| Query expansion using word embeddings S Kuzi, A Shtok, O Kurland Proceedings of the 25th ACM international on conference on information and …, 2016 | 265 | 2016 |
| Predicting query performance by query-drift estimation A Shtok, O Kurland, D Carmel, F Raiber, G Markovits ACM Transactions on Information Systems (TOIS) 30 (2), 1-35, 2012 | 160 | 2012 |
| Learning from the past: answering new questions with past answers A Shtok, G Dror, Y Maarek, I Szpektor Proceedings of the 21st international conference on World Wide Web, 759-768, 2012 | 152 | 2012 |
| Predicting query performance by query-drift estimation A Shtok, O Kurland, D Carmel Advances in Information Retrieval Theory: Second International Conference on …, 2009 | 100 | 2009 |
| Using statistical decision theory and relevance models for query-performance prediction A Shtok, O Kurland, D Carmel Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 81 | 2010 |
| Query performance prediction using reference lists A Shtok, O Kurland, D Carmel ACM Transactions on Information Systems (TOIS) 34 (4), 1-34, 2016 | 50 | 2016 |
| Information needs, queries, and query performance prediction O Zendel, A Shtok, F Raiber, O Kurland, JS Culpepper Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 46 | 2019 |
| Back to the roots: A probabilistic framework for query-performance prediction O Kurland, A Shtok, S Hummel, F Raiber, D Carmel, O Rom Proceedings of the 21st ACM international conference on Information and …, 2012 | 45 | 2012 |
| A unified framework for post-retrieval query-performance prediction O Kurland, A Shtok, D Carmel, S Hummel Advances in Information Retrieval Theory: Third International Conference …, 2011 | 41 | 2011 |
| Predicting query performance for fusion-based retrieval G Markovits, A Shtok, O Kurland, D Carmel Proceedings of the 21st ACM international conference on Information and …, 2012 | 27 | 2012 |
| Supporting human answers for advice-seeking questions in CQA sites L Braunstain, O Kurland, D Carmel, I Szpektor, A Shtok Advances in Information Retrieval: 38th European Conference on IR Research …, 2016 | 24 | 2016 |
| A probabilistic fusion framework Y Anava, A Shtok, O Kurland, E Rabinovich Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 21 | 2016 |
| New collection announcement: Focused retrieval over the web I Habernal, M Sukhareva, F Raiber, A Shtok, O Kurland, H Ronen, ... Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 21 | 2016 |
| Position-based contextualization for passage retrieval D Carmel, A Shtok, O Kurland Proceedings of the 22nd acm international conference on information …, 2013 | 21 | 2013 |
| A passage-based approach to learning to rank documents E Sheetrit, A Shtok, O Kurland Information Retrieval Journal 23, 159-186, 2020 | 17 | 2020 |
| Query-performance prediction and cluster ranking: Two sides of the same coin O Kurland, F Raiber, A Shtok Proceedings of the 21st ACM international conference on Information and …, 2012 | 14 | 2012 |
| Query-performance prediction using minimal relevance feedback O Butman, A Shtok, O Kurland, D Carmel Proceedings of the 2013 Conference on the Theory of Information Retrieval, 14-21, 2013 | 13 | 2013 |
| Utilizing focused relevance feedback E Brondwine, A Shtok, O Kurland Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 12 | 2016 |
| Clarity re-visited S Hummel, A Shtok, F Raiber, O Kurland, D Carmel Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 10 | 2012 |
| Testing the cluster hypothesis with focused and graded relevance judgments E Sheetrit, A Shtok, O Kurland, I Shprincis The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 7 | 2018 |
Oren KurlandTechnion在 ie.technion.ac.il 的电子邮件经过验证
