AI disruption in e-commerce – Wayfair Data Science talk on PAPIs
November 2, 2017
Wayfair offers a zillion things home, with one of the world's largest online selections of furniture, home furnishings, décor and goods, including mo...
Why Violin Plots are Awesome for Feature Engineering: An Example Using NLP to Identify Similar Products
October 25, 2017
At Wayfair, technology and data expertise enable data scientists to transform new web datasets into intelligent machine algorithms that re-imagine how...
Using geographic splitting & optimization techniques to measure marketing performance
August 23, 2017
In this first blog post focused on marketing attribution & measurement, we share insights on how Wayfair has leveraged a unique com...
Visual Search with Deep Learning
June 1, 2017
Search has long been an essential tool for Wayfair that enables users to discover products among millions. While we offer great text and faceted searc...
Better Lucene/Solr searches with a boost from an external naive Bayes classifier
October 23, 2012
Me: Doug, what are you doing?
Doug: Solving the problem of class struggle with one of Greg's classifiers.
Me: Karl Marx should call his office. What do you mean by that?
Doug: Let me explain... (more…)
Information Week Interviews Wayfair on its use of Markov Clustering
September 28, 2012
These days, in the big data community, we often hear how biologists have adopted and are using distributed computing technologies that were first intr...
Recommendations with Markov Clustering
February 23, 2012
Our story begins in Holland in 1997, where a researcher named Stijn van Dongen, who is pretty good at Go, has a 5-minute flash of insight into modelin...
Recommendations with simple correlation metrics on implied preference data
January 30, 2012
When you sit down to write a recommendations system, there are quite a few well-practiced techniques you can use, and it's difficult to...