| Methods and metrics for cold-start recommendations AI Schein, A Popescul, LH Ungar, DM Pennock Proceedings of the 25th annual international ACM SIGIR conference on …, 2002 | 2791 | 2002 |
| Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments A Popescul, LH Ungar, DM Pennock, S Lawrence arXiv preprint arXiv:1301.2303, 2013 | 718 | 2013 |
| Statistical relational learning for link prediction A Popescul, LH Ungar IJCAI workshop on learning statistical models from relational data 2003, 2003 | 390 | 2003 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 190 | 2007 |
| Linear prediction models with graph regularization for web-page categorization T Zhang, A Popescul, B Dom Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 147 | 2006 |
| Clustering and identifying temporal trends in document databases A Popescul, GW Flake, S Lawrence, LH Ungar, CL Giles Proceedings IEEE Advances in Digital Libraries 2000, 173-182, 2000 | 143 | 2000 |
| Automatic labeling of document clusters A Popescul, LH Ungar Unpublished manuscript, available at http://citeseer. nj. nec. com …, 2000 | 113 | 2000 |
| Generative models for cold-start recommendations AI Schein, A Popescul, LH Ungar, DM Pennock Proceedings of the 2001 SIGIR workshop on recommender systems 6, 2001 | 106 | 2001 |
| Structural logistic regression for link analysis A Popescul, LH Ungar | 85 | 2003 |
| Statistical relational learning for document mining A Popescul, LH Ungar, S Lawrence, DM Pennock Third IEEE International Conference on Data Mining, 275-282, 2003 | 77 | 2003 |
| Quick access: building a smart experience for Google drive S Tata, A Popescul, M Najork, M Colagrosso, J Gibbons, A Green, A Mah, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 58 | 2017 |
| Methods and systems for generating query and result-based relevance indexes A Levin, K Kurapati, T Imielinski, A Gerasoulis, A Popescul US Patent 7,680,775, 2010 | 56 | 2010 |
| Cluster-based concept invention for statistical relational learning A Popescul, LH Ungar Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 55 | 2004 |
| CROC: a new evaluation criterion for recommender systems AI Schein, A Popescul, LH Ungar, DM Pennock Electronic Commerce Research 5 (1), 51-74, 2005 | 50 | 2005 |
| Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval AI Schein, A Popescul, LH Ungar, DM Pennock Association for Computing Machinery, 2002 | 50 | 2002 |
| Towards structural logistic regression: Combining relational and statistical learning A Popescul, LH Ungar, S Lawrence, DM Pennock | 48 | 2002 |
| System for targeting data to sites referenced on a page E Manavoglu, A Popescul, B Dom, C Brunk US Patent 8,108,390, 2012 | 43 | 2012 |
| Keyword bidding strategy for novel concepts A Popescul, CA Brunk, B Dom US Patent 7,941,436, 2011 | 41 | 2011 |
| Mixtures of conditional maximum entropy models D Pavlov, A Popescul, DM Pennock, LH Ungar Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003 | 33 | 2003 |
| 16 Feature Generation and Selection in Multi-Relational Statistical Learning A Popescul, LH Ungar Statistical Relational Learning, 453, 2007 | 23 | 2007 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
