Complementing Wehkamp's new website design, based on the Blaze micro-service architecture, a new data platform has been erected. The data lake is already taking on recommendations on the wehkamp site and in marketing e-mails.
In this presentation, we will showcase how we set up this DIY recommendation system. Beyond collaborative filtering methods, we will explain how to provide competitive content-based recommendations in the fashion domain.
The classic story of engineer meets data. Having turned software engineer/architect after a physics PhD, encountering (big) data ignited a new Spark.
Aspires to make algorithms, architecture and implementation as simple as possible. But not simpler.
Twitter: @fvanlankvelt
An Data engineer at Wehkamp with over 20 years of experience in operations, design and development, With a passion for BBQ, Deep learning, machine learning and coming up with new solutions to (difficult) problems, helping our customers find products with ease.
Twitter: @darkseed