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Speaker: Yanen Li
Affiliation: Snapchat

ABSTRACT: Snapchat is the biggest ephemeral social network in the world in which more than 170 million users express themselves and live in the moment. In such a large ephemeral social network there are many types of information that will disappear in every second. It is very challenging to analyze and understand the users’ real interests and further improve users’ experience. In this talk I will introduce some of our works on doing Personalized Recommendations in Snapchat. I will first talk about the Recommendation Engine architecture that processes hundreds of millions of recommendations daily. Then I will talk about some interesting research works in Machine Learning and Deep Learning that lead to better personalized recommendations in Snapchat. BIO: Yanen Li is a Senior Research Scientist at Snap Research. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2014, under supervision of Prof. ChengXiang Zhai. His principal research interest lies in Recommender Systems, Ranking, Personalization. He also has broad interests in Machine Learning, Deep Learning, Web Search, and Data Mining. Yanen has over 30 publications in books, journals, and major conferences. He also served in numerous conference committees including KDD, WWW, SIGIR, CIKM, WSDM, EMNLP etc..

 Hosted by Professor Raghu Meka

Date(s) - Jan 11, 2018
4:15 pm - 5:45 pm


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