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

[latexpage] 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

[latexpage] 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...