Session I: Web personalization and recommender systems
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa, Yuqing Sun, Jim
Wiltshire
Discovery of Aggregate Usage Profiles for Web Personalization (long paper), (slides)
Slobodan Vucetic and Zoran Obradovic
A Regression-Based Approach for Scaling-Up Personalized Recommender
Systems in E-Commerce (long paper)
Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl
Application of Dimensionality Reduction in Recommender System --
A Case Study (long paper), (slides)
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
Collaborative Recommendation via Adaptive Association Rule Mining (short paper), (slides)
Wei-Lun Chang, Soe-Tsyr Yuan
A Synthesized Learning Approach for Web-Based CRM (short paper)
Session II: Mining frameworks and case-studies
Suhail Ansari, Ron Kohavi, Llew Mason, and Zijian Zheng
Integrating E-Commerce and Data Mining: Architecture and Challenges (long paper)
Christiane Theusinger, Klaus-Peter Huber
Analyzing the footsteps of your customers - A case study by ASK|net
and SAS Institute GmbH (long paper)
Sanford Gayle
The Marriage of Market Basket Analysis to Predictive Modeling: The
Essential Challenge in Exploiting Web-Log Files for Prediction (short paper), (slides)
Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets
A Framework for Self Adaptive Websites: Tactical versus Strategic
Changes (short paper)
Session III: Navigation analysis
Bettina Berendt
Web usage mining, site semantics, and the support of navigation (long paper)
Hiroki Kato, Takehiro Nakayama, Yohei Yamane
Navigation Analysis Tool based on the Correlation between Contents
Distribution and Access Patterns (long paper)
Wolfgang Gaul, Lars Schmidt-Thieme
Mining web navigation path fragments (short paper)
Pang-Ning Tan, Vipin Kumar
Modeling of Web Robot Navigational Patterns (short paper)