Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders
A Multi-Target Recommender System that is a significant improvement for both the quality of our recommendations and the maintainability of our systems
A Multi-Target Recommender System that is a significant improvement for both the quality of our recommendations and the maintainability of our systems
Algo Hour, Oct 11th, 2022 - Featuring Alessya Visnjic from whyLogs!
Our stylists' expertise is a differentiator for Stitch Fix. Here is how we take that expertise into account when designing algorithmic systems.
Understanding recomposition in Jetpack Compose is critical to optimizing application performance. Here are some "gotchas" to avoid.
How configuration driven Machine learning pipelines help streamline the model development at Stitch Fix.
In late 2021 we released Hamilton, Stitch Fix’s open-source microframework for managing dataflows. With feedback from the community, we’ve implemented an exciting new feature -- the ability to validate the data hamilton generates! In this post we detail the new capabilities and talk a little bit about next steps.
Client feedback is at the heart of Stitch Fix. Here is how we take client's textual feedback into account.
How Stitch Fix's machine learning platform enables data scientists to scale beyond their wildest dreams.