KDD Cup and workshop 2007

Authors:
James Bennett;Charles Elkan;Bing Liu;Padhraic Smyth;Domonkos Tikk
Affiliations:
Netflix, Los Gatos, CA;University of California, San Diego, La Jolla, CA;University of Illinois at Chicago, Chicago, IL;University of California, Irvine, CA;Budapest University of Technology and Economics, Budapest, Magyar Tudósok krt. 2, Hungary
Venue:
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Year:
2007

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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.