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

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

Matthias Mozer Matthias Mozer November 27th, 2019

Introduction Every day, Wayfair receives tens of thousands of messages from customers, telling us about their experiences with our products and services through the likes of product reviews, return comments, and various surveys. Considering that our customers spend valuable time writing these, it is fair to assume that they have……

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Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

Wayfair DS Explains It All: Trent Woodbury on Handling Imbalanced Data

Trent Woodbury Trent Woodbury May 28th, 2019

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will have atrocious recall. In this video, Wayfair Senior Data Scientist Trent Woodbury explains the three most common ways of handling this imbalanced data problem.     Trent Woodbury……

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Wayfair DS Explains It All: Peter B. Golbus on Theoretical Machine Learning

Wayfair DS Explains It All: Peter B. Golbus on Theoretical Machine Learning

Peter B. Golbus Peter B. Golbus May 13th, 2019

This week in Wayfair Data Science’s Explainer Series, Data Science Tech Lead Peter B. Golbus discusses machine learning from a theoretical computer science perspective. In this video, we describe multiclass classification as an encoding task, i.e. a process for building compression schemes that convert large “files” (feature vectors) into small……

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Introducing RoSE: Wayfair’s Room Style Estimator

Introducing RoSE: Wayfair’s Room Style Estimator

Esra Cansizoglu Esra Cansizoglu May 9th, 2019

Introduction: Interior design and home decoration involve a high amount of guesswork. In addition to the visual appearance of each individual item, the arrangement of these items in a room and how well they fit together are also highly important. These considerations combine to create the notoriously subjective concept of……

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The Biggest Ad Tech Company You’ve Never Heard Of: Ad Tech & Customer Intelligence Engineering at Wayfair

The Biggest Ad Tech Company You’ve Never Heard Of: Ad Tech & Customer Intelligence Engineering at Wayfair

Franklyn Tamalenus Franklyn Tamalenus April 1st, 2019

An introduction by way of some marketing prose. Cutting edge intelligent systems. Big data at scale. World class ad tech to drive phenomenal growth in a multi-billion dollar business. Real-time tracking and personalization to engage millions of shoppers daily: Ad Tech & Customer Intelligence Engineering @ Wayfair. Meet the two…

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Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis

Wayfair DS Explains It All: Tim Zhang on Training Image Synthesis

Rachel Kirkwood Rachel Kirkwood March 18th, 2019

This week in Wayfair Data Science’s explainer series, Senior Machine Learning Engineer Tim Zhang lays out what you need to know about training image synthesis. Training image synthesis is a fairly young project for the Computer Vision team at Wayfair. We have explored a few different use cases that can……

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Wayfair DS Explains It All: Archi Mitra on Human-in-the-loop Systems

Wayfair DS Explains It All: Archi Mitra on Human-in-the-loop Systems

Rachel Kirkwood Rachel Kirkwood March 4th, 2019

In this installment, Archi Mitra (Senior Machine Learning Engineer on the Computer Vision team) lays out an intro to Human-in-the-loop systems, which are used in every Computer Vision project here at Wayfair. Our Visual Search, Object Detection, Room & Style algorithm leverages this system to annotate training data and validate……

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Wayfair DS Explains It All: Zephy McKanna on Multi-Armed Bandits

Wayfair DS Explains It All: Zephy McKanna on Multi-Armed Bandits

Ingrid Xu Ingrid Xu February 19th, 2019

This week, Zephy McKanna sets out to explain Multi-Armed bandits. Here at Wayfair, we are constantly testing new algorithms, product sort orders, marketing, and other messages using epsilon-first Multi-Armed Bandits – also known as A/B tests. We are also employing some more interesting MAB algorithms, like Thompson Sampling, to dynamically……

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Wayfair DS Explains It All: Afshaan Mazagonwalla on Bayesian Machine Learning

Wayfair DS Explains It All: Afshaan Mazagonwalla on Bayesian Machine Learning

Rachel Kirkwood Rachel Kirkwood January 21st, 2019

Welcome back to Wayfair Data Science’s Explainer Series! This week, Afshaan Mazagonwalla will be speaking about Bayesian Machine Learning Wayfair uses Bayesian and Reinforcement Learning based techniques for balancing the exploration – exploitation trade off between new and popular items in ranking products on the website and for recommending sales……

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Moving from Academia to Industry: 10 Tips from Wayfair Data Science PhDs

Moving from Academia to Industry: 10 Tips from Wayfair Data Science PhDs

Rachel Kirkwood Rachel Kirkwood October 31st, 2018

So, you graduated college, spent half a decade in a quantitative PhD program, maybe took a postdoctoral fellowship….and now what? You may want to stay the course and pursue a tenure track faculty position at a university–or, you may not. While the pressure to remain within the academy post PhD……

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How We Use Machine Learning and Natural Language Processing to Empower Search

How We Use Machine Learning and Natural Language Processing to Empower Search

Avatar Suyash Sonawane October 15th, 2018

Search is critical to the customer experience at Wayfair. What we show on the first page of results is incredibly important for users. The graph below shows what many people might already know when it comes to browsing and search habits: The majority of customers rarely look beyond the products…

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