
November 19, 2009, 6:30pm
Mathematical Association of America Carriage House
1781 Church Street, NW
Washington, DC 20036
The process of applying mathematics to the real world is undergoing a radical change through our ability to gather data at a massive scale. This is particularly true at Google, where we routinely process petabytes of human language, and interact with many millions of users. In this talk I'll describe some surprising realizations that arose from this data while trying to improve part of our search quality. It turns out that everything I thought I knew about similarity was wrong, and I should have been talking to psychologists.
Kevin McCurley is a Research Scientist at Google, where he has worked since 2005. He previously held positions at IBM Almaden Research Center, Sandia National Laboratories, and University of Southern California. He has published in the areas of information retrieval, algorithms, parallel computing, cryptography, and number theory.