Search Results for author: Brian Seaman

Found 2 papers, 1 papers with code

Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

1 code implementation13 Jan 2019 Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman

Since the product assortment hierarchy in an E-commerce platform contains large numbers of related products, in which the sales demand patterns can be correlated, our attempt is to incorporate this cross-series information in a unified model.

Time Series Time Series Analysis

Thompson Sampling for Dynamic Pricing

no code implementations8 Feb 2018 Ravi Ganti, Matyas Sustik, Quoc Tran, Brian Seaman

We show that one can use active learning algorithms such as Thompson sampling to more efficiently learn the underlying parameters in a pricing problem.

Active Learning Thompson Sampling

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