WebKDD 2006 - Knowledge Discovery on the Web

Workshop on
Web Mining and Web Usage Analysis

Held in conjunction with
The 12th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2006)

August 20-23, 2006, Philadelphia, Pennsylvania


Call for Papers Instructions for Authors Accepted Papers Workshop Program Program Committee Past WebKDD workshops
Final Program - August 20, 2006

08:30-08:45

Introduction & Welcome
Session 1: Adaptive Web Navigation & Collaborative Filtering (8:45-10:00)

08:45-09:10

Adaptive Website Design using Caching Algorithms
Justin Brickell, Inderjit S. Dhillon, and Dharmendra S. Modha
09:10-09:35 Usage-Aware Average Clicks
Kalyan Beemanapalli, Ramya Rangarajan, and Jaideep Srivastava
09:35-10:00 Nearest-Biclusters Collaborative Filtering
Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopolos, and Yannis Manolopoulos

10:00-10:30

Coffee Break
Session 2: Web Content, Search, and Queries (10:30-12:05)

10:30-10:55

Model-Based Classification of Web Documents Represented by Graphs
Alex Markov, Mark Last, and Abraham Kandel
10:55-11:20 Keyword Weight Propagation for Indexing Structured Web Content
Jong Wook Kim and K. Selcuk Candan
11:20-11:35 How to Define Searching Sessions on Web Search Engines
Bernard J. Jansen, Amanda Spink, Vinish Kathuria, and Sherry Koshman
11:35-11:50 The Evolution of Web Content and Search Engines
Ricardo Baeza-Yates, Alvaro Pereira Jr and Nivio Ziviani
11:50-12:05 Analysis of Web Search Engine Query Sessions
David Nettleton, Liliana Calderon, and Ricardo Baeza-Yates

12:05-1:30

Lunch (on your own)
Session 3: Recommender Systems (1:30-3:05)

1:30-1:55

Incorporating Concept Hierarchies into Usage Mining Based Recommendations
Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, and Sigal Sahar
1:55-2:20 A Random-Walk Based Scoring Algorithm with Application to Recommender Systems for Large-Scale E-Commerce
Augusto Pucci and Marco Gori
2:20-2:35 ClustKNN: A Highly Scalable Hybrid Model- & Memory-Based CF Algorithm
Al Mamunur Rashid, Shyong K. Lam, George Karypis, and John Riedl
2:35-2:50

Recommendation Based on Influence Sets
Jian Chen and Jian Yin

2:50-3:05 Relevance of Time Spent on Web Pages
Peter I. Hofgesang

3:05-3:30

Coffee Break
Session 4: Web Mining Emerging Trends (3:30-5:00)

3:30-3:55

The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation
Chad Williams, Runa Bhaumik, Robin Burke, and Bamshad Mobasher
3:55-4:20 Client-side Web Mining for Community Formation in Peer-to-Peer Environments
Kun Liu, Kanishka Bhaduri, Kamalika Das, Phuong Nguyen and Hillol Kargupta

4:20-4:45
Using Rank Propagation and Probabilistic Counting for Link-Based Spam Detection
Luca Becchetti, Carlos Castillo, Debora Donato, Stefano Leonardi and Ricardo Baeza-Yates

4:45-5:00
Mining Sentiment Classification from Political Web Logs
Kathleen T. Durant and Michael D. Smith

5:00-5:30

Joint Discussion and Closing