Bayesian Product Ranking at Wayfair

January 20, 2020

Wayfair has a huge catalog with over 14 million items. Our site features a diverse array of products for people’s homes, with product categories ran...

ReCNet: Deep Learning based Cross-class Recommendations at Wayfair

December 12, 2019

Introduction The main objective of our recommender systems is to narrow down Wayfair’s vast catalogue to assist customers in finding exactly the pr...

BERT Does Business: Implementing the BERT Model for Natural Language Processing at Wayfair

November 27, 2019

Introduction Every day, Wayfair receives tens of thousands of messages from customers, telling us about their experiences with our products and servi...

Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

May 28, 2019

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will ha...

Wayfair DS Explains It All: Peter B. Golbus on Theoretical Machine Learning

May 13, 2019

This week in Wayfair Data Science’s Explainer Series, Data Science Tech Lead Peter B. Golbus discusses machine learning from a theoretical computer ...

Introducing RoSE: Wayfair’s Room Style Estimator

May 9, 2019

Introduction: Interior design and home decoration involve a high amount of guesswork. In addition to the visual appearance of each individual item, t...

Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis

March 18, 2019

This week in Wayfair Data Science’s explainer series, Senior Machine Learning Engineer Tim Zhang lays out what you need to know about training image...

Wayfair DS Explains It All: Archi Mitra on Human-in-the-loop Systems

March 4, 2019

In this installment, Archi Mitra (Senior Machine Learning Engineer on the Computer Vision team) lays out an intro to Human-in-the-loop systems, which ...