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19

ICML
2010
IEEE

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Metric Learning to Rank

13 years 5 months ago

Metric Learning to Rank

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We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that rankings of data induced by distance from a query can be optimized against various ranking measures, such as AUC, Precision-at-k, MRR, MAP or NDCG. We demonstrate experimental results on standard classification data sets, and a large-scale online dating recommendation problem.

Brian McFee, Gert R. G. Lanckriet

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ICML 2010 | Machine Learning | Metric Learning | Metric Learning Algorithm | Structural Svm Framework |

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Added	09 Nov 2010
Updated	09 Nov 2010
Type	Conference
Year	2010
Where	ICML
Authors	Brian McFee, Gert R. G. Lanckriet

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