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Rong YanRong Yan
Large-Scale Social Media Mining in Facebook

Wednesday, October 12, 2011
Building 3 Auditorium - 11:00 AM
(Coffee and cookies at 10:30 AM)

Facebook has grown into one of the largest websites in the world today with over 700 million users. Many unique technological challenges and related applications have arisen at this scale. In this talk, I will overview a number of Facebook algorithms and applications which mine this massive social data streams for different purposes, such as identifying popular trends in Facebook, detecting user happiness, discovering latent topics of Facebook users, etc. Moreover, I will also describe other related Facebook applications in the domain of rich media, such as face detection and recognition.

Dr. Rong Yan is currently a Research Scientist in Facebook. He was a Research Staff Member in the IBM T. J. Watson Research Center from 2006 to 2009. Dr. Yan received his M.Sc. (2004) and Ph.D. (2006) degree from Carnegie Mellon University's School of Computer Science. His research interests include social media mining, multimedia information retrieval, large-scale machine learning, data mining and ads optimization. Dr. Yan received the Best Paper runner-Up awards in ACM Multimedia 2004 and ACM CIVR 2007. He has received the IBM Research External Recognition Award in 2007. He led the technical efforts for building the face detection service in Facebook, and also designed the automatic video retrieval system that achieves the best performance in the world-wide TRECVID evaluation in 2003 / 2005. Dr. Yan has authored or co-authored 5 book chapters and more than 60 international conference and journal papers. Dr. Yan has served or is serving as co-chairs for 10 conferences / workshops and as a Program Committee member in more than 40 ACM / IEEE conferences. Dr. Yan gave tutorials and guest lectures at several major conferences and universities.
IS&T Colloquium Committee Host: Nargess Memarsadeghi

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