ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.05176
  4. Cited By
Latent Relational Metric Learning via Memory-based Attention for
  Collaborative Ranking
v1v2v3 (latest)

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

17 July 2017
Yi Tay
Anh Tuan Luu
S. Hui
ArXiv (abs)PDFHTML

Papers citing "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"

50 / 66 papers shown
Title
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Shengjia Zhang
Jiawei Chen
Changdong Li
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
25
0
0
18 Jun 2025
Multi-agents based User Values Mining for Recommendation
Multi-agents based User Values Mining for Recommendation
Lawrence Yunliang Chen
Wei Yuan
Tong Chen
Xiangyu Zhao
Nguyen Quoc Viet Hung
Hongzhi Yin
OffRL
131
0
0
02 May 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong
Yuan Fang
Hady W. Lauw
456
2
0
21 Jan 2025
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for
  Recommendation
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
Weiqin Yang
Jiawei Chen
Xin Xin
Sheng Zhou
Binbin Hu
Yan Feng
Chong Chen
Can Wang
133
2
0
31 Oct 2024
A Fashion Item Recommendation Model in Hyperbolic Space
A Fashion Item Recommendation Model in Hyperbolic Space
Ryotaro Shimizu
Yu Wang
Masanari Kimura
Yuki Hirakawa
Takashi Wada
Yuki Saito
Julian McAuley
61
3
0
04 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
143
6
0
02 Sep 2024
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Mingming Li
Fuqing Zhu
Feng Yuan
Songlin Hu
108
0
0
07 Jun 2024
Enriching User Shopping History: Empowering E-commerce with a
  Hierarchical Recommendation System
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
Irem Islek
Ş. Öğüdücü
33
0
0
15 Mar 2024
Improving One-class Recommendation with Multi-tasking on Various
  Preference Intensities
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
Chu-Jen Shao
Hao-Ming Fu
Pu-Jen Cheng
46
1
0
18 Jan 2024
Neuro-Symbolic Recommendation Model based on Logic Query
Neuro-Symbolic Recommendation Model based on Logic Query
Maonian Wu
Bang-Chao Chen
Shaojun Zhu
Bo Zheng
Wei Peng
Mingyi Zhang
NAI
104
3
0
14 Sep 2023
Interactive Graph Convolutional Filtering
Interactive Graph Convolutional Filtering
Jin Zhang
Defu Lian
Hong Xie
Yawen Li
Enhong Chen
67
0
0
04 Sep 2023
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for
  Recommendation Systems
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
Junting Wang
A. Krishnan
Hari Sundaram
Yunzhe Li
VLM
45
5
0
03 Sep 2023
Bridging Offline-Online Evaluation with a Time-dependent and Popularity
  Bias-free Offline Metric for Recommenders
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders
Petr Kasalický
Rodrigo Alves
Pavel Kordík
OffRL
48
0
0
14 Aug 2023
Attention Mixtures for Time-Aware Sequential Recommendation
Attention Mixtures for Time-Aware Sequential Recommendation
Viet-Anh Tran
Guillaume Salha-Galvan
Bruno Sguerra
Romain Hennequin
75
21
0
17 Apr 2023
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data
  Prediction
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
Cheng Liang
Teng Huang
Yi He
Song Deng
Di Wu
Xin Luo
46
0
0
20 Dec 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
80
45
0
17 Nov 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
77
9
0
30 Sep 2022
HICF: Hyperbolic Informative Collaborative Filtering
HICF: Hyperbolic Informative Collaborative Filtering
Menglin Yang
Zhihao Li
Min Zhou
Jiahong Liu
Irwin King
76
55
0
19 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu Wang
Yuying Zhao
Yi Zhang
Hanyu Wang
GNN
71
63
0
03 Jul 2022
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
66
14
0
23 Jun 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric
  Regularization
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
Menglin Yang
Min Zhou
Jiahong Liu
Defu Lian
Irwin King
85
91
0
18 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
IA-GCN: Interactive Graph Convolutional Network for Recommendation
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Jie He
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
GNN
62
6
0
08 Apr 2022
Consensus Learning from Heterogeneous Objectives for One-Class
  Collaborative Filtering
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
SeongKu Kang
Dongha Lee
Wonbin Kweon
Junyoung Hwang
Hwanjo Yu
59
12
0
26 Feb 2022
Sequential Recommendation via Stochastic Self-Attention
Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan
Zhiwei Liu
Alice Wang
Zahra Nazari
Lei Zheng
Hao Peng
Philip S. Yu
AI4TS
91
145
0
16 Jan 2022
ShufaNet: Classification method for calligraphers who have reached the
  professional level
ShufaNet: Classification method for calligraphers who have reached the professional level
Yunfei Ge
Changyu Diao
Min Li
Ruohan Yu
Linshan Qiu
Duanqing Xu
39
2
0
22 Nov 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory
  Augmented Transformer Network
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Bo Zhang
Liefeng Bo
MLAU
151
130
0
08 Oct 2021
Augmenting the User-Item Graph with Textual Similarity Models
Augmenting the User-Item Graph with Textual Similarity Models
F. López
Martin Scholz
Jessica Yung
Marie Pellat
Michael Strube
Lucas Dixon
42
5
0
20 Sep 2021
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a
  Siamese Neural Network with Adaptive Sample Pair Formation
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation
Kexin Feng
Theodora Chaspari
60
26
0
07 Sep 2021
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
77
102
0
17 Aug 2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
Hierarchical Latent Relation Modeling for Collaborative Metric Learning
Viet-Anh Tran
Guillaume Salha-Galvan
Romain Hennequin
Manuel Moussallam
59
10
0
26 Jul 2021
Modeling Sequences as Distributions with Uncertainty for Sequential
  Recommendation
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation
Ziwei Fan
Zhiwei Liu
Lei Zheng
Shen Wang
Philip S. Yu
89
51
0
11 Jun 2021
Where are we in embedding spaces? A Comprehensive Analysis on Network
  Embedding Approaches for Recommender Systems
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems
Sixiao Zhang
Hongxu Chen
Xiao Ming
Li-zhen Cui
Hongzhi Yin
Guandong Xu
71
40
0
19 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
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
162
299
0
27 Apr 2021
Dual Metric Learning for Effective and Efficient Cross-Domain
  Recommendations
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li
Alexander Tuzhilin
72
54
0
17 Apr 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K
  Recommendation
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma
Liheng Ma
Yingxue Zhang
Ruiming Tang
Xue Liu
Mark Coates
107
50
0
13 Jan 2021
Learning User Representations with Hypercuboids for Recommender Systems
Learning User Representations with Hypercuboids for Recommender Systems
Shuai Zhang
Huoyu Liu
Aston Zhang
Yue Hu
Ce Zhang
Yumeng Li
Tanchao Zhu
Shaojian He
Wenwu Ou
48
17
0
11 Nov 2020
Attentive Autoencoders for Multifaceted Preference Learning in One-class
  Collaborative Filtering
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering
Zheda Mai
Ga Wu
Kai Luo
Scott Sanner
33
2
0
24 Oct 2020
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
S. Rehman
M. Waqas
Shanshan Tu
Anis Koubaa
O. Rehman
Jawad Ahmad
Muhammad Hanif
Zhu Han
41
6
0
21 Jul 2020
Disentangled Graph Collaborative Filtering
Disentangled Graph Collaborative Filtering
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
Tat-Seng Chua
113
555
0
03 Jul 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
68
8
0
08 Apr 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
82
48
0
25 Mar 2020
Neural Attentive Multiview Machines
Neural Attentive Multiview Machines
Oren Barkan
Ori Katz
Noam Koenigstein
HAI
53
18
0
18 Feb 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
A Troubling Analysis of Reproducibility and Progress in Recommender
  Systems Research
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
85
199
0
18 Nov 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural
  Recommendation Approaches
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
57
591
0
16 Jul 2019
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
Collaborative Metric Learning with Memory Network for Multi-Relational
  Recommender Systems
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
Xiao Zhou
Danyang Liu
Jianxun Lian
Xing Xie
74
35
0
24 Jun 2019
Quaternion Collaborative Filtering for Recommendation
Quaternion Collaborative Filtering for Recommendation
Shuai Zhang
Lina Yao
Lucas Vinh Tran
Aston Zhang
Yi Tay
69
27
0
06 Jun 2019
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
Shuai Zhang
Yi Tay
Lina Yao
Bin Wu
Aixin Sun
VLM
43
23
0
25 May 2019
12
Next