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Achieves 0.55 MRR (and 0.64 MRR on the specific subset of data) at the RecSys2019 challenge using a two stage deep neural network architecture. More information can be gathered from the Documentation.pdf in particular at the "Deep Learning Model" section..

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Achieves 0.55 MRR (and 0.64 MRR on the specific subset of data) at the RecSys2019 challenge using a two stage deep neural network architecture. More information can be gathered from the Documentation.pdf in particular at the "Deep Learning Model" section..

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