In this talk Julian McAuley, UC San Diego Computer Science and Engineering, discusses the modeling techniques behind personalized recommendation technology on the web. Examples of Recommender Systems range from simple statistical approaches like Amazon's people who bought X also bought Y links, to complex AI-based approaches that drive feed ranking on sites like Facebook. We'll discuss the models that drive these systems, look at the research questions that drive the future of this field in the coming years, and discuss their ethical implications. Series: "Exploring Ethics" [Show ID: 33714]