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Sequential Recommendation with Causal Behavior Discovery


Apr 01, 2022
Zhenlei Wang , Xu Chen , Zhenhua Dong , Quanyu Dai , Ji-Rong Wen

* causal discovery for sequential recommendation 

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MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation


Mar 31, 2022
Quan Tu , Yanran Li , Jianwei Cui , Bin Wang , Ji-Rong Wen , Rui Yan

* 12 pages, 5 figures, accepted by ACL 2022 main conference 

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Leveraging Search History for Improving Person-Job Fit


Mar 27, 2022
Yupeng Hou , Xingyu Pan , Wayne Xin Zhao , Shuqing Bian , Yang Song , Tao Zhang , Ji-Rong Wen

* Accepted by DASFAA 2022 

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Neural Graph Matching for Pre-training Graph Neural Networks


Mar 03, 2022
Yupeng Hou , Binbin Hu , Wayne Xin Zhao , Zhiqiang Zhang , Jun Zhou , Ji-Rong Wen

* Accepted by SDM 2022 

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Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models


Mar 02, 2022
Ze-Feng Gao , Peiyu Liu , Wayne Xin Zhao , Zhong-Yi Lu , Ji-Rong Wen


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DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index


Mar 01, 2022
Yujia Zhou , Jing Yao , Zhicheng Dou , Ledell Wu , Ji-Rong Wen


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Filter-enhanced MLP is All You Need for Sequential Recommendation


Feb 28, 2022
Kun Zhou , Hui Yu , Wayne Xin Zhao , Ji-Rong Wen

* 12 pages, Accepted by WWW 2022 

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Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited


Feb 16, 2022
Mingguo He , Zhewei Wei , Ji-Rong Wen

* 16 pages 

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Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation


Feb 14, 2022
Xu Chen , Yongfeng Zhang , Ji-Rong Wen

* 9 pages, 2 tables, submitted to IJCAI 2022 Survey Track 

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A Model-Agnostic Causal Learning Framework for Recommendation using Search Data


Feb 10, 2022
Zihua Si , Xueran Han , Xiao Zhang , Jun Xu , Yue Yin , Yang Song , Ji-Rong Wen

* 9 pages, 7 figures, accepted by The Web Conference 2022 

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