Building a multi-stage recommendation system (part 1.2)

Implementation of the two-tower model and its application to H&M data

This blog post is the follow-up on part 1.1 where we explained the two-stage recommendation process with a special emphasis on the candidate generation step. I encourage you to read this article first if you didn’t already. We described the two-tower model in depth and we are now going to implement it in TensorFlow 2 and apply it to a Kaggle dataset.

H&M Kaggle Competition