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 ...

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...

Lynx: Identifying Wayfair Customers’ Functional Needs

July 17, 2019

Introduction One of the core principles of marketing is that messaging customers about what they want or need is much stronger than messaging them ab...

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...

How We Detect Anomalies in Our Product Recommendations Metrics

April 11, 2019

Introduction If you are a Wayfair customer looking for some wall art to decorate your house, chances are you will land on our wall art SuperBrowse pa...

Wayfair Data Science Launches New Video Explainer Series!

January 7, 2019

Find out about how Wayfair tackles product recommendations in our first installment!   Wayfair Data Science is composed of a number of sub-te...

Information Retrieval and Machine Learning at Wayfair

July 6, 2018

Come find us! Next week, Wayfair Data Science will be hitting the road. Data scientists and engineers from across our teams will be attending the SIG...