Ranking via Robust Binary Classification

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), pp. 2582-2590, 2014.

Cited by: 26|Views66
EI

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. It shows competitive performance on standard benchmark datasets against a number of other representative algorithms in the literature. We also discuss exte...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments