-------- Original Message -------- Subject: [tcgn] CFP: IJCAI-03 Workshop on Web Request Modeling and Prediction Date: Wed, 22 Jan 2003 16:51:04 -0500 (EST) From: Brian D. Davison brian@cse.lehigh.edu Reply-To: tcgn@majordomo.ieee.org To: Undisclosed recipients: ;

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CALL FOR PAPERS

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IJCAI-03 Workshop on Web Request Modeling and Prediction Sunday, August 10, 2003 http://www.cse.lehigh.edu/web-prediction/

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Web request modeling and prediction has been proposed by many as a significant tool for personalization, for the optimization of caching systems, and in Web mining. An accurate prediction system, for example, can be used to pre-load content into a browser or proxy's cache, perform pre-calculation within a Web server, or search ahead for information of interest to an end user. Significant end-user benefits are often claimed from the reduction of client-perceived latencies that result from increased cache hit rates.

This workshop will provide a focused venue for discussion of algorithms and implementations for predicting Web requests. Previous work on this topic has been scattered across many disciplines, making definitive progress on this task difficult. Moreover, researchers often end up re-discovering useful techniques. By bringing such people together in a single venue, we can recognize common ground, share our experiences, and evolve a common vocabulary.

Likely participants are expected to include researchers in the AI, ML, KDD, UM and Web systems communities. We solicit contributions and participation to examine:

* state-of-the-art techniques for request prediction

* the trade-off of complexity and storage versus predictive performance

* the role of client-side caching on model accuracy

* the effect of using HTTP referrer tags

* the role that request timestamps play in model generation and accuracy

* comparative performance on standardized datasets and evaluation

* appropriate evaluation methods (such as those that are tied to real-world utility)

* the effect of classifying user browsing modes

Submission Instructions

Participants for this one-day workshop will be selected through three mechanisms. The first is the traditional high-quality original peer-reviewed research paper, which would be presented during the workshop. The second is a short position statement, indicating relevant experience, past publications, and interest. Finally, we will invite the authors of top-performing prediction software (as measured by pre-workshop performance on a standardized dataset) to the workshop, and ask the authors of the best systems to present their techniques in a paper and a talk at the workshop. Further details are available on the workshop web site.

All submissions must be in English, formatted according to IJCAI standards, and sent to the workshop chair by email as a PDF (preferred) or Postscript attachment.

Note: Participants are expected to register for the main IJCAI conference in addition to the workshop, and attendance will be limited to encourage interaction.

Important Dates and Deadlines

* Deadline for submitting prediction results of standardized datasets: February 14, 2003

* Deadline for the submission of full papers (6 to 8 pages) or position statements (1-2 pages): February 28, 2003.

* Notification of acceptance/rejection: March 24, 2003.

* Deadline for the receipt of camera-ready papers: May 9, 2003.

Organizing Committee

Prof. Brian D. Davison (Chair) Lehigh University (USA) http://www.cse.lehigh.edu/~brian/ davison@lehigh.edu

Prof. Dan Duchamp Stevens Institute of Technology (USA) http://www.cs.stevens-tech.edu/~djd/

Dr. Mike Perkowitz University of Washington (USA) http://www.perkowitz.net/research/

Prof. Ingrid Zukerman Monash University (Australia) http://www.csse.monash.edu.au/~ingrid/

Program Committee

David W. Albrecht, Monash University (Australia) Corin Anderson, Google, Inc. (USA) Russ Greiner, University of Alberta (Canada) Nicholas Kushmerick, University College Dublin (Ireland) Vincenzo Liberatore, Case Western Reserve University (USA) Evangelos Markatos, ICS-FORTH and University of Crete (Greece) Geoff Voelker, University of California-San Diego (USA) Qiang Yang, Simon Fraser University (Canada)

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Brian D. Davison, Ph.D. davison(at)cse.lehigh.edu Computer Science & Engineering davison(at)acm.org Lehigh University http://www.cse.lehigh.edu/~brian/ 19 Memorial Dr. W., Bethlehem PA 18015 http://www.web-caching.com/