The Visual Complements Model (ViCs): Complementary Product Recommendations From Visual Cues

March 16, 2020

Introduction Creating a recommendation system for home decoration poses unique challenges: each customer has his/her own taste and would like to main...

How to enable data scientists to stop managing ETL pipelines and get back to doing data science: Part I

February 11, 2020

Part I: How to build tools that you can hand off to data scientists [feature of Hoover tool]   Summary Business moves fast and data science ru...

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...