Why e-Commerce Can't Afford to Ignore to Machine Learning

In the last 15 years, eBay grew from a simple website for online auctions to a full-scale e-commerce enterprise that processes petabytes of data to create a better shopping experience. When the user searches for a product, how do we find the best results for the user? One factor used in product ranking is user click-through rates or Product sell-through rate. In addition, user behavioural data gives the link from a query, to a product page view, and all the way to the purchase event. Through large-scale data analysis of query logs, we can create graphs between queries and products, and between different products.