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