Probabilistic Metric Learning with Adaptive Margin for Top-K
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Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

13 January 2021

Ruiming Tang

Papers citing "Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation"

11 / 11 papers shown

Title
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System Bowei He Xu He Renrui Zhang Yingxue Zhang Ruiming Tang Chen-li Ma AI4TS 30 12 0 15 Aug 2023
Sequential Recommendation with Probabilistic Logical Reasoning Huanhuan Yuan Pengpeng Zhao Xuefeng Xian Guanfeng Liu Victor S. Sheng Lei Zhao NAI 18 5 0 22 Apr 2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation Ziwei Fan Zhiwei Liu Hao Peng Philip S Yu 29 15 0 28 Jan 2023
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation Haolun Wu Chen-li Ma Yingxue Zhang Xue Liu Ruiming Tang Mark J. Coates 37 7 0 02 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 86 35 0 24 Jul 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 18 34 0 22 Jun 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 19 86 0 18 Apr 2022
Sequential Recommendation via Stochastic Self-Attention Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 23 138 0 16 Jan 2022
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 24 283 0 27 Apr 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma Liheng Ma Yingxue Zhang Haolun Wu Xue Liu Mark J. Coates 41 33 0 13 Jan 2021