Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data

CoRR, 2014.

Cited by: 3|Views61
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Abstract:

We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for learning to rank and loss functions for robust classification. The algorithm shows a very competitive performance on standard benchmark datasets against other representative algorithms in the literature. On the other...More

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