Presentation: "Machine Learning on Big Data for Personalized Internet Advertising"

Time: Friday 10:35 - 11:35

Location: Franciscan I & II

Abstract:

Marketers have long sought more effective ways to reach their audience – to show the right ad to the right person at the right time. Huge volumes of internet activity data, advances in machine learning methods, new hardware and software for large scale distributed computing, and developments in real-time decisioning have made this finally possible. Increasingly the particular advertisement that is seen on a web page is decided in a auction that takes place in a fraction of a second, while the page is loading. In this presentation I will discuss how we, at Quantcast, meet the challenges in personalizing advertising. This process involves multiple machine learning methods to evaluate of about 15 billion individual daily media events and leveraging this data to to make precise bids in almost 100,000 auctions every second.

Michael Recce, Lead of Modeling Team at Quantcast

Michael Recce

Dr. Michael Recce has been managing the Modeling team at Quantcast for the past year. Prior to Quantcast, he lead Fortent’s transaction monitoring and risk assessment systems. For seven years, Michael worked extensively with financial institutions devising improved methods for detecting unusual activity in financial transaction data. Early in his career, Michael was a product engineering manager at Intel Corporation, where he led the development of new memory products for the company. Other projects he has worked on include the design of a control system for a space-based robot for Daimler-Benz, which was developed to run scientific and engineering experiments in the space station. Michael holds six patents, including one for research of a behavioral biometric called dynamic grip recognition, and was a recipient of the Thomas A. Edison Award in 2005. He has been a lecturer at University College, London and a professor of information systems at New Jersey Institute of Technology. He received his bachelor's degree from the University of California-Santa Cruz and his doctorate from University College, London.