KDD Cup and workshop 2007

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: Su-In Lee , Vassil Chatalbashev , David Vickrey , Daphne Koller, Learning a meta-level prior for feature relevance from multiple related tasks, Proceedings of the 24th international conference on Machine learning, p.489-496, June 20-24, 2007, Corvalis, Oregon [doi>10.1145/1273496.1273558]
• 5: Ruslan Salakhutdinov , Andriy Mnih , Geoffrey Hinton, Restricted Boltzmann machines for collaborative filtering, Proceedings of the 24th international conference on Machine learning, p.791-798, June 20-24, 2007, Corvalis, Oregon [doi>10.1145/1273496.1273596]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning

General Terms:
Algorithms, Experimentation

Keywords:
KDD Cup, Netflix prize, collaborative filtering, recommendation