Re-ranking Approach to Classification in Large-scale Power-law Distributed 
Category Systems

Babbar, R.; Partalas, I.; Gaussier, E.; Amini, M-R.

doi:10.1145/2600428.2609509

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Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems

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Babbar, R.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Babbar, R., Partalas, I., Gaussier, E., & Amini, M.-R. (2014). Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems. In S. Geva, A. Trotman, P. Bruza, C. Clarke, & K. Järvelin (Eds.), SIGIR'14: Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1059-1062). New York, NY, USA: ACM. doi:10.1145/2600428.2609509.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0025-B52C-7

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