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"Learning to Rank in Theory and Practice: From Gradient Boosting to Neural ..."

Claudio Lucchese et al. (2019)

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DOI: 10.1145/3331184.3334824

access: closed

type: Conference or Workshop Paper

metadata version: 2023-08-06

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  - conf/sigir/LuccheseNPBBWOJ19
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  - https://dblp.org/rec/conf/sigir/LuccheseNPBBWOJ19
Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR 2019: 1419-1420

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