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A head-to-head benchmark comparison of RankNet across 0 evaluations.
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an impl.
Full RankNet specs →No shared benchmark scores found for these models yet.
This comparison covers 0 benchmarks on which at least one of the selected models has a published score.
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