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Thought this was cool: Media6Degrees(M6D)的牛人(一):Claudia Perlich

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Media6Degrees是一个牛公司,看了让我很兴奋。以社交广告业务为主,Google副总裁去年还跳过去了。

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今天贴一个:今年和去年的KDD优秀论文和优秀研究论文得主。

在读今年她们paper:

“Evaluating and Optimizing Online Advertising: Forget the click, but there are good proxies”
B. Dalessandro, R. Hook, C. Perlich. EMPGENS2 (2012)

“Bid Optimizing and Inventory Scoring in Targeted Online Advertising”
C. Perlich, B. Dalessandro, R. Hook, O.Stitelman, T. Raeder, F. Provost. 18th SIGKDD International Conference on Knowledge Discovery and Data Mining 2012

“Design Principles of Massive, Robust Prediction Systems”
T.Raeder, O.Stitelman,B. Dalessandro,C. Perlich, F.Provost. 18th SIGKDD International Conference on Knowledge Discovery and Data Mining 2012

“Causally Motivates Attribution for Online Advertising”
B. Dalessandro, O. Stitelman, C.Perlich, F.Provost. Under Review at ADKDD workshop at the 18th SIGKDD International Conference on Knowledge Discovery and Data Mining 2012

 

Claudia Perlich

claudia@m6d.com

37 East 18th Street, 8th Floor                                          New York, NY 10003


Office: (646) 745 1574                                                 Cell:  (914) 409 5609

I am currently working as Chief Scientist at  M6DM6D is the pioneer in Social Targeting.  We find the best prospective customers for your brand by targeting the people who cluster with your current customers around the web. Previously I was a member of the  Predictive Modeling Group at IBM T.J. Watson Research Center. My research interests are in practical applications of Machine Learning and Data Mining approaches. I graduated in 2004 from the Information Systems Department at Stern, NYU under the supervision ofFoster Provost. 


Awards and Recognitions

Best Research Paper KDD 2011: “Leakage in Data Mining: Formulation, Detection, and Avoidance”

Winner KDD CUP 2009 Fast Challenge: “Fast Challenge for CRM”

Finalist in the INFORMS Edelman competition 2009: “Operations Research Improves Sales Force Productivity”

Winner KDD CUP 2008 Task 1 and Task 2: “Identifying Breast Cancer”

Winner INFORMS Data Mining Contest 2008: “Identifying Pneumonia Patients”

Winner KDD CUP 2007 Task 2: “Predicting movie popularity for NETFLIX”

Data Mining Practice Prize at KDD 2007: Predictive modeling for marketing”

Winner ILP Challenge 2005: “Genetic classification”

Runner Up KDD CUP 2003 Task 1: “Predicting Citation Rates”

最热文章

from 丕子: http://www.zhizhihu.com/html/y2012/3892.html

Written by cwyalpha

八月 19, 2012 在 2:18 上午

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