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

Muhammad Ibrahim, Mark Carman. Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank. In Azizah Jaafar, Nazlena Mohamad Ali, Shahrul Azman Mohd. Noah, Alan F. Smeaton, Peter Bruza, Zainab Abu Bakar, Nursuriati Jamil, Tengku Mohd Tengku Sembok, editors, Information Retrieval Technology - 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings. Volume 8870 of Lecture Notes in Computer Science, pages 444-457, Springer, 2014. [doi]

Abstract

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