| A deep relevance matching model for ad-hoc retrieval J Guo, Y Fan, Q Ai, WB Croft Proceedings of the 25th ACM international on conference on information and …, 2016 | 692 | 2016 |
| Joint representation learning for top-n recommendation with heterogeneous information sources Y Zhang, Q Ai, X Chen, WB Croft Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 227 | 2017 |
| Towards conversational search and recommendation: System ask, user respond Y Zhang, X Chen, Q Ai, L Yang, WB Croft Proceedings of the 27th acm international conference on information and …, 2018 | 221 | 2018 |
| A deep look into neural ranking models for information retrieval J Guo, Y Fan, L Pang, L Yang, Q Ai, H Zamani, C Wu, WB Croft, X Cheng Information Processing & Management 57 (6), 102067, 2020 | 199 | 2020 |
| Learning heterogeneous knowledge base embeddings for explainable recommendation Q Ai, V Azizi, X Chen, Y Zhang Algorithms 11 (9), 137, 2018 | 187 | 2018 |
| anmm: Ranking short answer texts with attention-based neural matching model L Yang, Q Ai, J Guo, WB Croft Proceedings of the 25th ACM international on conference on information and …, 2016 | 184 | 2016 |
| Learning a deep listwise context model for ranking refinement Q Ai, K Bi, J Guo, WB Croft The 41st international ACM SIGIR conference on research & development in …, 2018 | 120 | 2018 |
| Unbiased learning to rank with unbiased propensity estimation Q Ai, K Bi, C Luo, J Guo, WB Croft The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 100 | 2018 |
| Personalized key frame recommendation X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin Proceedings of the 40th international ACM SIGIR conference on research and …, 2017 | 97 | 2017 |
| Learning a hierarchical embedding model for personalized product search Q Ai, Y Zhang, K Bi, X Chen, WB Croft Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 91 | 2017 |
| Analysis of the paragraph vector model for information retrieval Q Ai, L Yang, J Guo, WB Croft Proceedings of the 2016 ACM international conference on the theory of …, 2016 | 84 | 2016 |
| Semantic matching by non-linear word transportation for information retrieval J Guo, Y Fan, Q Ai, WB Croft Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 76 | 2016 |
| Beyond factoid QA: effective methods for non-factoid answer sentence retrieval L Yang, Q Ai, D Spina, RC Chen, L Pang, WB Croft, J Guo, F Scholer European Conference on Information Retrieval, 115-128, 2016 | 74 | 2016 |
| Learning groupwise multivariate scoring functions using deep neural networks Q Ai, X Wang, S Bruch, N Golbandi, M Bendersky, M Najork Proceedings of the 2019 ACM SIGIR international conference on theory of …, 2019 | 62* | 2019 |
| Learning over knowledge-base embeddings for recommendation Y Zhang, Q Ai, X Chen, P Wang arXiv preprint arXiv:1803.06540, 2018 | 58 | 2018 |
| Improving language estimation with the paragraph vector model for ad-hoc retrieval Q Ai, L Yang, J Guo, WB Croft Proceedings of the 39th international ACM SIGIR conference on research and …, 2016 | 50 | 2016 |
| Characterizing email search using large-scale behavioral logs and surveys Q Ai, ST Dumais, N Craswell, D Liebling Proceedings of the 26th International Conference on World Wide Web, 1511-1520, 2017 | 39 | 2017 |
| Conversational product search based on negative feedback K Bi, Q Ai, Y Zhang, WB Croft Proceedings of the 28th acm international conference on information and …, 2019 | 38 | 2019 |
| Setrank: Learning a permutation-invariant ranking model for information retrieval L Pang, J Xu, Q Ai, Y Lan, X Cheng, J Wen Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 34 | 2020 |
| A zero attention model for personalized product search Q Ai, DN Hill, SVN Vishwanathan, WB Croft Proceedings of the 28th ACM International Conference on Information and …, 2019 | 31 | 2019 |
W. Bruce CroftDistinguished Professor Emeritus, University of Massachusetts AmherstVerified email at cs.umass.edu
