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Bhargav Kanagal
Bhargav Kanagal
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Title
Cited by
Cited by
Year
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
2012017
Online filtering, smoothing and probabilistic modeling of streaming data
B Kanagal, A Deshpande
2008 IEEE 24th International Conference on Data Engineering, 1160-1169, 2008
1892008
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
942012
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
872011
Indexing correlated probabilistic databases
B Kanagal, A Deshpande
Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009
502009
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
492013
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
462010
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
B Kanagal, A Deshpande
Data Engineering, 2009. ICDE'09. IEEE 25th International Conference on, 1315 …, 2009
462009
Lineage processing over correlated probabilistic databases
B Kanagal, A Deshpande
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
412010
Realformer: Transformer likes residual attention
R He, A Ravula, B Kanagal, J Ainslie
arXiv preprint arXiv:2012.11747, 2020
372020
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
332013
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
312020
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
82019
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
62021
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
52022
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
42018
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
12002
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
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