# Fast Online "Next Best Offers" using Deep Learning

arXiv: https://arxiv.org/abs/1905.13368 · HTML: https://mlsanity.com/paper/1905.13368/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 31 May 2019.

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

- [Data Synthesis for Testing Black-Box Machine Learning Models](https://mlsanity.com/paper/2111.02161/) (2021)

## Abstract (arXiv)

In this paper, we present iPrescribe, a scalable low-latency architecture for recommending 'next-best-offers' in an online setting. The paper presents the design of iPrescribe and compares its performance for implementations using different real-time streaming technology stacks. iPrescribe uses an ensemble of deep learning and machine learning algorithms for prediction. We describe the scalable real-time streaming technology stack and optimized machine-learning implementations to achieve a 90th percentile recommendation latency of 38 milliseconds. Optimizations include a novel mechanism to deploy recurrent Long Short Term Memory (LSTM) deep learning networks efficiently.