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Hypergraph Convolutional Network for User-Oriented ...
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由 Z Han 著作2024被引用 2 次 — In this paper, we propose a novel Hypergraph Convolutional Network for User-Oriented Fairness, namely HyperUOF, to address the aforementioned challenges.
Hypergraph Convolutional Network for User-Oriented ...
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In this paper, we propose a novel Hypergraph Convolutional Network for User-Oriented Fairness, namely HyperUOF, to address the aforementioned challenges.
Hypergraph Convolutional Network for User-Oriented ...
ResearchGate
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2024年7月14日 — Hypergraph. Conference Paper. Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. July 2024. DOI:10.1145 ...
Hypergraph Convolutional Network for User-Oriented ...
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A flexible framework for evaluating user and item fairness in recommender systems. User Modeling and User-Adapted Interaction (2021), 1--55. Yashar Deldjoo, ...
Hypergraph Convolutional Network for User-Oriented ... - CoLab
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2024年7月10日 — Create a profile to get free access to personal recommendations for colleagues and new articles. Login with ORCID. Publication data.
Zhongxuan Han - Google 学术搜索
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Hypergraph convolutional network for user-oriented fairness in recommender systems. Z Han, C Chen, X Zheng, L Zhang, Y Li. Proceedings of the 47th ...
Self-Supervised Multi-Channel Hypergraph Convolutional ...
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由 J Yu 著作2021被引用 476 次 — Self-Supervised Hypergraph Convolutional Networks for Session- based Recommendation ... A novel social network hybrid recommender system based on hypergraph ...
Chaochao Chen
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Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. SIGIR 2024. (CCF A). Jiajie Su, Chaochao Chen*, Weiming Liu, Zibin Lin ...
Hypergraph Convolutional Network for Group ...
Shirui Pan
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由 R Jia 著作被引用 51 次 — Recently, deep neural networks are applied to group recom- mender systems thanks to their high-quality recommendation, which provides an in-depth understanding ...
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Intra and Inter Domain HyperGraph Convolutional Network ...
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Nowadays, fairness has become an essential part of the machine learning community [3,12,29,39,46], and is also widely studied in Recommender Systems (RSs) [17].