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[2308.13541] Adversarial Collaborative Filtering for Free
arXiv
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由 H Chen 著作2023被引用 6 次 — In this paper, we present Sharpness-aware Collaborative Filtering (SharpCF), a simple yet effective method that conducts adversarial training ...
Adversarial Collaborative Filtering for Free
arXiv
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arXiv
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由 H Chen 著作2023被引用 6 次 — In this paper, we present Sharpness-aware Collaborative Filtering. (SharpCF), a simple yet effective method that conducts adversarial training without extra ...
Adversarial Collaborative Filtering for Free - ACM Digital Library
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由 H Chen 著作2023被引用 6 次 — In this paper, we present Sharpness-aware Collaborative Filtering (SharpCF), a simple yet effective method that conducts adversarial training without extra ...
Understanding and Improving Adversarial Collaborative ...
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Adversarial Collaborative Filtering (ACF), which typically applies adversarial perturbations at user and item embeddings through adversarial training, ...
Adversarial Online Collaborative Filtering
Proceedings of Machine Learning Research
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Proceedings of Machine Learning Research
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由 S Pasteris 著作2024 — Abstract. We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an online ...
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Understanding and Improving Adversarial Collaborative ...
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2024年11月5日 — We theoretically analyze Adversarial Collaborative Filtering (ACF) and further propose a method to improve ACF for robust recommendations.
Collaborative Filtering
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Adversarial Collaborative Filtering (ACF), which typically applies adversarial perturbations at user and item embeddings through adversarial training, is ...
CF-MGAN: Collaborative filtering with metadata-aware ...
ResearchGate
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2024年10月22日 — Adversarial Collaborative Filtering for Free. Preprint. Full-text available. Aug 2023. Huiyuan Chen · Xiaoting Li · Vivian Lai · Hao Yang.
Collaborative filtering recommender system in adversarial ...
IEEE Xplore
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According to the profiles of user or items, a collaborative filtering recommender system recommends items to targeted customers according to the preferences of ...
Adversarial Online Collaborative Filtering
Proceedings of Machine Learning Research
https://proceedings.mlr.press › ...
Proceedings of Machine Learning Research
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由 S Pasteris 著作2024 — We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an ...
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