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Advances in Web Mining and Web Usage Analysis

8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Olfa Nasraoui
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  2. Myra Spiliopoulou
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  3. Jaideep Srivastava
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  4. Bamshad Mobasher
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  5. Brij Masand
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4811)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: WebKDD 2006.

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Table of contents (13 papers)

  1. Front Matter

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  2. Adaptive Website Design Using Caching Algorithms

    • Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha
    Pages 1-20

  3. Incorporating Usage Information into Average-Clicks Algorithm

    • Kalyan Beemanapalli, Ramya Rangarajan, Jaideep Srivastava
    Pages 21-35

  4. Nearest-Biclusters Collaborative Filtering with Constant Values

    • Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos
    Pages 36-55

  5. Fast Categorization of Web Documents Represented by Graphs

    • Alex Markov, Mark Last, Abraham Kandel
    Pages 56-71

  6. Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web

    • Jong Wook Kim, K. Selçuk Candan
    Pages 72-91

  7. How to Define Searching Sessions on Web Search Engines

    • Bernard J. Jansen, Amanda Spink, Vinish Kathuria
    Pages 92-109

  8. Incorporating Concept Hierarchies into Usage Mining Based Recommendations

    • Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, Sigal Sahar
    Pages 110-126

  9. A Random-Walk Based Scoring Algorithm Applied to Recommender Engines

    • Augusto Pucci, Marco Gori, Marco Maggini
    Pages 127-146

  10. Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of Clustering

    • Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl
    Pages 147-166

  11. Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach

    • Chad A. Williams, Bamshad Mobasher, Robin Burke, Runa Bhaumik
    Pages 167-186

  12. Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection

    • Kathleen T. Durant, Michael D. Smith
    Pages 187-206

  13. Analysis of Web Search Engine Query Session and Clicked Documents

    • David Nettleton, Liliana Calderón-Benavides, Ricardo Baeza-Yates
    Pages 207-226

  14. Understanding Content Reuse on the Web: Static and Dynamic Analyses

    • Ricardo Baeza-Yates, Álvaro Pereira, Nivio Ziviani
    Pages 227-246

  15. Back Matter

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Other volumes

  1. Advances in Web Mining and Web Usage Analysis

Keywords

About this book

This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto the Web.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. Inthelastfewyears,theinterestfortheWebasamediumforcommunication, interaction and business has led to new challenges and to intensive, dedicated research.Many ofthe infancy problems in Web mining have been solvedby now, but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges. ThethemeoftheWebKDD2006workshopwas“KnowledgeDiscoveryonthe Web”, encompassing lessons learned over the past few years and new challenges for the years to come. While some of the infancy problems of Web analysis have beensolvedandproposedmethodologieshavereachedmaturity,therealityposes newchallenges:TheWebisevolvingconstantly;siteschangeanduserpreferences drift. And, most of all, a Web site is more than a see-and-click medium; it is a venue where a user interacts with a site owner or with other users, where group behavior is exhibited, communities are formed and experiences are shared.

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