miscellaneous-14
Learning-To-Rank
3260 papers • 126 benchmarks • 313 datasets
Learning to rank is the application of machine learning to build ranking models. Some common use cases for ranking models are information retrieval (e.g., web search) and news feeds application (think Twitter, Facebook, Instagram).
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Benchmarks
These leaderboards are used to track progress in learning-to-rank-28
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Libraries
iUse these libraries to find learning-to-rank-28 models and implementations
3 papers 793
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