Call For Participation

The attraction of hundreds of millions of web searches per day provides significant incentive for many content providers to do whatever is necessary to rank highly in search engine results, while search engine providers want to provide the most accurate results. The conflicting goals of search and content providers is adversarial, and the use of techniques that push rankings higher than they belong is often called search engine spam. Such methods typically include textual as well as link-based techniques, or their combination.

AIRWeb 2006 provides a focused venue for both mature and early-stage work in web-based adversarial IR. The workshop solicited technical papers on any aspect of adversarial information retrieval on the Web. Submissions were reviewed by a program committee of search experts and accepted papers (listed below) cover state-of-the-art research advances to address current problems in web spam.

AIRWeb 2006 brings together both researchers and industry practitioners and will be held on August 10, 2006, after the SIGIR 2006 conference, in Seattle, Washington.

Workshop Program

This, the second AIRWeb workshop, builds on last year's successful meeting in Chiba, Japan as part of WWW2005. This year we will have both full and short presentations on aspects of adversarial information retrieval on the Web.

In addition to the papers listed below, we will have an invited talk by Jan Pedersen, Yahoo! on sponsored search, and an expert panel discussion on blog spam, including:

• Dennis Fetterly, Microsoft Research
• Natalie Glance, Nielsen BuzzMetrics
• Jeremy Hylton, Google
• Greg Linden, Findory.com
• Paul Querna, Ask.com

Papers to be Presented

Full presentation:

• Link-Based Characterization and Detection of Web Spam
  Luca Becchetti, Università di Roma "La Sapienza"
  Carlos Castillo, Università di Roma "La Sapienza"
  Debora Donato, Università di Roma "La Sapienza"
  Stefano Leonardi, Università di Roma "La Sapienza"
  Ricardo Baeza-Yates, Yahoo! Research Barcelona
• Link-Based Similarity Search to Fight Web Spam
  András A. Benczúr, Hungarian Academy of Sciences and Eötvös University
  Károly Csalogány, Hungarian Academy of Sciences and Eötvös University
  Tamás Sarlós, Hungarian Academy of Sciences and Eötvös University
  
• Improving Cloaking Detection using Search Query Popularity and Monetizability
  Kumar Chellapilla, Microsoft Live Labs
  David Maxwell Chickering, Microsoft Live Labs
• Tracking Web Spam with Hidden Style Similarity
  Tanguy Urvoy, France Telecom R&D
  Thomas Lavergne, France Telecom R&D
  Pascal Filoche, France Telecom R&D

Short presentation:

• Adversarial Information Retrieval Aspects of Sponsored Search
  Bernard J. Jansen, Pennsylvania State University
• Web Spam Detection with Anti-Trust Rank
  Vijay Krishnan, Stanford University
  Rashmi Raj, Stanford University

Organizing Committee

• Tim Converse, Yahoo! Search
• Brian D. Davison, Lehigh University
• Marc Najork, Microsoft Research

Program Committee

• Sibel Adali, Rensselaer Polytechnic Institute, USA
• Lada Adamic, University of Michigan, USA
• Einat Amitay, IBM Research Haifa, Israel
• Andrei Broder, Yahoo! Research, USA
• Carlos Castillo, Università di Roma "La Sapienza", Italy
• Abdur Chowdhury, AOL Search, USA
• Nick Craswell, Microsoft Research Cambridge, UK
• Matt Cutts, Google, USA
• Dennis Fetterly, Microsoft Research, USA
• Zoltan Gyongyi, Stanford University, USA
• Matthew Hurst, Nielsen BuzzMetrics, USA
• Mark Manasse, Microsoft Research, USA
• Jan Pedersen, Yahoo!, USA
• Bernhard Seefeld, Switzerland
• Erik Selberg, Microsoft Search, USA
• Bruce Smith, Yahoo! Search, USA
• Andrew Tomkins, Yahoo! Research, USA
• Tao Yang, Ask.com/Univ. of California-Santa Barbara, USA

Contact Email

• airweb(at)cse.lehigh.edu

Workshop Information

• Home
• Workshop Program
• Accepted Papers
• Original Call for Papers
• Organizing Committee
• Program Commitee
• Registration
• SIGIR 2006
• Contact
• 2005 Workshop