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https://arxiv.org/pdf/1703.04247.pdf
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Factorization Machinesと、Deep Neural Networkを、Wide&Deepしました、という論文。Wide=Factorization Machines, Deep=DNN。
高次のFeatureと低次のFeatureを扱っているだけでなく、FMによってフィールドごとのvector-wiseな交互作用、DNNではbit-wiseな交互作用を利用している。 割と色々なデータでうまくいきそうな手法に見える。
発展版としてxDeepFM #348 がある。
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#281 にも書いたが、下記リンクに概要が記載されている。 DeepFMに関する動向:https://data.gunosy.io/entry/deep-factorization-machines-2018
実装: https://github.com/rixwew/pytorch-fm
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https://arxiv.org/pdf/1703.04247.pdf
The text was updated successfully, but these errors were encountered: