Data Science

June 4, 2021
Wayfair is an international company with a presence in multiple countries: US, Canada, UK, and Germany. And where our UK customer might look to purchase a “heater”, our US customer might use the term “radiator” to describe the same thing. We want to ensure we’re able to understand that both customers are referring to the same item and interpret feedback left by customers in the form of product reviews correctly.
8 Min Read
June 3, 2021
In early August, the Data Science (DS) team put on their first DS-wide hackathon. The global hackathon event brought together Boston and Berlin based data scientists for one day of hacking and demos. The event challenged teams to think big about how algorithms can transform Wayfair’s business and help unveil unseen possibilities. Some successful tools and products on our site, like our Visual Search tool, started as hackathon projects! The hackathon is a fun challenge to try out new methods or algorithms, explore a different part of the business, and collaborate with team members across disciplines.
5 Min Read
December 7, 2020
Explainable Artificial Intelligence (XAI) is an emerging field within Machine Learning (ML). There has been considerable advances in the state of the art in recent years.
12 Min Read
November 30, 2020
Introduction
9 Min Read
November 11, 2020
Feedback Hub is Wayfair's inhouse web application, built by Data Science Analytics, which enables Analysts all across Wayfair to leverage data and insights generated by Natural Language Models developed by our Voice of the Customer DS team.
4 Min Read
October 13, 2020
By Sarah Cotterill
14 Min Read
May 5, 2020
Many approaches to ranking a list of products or search results are based on assigning a score to each item and sorting in descending order—in other words, greedy sorting approaches. In e-commerce, predictive models place the product that the customer is most likely to be interested in at the top, followed by the second most likely product, and so forth. But shopkeepers in physical stores know that shelf arrangement is key, and that product appeal is not a fixed quality: it can actually change depending on the context in which a product appears. For example, placing a cheaper item next to an expensive item of the same category could show them both off to their best advantage, highlighting the thriftiness of one and the luxuriousness of the other. When shelves are perfectly arranged, even if some individual products sell less, the store as a whole will make more sales. This phenomenon has been studied in marketing psychology under the heading of context effects, including such phenomena as the attraction, compromise, and similarity effects.
8 Min Read
January 20, 2020
Wayfair has a huge catalog with over 14 million items. Our site features a diverse array of products for people’s homes, with product categories ranging from “appliances” to “décor and pillows” to “outdoor storage sheds.” Some of these categories include hundreds of thousands of products; this broad offering ensures that we have something for every style and home. However, the large size of our product catalog also makes it hard for customers to find the perfect item among all of the possible options.
10 Min Read