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Collaborative Sequential Recommendations via Multi-view GNN-transformers
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Tianze Luo, Yong Liu, Sinno Jialin Pan
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42 |
6 |
1–27 |
2024 |
6.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework
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Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu
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42 |
6 |
1–30 |
2024 |
4.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Document-level Relation Extraction with Progressive Self-distillation
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Quan Wang, Zhendong Mao, Jie Gao, Yongdong Zhang
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42 |
6 |
1–34 |
2024 |
7.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Unsupervised Social Bot Detection via Structural Information Theory
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Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
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42 |
6 |
1–42 |
2024 |
6.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation
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Yanan Wang, Yong Ge, Zhepeng Li, Li Li, Rui Chen
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42 |
6 |
1–27 |
2024 |
8.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Unifying Graph Neural Networks with a Generalized Optimization Framework
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Chuan Shi, Meiqi Zhu, Yue Yu, Xiao Wang, Junping Du
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42 |
6 |
1–32 |
2024 |
6.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
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Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach, Lina Yao
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42 |
6 |
1–26 |
2024 |
6.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching
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Haitao Shi, Meng Liu, Xiaoxuan Mu, Xuemeng Song, Yupeng Hu, Liqiang Nie
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42 |
6 |
1–26 |
2024 |
5.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation
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Xingrui Zhuo, Shengsheng Qian, Jun Hu, Fuxin Dai, Kangyi Lin, Gongqing Wu
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42 |
6 |
1–28 |
2024 |
3.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model
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KE Sun, Chenliang Li, Tieyun Qian
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42 |
6 |
1–27 |
2024 |
5.0 |
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Average Rating: 0.0 / 5
(0 Reviews)
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