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Learning to Rank Rationales for Explainable Recommendation



Zhichao Xu , Yi Han , Tao Yang , Anh Tran , Qingyao Ai


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Effective Exposure Amortizing for Fair Top-k Recommendation



Tao Yang , Zhichao Xu , Qingyao Ai

* 10 pages, 3 figures 

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Simulating and Modeling the Risk of Conversational Search



Zhenduo Wang , Qingyao Ai

* extension on https://dl.acm.org/doi/abs/10.1145/3442381.3449893 

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Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search



Qingyao Ai , Lakshmi Narayanan Ramasamy


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ULTRA: An Unbiased Learning To Rank Algorithm Toolbox



Anh Tran , Tao Yang , Qingyao Ai

* 10 pages, 6 figures, CIKM conference 

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Asking Clarifying Questions Based on Negative Feedback in Conversational Search



Keping Bi , Qingyao Ai , W. Bruce Croft

* In the proceedings of ICTIR'21 

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Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation



Zhichao Xu , Hansi Zeng , Qingyao Ai

* in proceedings of ICTIR 2021 

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A Neural Passage Model for Ad-hoc Document Retrieval



Qingyao Ai , Brendan O Connor , W. Bruce Croft


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