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: Lin Jia on Measuring Price Effects

September 23, 2019

Understanding price effects is of high importance to any business, but usually it's not easy to measure. To do this, Wayfair’s algorithms team has b...

Wayfair DS Explains It All: Samuel Yusuf on Collaborative Filtering

August 14, 2019

Wayfair sells over 10 million products on our website. This vast selection ensures that customers have numerous options when shopping for a particular...

Wayfair DS Explains It All: Jinnie Chen on Product Tagging

June 24, 2019

Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creat...

Wayfair DS Explains It All: Cole Zuber on Evaluating Recommender Systems

June 10, 2019

Serving effective personalized product recommendations is critical to providing a pleasant shopping experience for customers at Wayfair. To do this, t...

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 ...

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...