Qingyao Ai


2023

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Model-based Unbiased Learning to Rank
Dan Luo | Lixin Zou | Qingyao Ai | Zhiyu Chen | Dawei Yin | Brian D. Davison
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

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Marginal-Certainty-Aware Fair Ranking Algorithm
Tao Yang | Zhichao Xu | Zhenduo Wang | Anh Tran | Qingyao Ai
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

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Simulating and Modeling the Risk of Conversational Search
Zhenduo Wang | Qingyao Ai
2022 Volume 40 Issue 4

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Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search
Yixiao Ma | Qingyao Ai | Yueyue Wu | Yunqiu Shao | Yiqun Liu | Min Zhang | Shaoping Ma
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank
Tao Yang | Chen Luo | Hanqing Lu | Parth Gupta | Bing Yin | Qingyao Ai
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

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Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Yinqiong Cai | Jiafeng Guo | Yixing Fan | Qingyao Ai | Ruqing Zhang | Xueqi Cheng
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

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Unbiased Learning to Rank: Online or Offline?
Qingyao Ai | Tao Yang | Huazheng Wang | Jiaxin Mao
2021 Volume 39 Issue 2

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Beyond Probability Ranking Principle: Modeling the Dependencies among Documents
Liang Pang | Qingyao Ai | Jun Xu
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

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Session details: Session 1A - Ranking (1)
Qingyao Ai
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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Asking Clarifying Questions Based on Negative Feedback in Conversational Search
Keping Bi | Qingyao Ai | W. Bruce Croft
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation
Zhichao Xu | Hansi Zeng | Qingyao Ai
ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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Beyond Probability Ranking Principle: Modeling the Dependencies among Documents
Liang Pang | Qingyao Ai | Jun Xu
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
Keping Bi | Qingyao Ai | W. Bruce Croft
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Anh Tran | Tao Yang | Qingyao Ai
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
Qingyao Ai | Lakshmi Narayanan Ramasamy
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Controlling the Risk of Conversational Search via Reinforcement Learning
Zhenduo Wang | Qingyao Ai
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

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Maximizing Marginal Fairness for Dynamic Learning to Rank
Tao Yang | Qingyao Ai
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

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A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System
Hansi Zeng | Zhichao Xu | Qingyao Ai
Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I

2020

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Explainable Product Search with a Dynamic Relation Embedding Model
Qingyao Ai | Yongfeng Zhang | Keping Bi | W. Bruce Croft
2020 Volume 38 Issue 1

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A Deep Look into neural ranking models for information retrieval
Jiafeng Guo | Yixing Fan | Liang Pang | Liu Yang | Qingyao Ai | Hamed Zamani | Chen Wu | W. Bruce Croft | Xueqi Cheng
2020 Volume 57 Issue 6

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A Transformer-based Embedding Model for Personalized Product Search
Keping Bi | Qingyao Ai | W. Bruce Croft
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Liang Pang | Jun Xu | Qingyao Ai | Yanyan Lan | Xueqi Cheng | Jirong Wen
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang | Shikai Fang | Shibo Li | Yulan Wang | Qingyao Ai
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu | Yi Han | Yongfeng Zhang | Qingyao Ai
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

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Neural generative models and representation learning for information retrieval
Qingyao Ai
2019 Volume 53 Issue 2

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DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications
Yixing Fan | Qingyao Ai | Zhaochun Ren | Liangjie Hong | Dawei Yin | Jiafeng Guo
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

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Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks
Qingyao Ai | Xuanhui Wang | Sebastian Bruch | Nadav Golbandi | Michael Bendersky | Marc Najork
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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SIGIR 2019 Tutorial on Explainable Recommendation and Search
Yongfeng Zhang | Jiaxin Mao | Qingyao Ai
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

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Correcting for Recency Bias in Job Recommendation
Ruey-Cheng Chen | Qingyao Ai | Gaya Jayasinghe | W. Bruce Croft
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

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Improving Web Image Search with Contextual Information
Xiaohui Xie | Jiaxin Mao | Yiqun Liu | Maarten de Rijke | Qingyao Ai | Yufei Huang | Min Zhang | Shaoping Ma
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

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A Zero Attention Model for Personalized Product Search
Qingyao Ai | Daniel N. Hill | S. V. N. Vishwanathan | W. Bruce Croft
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

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Conversational Product Search Based on Negative Feedback
Keping Bi | Qingyao Ai | Yongfeng Zhang | W. Bruce Croft
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

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WWW'19 Tutorial on Explainable Recommendation and Search
Yongfeng Zhang | Jiaxin Mao | Qingyao Ai
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

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Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match
Keping Bi | Qingyao Ai | W. Bruce Croft
Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I

2018

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Unbiased Learning to Rank: Theory and Practice
Qingyao Ai | Jiaxin Mao | Yiqun Liu | W. Bruce Croft
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018

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Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai | Keping Bi | Cheng Luo | Jiafeng Guo | W. Bruce Croft
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

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Learning a Deep Listwise Context Model for Ranking Refinement
Qingyao Ai | Keping Bi | Jiafeng Guo | W. Bruce Croft
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

doi dblp
Unbiased Learning to Rank: Theory and Practice
Qingyao Ai | Jiaxin Mao | Yiqun Liu | W. Bruce Croft
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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Towards Conversational Search and Recommendation: System Ask, User Respond
Yongfeng Zhang | Xu Chen | Qingyao Ai | Liu Yang | W. Bruce Croft
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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A Neural Passage Model for Ad-hoc Document Retrieval
Qingyao Ai | Brendan O'Connor | W. Bruce Croft
Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings

2017

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Enhancing click models with mouse movement information
Zeyang Liu | Jiaxin Mao | Chao Wang | Qingyao Ai | Yiqun Liu | Jian-Yun Nie
2017 Volume 20 Issue 1

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UMass at TREC 2017 Common Core Track
Qingyao Ai | Hamed Zamani | Stephen M. Harding | Shahrzad Naseri | James Allan | W. Bruce Croft
Proceedings of The Twenty-Sixth Text REtrieval Conference, TREC 2017, Gaithersburg, Maryland, USA, November 15-17, 2017

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Learning a Hierarchical Embedding Model for Personalized Product Search
Qingyao Ai | Yongfeng Zhang | Keping Bi | Xu Chen | W. Bruce Croft
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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Personalized Key Frame Recommendation
Xu Chen | Yongfeng Zhang | Qingyao Ai | Hongteng Xu | Junchi Yan | Zheng Qin
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

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Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
Yongfeng Zhang | Qingyao Ai | Xu Chen | W. Bruce Croft
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

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Large-Scale Analysis of Email Search and Organizational Strategies
Kanika Narang | Susan T. Dumais | Nick Craswell | Daniel J. Liebling | Qingyao Ai
Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, CHIIR 2017, Oslo, Norway, March 7-11, 2017

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Characterizing Email Search using Large-scale Behavioral Logs and Surveys
Qingyao Ai | Susan T. Dumais | Nick Craswell | Daniel J. Liebling
Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017

2016

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Analysis of the Paragraph Vector Model for Information Retrieval
Qingyao Ai | Liu Yang | Jiafeng Guo | W. Bruce Croft
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016

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Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval
Qingyao Ai | Liu Yang | Jiafeng Guo | W. Bruce Croft
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016

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Semantic Matching by Non-Linear Word Transportation for Information Retrieval
Jiafeng Guo | Yixing Fan | Qingyao Ai | W. Bruce Croft
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

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aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model
Liu Yang | Qingyao Ai | Jiafeng Guo | W. Bruce Croft
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

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A Deep Relevance Matching Model for Ad-hoc Retrieval
Jiafeng Guo | Yixing Fan | Qingyao Ai | W. Bruce Croft
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016

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Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval
Liu Yang | Qingyao Ai | Damiano Spina | Ruey-Cheng Chen | Liang Pang | W. Bruce Croft | Jiafeng Guo | Falk Scholer
Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

2015

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An Optimization Framework for Merging Multiple Result Lists
Chia-Jung Lee | Qingyao Ai | W. Bruce Croft | Daniel Sheldon
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015