Using Deep Learning to Build a Unified E-commerce Marketplace
Using Deep Learning to Build a Unified E-commerce Marketplace
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 18M | 914 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 18M | 914 MB
Genre: eLearning | Language: English
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.
Using Deep Learning to Build a Unified E-commerce Marketplace
