Improving Recommender Systems with Deep Learning

Abstract

In this talk I explain how Dataiku improved an online vacation retailer’s recommender system by leveraging pre-trained deep learning models to derive user preference information from images. This transfer learning approach can enable companies to use state-of-the-art machine learning methods without having deep learning expertise.

Adam Jelley

PhD Student in Deep Reinforcement Learning

PhD Student in efficient reinforcement learning.