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WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining
ACM2009 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
WSDM'09: Second ACM International Conference on Web Search and Web Data Mining Barcelona Spain February 9 - 12, 2009
ISBN:
978-1-60558-390-7
Published:
09 February 2009
Sponsors:
SIGMOD, SIGWEB, Yahoo! Research, SIGKDD, Nokia, Google Inc., SIGIR, Microsoft
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Abstract

WSDM (pronounced "wisdom") is a young ACM conference intended to be the publication venue for research in the areas of Web search and data mining. Indeed, the importance of these topics and their pace of innovation prevent proper coverage by conferences of broader scope, as shown in the first edition held last February in Stanford, USA, which attracted more people than we expected. The need for this new conference was also recognized by the sponsorship of four ACM SIGs: SIGIR, SIGKDD, SIGMOD and SIGWEB, which have also allowed to have the content of the conference freely available in the Web for the first three years. This trend continued this year across the Atlantic, in Barcelona, one of the most visited European cities. Barcelona, the capital of the autonomous community of Catalonia, is well known for its history, architecture and culture. However, recently it has also developed a technological neighborhood, 22@, where the conference venue is located.

Providing users with appropriate and relevant search results is a challenging task. Not only the interests and preferences of people change over time, but they also vary drastically from user to user; what is relevant and significant to a user might appear uninteresting and even offensive to another user. Further, Web pages change constantly and spamming becomes more dynamic and complex by the day.

To cope with these challenges, search engines need to evolve to provide for personalized, context-sensitive, adaptive search, which uses information explicitly or implicitly offered by the user to improve results. Often, such systems will have to exploit classification techniques and to analyze data extracted from Web documents and/or from query logs to improve precision or to diversify search results. Plain and simple, search is hard!

This time we received 170 papers from all around the world, and 29 of them were selected (17% acceptance ratio). The varied set of challenging problems in Web search and the key role that technologies like data mining and classification play in the solutions can be appreciated in the program of this second WSDM conference. It provides a fresh snapshot of the state-of-art in Web search; one that is broad, deep, and challenging to all those interested in research on this fascinating area of technology.

Contributors
  • Pompeu Fabra University Barcelona
  • University of Milan
  • Federal University of Minas Gerais
  1. Proceedings of the Second ACM International Conference on Web Search and Data Mining

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    Acceptance Rates

    Overall Acceptance Rate 498 of 2,863 submissions, 17%
    YearSubmittedAcceptedRate
    WSDM '195118416%
    WSDM '185148116%
    WSDM '175058016%
    WSDM '163686718%
    WSDM '152383916%
    WSDM '143556418%
    WSDM '113728322%
    Overall2,86349817%