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KDD Cup and workshop 2007

Published: 01 December 2007 Publication History

Abstract

The KDD Cup is the oldest of the many data mining competitions that are now popular [1]. It is an integral part of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). In 2007, the traditional KDD Cup competition was augmented with a workshop with a focus on the concurrently active Netflix Prize competition [2]. The KDD Cup itself in 2007 consisted of a prediction competition using Netflix movie rating data, with tasks that were different and separate from those being used in the Netflix Prize itself. At the workshop, participants in both the KDD Cup and the Netflix Prize competition presented their results and analyses, and exchanged ideas.

References

[1]
http://www.kdnuggets.com/datasets/kddcup.html
[2]
http://www.netflixprize.com
[3]
Bennett, J. and Lanning, S. The Netflix Prize. Proceedings of KDD Cup and Workshop 2007, Aug. 12, 2007.
[4]
Lee, S.-I., Chatalbashev, V., Vickrey, D., and Koller, D. Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks. In Proceedings of International Conference on Machine Learning (ICML-07), Corvallis, OR, June 2007, pp. 489--496.
[5]
Salakhutdinov, R., Mnih, A., and Hinton, G. Restricted Boltzmann Machines for Collaborative Filtering. In Proceedings of International Conference on Machine Learning (ICML-07), Corvallis, OR, June 2007, pp. 791--798.

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Published In

cover image ACM SIGKDD Explorations Newsletter
ACM SIGKDD Explorations Newsletter  Volume 9, Issue 2
Special issue on visual analytics
December 2007
105 pages
ISSN:1931-0145
EISSN:1931-0153
DOI:10.1145/1345448
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2007
Published in SIGKDD Volume 9, Issue 2

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Author Tags

  1. KDD Cup
  2. Netflix prize
  3. collaborative filtering
  4. recommendation

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