Fast Matrix Factorization with Non-Uniform Weights on Missing Data

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Fast Matrix Factorization with Non-Uniform Weights on Missing Data

11 November 2018

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Papers citing "Fast Matrix Factorization with Non-Uniform Weights on Missing Data"

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Title
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling Shilong Bao Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 64 14 0 23 Jun 2022
Detect Professional Malicious User with Metric Learning in Recommender Systems Yuanbo Xu Yongjian Yang E. Wang Fuzhen Zhuang Hui Xiong 59 13 0 19 May 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 85 38 0 26 Apr 2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data Di Wu Peng Zhang Yi He Xin Luo 23 1 0 16 Apr 2022
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 72 14 0 12 Mar 2022
Deviance Matrix Factorization Liang Wang Luis Carvalho 45 8 0 12 Oct 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 68 0 0 11 May 2021
Feature Weighted Non-negative Matrix Factorization Mulin. Chen Maoguo Gong Xuelong Li 62 20 0 24 Mar 2021
Entropy Minimizing Matrix Factorization Mulin. Chen Xuelong Li 81 6 0 24 Mar 2021
Sampling-Decomposable Generative Adversarial Recommender Binbin Jin Defu Lian Zheng Liu Qi Liu Jianhui Ma Xing Xie Enhong Chen 66 40 0 02 Nov 2020
A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 84 112 0 10 Aug 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 211 3,728 0 06 Feb 2020
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering Xiaoyu Du Xiangnan He Fajie Yuan Jinhui Tang Zhiguang Qin Tat-Seng Chua HAI 40 26 0 26 Jun 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 86 188 0 25 Apr 2019