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Qingyao Ai
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Publications
- 2021
- [c40]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. ICTIR 2021: 157-166 - [c37]Keping Bi, Qingyao Ai, W. Bruce Croft:
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. SIGIR 2021: 123-132 - [i27]Qingyao Ai, Brendan O'Connor, W. Bruce Croft:
A Neural Passage Model for Ad-hoc Document Retrieval. CoRR abs/2103.09306 (2021) - [i25]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. CoRR abs/2107.05760 (2021) - 2020
- [j6]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai
, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020) - [j5]Qingyao Ai
Explainable Product Search with a Dynamic Relation Embedding Model. ACM Trans. Inf. Syst. 38(1): 4:1-4:29 (2020) - [c29]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. SIGIR 2020: 1521-1524 - [i22]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Review-based Transformer Model for Personalized Product Search. CoRR abs/2004.09424 (2020) - [i20]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. CoRR abs/2005.08936 (2020) - 2019
- [c28]Keping Bi, Qingyao Ai
Conversational Product Search Based on Negative Feedback. CIKM 2019: 359-368 - [c27]Qingyao Ai
A Zero Attention Model for Personalized Product Search. CIKM 2019: 379-388 - [c25]Ruey-Cheng Chen, Qingyao Ai
Correcting for Recency Bias in Job Recommendation. CIKM 2019: 2185-2188 - [c24]Keping Bi, Qingyao Ai
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. ECIR (1) 2019: 558-572 - [i15]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019) - [i14]Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft:
A Zero Attention Model for Personalized Product Search. CoRR abs/1908.11322 (2019) - [i13]Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. CoRR abs/1909.02071 (2019) - [i12]Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. CoRR abs/1909.07212 (2019) - 2018
- [c19]Yongfeng Zhang, Xu Chen, Qingyao Ai
Towards Conversational Search and Recommendation: System Ask, User Respond. CIKM 2018: 177-186 - [c18]Qingyao Ai
Unbiased Learning to Rank: Theory and Practice. CIKM 2018: 2305-2306 - [c17]Qingyao Ai
A Neural Passage Model for Ad-hoc Document Retrieval. ECIR 2018: 537-543 - [c16]Qingyao Ai
Unbiased Learning to Rank: Theory and Practice. ICTIR 2018: 1-2 - [c15]Qingyao Ai
Learning a Deep Listwise Context Model for Ranking Refinement. SIGIR 2018: 135-144 - [c14]Qingyao Ai
Unbiased Learning to Rank with Unbiased Propensity Estimation. SIGIR 2018: 385-394 - [i10]Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CoRR abs/1801.01641 (2018) - [i8]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. CoRR abs/1804.05936 (2018) - [i7]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. CoRR abs/1804.05938 (2018) - [i4]Keping Bi, Qingyao Ai, W. Bruce Croft:
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. CoRR abs/1812.05731 (2018) - [i3]Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match. CoRR abs/1812.08870 (2018) - 2017
- [c12]Yongfeng Zhang, Qingyao Ai
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. CIKM 2017: 1449-1458 - [c10]Qingyao Ai
Learning a Hierarchical Embedding Model for Personalized Product Search. SIGIR 2017: 645-654 - [c9]Qingyao Ai, Hamed Zamani, Stephen M. Harding, Shahrzad Naseri, James Allan, W. Bruce Croft:
UMass at TREC 2017 Common Core Track. TREC 2017 - [i2]Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/1711.08611 (2017) - 2016
- [c7]Jiafeng Guo, Yixing Fan, Qingyao Ai
A Deep Relevance Matching Model for Ad-hoc Retrieval. CIKM 2016: 55-64 - [c6]Liu Yang, Qingyao Ai
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CIKM 2016: 287-296 - [c5]Jiafeng Guo, Yixing Fan, Qingyao Ai
Semantic Matching by Non-Linear Word Transportation for Information Retrieval. CIKM 2016: 701-710 - [c4]Liu Yang, Qingyao Ai
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. ECIR 2016: 115-128 - [c3]Qingyao Ai
Analysis of the Paragraph Vector Model for Information Retrieval. ICTIR 2016: 133-142 - [c2]Qingyao Ai
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval. SIGIR 2016: 869-872 - [i1]Daniel Cohen, Qingyao Ai, W. Bruce Croft:
Adaptability of Neural Networks on Varying Granularity IR Tasks. CoRR abs/1606.07565 (2016) - 2015
- [c1]Chia-Jung Lee, Qingyao Ai
An Optimization Framework for Merging Multiple Result Lists. CIKM 2015: 303-312
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