| 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 |
| 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 |
| 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 |
| Explainable product search with a dynamic relation embedding model Q Ai, Y Zhang, K Bi, WB Croft ACM Transactions on Information Systems (TOIS) 38 (1), 1-29, 2019 | 30 | 2019 |
| Extracting search-focused key n-grams for relevance ranking in web search C Wang, K Bi, Y Hu, H Li, G Cao Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 16 | 2012 |
| A transformer-based embedding model for personalized product search K Bi, Q Ai, WB Croft Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 15 | 2020 |
| Leverage implicit feedback for context-aware product search K Bi, CH Teo, Y Dattatreya, V Mohan, WB Croft arXiv preprint arXiv:1909.02065, 2019 | 10 | 2019 |
| Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search K Bi, Q Ai, WB Croft Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9* | 2021 |
| Aredsum: Adaptive redundancy-aware iterative sentence ranking for extractive document summarization K Bi, R Jha, WB Croft, A Celikyilmaz arXiv preprint arXiv:2004.06176, 2020 | 9 | 2020 |
| A Study of Context Dependencies in Multi-page Product Search K Bi, CH Teo, Y Dattatreya, V Mohan, WB Croft Proceedings of the 28th ACM International Conference on Information and …, 2019 | 8 | 2019 |
| Iterative relevance feedback for answer passage retrieval with passage-level semantic match K Bi, Q Ai, WB Croft European Conference on Information Retrieval, 558-572, 2019 | 6 | 2019 |
| Revisiting iterative relevance feedback for document and passage retrieval K Bi, Q Ai, WB Croft arXiv preprint arXiv:1812.05731, 2018 | 5 | 2018 |
| Asking Clarifying Questions Based on Negative Feedback in Conversational Search K Bi, Q Ai, WB Croft Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 2 | 2021 |
| Leveraging User Behavior History for Personalized Email Search K Bi, P Metrikov, C Li, B Byun Proceedings of the Web Conference 2021, 2858-2868, 2021 | 1 | 2021 |
| Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization R Jha, K Bi, Y Li, M Pakdaman, A Celikyilmaz, I Zhiboedov, K McDonald arXiv preprint arXiv:2005.02146, 2020 | 1 | 2020 |
| Neural Approaches to Feedback in Information Retrieval K Bi | | 2021 |
| Revisiting Phrase-Based Query Expansion with Word Embedding K Bi, B Croft | | |
W. Bruce CroftDistinguished Professor Emeritus, University of Massachusetts AmherstVerified email at cs.umass.edu
