Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference

Ecommerce conference sessions

4:15pm–4:55pm Thursday, 12/08/2016
Ofer Ron examines the development of LivePerson's traffic targeting solution from a generic to a domain-specific implementation to demonstrate that a thorough understanding of the problem domain is essential to a good machine-learning-based product. Ofer then reviews the underlying architecture that makes this possible.
2:35pm–3:15pm Wednesday, 12/07/2016
Making recommendations for the food and beverage industry is tricky as they must take into consideration the user's context (location, time, day, etc.) in addition to the constraints of a regular recommendation algorithm. Arun Veettil explains how to incorporate user contextual information into recommendation algorithms and apply reinforcement learning to track continuously changing user behavior.
2:35pm–3:15pm Thursday, 12/08/2016
Shopback, a company that gives cash back to customers for successful transactions covering various lifestyles, crawls 25 million products from multiple ecommerce websites to provide a smooth customer experience. Qiaoliang Xiang walks you through how to crawl and update products, how to scale it using big data tools, and how to design a modularized system.
5:05pm–5:45pm Wednesday, 12/07/2016
As the number of products on Lazada grows exponentially, helping customers find relevant, quality products is key to customer experience. Eugene Yan shares how Lazada ranks products on its website, covering how Lazada scales data pipelines to collect user-behavioral data, cleans and prepares data, creates simple features, builds models to meet key objectives, and measures outcomes.