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Found 2 papers, 1 papers with code
Generating Realistic Sequences of Customer-level Transactions for Retail Datasets
The GAN is thus used in tandem with the RNN module in a pipeline alternating between basket generation and customer state updating steps.
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting
However, buyer purchase patterns are extremely diverse and sparse on a per-product level due to population heterogeneity as well as dependence in purchase patterns across product categories.
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