Wayfair Tech Blog

Welcome to Wayfair's Realtime 3d Model API

The purpose of the 3D API is to provide external developers access to the Wayfair production grade models stored as realtime 3D assets. End users are able to call API to get models and product information.

Wayfair Tech Blog

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

Experimentation plays a central role in understanding the business impact of data science strategies and solutions. A few weeks ago, Wayfair Data Science Manager Jerry Chen shared one way Wayfair has improved the experimentation process by building a unified test design and measurement platform (Gemini) for our marketing AB tests (read the blog post here!). In this video, Jerry will provide an introduction to running large scale Monte Carlo simulations to validate/optimize test design and measurement methodology using historical data.

Wayfair Tech Blog

Lynx: Identifying Wayfair Customers’ Functional Needs

Introduction

Wayfair Tech Blog

Wayfair DS Explains It All: Jinnie Chen on Product Tagging

Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creation and more.This week in Wayfair Data Science’s explainer series, Senior Data Scientist Jinnie Chen outlines some of the strategies we applied in Wayfair to perform automated product tagging.

Wayfair Tech Blog

Getting The Most Out of XML and Exploring Anko Layouts for Android

Domain-specific languages (DSLs) – are they worth the hype? In a recent investigation, our Berlin-based Android Team were looking to further optimize Wayfair’s Android app, and were looking around for options. With the inconvenience of creating a UI in XML, and the appeal of a language that focuses on a specific aspect of an application, our team chose to give Anko Layouts a try.

Wayfair Tech Blog

Wayfair DS Explains It All: Cole Zuber on Evaluating Recommender Systems

Serving effective personalized product recommendations is critical to providing a pleasant shopping experience for customers at Wayfair. To do this, the Wayfair Data Science team builds state of the art recommender systems that leverage the customer’s previous browsing history to surface products that match their interests. This week in Wayfair Data Science’s explainer series, Senior Data Scientist Cole Zuber describes how we approach evaluating these recommender systems.

Wayfair Tech Blog

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

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.

Wayfair Tech Blog

Meet Jen Wang: Chemist. Traditional Chinese Medicine Enthusiast. Data Scientist.

How does a chemist with a postdoc in drug design end up working as a data scientist at an e-commerce home furnishings company? “Ha, so it’s a long story actually,” says Jen Wang, data science manager on the Marketing team at Wayfair.

Wayfair Tech Blog

Meet John Walk: Ice Climber. Nuclear Physicist. Data Scientist.

John stands out in a room. With a flaming red beard and an arm of tattoos, he looks like he might be more at home in a Nordic tavern than an office. But once you notice his Captain Hammer t-shirt, the Gandalf action figure on his desk, and start talking to him about Nuclear Physics, you see that he’s right at home in a room full of data scientists.