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...

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

February 11, 2020

Summary Business moves fast and data science runways are long. What can we do to remove friction and iterate on data science models as quickly as pos...

Wayfair DS Explains It All: Anurag Syal on Projection Mapping in 3D

October 3, 2019

At Wayfair, we do everything we can to help our customers find exactly the products they need to furnish their homes in the style they envision. But c...

Wayfair DS Explains It All: Ilkay Yildiz on Learning From Comparisons

September 16, 2019

Stylistic preference is an important factor when a home goods customer is deciding which product to buy, but it is very difficult to identify and defi...

Introducing Harmonia: Context-Aware Product Recommendation From Room Images

September 9, 2019

Introduction When looking for a new piece of furniture to add to a room, customers generally consider two major points: the visual appearance of the ...

Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

June 14, 2019

Executive Summary Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bo...

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: Esra Cansizoglu on Object Pose Estimation

April 29, 2019

This week in Wayfair Data Science’s explainer series, we’re discussing object pose estimation, an important problem in robotics and augmented real...