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Deep learning using RNNs on retail transaction data for artificial purchase generation
Recurrent neural networks (RNNs), particularly LSTMs, have demonstrated impressive results on text, speech and more generally time series data. Our goal is now to evaluate the use of RNNs on linked grocery transaction data. You will be working on a data set with more than 100,000 users of a loyalty
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Denis Vuckovac
ETH Zürich, D-MTEC
Weinbergstrasse 56/58
8092 Zürich
denis.vuckovac@autoidlabs.ch
Denis Vuckovac ETH Zürich, D-MTEC Weinbergstrasse 56/58 8092 Zürich denis.vuckovac@autoidlabs.ch