| Asking the right questions in crowd data sourcing R Boim, O Greenshpan, T Milo, S Novgorodov, N Polyzotis, WC Tan 2012 IEEE 28th International Conference on Data Engineering, 1261-1264, 2012 | 107 | 2012 |
| Diversification and refinement in collaborative filtering recommender R Boim, T Milo, S Novgorodov Proceedings of the 20th ACM international conference on Information and …, 2011 | 92 | 2011 |
| Query-Oriented Data Cleaning with Oracles M Bergman, T Milo, S Novgorodov, WC Tan Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 85 | 2015 |
| Answering planning queries with the crowd H Kaplan, I Lotosh, T Milo, S Novgorodov Proceedings of the VLDB Endowment 6 (9), 697-708, 2013 | 49 | 2013 |
| Generating product descriptions from user reviews S Novgorodov, I Guy, G Elad, K Radinsky The World Wide Web Conference, 1354-1364, 2019 | 45 | 2019 |
| OASSIS: query driven crowd mining Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 41 | 2014 |
| Crowdplanr: Planning made easy with crowd I Lotosh, T Milo, S Novgorodov 2013 IEEE 29th International Conference on Data Engineering (ICDE), 1344-1347, 2013 | 33 | 2013 |
| Dance: Data cleaning with constraints and experts A Assadi, T Milo, S Novgorodov 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1409-1410, 2017 | 27 | 2017 |
| QOCO: a query oriented data cleaning system with oracles M Bergman, T Milo, S Novgorodov, WC Tan Proceedings of the VLDB Endowment 8 (12), 1900-1903, 2015 | 27 | 2015 |
| Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification I Hasson, S Novgorodov, G Fuchs, Y Acriche Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 19 | 2021 |
| Cleaning data with constraints and experts A Assadi, T Milo, S Novgorodov Proceedings of the 21st International Workshop on the Web and Databases, 1-6, 2018 | 19 | 2018 |
| Rudolf: interactive rule refinement system for fraud detection T Milo, S Novgorodov, WC Tan Proceedings of the VLDB Endowment 9 (13), 1465-1468, 2016 | 19 | 2016 |
| An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search A Dagan, I Guy, S Novgorodov Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 17 | 2021 |
| The temp secretary problem A Fiat, I Gorelik, H Kaplan, S Novgorodov Algorithms-ESA 2015: 23rd Annual European Symposium, Patras, Greece …, 2015 | 17 | 2015 |
| Direc: Diversified recommendations for semantic-less collaborative filtering R Boim, T Milo, S Novgorodov 2011 IEEE 27th International Conference on Data Engineering, 1312-1315, 2011 | 17 | 2011 |
| Managing General and Individual Knowledge in Crowd Mining Applications. Y Amsterdamer, SB Davidson, A Kukliansky, T Milo, S Novgorodov, ... CIDR, 2015 | 16 | 2015 |
| Generating Tips from Product Reviews S Hirsch, S Novgorodov, I Guy, A Nus Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 15 | 2021 |
| Descriptions from the Customers: Comparative Analysis of Review-based Product Description Generation Methods S Novgorodov, I Guy, G Elad, K Radinsky ACM Transactions on Internet Technology (TOIT) 20 (4), 1-31, 2020 | 15 | 2020 |
| Learning to Generate Personalized Product Descriptions G Elad, I Guy, S Novgorodov, B Kimelfeld, K Radinsky Proceedings of the 28th ACM International Conference on Information and …, 2019 | 14 | 2019 |
| Interactive Rule Refinement for Fraud Detection. T Milo, S Novgorodov, WC Tan EDBT, 265-276, 2018 | 14 | 2018 |
Tova MiloProfessor of Computer Science, Tel Aviv University在 cs.tau.ac.il 的电子邮件经过验证
