| Online filtering, smoothing and probabilistic modeling of streaming data B Kanagal, A Deshpande 2008 IEEE 24th International Conference on Data Engineering, 1160-1169, 2008 | 187 | 2008 |
| A generic coordinate descent framework for learning from implicit feedback I Bayer, X He, B Kanagal, S Rendle Proceedings of the 26th International Conference on World Wide Web, 1341-1350, 2017 | 184 | 2017 |
| Supercharging recommender systems using taxonomies for learning user purchase behavior B Kanagal, A Ahmed, S Pandey, V Josifovski, J Yuan, L Garcia-Pueyo arXiv preprint arXiv:1207.0136, 2012 | 92 | 2012 |
| Sensitivity analysis and explanations for robust query evaluation in probabilistic databases B Kanagal, J Li, A Deshpande Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 84 | 2011 |
| Indexing correlated probabilistic databases B Kanagal, A Deshpande Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 50 | 2009 |
| Latent factor models with additive and hierarchically-smoothed user preferences A Ahmed, B Kanagal, S Pandey, V Josifovski, LG Pueyo, J Yuan Proceedings of the sixth ACM international conference on Web search and data …, 2013 | 49 | 2013 |
| Efficient Query Evaluation over Temporally Correlated Probabilistic Streams B Kanagal, A Deshpande Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on, 1315 …, 2009 | 46 | 2009 |
| Rank selection in low-rank matrix approximations: A study of cross-validation for nmfs B Kanagal, V Sindhwani Proc Conf Adv Neural Inf Process 1, 10-15, 2010 | 45 | 2010 |
| Lineage processing over correlated probabilistic databases B Kanagal, A Deshpande Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 41 | 2010 |
| Focused matrix factorization for audience selection in display advertising B Kanagal, A Ahmed, S Pandey, V Josifovski, L Garcia-Pueyo, J Yuan 2013 IEEE 29th International Conference on Data Engineering (ICDE), 386-397, 2013 | 31 | 2013 |
| Learning to extract attribute value from product via question answering: A multi-task approach Q Wang, L Yang, B Kanagal, S Sanghai, D Sivakumar, B Shu, Z Yu, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 23 | 2020 |
| Realformer: Transformer likes residual attention R He, A Ravula, B Kanagal, J Ainslie arXiv preprint arXiv:2012.11747, 2020 | 18 | 2020 |
| Constructing a comprehensive events database from the web Q Wang, B Kanagal, V Garg, D Sivakumar Proceedings of the 28th ACM International Conference on Information and …, 2019 | 7 | 2019 |
| DOCENT: Learning self-supervised entity representations from large document collections Y Zemlyanskiy, S Gandhe, R He, B Kanagal, A Ravula, J Gottweis, F Sha, ... arXiv preprint arXiv:2102.13247, 2021 | 5 | 2021 |
| Recommendations for all: Solving thousands of recommendation problems daily B Kanagal, S Tata 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1404-1413, 2018 | 4 | 2018 |
| Mave: A product dataset for multi-source attribute value extraction L Yang, Q Wang, Z Yu, A Kulkarni, S Sanghai, B Shu, J Elsas, B Kanagal Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 3 | 2022 |
| Focused matrix factorization for audience selection in display advertising J Yuan, B Kanagal, V Josifovski, L Garcia-Pueyo, A Ahmed, S Pandey Interaction 12 (4), 331-370, 2002 | 1 | 2002 |
| ShopTalk: A System for Conversational Faceted Search G Manku, J Lee-Thorp, B Kanagal, J Ainslie, J Feng, Z Pearson, E Anjorin, ... arXiv preprint arXiv:2109.00702, 2021 | | 2021 |
| RealFormer: Transformer Likes Residual Attention A Ravula, B Kanagal, J Ainslie, R He | | 2021 |
| Scalable statistical modeling and query processing over large scale uncertain databases BK Shamanna University of Maryland, College Park, 2011 | | 2011 |
Amol DeshpandeProfessorVerified email at cs.umd.edu
