Qingyao Ai
Qingyao Ai
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Titolo
Citata da
Citata da
Anno
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
3872016
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
1282016
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
1152017
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
702017
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
672016
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
592016
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
572018
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
532017
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
532016
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
472018
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
462018
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
432018
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, 102067, 2019
422019
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
402016
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
332017
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
182017
Adaptability of neural networks on varying granularity ir tasks
D Cohen, Q Ai, WB Croft
arXiv preprint arXiv:1606.07565, 2016
172016
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
16*2019
Learning over knowledge-base embeddings for recommendation
Y Zhang, Q Ai, X Chen, P Wang
arXiv preprint arXiv:1803.06540, 2018
132018
An optimization framework for merging multiple result lists
CJ Lee, Q Ai, WB Croft, D Sheldon
Proceedings of the 24th ACM international on conference on information and …, 2015
132015
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