WEBKDD 2000 Papers
Worskhop on Web Mining for E-Commerce -- Challenges and Opportunities
Sunday, August 20, 2000, Boston, MA, USA
Preface
Session I: Web Personalization and Recommender Systems
Discovery of Aggregate Usage Profiles for Web Personalization
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Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa, Yuqing Sun, Jim Wiltshire
A Regression-Based Approach for Scaling-Up Personalized Recommender Systems in E-Commerce
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Slobodan Vucetic and Zoran Obradovic
Application of Dimensionality Reduction in Recommender System - A Case vStudy (
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Badrul M. Sarwar, George Karypis, Joseph A. Konstan, John T. Riedl
Collaborative Recommendation via Adaptive Association Rule Mining
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Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
A Synthesized Learning Approach for Web-Based CRM
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Wei-Lun Chang, Soe-Tsyr Yuan
Session II: Mining Frameworks and Case-Studies
Integrating E-Commerce and Data Mining: Architecture and Challenges
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Postscript
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Suhail Ansari, Ron Kohavi, Llew Mason, and Zijian Zheng
Analyzing the footsteps of your customers, A case study by ASK|net and SAS Institute GmbH
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Christiane Theusinger, Klaus-Peter Huber
The Marriage of Market Basket Analysis to Predictive Modeling: The Essential Challenge in Exploiting Web-Log Files for Prediction
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Sanford Gayle
A Framework for Self Adaptive Websites: Tactical versus Strategic Changes
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Filip Coenen, Gilbert Swinnen, Koen Vanhoof, Geert Wets
Session III: Navigation Analysis
Web usage mining, site semantics, and the support of navigation
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Bettina Berendt
Navigation Analysis Tool based on the Correlation between Contents Distribution and Access Patterns
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Hiroki Kato, Takehiro Nakayama, Yohei Yamane
Mining web navigation path fragments
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Wolfgang Gaul, Lars Schmidt-Thieme
Modeling of Web Robot Navigational Patterns
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Pang-Ning Tan, Vipin Kumar