Qingyao Ai
Qingyao Ai
Assistant Professor, School of Computing, University of Utah
E-mail confirmado em cs.utah.edu - Página inicial
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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
6032016
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
1902017
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
1672018
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
1592016
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
1372020
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
1222018
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
892017
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
862018
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
802018
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
802016
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
752017
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
732016
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
692016
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
452016
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
42*2019
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
362017
Learning over knowledge-base embeddings for recommendation
Y Zhang, Q Ai, X Chen, P Wang
arXiv preprint arXiv:1803.06540, 2018
352018
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
302019
Adaptability of neural networks on varying granularity ir tasks
D Cohen, Q Ai, WB Croft
arXiv preprint arXiv:1606.07565, 2016
262016
Large-scale analysis of email search and organizational strategies
K Narang, ST Dumais, N Craswell, D Liebling, Q Ai
Proceedings of the 2017 Conference on Conference Human Information …, 2017
202017
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