Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.

@inproceedings{ibrahim-2014-undersampling, author = {Muhammad Ibrahim and Mark James Carman}, editor = {Azizah Jaafar and Nazlena Mohamad Ali and Shahrul Azman Mohd Noah and Alan F. Smeaton and Peter Bruza and Zainab Abu Bakar and Nursuriati Jamil and Tengku M. T. Sembok}, title = {{Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank}}, booktitle = {{Information Retrieval Technology - 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {8870}, pages = {444--457}, publisher = {Springer}, year = {2014}, url = {https://doi.org/10.1007/978-3-319-12844-3_38}, doi = {https://doi.org/10.1007/978-3-319-12844-3_38} }