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The Ethereal
Soccer Team Vectors
July 30, 2019 ยท Declared Dead ยท ๐ PKDD/ECML Workshops
"No code URL or promise found in abstract"
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Authors
Robert Mรผller, Stefan Langer, Fabian Ritz, Christoph Roch, Steffen Illium, Claudia Linnhoff-Popien
arXiv ID
1908.00698
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
stat.ML
Citations
1
Venue
PKDD/ECML Workshops
Last Checked
4 months ago
Abstract
In this work we present STEVE - Soccer TEam VEctors, a principled approach for learning real valued vectors for soccer teams where similar teams are close to each other in the resulting vector space. STEVE only relies on freely available information about the matches teams played in the past. These vectors can serve as input to various machine learning tasks. Evaluating on the task of team market value estimation, STEVE outperforms all its competitors. Moreover, we use STEVE for similarity search and to rank soccer teams.
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