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...
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...
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...
