In this talk Jonny Brooks will explain how Deliveroo is using Tensorflow to train and deploy our models. We’ll also discuss the challenges that they’ve faced in tackling the ranking problem and outline the solutions that they’ve implemented or proposed to overcome them.
When a consumer opens the Deliveroo app they have the option to pick from a huge variety of restaurants. Depending on their location, the number of available restaurants can vary from 10’s to almost 1,000 (and counting). However, as there is limited screen space on a consumer’s device we want to make sure that the restaurants that we surface first are the most relevant. In October last year we formed a team to address this problem. We needed to decide on the tools and infrastructure to build and deploy these models as well as how we were going to frame the ranking problem. In this talk we’ll explain how we’re using Tensorflow to train and deploy our models. We’ll also discuss the challenges that we’ve faced in tackling the ranking problem and outline the solutions that we’ve implemented or proposed to overcome them.
YOU MAY ALSO LIKE:
- Deep Learning Fundamentals with Leonardo De Marchi (Online Course on 3rd - 6th May 2021)
- Introducing AWS Immersion Days (Online Meetup on 11th February 2021)
- Building a Custom Type Provider (SkillsCast recorded in October 2020)
- Post Quantum Cryptography Apocalypse (SkillsCast recorded in September 2020)
You got served: How Deliveroo improved the ranking of restaurants
Jonny Brooks-Bartlett is a data scientist at Deliveroo working on algorithms designed to improve the consumer experience. Outside of work Jonny is a keen science communicator and delivers public talks on science and mathematics. He also enjoys sports and keeping fit.