can be applied on any domains where individuals tend to revisit the website and can be identified accurately.
Incremental Web Mining User Profiling Change Detection
Peter I. Hofgesang Jan Peter Patist
VU University Amsterdam, Department of Computer Science De Boelelaan 1081A, 1081 HV Amsterdam, The Netherlands
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）