Using Deep Learning to Build a Unified E-commerce Marketplace

Video description

Presented by Ali Vanderveld, Director of Data Science at ShopRunner

ShopRunner is an e-commerce company that receives feeds of product data from over 100 different retailer partners, including large department stores and retailers that specialize in electronics, appliances, nutritional products, and more. In order to provide a great user experience on our website and in our mobile app, we need to have one easy-to-navigate product taxonomy. We also would like to have sets of attribute tags that make it easy to filter down to exactly what any shopper is looking for. In this talk I will describe how we are using computer vision and natural language processing to place all of the products from our retailer partners into one easy-to-navigate shopping experience.

Table of contents

  1. Using Deep Learning to Build a Unified E-commerce Marketplace 00:18:33

Product information

  • Title: Using Deep Learning to Build a Unified E-commerce Marketplace
  • Author(s): Data Science Salon
  • Release date: September 2019
  • Publisher(s): Data Science Salon
  • ISBN: None