Ron Bekkerman

Ron Bekkerman

Since September 2009, I work for LinkedIn. I completed my PhD in 2007. My advisor was Prof. James Allan.

Research interests

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Unsupervised and Semi-supervised Learning

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Large-Scale Machine Learning

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Web Mining

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Social Network Analysis

Research Projects

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Improving Clustering Stability and Accuracy using Deliberation

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Parallelization of Clustering Algorithms

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One-Class Clustering (Outlier Elimination)

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Multi-way Distributional Clustering and Combinatorial Markov Random Fields

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Image Clustering with Comrafs

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Disambiguation of People's Web Appearances

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Document Classification on Enron Email Dataset

NEW!!! I've co-edited "Scaling Up Machine Learning" – the Cambridge University Press book released in January 2012! Order from Amazon.com

Check out our KDD-2011 Tutorial "Scaling Up Machine Learning"

Publications

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L. Hong, R. Bekkerman, J. Adler, and B. Davison. Learning to Rank Social Update Streams. In Proceedings of SIGIR 2012 bibtex

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S. Budalakoti and R. Bekkerman. Bimodal Invitation-Navigation Fair Bets Model for Authority Identification in a Social Network. In Proceedings of WWW 2012 bibtex

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R. Bekkerman, and M. Gavish. High-Precision Phrase-Based Document Classification on a Modern Scale. In Proceedings of KDD 2011 bibtex ppt

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R. Bekkerman, M. Scholz, and K. Viswanathan. Improving Clustering Stability with Combinatorial MRFs. In Proceedings of KDD 2009 bibtex

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R. Bekkerman and M. Scholz. Data Weaving: Scaling Up the State-Of-The-Art in Data Clustering. In Proceedings of CIKM 2008 bibtex

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R. Bekkerman and K.Crammer. One-Class Clustering in the Text Domain. In Proceedings of EMNLP 2008 bibtex

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R. Bekkerman. Combinatorial Markov Random Fields and their Applications to Information Organization. PhD Thesis 2008, University of Massachusetts at Amherst bibtex ppt

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R. Bekkerman and J. Jeon. Multi-modal Clustering for Multimedia Collections. In Proceedings of CVPR 2007 bibtex ppt

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R. Bekkerman, H. Raghavan, J. Allan, and K. Eguchi. Interactive Clustering of Text Collections According to a User-Specified Criterion. In Proceedings of IJCAI 2007 bibtex ppt

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R. Bekkerman, S. Zilberstein, and J. Allan. Web Page Clustering Using Heuristic Search in the Web Graph. In Proceedings of IJCAI 2007 bibtex ppt

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R. Bekkerman, M.Sahami, and E. Learned-Miller. Combinatorial Markov Random Fields. In Proceedings of ECML 2006 bibtex ppt

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R. Bekkerman, K. Eguchi, and J. Allan. Unsupervised Non-topical Classification of Documents. CIIR Technical Report IR-472 2006 bibtex

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R. Bekkerman and M.Sahami. Semi-supervised Clustering using Combinatorial MRFs. In Proceedings of ICML 2006 Workshop on Learning in Structured Output Spaces bibtex ppt

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R. Bekkerman, R. El-Yaniv, and A. McCallum. Multi-way Distributional Clustering via Pairwise Interactions. In Proceedings of ICML 2005 bibtex ppt

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R. Bekkerman and A. McCallum. Disambiguating Web Appearances of People in a Social Network. In Proceedings of WWW 2005 bibtex ppt

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R. Bekkerman, A. McCallum, and G. Huang. Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora. CIIR Technical Report IR-418 2004 bibtex

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A. Culotta, R. Bekkerman, and A. McCallum. Extracting Social Networks and Contact Information from Email and the Web. In Proceedings of CEAS 2004 bibtex

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R. Bekkerman and J. Allan. Using Bigrams in Text Categorization. CIIR Technical Report IR-408 2004 bibtex

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R. Bekkerman. Word Distributional Clustering for Text Categorization. MSc Thesis 2003, Technion - Israel Institute of Technology bibtex ppt

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R. Bekkerman, R. El-Yaniv, N. Tishby, and Y. Winter. Distributional Word Clusters vs. Words for Text Categorization. In Special Issue on Variable and Feature Selection of JMLR 2003 bibtex

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R. Bekkerman, R. El-Yaniv, N. Tishby, and Y. Winter. On Feature Distributional Clustering for Text Categorization. In Proceedings of SIGIR 2001 bibtex ppt

Professional Activities

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Organizing Committee Member: KDD-12

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Program Committee Member: SIGIR-12, ICML-12, AAAI-11, ACL-11, KDD-10, ICML-10, KDD-09, ECML-09, NAACL-HLT-09, UMAP-09, SIGIR-08, ECML-08, ICML-07.

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Reviewer: JMLR, Pattern Recognition, Neurocomputing, IP&M, TKDE, TOIS, KAIS, TKDD, TOIT, SAM, ACL-08, EMNLP-07, NIPS-06.

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Selected talks: CMU, HP, Google, Microsoft, Yahoo!, IBM, Siemens, Ask.com, eBay, MIT.

 

Other stuff

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My old homepage.

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My Erdos number is 3. My wife's Erdos number is 2.