| Scaling up machine learning: Parallel and distributed approaches R Bekkerman, M Bilenko, J Langford Cambridge University Press, 2012 | 614 | 2012 |
| Distributional word clusters vs. words for text categorization R Bekkerman, R El-Yaniv, N Tishby, Y Winter The Journal of Machine Learning Research 3, 1183-1208, 2003 | 464 | 2003 |
| Disambiguating web appearances of people in a social network R Bekkerman, A McCallum Proceedings of the 14th international conference on World Wide Web, 463-470, 2005 | 413 | 2005 |
| Extracting social networks and contact information from email and the web A Culotta, R Bekkerman, A McCallum CEAS, 2004 | 395 | 2004 |
| Automatic categorization of email into folders: Benchmark experiments on Enron and SRI corpora R Bekkerman, A McCallum, G Huang Computer Science Department Faculty Publication Series, 218, 2004 | 264 | 2004 |
| Using bigrams in text categorization R Bekkerman, J Allan Department of Computer Science, University of Massachusetts, Amherst 1003, 1-2, 2004 | 245 | 2004 |
| On feature distributional clustering for text categorization R Bekkerman, R El-Yaniv, N Tishby, Y Winter Proceedings of the 24th annual international ACM SIGIR conference on …, 2001 | 199 | 2001 |
| Multi-way distributional clustering via pairwise interactions R Bekkerman, R El-Yaniv, A McCallum ICML, 2005 | 146 | 2005 |
| Multi-modal clustering for multimedia collections R Bekkerman, J Jeon 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 118 | 2007 |
| Learning to rank social update streams L Hong, R Bekkerman, J Adler, BD Davison Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 83 | 2012 |
| High-precision phrase-based document classification on a modern scale R Bekkerman, M Gavish Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 75 | 2011 |
| Phrase-based data classification system R Bekkerman US Patent 9,043,285, 2015 | 60 | 2015 |
| Interactive Clustering of Text Collections According to a User-Specified Criterion. R Bekkerman, H Raghavan, J Allan, K Eguchi IJCAI 7, 684-689, 2007 | 51 | 2007 |
| Device, system and method for generating a predictive model by machine learning DJ Marcus, R Bekkerman, A Kaldor US Patent App. 14/959,166, 2016 | 50 | 2016 |
| Bimodal invitation-navigation fair bets model for authority identification in a social network S Budalakoti, R Bekkerman Proceedings of the 21st international conference on World Wide Web, 709-718, 2012 | 34 | 2012 |
| Combinatorial Markov random fields R Bekkerman, M Sahami, EG Learned-Miller Proceedings of the European Conference on Machine Learning (ECML) 17, 30-41, 2006 | 34 | 2006 |
| Predicting purchase behavior of website audiences S Kagan, R Bekkerman International Journal of Electronic Commerce 22 (4), 510-539, 2018 | 32 | 2018 |
| Web Page Clustering Using Heuristic Search in the Web Graph. R Bekkerman, S Zilberstein, J Allan IJCAI 7, 2280-2285, 2007 | 30 | 2007 |
| Semi-supervised clustering using combinatorial MRFs R Bekkerman, M Sahami ICML-06 Workshop on Learning in Structured Output Spaces, 2006 | 30 | 2006 |
| Data weaving: Scaling up the state-of-the-art in data clustering R Bekkerman, M Scholz Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 28 | 2008 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
