Use case in production

Building an adaptive large-scale Recommender system

Evgeny Labzin

Applied Scientist, Zalando SE

Applied scientist who likes a challenge and strives to think outside the box, Evgeny has +7 years of experience developing different types of ML products. Currently, he is building large-scale recommender systems in Zalando.

Evgeny Labzin
Evgeny Labzin
Session description

Zalando serves recommendations to millions of highly diverse users every day. The Zalando Reco systems are also constantly expanding to new categories of products to help our users even better. In such a fast-paced environment, we need to implement new types of recommendations quickly and efficiently. We tackle these challenges by building a smart, highly configurable infrastructure to adapt to any new requirements as fast as possible.