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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bennett, James Tikk, Domonkos Elkan, Charles Liu, Bing Smyth, Padhraic |
| 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. |
| Starting Page | 51 |
| Ending Page | 52 |
| Page Count | 2 |
| File Format | |
| ISSN | 19310145 19310153 |
| DOI | 10.1145/1345448.1345459 |
| Journal | ACM SIGKDD Explorations Newsletter (SKDD) |
| Volume Number | 9 |
| Issue Number | 2 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2000-06-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Kdd cup Netflix prize Collaborative filtering Recommendation |
| Content Type | Text |
| Resource Type | Article |
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