| Content-boosted collaborative filtering for improved recommendations P Melville, RJ Mooney, R Nagarajan Aaai/iaai 23, 187-192, 2002 | 1963 | 2002 |
| Recommender systems. P Melville, V Sindhwani Encyclopedia of machine learning 1, 829-838, 2010 | 893 | 2010 |
| Sentiment analysis of blogs by combining lexical knowledge with text classification P Melville, W Gryc, RD Lawrence Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 745 | 2009 |
| Diverse ensembles for active learning P Melville, RJ Mooney Proceedings of the twenty-first international conference on Machine learning, 74, 2004 | 484 | 2004 |
| Constructing diverse classifier ensembles using artificial training examples P Melville, RJ Mooney Ijcai 3, 505-510, 2003 | 404 | 2003 |
| Data quality from crowdsourcing: a study of annotation selection criteria PY Hsueh, P Melville, V Sindhwani Proceedings of the NAACL HLT 2009 workshop on active learning for natural …, 2009 | 403 | 2009 |
| Creating diversity in ensembles using artificial data P Melville, RJ Mooney Information Fusion 6 (1), 99-111, 2005 | 386 | 2005 |
| Document-word co-regularization for semi-supervised sentiment analysis V Sindhwani, P Melville 2008 Eighth ieee international conference on data mining, 1025-1030, 2008 | 284 | 2008 |
| Content-boosted collaborative filtering P Melville, RJ Mooney, R Nagarajan Proceedings of the SIGIR-2001 Workshop on Recommender Systems 9, 187-192, 2001 | 206 | 2001 |
| Emerging topic detection using dictionary learning SP Kasiviswanathan, P Melville, A Banerjee, V Sindhwani Proceedings of the 20th ACM international conference on Information and …, 2011 | 170 | 2011 |
| Active feature-value acquisition M Saar-Tsechansky, P Melville, F Provost Management Science 55 (4), 664-684, 2009 | 158 | 2009 |
| Optimizing debt collections using constrained reinforcement learning N Abe, P Melville, C Pendus, CK Reddy, DL Jensen, VP Thomas, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 127 | 2010 |
| Active feature-value acquisition for classifier induction P Melville, M Saar-Tsechansky, F Provost, R Mooney Fourth IEEE International Conference on Data Mining (ICDM'04), 483-486, 2004 | 120 | 2004 |
| Experiments on ensembles with missing and noisy data P Melville, N Shah, L Mihalkova, RJ Mooney Multiple Classifier Systems: 5th International Workshop, MCS 2004, Cagliari …, 2004 | 119 | 2004 |
| Social media analytics: Channeling the power of the blogosphere for marketing insight P Melville, V Sindhwani, R Lawrence Proc. of the WIN 1 (1), 1-5, 2009 | 104 | 2009 |
| Active learning for probability estimation using Jensen-Shannon divergence P Melville, SM Yang, M Saar-Tsechansky, R Mooney Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005 | 96 | 2005 |
| Natural language assistant: A dialog system for online product recommendation J Chai, V Horvath, N Nicolov, M Stys, N Kambhatla, W Zadrozny, ... AI Magazine 23 (2), 63-63, 2002 | 91 | 2002 |
| Winning the KDD cup orange challenge with ensemble selection A Niculescu-Mizil, C Perlich, G Swirszcz, V Sindhwani, Y Liu, P Melville, ... KDD-Cup 2009 competition, 23-34, 2009 | 87 | 2009 |
| Learning to rank for robust question answering A Agarwal, H Raghavan, K Subbian, P Melville, RD Lawrence, ... Proceedings of the 21st ACM international conference on Information and …, 2012 | 83 | 2012 |
| An expected utility approach to active feature-value acquisition P Melville, M Saar-Tsechansky, F Provost, R Mooney Fifth IEEE International Conference on Data Mining (ICDM'05), 4 pp., 2005 | 83 | 2005 |
