| Ms marco: A human generated machine reading comprehension dataset P Bajaj, D Campos, N Craswell, L Deng, J Gao, X Liu, R Majumder, ... arXiv preprint arXiv:1611.09268, 2016 | 2782* | 2016 |
| Overview of the TREC 2019 deep learning track N Craswell, B Mitra, E Yilmaz, D Campos, EM Voorhees Proceedings of the 28th Text REtrieval Conference (TREC 2019), 2020 | 641 | 2020 |
| Learning to match using local and distributed representations of text for web search B Mitra, F Diaz, N Craswell Proceedings of the 26th International Conference on World Wide Web, 1291-1299, 2017 | 577 | 2017 |
| An introduction to computational networks and the computational network toolkit D Yu, A Eversole, M Seltzer, K Yao, Z Huang, B Guenter, O Kuchaiev, ... Microsoft Technical Report MSR-TR-2014–112, 2014 | 488 | 2014 |
| An Introduction to Neural Information Retrieval B Mitra, N Craswell Foundations and Trends® in Information Retrieval, 2017 | 439 | 2017 |
| Query expansion with locally-trained word embeddings F Diaz, B Mitra, N Craswell Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 384 | 2016 |
| Neural models for information retrieval B Mitra, N Craswell arXiv preprint arXiv:1705.01509, 2017 | 237 | 2017 |
| Improving document ranking with dual word embeddings E Nalisnick, B Mitra, N Craswell, R Caruana Proceedings of the 25th international conference companion on world wide web …, 2016 | 209 | 2016 |
| Evaluating stochastic rankings with expected exposure F Diaz, B Mitra, MD Ekstrand, AJ Biega, B Carterette Proceedings of the 29th ACM international conference on information …, 2020 | 197 | 2020 |
| A dual embedding space model for document ranking B Mitra, E Nalisnick, N Craswell, R Caruana arXiv preprint arXiv:1602.01137, 2016 | 190 | 2016 |
| Large language models can accurately predict searcher preferences P Thomas, S Spielman, N Craswell, B Mitra Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 122 | 2024 |
| Query Auto-Completion for Rare Prefixes B Mitra, N Craswell Proceedings of the 24th ACM International Conference on Information and …, 2015 | 103 | 2015 |
| Exploring Session Context using Distributed Representations of Queries and Reformulations B Mitra Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 102 | 2015 |
| Neural ranking models with multiple document fields H Zamani, B Mitra, X Song, N Craswell, S Tiwary Proceedings of the eleventh ACM international conference on web search and …, 2018 | 101 | 2018 |
| ORCAS: 18 million clicked query-document pairs for analyzing search N Craswell, D Campos, B Mitra, E Yilmaz, B Billerbeck Proceedings of the 29th ACM International Conference on Information …, 2020 | 98 | 2020 |
| Local self-attention over long text for efficient document retrieval S Hofstätter, H Zamani, B Mitra, N Craswell, A Hanbury Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 95 | 2020 |
| Analyzing and learning from user interactions for search clarification H Zamani, B Mitra, E Chen, G Lueck, F Diaz, PN Bennett, N Craswell, ... Proceedings of the 43rd international acm sigir conference on research and …, 2020 | 87 | 2020 |
| A multi-objective optimization framework for multi-stakeholder fairness-aware recommendation H Wu, C Ma, B Mitra, F Diaz, X Liu ACM Transactions on Information Systems 41 (2), 1-29, 2022 | 85* | 2022 |
| On user interactions with query auto-completion B Mitra, M Shokouhi, F Radlinski, K Hofmann Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 85 | 2014 |
| An eye-tracking study of user interactions with query auto completion K Hofmann, B Mitra, F Radlinski, M Shokouhi Proceedings of the 23rd ACM international conference on information and …, 2014 | 80 | 2014 |
Nick CraswellMicrosoftEmail verificata su microsoft.com