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A Survey of Latent Factor Models in Recommender Systems

A Survey of Latent Factor Models in Recommender Systems

28 May 2024
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
    LRM
    BDL
ArXivPDFHTML

Papers citing "A Survey of Latent Factor Models in Recommender Systems"

16 / 16 papers shown
Title
A Comprehensive Survey on Self-Supervised Learning for Recommendation
A Comprehensive Survey on Self-Supervised Learning for Recommendation
Xubin Ren
Wei Wei
Lianghao Xia
Chao Huang
SSL
70
12
0
04 Apr 2024
A Survey on Federated Recommendation Systems
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yang Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Yiheng Jiang
Li-zhen Cui
FedML
73
60
0
27 Dec 2022
Towards Universal Sequence Representation Learning for Recommender
  Systems
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou
Shanlei Mu
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
AI4TS
51
203
0
13 Jun 2022
Intent Contrastive Learning for Sequential Recommendation
Intent Contrastive Learning for Sequential Recommendation
Yong-Guang Chen
Zhiwei Liu
Jia Li
Julian McAuley
Caiming Xiong
63
295
0
05 Feb 2022
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation
Haoran Yang
Hongxu Chen
Lin Li
Philip S. Yu
Guandong Xu
47
44
0
07 Sep 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
117
1,202
0
04 Nov 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
93
636
0
02 Oct 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
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
83
804
0
18 Aug 2020
Disentangled Graph Collaborative Filtering
Disentangled Graph Collaborative Filtering
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
Tat-Seng Chua
67
539
0
03 Jul 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph
  Convolutional Network Approach
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu
Yonghui Yang
Kun Zhang
Richang Hong
Yanjie Fu
Meng Wang
GNN
28
102
0
25 May 2020
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
157
4,395
0
07 Nov 2019
Federated Machine Learning: Concept and Applications
Federated Machine Learning: Concept and Applications
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
54
2,302
0
13 Feb 2019
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
94
1,253
0
07 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
89
2,625
0
13 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
447
28,901
0
09 Sep 2016
Information-theoretic lower bounds on the oracle complexity of
  stochastic convex optimization
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
120
248
0
03 Sep 2010
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