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...

Wayfair DS Explains It All: Jerry Chen on A/B Test Measurement Validation

July 25, 2019

Experimentation plays a central role in understanding the business impact of data science strategies and solutions. A few weeks ago, Wayfair Data Scie...

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...

Gemini: Wayfair’s advanced marketing test design and measurement platform

July 8, 2019

At Wayfair, data scientists help optimize our marketing channel performance by rapidly and iteratively developing machine learning algorithms and data...

Wayfair DS Explains It All: Jinnie Chen on Product Tagging

June 24, 2019

Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creat...

Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

June 14, 2019

Executive Summary Object detection is an important component of the computer vision workflow at Wayfair. The goal of object detection is to detect bo...

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...

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

May 28, 2019

Most machine learning algorithms are designed to train on balanced datasets. Resultantly, when our data are highly imbalanced, a typical model will ha...

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