Product search is a key functionality for most e-commerce platforms. Zulily uniquely marries personalization and discovery shopping while also serving the customer need to search. This means that getting search right while maintaining the discovery aspect requires a unique approach that uses large amounts of detailed product information along with behavioral data from customers to predict what customers want.
In this talk I will present some general approaches Zulily uses to improve search relevance. Along the way I will pay special attention to areas where ML can help with this process and highlight where a robust ML platform is essential.