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Recommender Systems Based on Generative Adversarial Networks: A
  Problem-Driven Perspective
v1v2v3 (latest)

Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective

Information Sciences (Inf. Sci.), 2020
5 March 2020
Min Gao
Junwei Zhang
Junliang Yu
Jundong Li
Junhao Wen
Qingyu Xiong
ArXiv (abs)PDFHTML

Papers citing "Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective"

10 / 10 papers shown
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects
Zihan Hong
Yushi Wu
Zhiting Zhao
Shanshan Feng
Jianghong Ma
Jiao Liu
Tianjun Wei
3DV
199
1
0
20 Jun 2025
Hyperbolic Diffusion Recommender Model
Hyperbolic Diffusion Recommender ModelThe Web Conference (WWW), 2025
Meng Yuan
Yutian Xiao
Wei Chen
Chu Zhao
Deqing Wang
Fuzhen Zhuang
370
10
0
02 Apr 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
749
9
0
17 Jan 2025
Incorporating Classifier-Free Guidance in Diffusion Model-Based
  Recommendation
Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation
Noah Buchanan
Susan Gauch
Quan Mai
DiffMVLM
265
4
0
16 Sep 2024
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
Multi-Resolution Diffusion for Privacy-Sensitive Recommender SystemsIEEE Access (IEEE Access), 2023
Derek Lilienthal
Paul Mello
Magdalini Eirinaki
Stas Tiomkin
SyDaDiffM
609
10
0
06 Nov 2023
Diffusion Recommender Model
Diffusion Recommender ModelAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Wenjie Wang
Yiyan Xu
Fuli Feng
Xinyu Lin
Xiangnan He
Tat-Seng Chua
DiffM
351
260
0
11 Apr 2023
Creating Synthetic Datasets for Collaborative Filtering Recommender
  Systems using Generative Adversarial Networks
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial NetworksKnowledge-Based Systems (KBS), 2023
Jesús Bobadilla
Abraham Gutiérrez
Raciel Yera
L. Martínez
185
21
0
02 Mar 2023
Double-Scale Self-Supervised Hypergraph Learning for Group
  Recommendation
Double-Scale Self-Supervised Hypergraph Learning for Group RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2021
Junwei Zhang
Min Gao
Junliang Yu
Lei Guo
Jundong Li
Hongzhi Yin
243
157
0
09 Sep 2021
Deep Variational Models for Collaborative Filtering-based Recommender
  Systems
Deep Variational Models for Collaborative Filtering-based Recommender Systems
Jesús Bobadilla
Fernando Ortega
Abraham Gutiérrez
Ángel González-Prieto
DRL
237
15
0
27 Jul 2021
Ready for Emerging Threats to Recommender Systems? A Graph
  Convolution-based Generative Shilling Attack
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling AttackInformation Sciences (Inf. Sci.), 2021
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
209
47
0
22 Jul 2021
1
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