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 | 272 | 2017 |
Online filtering, smoothing and probabilistic modeling of streaming data B Kanagal, A Deshpande 2008 IEEE 24th International Conference on Data Engineering, 1160-1169, 2008 | 201 | 2008 |
Realformer: Transformer likes residual attention R He, A Ravula, B Kanagal, J Ainslie arXiv preprint arXiv:2012.11747, 2020 | 122 | 2020 |
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 | 103 | 2012 |
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 | 99 | 2020 |
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 | 94 | 2011 |
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 | 67 | 2022 |
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams B Kanagal, A Deshpande Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on, 1315 …, 2009 | 57 | 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 | 53 | 2010 |
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 | 52 | 2013 |
Indexing correlated probabilistic databases B Kanagal, A Deshpande Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 51 | 2009 |
Lineage processing over correlated probabilistic databases B Kanagal, A Deshpande Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 49 | 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 | 35 | 2013 |
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 | 13 | 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 | 12 | 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 | 7 | 2018 |
Impakt: A dataset for open-schema knowledge base construction L Vilnis, Z Fisher, B Kanagal, P Murray, S Sanghai arXiv preprint arXiv:2212.10770, 2022 | 2 | 2022 |
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 | 2 | 2021 |
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 |
Measuring an LLM's Proficiency at using APIs: A Query Generation Strategy Y Sheng, S Gandhe, B Kanagal, N Edmonds, Z Fisher, S Tata, A Selvan Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |