Halo Effects Platform

October 13, 2020

 By Sarah Cotterill It’s critically important for Wayfair to understand the causal impact on customer’s future spend of various customer actio...

TopShelf: How to Arrange a Page of Products, Not Just Rank Them in a List

May 5, 2020

Many approaches to ranking a list of products or search results are based on assigning a score to each item and sorting in descending order—in other...

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...

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...

BERT Does Business: Implementing the BERT Model for Natural Language Processing at Wayfair

November 27, 2019

Introduction Every day, Wayfair receives tens of thousands of messages from customers, telling us about their experiences with our products and servi...

We’re Never Done: Continuing My Education At Wayfair

November 25, 2019

Choosing between school and work can be an either-or proposition for many, whether for financial reasons or because there simply don’t seem to be en...

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