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Where, When, Why, and How: Directions in Machine Learning and Reasoning about Location

Location: Regency Ballroom Level: Novice
Average rating: ***..
(3.70, 10 ratings)

Location is central in the lives of people, and will play an increasingly important role in context-sensitive services that consider the preferences, goals, and activities of people. I will discuss the promise of machine learning and reasoning about location to deliver such services, touching on several directions and opportunities. I will illustrate key ideas via a review of results and prototypes in several areas including ecommerce, ecocomputing, collaboration, and transportation, and reflect about the importance of considering peoples’ preferences about privacy in developing services that harness location information.

Photo of Eric Horvitz

Eric Horvitz

Microsoft Research

Eric Horvitz is Principal Researcher and Research Area Manager at Microsoft Research and is serving as President of the Association for the Advancement of Artificial Intelligence (AAAI). His interests span theoretical and practical challenges in machine learning and reasoning, decision making under uncertainty, ubiquitous computing, and human-computer interaction. His organization at Microsoft Research includes teams doing R&D in machine intelligence, search and retrieval, mobile computing, human-computer interaction, ecommerce, theory, and cryptography. He received his PhD and MD degrees at Stanford University. More information can be found at: http://research.microsoft.com/~horvitz