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Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data
The contribution of this work is twofold: (1) to identify missing items in observed baskets and, thus, directly providing a CF model; and, (2) to construct a generative model of baskets which may be used, for instance, in simulation analysis or as part of a more complex analytical method.
A Dynamic Bayesian Network Model for Inventory Level Estimation in Retail Marketing
Many retailers today employ inventory management systems based on Re-Order Point Policies, most of which rely on the assumption that all decreases in product inventory levels result from product sales.
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