Kamelia Aryafar- Learning to Rank in e-commerce AIWTB 2017
Kamelia Aryafar, Senior Data Scientist at Etsy, works on building scalable machine learning and computer vision tools to curate a personalized experience for Etsy users.
From AI With The Best, online developer conference April 29-30, 2017
Check out our website: https://goo.gl/MyW3BT
https://www.etsy.com/
Search is an important problem for modern e-commerce platforms such as Etsy. As a result, the task of ranking search results automatically or the so-called learning to rank is a multibillion dollar machine learning problem.In this talk, we first review Etsy's approach to learning to rank using a few hand-constructed features based on the Etsy listing's text-based representation. We then discuss a multimodal learning to rank model that combines these traditional text-based features with visual semantic features transferred from a deep convolutional neural network. We show that a multimodal approach to learning to rank can improve the quality of ranking in an experimental setting. Reference: http://www.kdd.org/kdd2016/subtopic/v...