Call for Papers
AIRWeb'09 Topics
Adversarial Information Retrieval addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously. On the Web, the predominant form of such manipulation is "search engine spamming" (or "spamdexing"), i.e., malicious attempts to influence the outcome of ranking algorithms, aimed at getting an undeserved high ranking for some items in the collection.
We solicit the following types of submissions on any aspect of adversarial information retrieval on the Web:
- Full papers, decribing contributions to the field
- Short papers, presenting work in progress
- Problem statements, explaining relevant, but unsolved or not adequately solved problems
Particular areas of interest include, but are not limited to:
- Link spam
- Content spam
- Cloaking
- Blog/forum/wiki spam
- Tag spam
- Review and rating spam
- Click fraud detection
- Reverse engineering of ranking algorithms
- Web content filtering
- Online advertisement blocking
- Stealth crawling
The proceedings of the workshop will be included in the ACM Digital Library. Full and short papers are limited to 8 and 4 pages, respectively; problem statements will be permitted 2 pages. Papers should be formatted using the WWW 2009 proceedings style and submitted via EasyChair.
TIMELINE
- 6 February 2009: Deadline (optional, but helpful) for abstract submissions
- 23 February 2009: Extended deadline for paper submissions
- 17 March 2009: Notification of paper acceptance
- 24 March 2009: Camera-ready version due date
- 21 April 2009: Date of the workshop
ORGANIZERS AND PROGRAM COMMITTEE
Organizers- Dennis Fetterly, Microsoft Research
- Zoltan Gyongyi, Google Research
- Einat Amitay, IBM
- András Benczúr, Hungarian Academy of Sciences
- James Caverlee, Texas A&M University
- Paul-Alexandru Chirita, Adobe
- Edward Chang, Google Research
- Carlos Castillo, Yahoo! Research
- Kumar Chelapilla, Microsoft Live Labs
- Tim Converse, Microsoft (Powerset)
- Gordon Cormack, University of Waterloo
- Nick Craswell, Microsoft Research
- Matt Cutts, Google
- Brian Davison, Lehigh University
- Ludovic Denoyer, Universite Pierre et Marie Curie (Paris 6)
- Aaron D'Souza, Google
- Edel García, Mi Islita.com
- Antonio Gulli, Ask.com
- Monika Henzinger, Google Research and EPFL
- Pranam Kolari, Yahoo! Research
- Georgia Koutrika, Stanford University
- Mark Manasse, Microsoft Research
- Marc Najork, Microsoft Research
- Alexandros Ntoulas, Microsoft Search Labs
- Jan Pedersen, A9.com
- Erik Selberg, Amazon
- Torsten Suel, Yahoo! Research
- Andrew Tomkins, Yahoo! Research
- Mike Thelwall, University of Wolverhampton
- Tao Yang, Ask.com
- Steve Webb, Georgia Institute of Technology
- Baoning Wu, Snap