Personalized delivery time optimization RKH Vijay, B Arai, M Hull, U Irmak, P Khincha, SM Shah, J Yan, L Yuan US Patent 9,473,446, 2016 | 299 | 2016 |
Serving large-scale batch computed data with project Voldemort. R Sumbaly, J Kreps, L Gao, A Feinberg, C Soman, S Shah FAST 2012, 18, 2012 | 258 | 2012 |
Systems and methods for email response prediction SM Shah, U Irmak, F Jumah, B Arai US Patent 9,344,297, 2016 | 243 | 2016 |
The big data ecosystem at linkedin R Sumbaly, J Kreps, S Shah Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 192 | 2013 |
Root cause detection in a service-oriented architecture M Kim, R Sumbaly, S Shah ACM SIGMETRICS Performance Evaluation Review 41 (1), 93-104, 2013 | 179 | 2013 |
Free dolly: Introducing the world’s first truly open instruction-tuned llm M Conover, M Hayes, A Mathur, J Xie, J Wan, S Shah, A Ghodsi, ... Company Blog of Databricks, 2023 | 176 | 2023 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 175 | 2022 |
LinkedIn skills: large-scale topic extraction and inference M Bastian, M Hayes, W Vaughan, S Shah, P Skomoroch, H Kim, ... Proceedings of the 8th ACM Conference on Recommender systems, 1-8, 2014 | 115 | 2014 |
Using Provenance to Aid in Personal File Search. S Shah, CAN Soules, GR Ganger, BD Noble USENIX Annual Technical Conference, 171-184, 2007 | 78 | 2007 |
The browsemaps: Collaborative filtering at LinkedIn. L Wu, S Shah, S Choi, M Tiwari, C Posse RSWeb@ RecSys 1271, 2014 | 63 | 2014 |
A scenario modeling pipeline for COVID-19 emergency planning JC Lemaitre, KH Grantz, J Kaminsky, HR Meredith, SA Truelove, ... Scientific reports 11 (1), 7534, 2021 | 62 | 2021 |
Modeling impression discounting in large-scale recommender systems P Lee, LVS Lakshmanan, M Tiwari, S Shah Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 40 | 2014 |
Avatara: OLAP for web-scale analytics products L Wu, R Sumbaly, C Riccomini, G Koo, HJ Kim, J Kreps, S Shah Proceedings of the VLDB Endowment 5 (12), 1874-1877, 2012 | 35 | 2012 |
Incremental processing on data intensive distributed applications SM Shah, MT Hayes US Patent App. 14/337,841, 2015 | 31 | 2015 |
A study of e‐mail patterns S Shah, BD Noble Software: Practice and Experience 37 (14), 1515-1538, 2007 | 29 | 2007 |
Hourglass: A library for incremental processing on Hadoop M Hayes, S Shah 2013 IEEE International Conference on Big Data, 742-752, 2013 | 26 | 2013 |
Connection invitation ordering SM Shah, M Tiwari, RR Sumbaly, C Wang US Patent 8,825,785, 2014 | 23 | 2014 |
Metaphor: a system for related search recommendations A Reda, Y Park, M Tiwari, C Posse, S Shah Proceedings of the 21st ACM international conference on Information and …, 2012 | 23 | 2012 |
Generating member profile recommendations based on community overlap data in a social graph SM Shsh US Patent App. 14/192,010, 2015 | 20 | 2015 |
Organizational overlap on social networks and its applications CJ Hsieh, M Tiwari, D Agarwal, XL Huang, S Shah Proceedings of the 22nd international conference on World Wide Web, 571-582, 2013 | 19 | 2013 |