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Fast Matrix Factorization with Non-Uniform Weights on Missing Data
v1v2 (latest)

Fast Matrix Factorization with Non-Uniform Weights on Missing Data

11 November 2018
Xiangnan He
Jinhui Tang
Xiaoyu Du
Richang Hong
Tongwei Ren
Tat-Seng Chua
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Rethinking Collaborative Metric Learning: Toward an Efficient
  Alternative without Negative Sampling
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
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
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
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
G3^33SR: 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
Deviance Matrix Factorization
Liang Wang
Luis Carvalho
45
8
0
12 Oct 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
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
Feature Weighted Non-negative Matrix Factorization
Mulin. Chen
Maoguo Gong
Xuelong Li
62
20
0
24 Mar 2021
Entropy Minimizing Matrix Factorization
Entropy Minimizing Matrix Factorization
Mulin. Chen
Xuelong Li
81
6
0
24 Mar 2021
Sampling-Decomposable Generative Adversarial Recommender
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
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
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
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
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
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