Artificial Intelligence and Machine Learning in Computational Advertising

An average consumer today spends 8+ hours across all devices, interacting with online content almost entirely sponsored by advertisements. At projected $300B market share by 2020, online advertising and computational advertising in particular is perhaps the most visible and ubiquitous application of machine learning and artificial intelligence, and one that interacts directly with consumers. When done right, ads can enrich our lives. We will review key data and AI challenges in computational advertising.
Who is this presentation for?

Prerequisite knowledge:

What you'll learn?

Abraham is currently a Senior Director of Applied Research at eBay. He leads the Search Ranking and Monetization team, bringing together product search and advertising. Prior to eBay he was doing computational advertising at Amazon. Abraham has authored over a dozen papers in computational advertising and co-chairs the AdKDD working a top workshop in the field. He is also a part-time faculty member at Northeastern University in Silicon Valley.