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Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation


Nov 11, 2022
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

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* 14 pages, 9 figures, 3 tables 

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Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation


Aug 05, 2022
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang

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* The self-attention mechanism should be contained in FBC and SRR is a part of CIE, but we does not do this in our previous code implementation, thus we redid the experiment and updated the experimental results, and tested the significance of the ablation experiment. Besides, we corrected some of the experimental details 

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Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation


Aug 05, 2022
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

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* 11 pages, 7 figures 

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Joint Multisided Exposure Fairness for Recommendation


Apr 29, 2022
Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu

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Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation


May 12, 2021
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

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* 11 pages 

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A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation


May 06, 2021
Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

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* 11 pages 

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Knowledge-Enhanced Top-K Recommendation in Poincaré Ball


Jan 29, 2021
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

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* Accepted by the 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 

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