Negative Sampling in Recommendation: A Survey and Future Directions

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Negative Sampling in Recommendation: A Survey and Future Directions

11 September 2024

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Papers citing "Negative Sampling in Recommendation: A Survey and Future Directions"

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FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets Kairui Fu Tao Zhang Shuwen Xiao Ziyang Wang X. Zhang ... Xiangheng Kong Shengyu Zhang Kun Kuang Yuning Jiang Bo Zheng 50 0 0 25 Sep 2025
On Negative-aware Preference Optimization for Recommendation Chenlu Ding Daoxuan Liu Jiancan Wu Xingyu Hu Junkang Wu Haitao Wang Yongkang Wang Xingxing Wang Xiang Wang 48 0 0 13 Aug 2025
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization Kun Zhou Haibo Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen 266 959 0 18 Aug 2020
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020 Kaveh Hassani Amir Hosein Khas Ahmadi SSL 556 1,512 0 10 Jun 2020