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Jiawei Chen
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Bias and debias in recommender system: A survey and future directions
J Chen, H Dong, X Wang, F Feng, M Wang, X He
ACM Transactions on Information Systems 41 (3), 1-39, 2023
7052023
Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
T Wei, F Feng, J Chen, Z Wu, J Yi, X He
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
2542021
AutoDebias: Learning to debias for recommendation
J Chen, H Dong, Y Qiu, X He, X Xin, L Chen, G Lin, K Yang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
1472021
KuaiRec: A fully-observed dataset and insights for evaluating recommender systems
C Gao, S Li, W Lei, J Chen, B Li, P Jiang, X He, J Mao, TS Chua
Proceedings of the 31st ACM International Conference on Information …, 2022
99*2022
On the equivalence of decoupled graph convolution network and label propagation
H Dong, J Chen, F Feng, X He, S Bi, Z Ding, P Cui
Proceedings of the Web Conference 2021, 3651-3662, 2021
842021
A comprehensive survey on deep clustering: Taxonomy, challenges, and future directions
S Zhou, H Xu, Z Zheng, J Chen, J Bu, J Wu, X Wang, W Zhu, M Ester
arXiv preprint arXiv:2206.07579, 2022
822022
Popularity bias is not always evil: Disentangling benign and harmful bias for recommendation
Z Zhao, J Chen, S Zhou, X He, X Cao, F Zhang, W Wu
IEEE Transactions on Knowledge and Data Engineering 35 (10), 9920-9931, 2022
712022
Distilling holistic knowledge with graph neural networks
S Zhou, Y Wang, D Chen, J Chen, X Wang, C Wang, J Bu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
612021
Samwalker: Social recommendation with informative sampling strategy
J Chen, C Wang, S Zhou, Q Shi, Y Feng, C Chen
The World Wide Web Conference, 228-239, 2019
612019
CIRS: Bursting filter bubbles by counterfactual interactive recommender system
C Gao, S Wang, S Li, J Chen, X He, W Lei, B Li, Y Zhang, P Jiang
ACM Transactions on Information Systems 42 (1), 1-27, 2023
602023
Fast adaptively weighted matrix factorization for recommendation with implicit feedback
J Chen, C Wang, S Zhou, Q Shi, J Chen, Y Feng, C Chen
Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3470-3477, 2020
602020
DisenKGAT: knowledge graph embedding with disentangled graph attention network
J Wu, W Shi, X Cao, J Chen, W Lei, F Zhang, W Wu, X He
Proceedings of the 30th ACM international conference on information …, 2021
572021
Kuairand: an unbiased sequential recommendation dataset with randomly exposed videos
C Gao, S Li, Y Zhang, J Chen, B Li, W Lei, P Jiang, X He
Proceedings of the 31st ACM International Conference on Information …, 2022
522022
Information retrieval meets large language models: a strategic report from chinese ir community
Q Ai, T Bai, Z Cao, Y Chang, J Chen, Z Chen, Z Cheng, S Dong, Z Dou, ...
AI Open 4, 80-90, 2023
512023
On the effectiveness of sampled softmax loss for item recommendation
J Wu, X Wang, X Gao, J Chen, H Fu, T Qiu
ACM Transactions on Information Systems 42 (4), 1-26, 2024
462024
Time-aware path reasoning on knowledge graph for recommendation
Y Zhao, X Wang, J Chen, Y Wang, W Tang, X He, H Xie
ACM Transactions on Information Systems 41 (2), 1-26, 2022
442022
Modeling users' exposure with social knowledge influence and consumption influence for recommendation
J Chen, Y Feng, M Ester, S Zhou, C Chen, C Wang
Proceedings of the 27th ACM International Conference on Information and …, 2018
432018
HAHE: Hierarchical attentive heterogeneous information network embedding
S Zhou, J Bu, X Wang, J Chen, C Wang
arXiv preprint arXiv:1902.01475, 2019
412019
Adaptive influence blocking: Minimizing the negative spread by observation-based policies
Q Shi, C Wang, D Ye, J Chen, Y Feng, C Chen
2019 IEEE 35th international conference on data engineering (ICDE), 1502-1513, 2019
382019
Social recommendation based on users’ attention and preference
J Chen, C Wang, Q Shi, Y Feng, C Chen
Neurocomputing 341, 1-9, 2019
372019
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