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
Product information
- Title: Using Deep Learning to Build a Unified E-commerce Marketplace
- Author(s):
- Release date: September 2019
- Publisher(s): Data Science Salon
- ISBN: None
You might also like
video
How to Automate Pricing with Machine Learning: Challenges and Learnings Jennifer Est
Presented by Jennifer Esteche, Machine Learning Research Engineer at Tryolabs Determining prices for retail products manually …
video
Apply Natural Language Processing in Segmenting Online Audience
Presented by Jasmine Ngo, Mgr, Analytics & Marketing Science at Deutsch Sometimes, conversations on social media …
book
Make an E-commerce Site in a Weekend: Using PHP
Learn to build e-commerce sites using PHP by installing a server using WAMP, configuring MySQL for …
book
Shopify Theme Customization with Liquid
Discover how to customize Shopify themes for your eCommerce websites with powerful tools and Liquid templates …