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...

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...

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...