Program
November 1st (Friday), 2013
Schedule
| Time Period | Activity | Presenter/Author |
| 9:00AM – 9:05AM | Opening Remark | Chairs |
| 9:05AM – 10:05AM | Keynote Talk | Deepak Agarwal Director of Engineering – Machine Learning, LinkedIn Recommending Items to Users: An Explore/Exploit Perspective [PDF] |
| 10:05AM – 10:50AM | Invited Talk | Alek Kolcz Senior Staff Data Scientist – Twitter Inc. Understanding Twitter Users by Understanding Twitter Content |
| 10:50AM – 11:05AM | Break | |
| 11:05AM – 11:50AM | Invited Talk | Yi Zhang Associated Professor – University of California, Santa Cruz Personalized Recommendation: Machine Learning and Economics |
| 11:50AM – 12:10PM | Paper Talk | Janette Lehmann, Mounia Lalma, Ricardo Baeza-Yates, Elad Yom-Tov Yahoo Labs Networked User Engagement [PDF] |
| 12:10PM – 12:30PM | Paper Talk | Jia Huang, Xiaohua Hu Drexel University Information Passing in Online Recommendation [PDF] |
| Noon Break | ||
| 1:30PM – 2:30PM | Keynote Talk | Ronny Kohavi Partner Architect – Microsoft’s Online Services Division Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics [PDF] |
| 2:30PM – 3:15PM | Invited Talk | Caitlin Smallwood Director of Consumer Science and Analytics – Netflix Netflix Optimization: A confluence of metrics, algorithms, and experimentation [PDF] |
| 3:15PM – 3:35PM | Break | |
| 3:35PM – 3:55PM | Paper Talk | Ariyam Das, Harish Ranganath Yahoo Labs When Web Personalization Misleads Bucket Testing [PDF] |
| 3:55PM – 4:15PM | Paper Talk | Marina Danilevsky, Eunyee Koh Adobe Lab Information Graph Model and Application to Online Advertising |
| 4:15PM – 4:35PM | Paper Talk | Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Vineet Gupta, Shriram Revankar, Balaraman Ravindran Adobe Lab Will your Facebook post be engaging? |
| 4:35PM – 4:55PM | Paper Talk | Bhautik Patel, Ashish Tendulkar, Sutanu Chakraborti IIIT-Madras Towards selective user specific query expansion |
| 4:55PM – 5:00PM | Closing Remarks | Chairs |