# Concurrent Neural Network : A model of competition between times series

arXiv: https://arxiv.org/abs/2009.14610 · HTML: https://mlsanity.com/paper/2009.14610/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2020.

## Built on by (most cited first, 1 of 1)

- [An XGBoost-Based Forecasting Framework for Product Cannibalization](https://mlsanity.com/paper/2111.12680/) (2021)

## Abstract (arXiv)

Competition between times series often arises in sales prediction, when similar products are on sale on a marketplace. This article provides a model of the presence of cannibalization between times series. This model creates a "competitiveness" function that depends on external features such as price and margin. It also provides a theoretical guaranty on the error of the model under some reasonable conditions, and implement this model using a neural network to compute this competitiveness function. This implementation outperforms other traditional time series methods and classical neural networks for market share prediction on a real-world data set.