Recommender Systems with Generative Models

The table serves as an overview and extension of the works discussed in the following book and survey.

@misc{deldjoo2024recommendation,
  title={Recommendation with Generative Models},
  author={Deldjoo, Yashar and He, Zhankui and McAuley, Julian and Korikov, Anton and Sanner, Scott and Ramisa, Arnau and Vidal, Ren{\'e} and Sathiamoorthy, Maheswaran and Kasirzadeh, Atoosa and Milano, Silvia and others},
  journal={Foundations and Trends{\textregistered} in Information Retrieval},
  year={2024}
}

@inproceedings{deldjoo2024review,
  title={A review of modern recommender systems using generative models (gen-recsys)},
  author={Deldjoo, Yashar and He, Zhankui and McAuley, Julian and Korikov, Anton and Sanner, Scott and Ramisa, Arnau and Vidal, Ren{\'e} and Sathiamoorthy, Maheswaran and Kasirzadeh, Atoosa and Milano, Silvia},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={6448--6458},
  year={2024}
}

title	authors	year	venue	keyword	doi
Prompt Distillation for Efficient LLM-based Recommendation.	Lei Li 0042, Yongfeng Zhang, Li Chen 0009	2023	CIKM	LLM recommend	Link
LLM4Vis: Explainable Visualization Recommendation using ChatGPT.	Lei Wang 0185, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang 0021	2023	EMNLP	LLM recommend
Potentials of Combining Local Knowledge and LLMs for Recommender Systems.	Thomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt	2023	KaRS@RecSys	LLM recommend
LLM Based Generation of Item-Description for Recommendation System.	Arkadeep Acharya, Brijraj Singh, Naoyuki Onoe	2023	RecSys	LLM recommend	Link
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.	Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin	2023	RecSys	LLM recommend	Link
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System.	Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang 0001	2023	CoRR	LLM recommend	Link
A First Look at LLM-Powered Generative News Recommendation.	Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu 0003	2023	CoRR	LLM recommend	Link
PALR: Personalization Aware LLMs for Recommendation.	Zheng Chen	2023	CoRR	LLM recommend	Link
Recommender Systems in the Era of Large Language Models (LLMs).	Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang 0001, Jiliang Tang, Qing Li 0001	2023	CoRR	LLM recommend	Link
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.	Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song 0021, Hengshu Zhu, Jie Zhang	2023	CoRR	LLM recommend	Link
LLM-Rec: Personalized Recommendation via Prompting Large Language Models.	Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo	2023	CoRR	LLM recommend	Link
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.	Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin 0001	2023	CoRR	LLM recommend	Link
LKPNR: LLM and KG for Personalized News Recommendation Framework.	Hao Chen, Runfeng Xie, Xiangyang Cui, Zhou Yan, Xin Wang, Zhanwei Xuan, Kai Zhang	2023	CoRR	LLM recommend	Link
LLMRec: Benchmarking Large Language Models on Recommendation Task.	Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu	2023	CoRR	LLM recommend	Link
JobRecoGPT - Explainable job recommendations using LLMs.	Preetam Ghosh, Vaishali Sadaphal	2023	CoRR	LLM recommend	Link
LLM4Vis: Explainable Visualization Recommendation using ChatGPT.	Lei Wang 0185, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang 0021	2023	CoRR	LLM recommend	Link
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.	Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li 0001, Xiao-Ming Wu, Ke Tang 0001	2023	CoRR	LLM recommend	Link
LLMRec: Large Language Models with Graph Augmentation for Recommendation.	Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang	2023	CoRR	LLM recommend	Link
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.	Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu	2023	CoRR	LLM recommend	Link
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.	Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua	2023	CoRR	LLM recommend	Link
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation.	Yu Wang, Zhiwei Liu, Jianguo Zhang 0005, Weiran Yao, Shelby Heinecke, Philip S. Yu	2023	CoRR	LLM recommend	Link
AsyncMLD: Asynchronous Multi-LLM Framework for Dialogue Recommendation System.	Naoki Yoshimaru, Motoharu Okuma, Takamasa Iio, Kenji Hatano	2023	CoRR	LLM recommend	Link
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.	Behnam Rahdari, Hao Ding 0003, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton	2023	CoRR	LLM recommend	Link
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase.	Angela John, Theophilus Aidoo, Hamayoon Behmanush, Irem B. Gunduz, Hewan Shrestha, Maxx Richard Rahman, Wolfgang Maaß 0002	2024	CoRR	LLM recommend	Link
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.	Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren 0001	2024	CoRR	LLM recommend	Link
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring.	Hasan Abu-Rasheed, Mohamad Hussam Abdulsalam, Christian Weber 0003, Madjid Fathi	2024	CoRR	LLM recommend	Link
Data-efficient Fine-tuning for LLM-based Recommendation.	Xinyu Lin, Wenjie Wang, Yongqi Li 0001, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua	2024	CoRR	LLM recommend	Link
Improving Sequential Recommendations with LLMs.	Artun Boz, Wouter Zorgdrager, Zoe Kotti, Jesse Harte, Panos Louridas, Dietmar Jannach, Marios Fragkoulis	2024	CoRR	LLM recommend	Link
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.	Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang	2021	CoRR	large language model recommend
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.	Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie 0001	2022	KDD	large language model recommend	Link
Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models.	Dario Di Palma	2023	RecSys	large language model recommend	Link
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.	Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon	2023	RecSys	large language model recommend	Link
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.	Jizhi Zhang, Keqin Bao, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	RecSys	large language model recommend	Link
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.	Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen	2023	CoRR	large language model recommend	Link
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.	Jizhi Zhang, Keqin Bao, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	CoRR	large language model recommend	Link
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations.	Qingyu Chen 0001, Jingcheng Du, Yan Hu, Vipina Kuttichi Keloth, Xueqing Peng, Kalpana Raja, Rui Zhang, Zhiyong Lu, Hua Xu 0001	2023	CoRR	large language model recommend	Link
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.	Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon	2023	CoRR	large language model recommend	Link
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.	Xu Huang 0008, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie 0001	2023	CoRR	large language model recommend	Link
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.	Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou 0011, Chenliang Li	2023	CoRR	large language model recommend	Link
Modeling User Viewing Flow using Large Language Models for Article Recommendation.	Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu 0002, Ge Yu 0001	2023	CoRR	large language model recommend	Link
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.	Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang 0008, Defu Lian, Xing Xie 0001	2023	CoRR	large language model recommend	Link
Koya: A Recommender System for Large Language Model Selection.	Abraham Toluwase Owodunni, Chris Chinenye Emezue	2023	AfricaNLP	large language model recommend
Large Language Models as Zero-Shot Conversational Recommenders.	Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley	2023	CIKM	large language model recommend	Link
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA.	Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter	2023	EAAMO	large language model recommend	Link
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue.	Yuanxing Liu 0001, Weinan Zhang 0003, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che	2023	EMNLP	large language model recommend
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models.	Xiaolei Wang, Xinyu Tang, Xin Zhao 0018, Jingyuan Wang, Ji-Rong Wen	2023	EMNLP	large language model recommend
Leveraging Large Language Models for Goal-driven Interactive Recommendations.	Alan Said, Martijn C. Willemsen, Leandro Balby Marinho, Itallo Silva	2023	HAI	large language model recommend	Link
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.	Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann 0001, Xuchao Zhang, Saravan Rajmohan	2023	ICSE	large language model recommend	Link
Plan, Generate and Match: Scientific Workflow Recommendation with Large Language Models.	Yang Gu, Jian Cao 0001, Yuan Guo, Shiyou Qian, Wei Guan	2023	ICSOC	large language model recommend	Link
Leveraging Large Language Models for Recommendation and Explanation.	Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn C. Willemsen	2023	IntRS@RecSys	large language model recommend
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.	Keqin Bao, Jizhi Zhang, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	RecSys	large language model recommend	Link
Leveraging Large Language Models for Sequential Recommendation.	Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis	2023	RecSys	large language model recommend	Link
Tutorial on Large Language Models for Recommendation.	Wenyue Hua, Lei Li 0042, Shuyuan Xu, Li Chen 0009, Yongfeng Zhang	2023	RecSys	large language model recommend	Link
Large Language Model Augmented Narrative Driven Recommendations.	Sheshera Mysore, Andrew McCallum, Hamed Zamani	2023	RecSys	large language model recommend	Link
User-Centric Conversational Recommendation: Adapting the Need of User with Large Language Models.	Gangyi Zhang	2023	RecSys	large language model recommend	Link
Large Language Models for Recommendation: Progresses and Future Directions.	Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He 0001	2023	SIGIR-AP	large language model recommend	Link
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.	Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann 0001, Xuchao Zhang, Saravan Rajmohan	2023	CoRR	large language model recommend	Link
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models.	Lei Wang 0185, Ee-Peng Lim	2023	CoRR	large language model recommend	Link
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.	Keqin Bao, Jizhi Zhang, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	CoRR	large language model recommend	Link
Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.	Aldo Gael Carranza, Rezsa Farahani, Natalia Ponomareva, Alex Kurakin, Matthew Jagielski, Milad Nasr	2023	CoRR	large language model recommend	Link
Leveraging Large Language Models in Conversational Recommender Systems.	Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari	2023	CoRR	large language model recommend	Link
Large Language Models are Zero-Shot Rankers for Recommender Systems.	Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao	2023	CoRR	large language model recommend	Link
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models.	Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen	2023	CoRR	large language model recommend	Link
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model.	Aakas Zhiyuli, Yanfang Chen, Xuan Zhang 0009, Xun Liang 0001	2023	CoRR	large language model recommend	Link
A Survey on Large Language Models for Recommendation.	Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang 0076, Hongchao Gu, Tingjia Shen, Chuan Qin 0002, Chen Zhu, Hengshu Zhu, Qi Liu 0003, Hui Xiong 0001, Enhong Chen	2023	CoRR	large language model recommend	Link
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations.	Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen	2023	CoRR	large language model recommend	Link
Large Language Model Augmented Narrative Driven Recommendations.	Sheshera Mysore, Andrew McCallum, Hamed Zamani	2023	CoRR	large language model recommend	Link
How Can Recommender Systems Benefit from Large Language Models: A Survey.	Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen 0023, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu 0001, Ruiming Tang, Weinan Zhang 0001	2023	CoRR	large language model recommend	Link
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.	Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Rui Zhang 0003, Yong Yu 0001	2023	CoRR	large language model recommend	Link
GenRec: Large Language Model for Generative Recommendation.	Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang	2023	CoRR	large language model recommend	Link
Recommender Systems in the Era of Large Language Models (LLMs).	Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang 0001, Jiliang Tang, Qing Li 0001	2023	CoRR	large language model recommend	Link
Generative Job Recommendations with Large Language Model.	Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong 0001	2023	CoRR	large language model recommend	Link
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.	Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen	2023	CoRR	large language model recommend	Link
LLM-Rec: Personalized Recommendation via Prompting Large Language Models.	Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo	2023	CoRR	large language model recommend	Link
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations.	Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter	2023	CoRR	large language model recommend	Link
A Large Language Model Enhanced Conversational Recommender System.	Yue Feng, Shuchang Liu 0006, Zhenghai Xue, Qingpeng Cai 0001, Lantao Hu, Peng Jiang 0002, Kun Gai, Fei Sun	2023	CoRR	large language model recommend	Link
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.	Keqin Bao, Jizhi Zhang, Wenjie Wang 0007, Yang Zhang 0072, Zhengyi Yang 0007, Yancheng Luo, Fuli Feng, Xiangnan He 0001, Qi Tian 0001	2023	CoRR	large language model recommend	Link
RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models.	Yubo Shu, Hansu Gu, Peng Zhang 0060, Haonan Zhang, Tun Lu, Dongsheng Li, Ning Gu	2023	CoRR	large language model recommend	Link
Large Language Models as Zero-Shot Conversational Recommenders.	Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley	2023	CoRR	large language model recommend	Link
Enhancing Recommender Systems with Large Language Model Reasoning Graphs.	Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou 0011, Sheng Li 0001	2023	CoRR	large language model recommend	Link
Leveraging Large Language Models for Pre-trained Recommender Systems.	Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li 0001	2023	CoRR	large language model recommend	Link
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.	Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen 0023, Shigang Quan, Ruiming Tang, Yong Yu 0001, Weinan Zhang 0001	2023	CoRR	large language model recommend	Link
LLMRec: Benchmarking Large Language Models on Recommendation Task.	Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu	2023	CoRR	large language model recommend	Link
RecMind: Large Language Model Powered Agent For Recommendation.	Yancheng Wang, Ziyan Jiang, Zheng Chen 0010, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang	2023	CoRR	large language model recommend	Link
Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging.	Rachel M. Harrison, Anton Dereventsov, Anton Bibin	2023	CoRR	large language model recommend	Link
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.	Lei Li 0042, Yongfeng Zhang, Dugang Liu, Li Chen 0009	2023	CoRR	large language model recommend	Link
Leveraging Large Language Models for Sequential Recommendation.	Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis	2023	CoRR	large language model recommend	Link
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.	Bo Peng 0009, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy 0001, Xia Ning	2023	CoRR	large language model recommend	Link
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.	Xinyu Lin, Wenjie Wang, Yongqi Li 0001, Fuli Feng, See-Kiong Ng, Tat-Seng Chua	2023	CoRR	large language model recommend	Link
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.	Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li 0001, Xiao-Ming Wu, Ke Tang 0001	2023	CoRR	large language model recommend	Link
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue.	Yuanxing Liu 0001, Wei-Nan Zhang 0003, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che	2023	CoRR	large language model recommend	Link
Representation Learning with Large Language Models for Recommendation.	Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang 0001	2023	CoRR	large language model recommend	Link
Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model.	Dui Wang, Xiangyu Hou, Xiaohui Yang, Bo Zhang, Renbing Chen, Daiyue Xue	2023	CoRR	large language model recommend	Link
A Multimodal Ecological Civilization Pattern Recommendation Method Based on Large Language Models and Knowledge Graph.	Zhihang Yu, Shu Wang, Yunqiang Zhu, Zhiqiang Zou	2023	CoRR	large language model recommend	Link
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.	Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He 0001	2023	CoRR	large language model recommend	Link
Large Language Model Can Interpret Latent Space of Sequential Recommender.	Zhengyi Yang 0007, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang 0003, Xiang Wang 0010, Xiangnan He 0001	2023	CoRR	large language model recommend	Link
LLMRec: Large Language Models with Graph Augmentation for Recommendation.	Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang	2023	CoRR	large language model recommend	Link
Collaborative Large Language Model for Recommender Systems.	Yaochen Zhu, Liang Wu 0006, Qi Guo, Liangjie Hong, Jundong Li	2023	CoRR	large language model recommend	Link
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.	Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge	2023	CoRR	large language model recommend	Link
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation.	Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen	2023	CoRR	large language model recommend	Link
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.	Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie 0001	2023	CoRR	large language model recommend	Link
A Survey on Large Language Models for Personalized and Explainable Recommendations.	Junyi Chen	2023	CoRR	large language model recommend	Link
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.	Xinhang Li, Chong Chen, Xiangyu Zhao 0001, Yong Zhang, Chunxiao Xing	2023	CoRR	large language model recommend	Link
LLaRA: Aligning Large Language Models with Sequential Recommenders.	Jiayi Liao, Sihang Li, Zhengyi Yang 0007, Jiancan Wu, Yancheng Yuan, Xiang Wang	2023	CoRR	large language model recommend	Link
Large Language Models for Intent-Driven Session Recommendations.	Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong	2023	CoRR	large language model recommend	Link
RecPrompt: A Prompt Tuning Framework for News Recommendation Using Large Language Models.	Dairui Liu, Boming Yang, Honghui Du, Derek Greene, Aonghus Lawlor, Ruihai Dong, Irene Li	2023	CoRR	large language model recommend	Link
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models.	Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang 0006, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang	2023	CoRR	large language model recommend	Link
Empowering Few-Shot Recommender Systems with Large Language Models - Enhanced Representations.	Zhoumeng Wang	2023	CoRR	large language model recommend	Link
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.	Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen 0002, Fuli Feng, Xiangnan He 0001, Qi Tian 0001	2023	CoRR	large language model recommend	Link
Unlocking the Potential of Large Language Models for Explainable Recommendations.	Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen	2023	CoRR	large language model recommend	Link
Large Language Models are Not Stable Recommender Systems.	Tianhui Ma, Yuan Cheng, Hengshu Zhu, Hui Xiong 0001	2023	CoRR	large language model recommend	Link
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.	Sichun Luo, Bowei He, Haohan Zhao, Yinya Huang, Aojun Zhou, Zongpeng Li, Yuanzhang Xiao, Mingjie Zhan, Linqi Song	2023	CoRR	large language model recommend	Link
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models.	Fan Liu, Yaqi Liu, Zhiyong Cheng 0001, Liqiang Nie, Mohan S. Kankanhalli	2023	CoRR	large language model recommend	Link
Large Language Model Distilling Medication Recommendation Model.	Qidong Liu, Xian Wu, Xiangyu Zhao 0001, Yuanshao Zhu, Zijian Zhang, Feng Tian 0002, Yefeng Zheng 0001	2024	CoRR	large language model recommend	Link
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems.	Chandan Kumar Sah, Xiaoli Lian, Muhammad Mirajul Islam	2024	CoRR	large language model recommend	Link
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis.	Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen	2024	CoRR	large language model recommend	Link
Enhancing Recommendation Diversity by Re-ranking with Large Language Models.	Diego Carraro, Derek Bridge 0001	2024	CoRR	large language model recommend	Link
Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation.	Sichun Luo, Yuxuan Yao, Bowei He, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Mingjie Zhan, Linqi Song	2024	CoRR	large language model recommend	Link
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.	Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun 0001, Huawei Shen, Xueqi Cheng	2024	CoRR	large language model recommend	Link
From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models.	Jung-Mei Chu, Hao-Cheng Lo, Jieh Hsiang, Chun-Chieh Cho	2024	CoRR	large language model recommend	Link
Uncertainty-Aware Explainable Recommendation with Large Language Models.	Yicui Peng, Hao Chen, Chingsheng Lin, Guo Huang, Jinrong Hu, Hui Guo, Bin Kong, Shu Hu, Xi Wu, Xin Wang	2024	CoRR	large language model recommend	Link
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.	Jizhi Zhang, Keqin Bao, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	RecSys	ChatGPT recommend	Link
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.	Jizhi Zhang, Keqin Bao, Yang Zhang 0072, Wenjie Wang 0007, Fuli Feng, Xiangnan He 0001	2023	CoRR	ChatGPT recommend	Link
Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT.	Guo Lin, Yongfeng Zhang	2023	Algorithms	ChatGPT recommend	Link
Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports' Case.	Jiaming Zhou, Tengyue Li, Simon James Fong, Nilanjan Dey, Rubén González Crespo	2023	Int. J. Interact. Multim. Artif. Intell.	ChatGPT recommend	Link
Using ChatGPT and Persuasive Technology for Personalized Recommendation Messages in Hotel Upselling.	Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras	2023	Inf.	ChatGPT recommend	Link
Recommendations to Create Programming Exercises to Overcome ChatGPT.	Jonnathan Berrezueta-Guzman, Stephan Krusche	2023	CSEE&T	ChatGPT recommend	Link
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA.	Abel Salinas, Parth Vipul Shah, Yuzhong Huang, Robert McCormack, Fred Morstatter	2023	EAAMO	ChatGPT recommend	Link
LLM4Vis: Explainable Visualization Recommendation using ChatGPT.	Lei Wang 0185, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang 0021	2023	EMNLP	ChatGPT recommend
Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation.	Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik	2023	ICWE Workshops	ChatGPT recommend	Link
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News.	Xinyi Li, Yongfeng Zhang, Edward C. Malthouse	2023	INRA@RecSys	ChatGPT recommend
Uncovering ChatGPT's Capabilities in Recommender Systems.	Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu 0010, Zhongxiang Sun, Xiao Zhang 0034, Jun Xu 0001	2023	RecSys	ChatGPT recommend	Link
Assessing the Readability of ChatGPT Code Snippet Recommendations: A Comparative Study.	Carlos Eduardo de Carvalho Dantas, Adriano M. Rocha, Marcelo de Almeida Maia	2023	SBES	ChatGPT recommend	Link
Is ChatGPT a Good Recommender? A Preliminary Study.	Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, Yan Zhang	2023	CoRR	ChatGPT recommend	Link
Uncovering ChatGPT's Capabilities in Recommender Systems.	Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang 0034, Jun Xu 0001	2023	CoRR	ChatGPT recommend	Link
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT.	Guo Lin, Yongfeng Zhang	2023	CoRR	ChatGPT recommend	Link
Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations.	Attia Qammar, Hongmei Wang, Jianguo Ding, Abdenacer Naouri, Mahmoud Daneshmand, Huansheng Ning	2023	CoRR	ChatGPT recommend	Link
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News.	Xinyi Li, Yongfeng Zhang, Edward C. Malthouse	2023	CoRR	ChatGPT recommend	Link
ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality.	Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis, George E. Tsekouras	2023	CoRR	ChatGPT recommend	Link
Evaluating ChatGPT as a Recommender System: A Rigorous Approach.	Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Eugenio Di Sciascio	2023	CoRR	ChatGPT recommend	Link
LLM4Vis: Explainable Visualization Recommendation using ChatGPT.	Lei Wang 0185, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang 0021	2023	CoRR	ChatGPT recommend	Link
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations.	Lixiang Yan, Vanessa Echeverría, Gloria Fernández-Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gasevic, Roberto Martínez-Maldonado	2023	CoRR	ChatGPT recommend	Link
Exploring Fine-tuning ChatGPT for News Recommendation.	Xinyi Li, Yongfeng Zhang, Edward C. Malthouse	2023	CoRR	ChatGPT recommend	Link
ChatGPT for Conversational Recommendation: Refining Recommendations by Reprompting with Feedback.	Kyle Dylan Spurlock, Cagla Acun, Esin Saka, Olfa Nasraoui	2024	CoRR	ChatGPT recommend	Link
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency.	Yashar Deldjoo	2024	CoRR	ChatGPT recommend	Link
Dissecting Bias of ChatGPT in College Major Recommendations.	Alex Zheng	2024	CoRR	ChatGPT recommend	Link
Agent for Recommending Information Relevant to Web-based Discussion by Generating Query Terms using GPT-3.	Ryosuke Kinoshita, Shun Shiramatsu	2022	ICA	GPT recommend	Link
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.	Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni	2023	eCom@SIGIR	GPT recommend
Evaluating Bert and GPT-2 Models for Personalised Linkedin Post Recommendation.	Prerna Singh, Bhawna Jain, Kirti Sinha	2023	ICCCNT	GPT recommend	Link
GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram.	Oleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov	2023	KaRS@RecSys	GPT recommend
Are GPT Embeddings Useful for Ads and Recommendation?	Wenjun Peng, Derong Xu, Tong Xu 0001, Jianjin Zhang, Enhong Chen	2023	KSEM	GPT recommend	Link
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.	Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni	2023	CoRR	GPT recommend	Link
Generative Sequential Recommendation with GPTRec.	Aleksandr V. Petrov, Craig Macdonald	2023	CoRR	GPT recommend	Link
GPT as a Baseline for Recommendation Explanation Texts.	Joyce Zhou, Thorsten Joachims	2023	CoRR	GPT recommend	Link
Extracting user needs with Chat-GPT for dialogue recommendation.	Yugen Sato, Taisei Nakajima, Tatsuki Kawamoto, Tomohiro Takagi	2023	CoRR	GPT recommend	Link
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.	Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim	2023	CoRR	GPT recommend	Link
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding.	Zheng Chen, Ziyan Jiang, Fan Yang, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Aram Galstyan	2023	EMNLP	LLM collaborative filtering
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding.	Zheng Chen 0010, Ziyan Jiang, Fan Yang	2023	CoRR	LLM collaborative filtering	Link
COM: a generative model for group recommendation.	Quan Yuan 0001, Gao Cong, Chin-Yew Lin	2014	KDD	Generative recommend	Link
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships.	Gianni Costa, Giuseppe Manco 0001, Riccardo Ortale	2014	ECML/PKDD	Generative recommend	Link
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.	Weiqing Wang 0001, Hongzhi Yin, Ling Chen 0006, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou 0001	2015	KDD	Generative recommend	Link
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation.	Weiqing Wang 0001, Hongzhi Yin, Ling Chen 0006, Yizhou Sun, Shazia W. Sadiq, Xiaofang Zhou 0001	2015	CoRR	Generative recommend
Multi-Word Generative Query Recommendation Using Topic Modeling.	Matthew Mitsui, Chirag Shah	2016	RecSys	Generative recommend	Link
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation.	Weiqing Wang 0001, Hongzhi Yin, Ling Chen 0006, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou 0001	2017	ACM Trans. Intell. Syst. Technol.	Generative recommend	Link
A Generative Framework to Query Recommendation and Evaluation.	Matthew Ryan Mitsui	2017	CHIIR	Generative recommend	Link
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.	Hongzhi Yin, Liang Chen, Weiqing Wang 0001, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou 0001	2017	ICDE	Generative recommend	Link
Visually-Aware Fashion Recommendation and Design with Generative Image Models.	Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley	2017	ICDM	Generative recommend	Link
SoGeM: Social Based Generative Model for Top-N Recommendation.	Litian Yin, Dong Wang 0024, Xin Xin 0003, Yue Ding 0001	2017	ICTAI	Generative recommend	Link
Estimating Reactions and Recommending Products with Generative Models of Reviews.	Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley	2017	IJCNLP(1)	Generative recommend
Visually-Aware Fashion Recommendation and Design with Generative Image Models.	Wang-Cheng Kang, Chen Fang, Zhaowen Wang, Julian J. McAuley	2017	CoRR	Generative recommend
Generative Interest Estimation for Document Recommendations.	Danijar Hafner, Alexander Immer, Willi Raschkowski, Fabian Windheuser	2017	CoRR	Generative recommend
A Group-Oriented Recommendation Algorithm Based on Similarities of Personal Learning Generative Networks.	Haiping Zhu, Yifu Ni, Feng Tian 0002, Pei Feng, Yan Chen 0031, Qinghua Zheng	2018	IEEE Access	Generative recommend	Link
GIST: A generative model with individual and subgroup-based topics for group recommendation.	Ke Ji, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu	2018	Expert Syst. Appl.	Generative recommend	Link
A Generative Model Approach for Geo-Social Group Recommendation.	Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu 0001, Lei Zhao 0001, Victor S. Sheng	2018	J. Comput. Sci. Technol.	Generative recommend	Link
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.	Hongzhi Yin, Weiqing Wang 0001, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang	2018	Knowl. Based Syst.	Generative recommend	Link
Session-aware music recommendation via a generative model approach.	Zhaoquan Cai 0001, Hui Hu	2018	Soft Comput.	Generative recommend	Link
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation.	Xiaoyan Cai, Junwei Han, Libin Yang	2018	AAAI	Generative recommend	Link
Unit of Work Supporting Generative Scientific Workflow Recommendation.	Jia Zhang 0001, Maryam Pourreza, Seungwon Lee, Ramakrishna R. Nemani, Tsengdar J. Lee	2018	ICSOC	Generative recommend	Link
RecGAN: recurrent generative adversarial networks for recommendation systems.	Homanga Bharadhwaj, Homin Park, Brian Y. Lim	2018	RecSys	Generative recommend	Link
Generative API usage code recommendation with parameter concretization.	Chi Chen, Xin Peng 0001, Jun Sun 0001, Zhenchang Xing, Xin Wang, Yifan Zhao, Hairui Zhang, Wenyun Zhao	2019	Sci. China Inf. Sci.	Generative recommend	Link
Collaborative Generative Adversarial Network for Recommendation Systems.	Yuzhen Tong, Yadan Luo, Zheng Zhang 0006, Shazia W. Sadiq, Peng Cui	2019	ICDE Workshops	Generative recommend	Link
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.	Xinshi Chen, Shuang Li 0002, Hui Li, Shaohua Jiang, Yuan Qi 0001, Le Song	2019	ICML	Generative recommend
Topic aspects-based generative mixture model for movie recommendation system using deep convolutional network.	Maha Al-Ghalibi, Kai Lawonn	2019	ICMV	Generative recommend	Link
Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks.	Fenfang Xie, Shenghui Li, Liang Chen 0001, Yangjun Xu, Zibin Zheng	2019	ICWS	Generative recommend	Link
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews.	Wang Chen, Hai-Tao Zheng 0002, Yang Wang, Wei Wang 0138, Rui Zhang 0003	2019	IJCNN	Generative recommend	Link
LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy.	Yang Wang, Hai-Tao Zheng 0002, Wang Chen, Rui Zhang 0003	2019	IJCNN	Generative recommend	Link
RsyGAN: Generative Adversarial Network for Recommender Systems.	Ruiping Yin, Kan Li 0001, Jie Lu 0001, Guangquan Zhang 0001	2019	IJCNN	Generative recommend	Link
A Deep Generative Approach to Search Extrapolation and Recommendation.	Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu	2019	KDD	Generative recommend	Link
A Minimax Game for Generative and Discriminative Sample Models for Recommendation.	Zongwei Wang, Min Gao 0001, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong	2019	PAKDD	Generative recommend	Link
Deep generative ranking for personalized recommendation.	Huafeng Liu 0001, Jingxuan Wen, Liping Jing, Jian Yu	2019	RecSys	Generative recommend	Link
A generative model for review-based recommendations.	Oren Sar Shalom, Guy Uziel, Amir Kantor	2019	RecSys	Generative recommend	Link
A Simple Convolutional Generative Network for Next Item Recommendation.	Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He 0001	2019	WSDM	Generative recommend	Link
Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding.	Parichat Chonwiharnphan, Pipop Thienprapasith, Ekapol Chuangsuwanich	2020	IEEE Access	Generative recommend	Link
Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation.	Yan Zhang 0036, Ivor W. Tsang, Lixin Duan	2020	IEEE Intell. Syst.	Generative recommend	Link
A Spatiotemporal Dilated Convolutional Generative Network for Point-Of-Interest Recommendation.	Chunyang Liu, Jiping Liu, Shenghua Xu, Jian Wang 0005, Chao Liu, Tianyang Chen, Tao Jiang	2020	ISPRS Int. J. Geo Inf.	Generative recommend	Link
Session-based recommendation via flow-based deep generative networks and Bayesian inference.	Ting Zhong, Zijing Wen, Fan Zhou 0002, Goce Trajcevski, Kunpeng Zhang	2020	Neurocomputing	Generative recommend	Link
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation.	Jixiong Liu, Weike Pan, Zhong Ming 0001	2020	Knowl. Based Syst.	Generative recommend	Link
Trust-embedded collaborative deep generative model for social recommendation.	Xiaoyi Deng, Yenchun Jim Wu, Fuzhen Zhuang	2020	J. Supercomput.	Generative recommend	Link
SeqMed: Recommending Medication Combination with Sequence Generative Adversarial Nets.	Shuai Wang	2020	BIBM	Generative recommend	Link
ScholarFinder: Knowledge Embedding Based Recommendations using a Deep Generative Model.	Yuanxun Zhang, Sai Swathi Sivarathri, Prasad Calyam	2020	BigDataService	Generative recommend	Link
Generative Ranking based Sequential Recommendation in Software Crowdsourcing.	Weisong Sun, Xuefeng Yan, Arif Ali Khan	2020	EASE	Generative recommend	Link
Using the Generative Adversarial Network to Generate Recommendations.	A. V. Prosvetov	2020	FSDM	Generative recommend	Link
Design of Friends-Making Recommendation System Based on Reinforcement Learning and Generative Adversarial Network.	YangJie Zhao, Hui Ren, Yuhang Chen	2020	ICITEE	Generative recommend	Link
Deep Generative Recommendation with Maximizing Reciprocal Rank.	Xiaoyi Sun, Huafeng Liu 0001, Liping Jing, Jian Yu	2020	KSEM	Generative recommend	Link
TagRec: Trust-Aware Generative Adversarial Network with Recurrent Neural Network for Recommender Systems.	Honglong Chen, Shuai Wang, Nan Jiang 0013, Zhe Li, Na Yan, Leyi Shi	2020	ML4CS	Generative recommend	Link
National Defense Education Resource Recommender of High Education Institutions Based on Knowledge-Aware Generative Adversarial Network.	Lin Tang, Lin Liu	2020	ML4CS	Generative recommend	Link
Sampling-Decomposable Generative Adversarial Recommender.	Binbin Jin, Defu Lian, Zheng Liu, Qi Liu 0003, Jianhui Ma, Xing Xie 0001, Enhong Chen	2020	NeurIPS	Generative recommend
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code.	Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra	2020	RecSys	Generative recommend	Link
Deep Global and Local Generative Model for Recommendation.	Huafeng Liu 0001, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang 0006, Lin Xiao, Jian Yu	2020	WWW	Generative recommend	Link
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective.	Min Gao 0001, Junwei Zhang 0004, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong	2020	CoRR	Generative recommend
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation.	Yan Zhang 0036, Ivor W. Tsang, Lixin Duan	2020	CoRR	Generative recommend
Sampling-Decomposable Generative Adversarial Recommender.	Binbin Jin, Defu Lian, Zheng Liu, Qi Liu 0003, Jianhui Ma, Xing Xie 0001, Enhong Chen	2020	CoRR	Generative recommend
Generative Inverse Deep Reinforcement Learning for Online Recommendation.	Xiaocong Chen, Lina Yao 0001, Aixin Sun, Xianzhi Wang 0001, Xiwei Xu 0001, Liming Zhu 0001	2020	CoRR	Generative recommend
ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks.	Po-Lin Lai, Chih-Yun Chen, Liang-Wei Lo, Chien Chin Chen	2020	CoRR	Generative recommend
Global citation recommendation employing generative adversarial network.	Zafar Ali, Guilin Qi, Khan Muhammad 0001, Pavlos Kefalas, Shah Khusro	2021	Expert Syst. Appl.	Generative recommend	Link
Trust-aware generative adversarial network with recurrent neural network for recommender systems.	Honglong Chen, Shuai Wang, Nan Jiang 0013, Zhe Li, Na Yan, Leyi Shi	2021	Int. J. Intell. Syst.	Generative recommend	Link
Recommender systems based on generative adversarial networks: A problem-driven perspective.	Min Gao 0001, Junwei Zhang 0004, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong	2021	Inf. Sci.	Generative recommend	Link
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack.	Fan Wu, Min Gao 0001, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang	2021	Inf. Sci.	Generative recommend	Link
Recommendation System Based on Generative Adversarial Network with Graph Convolutional Layers.	Takato Sasagawa, Shin Kawai, Hajime Nobuhara	2021	J. Adv. Comput. Intell. Intell. Informatics	Generative recommend	Link
Interpretable Deep Generative Recommendation Models.	Huafeng Liu 0001, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang 0006, Jian Yu, Michael K. Ng 0001	2021	J. Mach. Learn. Res.	Generative recommend
Learning to Recommend from Sparse Data via Generative User Feedback.	Wenlin Wang	2021	AAAI	Generative recommend	Link
Generative Inverse Deep Reinforcement Learning for Online Recommendation.	Xiaocong Chen, Lina Yao 0001, Aixin Sun, Xianzhi Wang 0001, Xiwei Xu 0001, Liming Zhu 0001	2021	CIKM	Generative recommend	Link
DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems.	Zhiqiang Guo, Chaoyang Wang, Jianjun Li, Guohui Li 0001, Peng Pan 0001	2021	DASFAA	Generative recommend	Link
SSRGAN: A Generative Adversarial Network for Streaming Sequential Recommendation.	Yao Lv, Jiajie Xu 0001, Rui Zhou 0001, Junhua Fang, Chengfei Liu	2021	DASFAA	Generative recommend	Link
Research on Requirements Recommendation Method for High-end Equipment Based on Generative Adversarial Networks.	Zeshui Liu, Xiangqian Xu, Nan Xiang, Zhuoqian Li, Yajie Dou, Yuejin Tan	2021	DSC	Generative recommend	Link
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks.	Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian	2021	ICDM	Generative recommend	Link
Causal and Non-causal Training: A Dynamic Gap-complementary Generative Framework for Session-based Recommendation.	Ruoran Huang, Chuanqi Han, Li Cui	2021	IJCNN	Generative recommend	Link
Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System.	Qingxian Wang 0001, Renjian Zhang, Kangkang Ma, Bo Chen, Jiufang Chen, Xiaoyu Shi	2021	ISPA/BDCloud/SocialCom/SustainCom	Generative recommend	Link
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.	Yao Zhou, Jianpeng Xu, Jun Wu 0019, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He	2021	KDD	Generative recommend	Link
A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network.	Qingxian Wang 0001, Qing Huang, Kangkang Ma, Xuerui Zhang	2021	SMC	Generative recommend	Link
Variation Control and Evaluation for Generative Slate Recommendations.	Shuchang Liu 0001, Fei Sun 0001, Yingqiang Ge, Changhua Pei, Yongfeng Zhang	2021	WWW	Generative recommend	Link
GRN: Generative Rerank Network for Context-wise Recommendation.	Yufei Feng, Binbin Hu, Yu Gong, Fei Sun 0001, Qingwen Liu, Wenwu Ou	2021	CoRR	Generative recommend
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.	Fan Wu, Min Gao 0001, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu	2021	CoRR	Generative recommend
Controllable Recommenders using Deep Generative Models and Disentanglement.	Samarth Bhargav, Evangelos Kanoulas	2021	CoRR	Generative recommend
What Users Want? WARHOL: A Generative Model for Recommendation.	nan	2021	CoRR	Generative recommend
Chinese Medicine Prescription Recommendation Using Generative Adversarial Network.	Chuitian Rong, Xueyan Li, Xuemei Sun, Huabo Sun	2022	IEEE Access	Generative recommend	Link
Leveraging implicit social structures for recommendation via a Bayesian generative model.	Huafeng Liu 0001, Jingxuan Wen, Liping Jing, Jian Yu	2022	Sci. China Inf. Sci.	Generative recommend	Link
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks.	Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra	2022	ACM Comput. Surv.	Generative recommend	Link
A framework for personalized recommendation with conditional generative adversarial networks.	Jing Wen, Xi-Ran Zhu, Chang-Dong Wang, Zhihong Tian	2022	Knowl. Inf. Syst.	Generative recommend	Link
Learning compact yet accurate Generative Adversarial Networks for recommender systems.	Yu Zhao, Kuo Wang, Guibing Guo, Xingwei Wang 0001	2022	Knowl. Based Syst.	Generative recommend	Link
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation.	Manal A. Alshehri, Xiangliang Zhang 0001	2022	CIKM	Generative recommend	Link
Content-Aware Generative Model for Multi-item Outfit Recommendation.	Valery Volokha, Klavdiya Bochenina	2022	ICCS	Generative recommend	Link
Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems.	Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi	2022	IIR	Generative recommend
Recommendation via Collaborative Diffusion Generative Model.	Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou 0002	2022	KSEM	Generative recommend	Link
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction.	Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek	2022	MLCB	Generative recommend
From Abstract to Details: A Generative Multimodal Fusion Framework for Recommendation.	Fangxiong Xiao, Lixi Deng, Jingjing Chen, Houye Ji, Xiaorui Yang, Zhuoye Ding, Bo Long	2022	ACM Multimedia	Generative recommend	Link
Generative Adversarial Framework for Cold-Start Item Recommendation.	Hao Chen 0062, Zefan Wang, Feiran Huang, Xiao Huang 0001, Yue Xu, Yishi Lin, Peng He, Zhoujun Li 0001	2022	SIGIR	Generative recommend	Link
What Is Next? A Generative Approach for Service Composition Recommendations.	Guodong Fan, Shizhan Chen, Hongyue Wu, Ming Zhu, Xiao Xue 0001, Zhiyong Feng 0002	2022	SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta	Generative recommend	Link
Generative Session-based Recommendation.	Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu 0001	2022	WWW	Generative recommend	Link
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.	Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang	2022	CoRR	Generative recommend	Link
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction.	Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Eike Staub, Ewa Szczurek	2022	CoRR	Generative recommend	Link
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation.	Jing Du, Zesheng Ye, Lina Yao 0001, Bin Guo 0001, Zhiwen Yu 0001	2022	CoRR	Generative recommend	Link
Generative Recommendation: Towards Next-generation Recommender Paradigm.	Wenjie Wang 0007, Xinyu Lin, Fuli Feng, Xiangnan He 0001, Tat-Seng Chua	2023	CoRR	Generative recommend	Link
ColdGAN: an effective cold-start recommendation system for new users based on generative adversarial networks.	Chien Chin Chen, Po-Lin Lai, Chih-Yun Chen	2023	Appl. Intell.	Generative recommend	Link
IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation.	Xiaoyuan Song, Jiwei Qin, Qiulin Ren, Jiong Zheng	2023	Eng. Appl. Artif. Intell.	Generative recommend	Link
A Social Recommendation Model Based on Basic Spatial Mapping and Bilateral Generative Adversarial Networks.	Suqi Zhang, Ningjing Zhang, Wenfeng Wang, Qiqi Liu, Jianxin Li	2023	Entropy	Generative recommend	Link
GANRec: A negative sampling model with generative adversarial network for recommendation.	Zhi Yang, Jiwei Qin, Chuan Lin, Yanping Chen 0010, Ruizhang Huang, Yongbin Qin	2023	Expert Syst. Appl.	Generative recommend	Link
Wide & deep generative adversarial networks for recommendation system.	Jianhong Li, Jianhua Li, Chengjun Wang, Xin Zhao	2023	Intell. Data Anal.	Generative recommend	Link
Smart City Facility Location Recommendation Algorithm Using Multimedia Data and Improved Generative Adversarial Networks.	Xueqing Xie, Ming He	2023	Int. J. Intell. Syst.	Generative recommend	Link
Optimisation driven generative adversarial network for course recommendation in e-learning.	Jobin Varghese P., R. Vijayakumar	2023	Int. J. Wirel. Mob. Comput.	Generative recommend	Link
Enhancing sequential recommendation with contrastive Generative Adversarial Network.	Shuang Ni, Wei Zhou 0028, Junhao Wen, Linfeng Hu, Shutong Qiao	2023	Inf. Process. Manag.	Generative recommend	Link
Self-attention generative adversarial capsule network optimized with atomic orbital search algorithm based sentiment analysis for online product recommendation.	Sudhakaran Periakaruppan, N. Shanmugapriya, Rajeswari Sivan	2023	J. Intell. Fuzzy Syst.	Generative recommend	Link
Hybrid Generative Adversarial Networks for News Recommendation.	Duen-Ren Liu, Yang Huang, Ching-Yi Tseng, Shin-Jye Lee	2023	J. Inf. Sci. Eng.	Generative recommend
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.	Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez 0001	2023	Knowl. Based Syst.	Generative recommend	Link
Recurrent Session Approach to Generative Association Rule based Recommendation.	Tubagus Arief Armanda, Ire Puspa Wardhani, Tubagus M. Akhriza, Tubagus M. Adrie Admira	2023	Knowl. Eng. Data Sci.	Generative recommend	Link
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.	Thanh Toan Nguyen, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen	2023	ACM Trans. Inf. Syst.	Generative recommend	Link
GC-TripRec: Graph contextualized generative network with adversarial learning for trip recommendation.	Jinyi Zhao, Junhua Fang, Pingfu Chao, Bo Ning 0002, Ruoqian Zhang	2023	World Wide Web	Generative recommend	Link
A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems.	Hongyun Cai 0002, Shiyun Wang, Yu Zhang, Meiling Zhang, Ao Zhao	2023	ADMA	Generative recommend	Link
Toward a Generative Chatbot for an OER Recommender System Designed for the Teaching Community: General Architecture and Technical Components.	Rima Sandoussi, Meriem Hnida, Najima Daoudi, Rachida Ajhoun	2023	AICV	Generative recommend	Link
Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation.	Fouzi Harrag, Chaima Mahdadi, Amina Nourhane Ziad	2023	BIAS	Generative recommend	Link
The 1st Workshop on Recommendation with Generative Models.	Wenjie Wang 0007, Yong Liu 0020, Yang Zhang 0072, Weiwen Liu, Fuli Feng, Xiangnan He 0001, Aixin Sun	2023	CIKM	Generative recommend	Link
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.	Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni	2023	eCom@SIGIR	Generative recommend
VCGAN: Variational Collaborative Generative Adversarial Network for Recommendation Systems.	Chung-Han Zhou, Yi-Ling Chen	2023	ICC	Generative recommend	Link
A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback.	Shashank Gupta 0001, Harrie Oosterhuis, Maarten de Rijke	2023	ICTIR	Generative recommend	Link
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems.	Pawan Agrawal, Subham Raj, Sriparna Saha 0001, Naoyuki Onoe	2023	INNS DLIA@IJCNN	Generative recommend	Link
Generative Flow Network for Listwise Recommendation.	Shuchang Liu 0006, Qingpeng Cai 0001, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang 0002, Kun Gai	2023	KDD	Generative recommend	Link
GoRec: A Generative Cold-start Recommendation Framework.	Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang 0015, Richang Hong, Meng Wang 0001	2023	ACM Multimedia	Generative recommend	Link
A Generative Adversarial Approach with Social Relationship for Recommender Systems.	Xiangxia Li, Kairui Chen, Yalan Zhou, Yanhong Chen	2023	PCCNT	Generative recommend	Link
Generative Next-Basket Recommendation.	Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen	2023	RecSys	Generative recommend	Link
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.	Zhi Zheng, Ying Sun 0006, Xin Song, Hengshu Zhu, Hui Xiong 0001	2023	RecSys	Generative recommend	Link
Generative-Contrastive Graph Learning for Recommendation.	Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang 0015, Richang Hong, Zhiqiang Zhang 0012, Jun Zhou 0011, Meng Wang 0001	2023	SIGIR	Generative recommend	Link
Generative Slate Recommendation with Reinforcement Learning.	Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke	2023	WSDM	Generative recommend	Link
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation.	Jing Du, Zesheng Ye, Bin Guo 0001, Zhiwen Yu 0001, Lina Yao 0001	2023	WSDM	Generative recommend	Link
Generative Slate Recommendation with Reinforcement Learning.	Romain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke	2023	CoRR	Generative recommend	Link
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks.	Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez 0001	2023	CoRR	Generative recommend	Link
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation.	Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni	2023	CoRR	Generative recommend	Link
Recommender Systems with Generative Retrieval.	Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran 0002, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy	2023	CoRR	Generative recommend	Link
A First Look at LLM-Powered Generative News Recommendation.	Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu 0003	2023	CoRR	Generative recommend	Link
Generative Flow Network for Listwise Recommendation.	Shuchang Liu 0006, Qingpeng Cai 0001, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang 0002, Kun Gai	2023	CoRR	Generative recommend	Link
Generative Sequential Recommendation with GPTRec.	Aleksandr V. Petrov, Craig Macdonald	2023	CoRR	Generative recommend	Link
GenRec: Large Language Model for Generative Recommendation.	Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang	2023	CoRR	Generative recommend	Link
Generative Job Recommendations with Large Language Model.	Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong 0001	2023	CoRR	Generative recommend	Link
Generative Contrastive Graph Learning for Recommendation.	Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang 0012, Jun Zhou, Meng Wang 0001	2023	CoRR	Generative recommend	Link
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.	Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song 0021, Hengshu Zhu, Jie Zhang	2023	CoRR	Generative recommend	Link
Towards Personalized Prompt-Model Retrieval for Generative Recommendation.	Yuanhe Guo, Haoming Liu 0003, Hongyi Wen	2023	CoRR	Generative recommend	Link
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.	Lei Li 0042, Yongfeng Zhang, Dugang Liu, Li Chen 0009	2023	CoRR	Generative recommend	Link
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models.	Craig Boutilier, Martin Mladenov, Guy Tennenholtz	2023	CoRR	Generative recommend	Link
On Generative Agents in Recommendation.	An Zhang 0003, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng 0002, Xiang Wang 0010, Tat-Seng Chua	2023	CoRR	Generative recommend	Link
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation.	Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu 0001, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou 0001	2023	CoRR	Generative recommend	Link
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation.	Kai Mei, Yongfeng Zhang	2023	CoRR	Generative recommend	Link
LFG: A Generative Network for Real-Time Recommendation.	Junyi Liu	2023	CoRR	Generative recommend	Link
Poisoning QoS-aware cloud API recommender system with generative adversarial network attack.	Zhen Chen 0007, Taiyu Bao, Wenchao Qi, Dianlong You, Linlin Liu, Limin Shen	2024	Expert Syst. Appl.	Generative recommend	Link
GS-RS: A Generative Approach for Alleviating Cold Start and Filter Bubbles in Recommender Systems.	Yuanbo Xu, En Wang, Yongjian Yang, Hui Xiong 0001	2024	IEEE Trans. Knowl. Data Eng.	Generative recommend	Link
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation.	Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran Rama, Laurent Boué	2024	CoRR	Generative recommend	Link
APIGen: Generative API Method Recommendation.	Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao 0001, Yong Wang, Guoai Xu	2024	CoRR	Generative recommend	Link
Recommendations for public action towards sustainable generative AI systems.	Thomas Le Goff	2024	CoRR	Generative recommend	Link
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks.	Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jung-Tae Lee	2018	CIKM	Generative collaborative filtering	Link
Enhancing Collaborative Filtering with Generative Augmentation.	Qinyong Wang, Hongzhi Yin, Hao Wang 0005, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui	2019	KDD	Generative collaborative filtering	Link
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering.	Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, Jaeho Choi	2019	WWW	Generative collaborative filtering	Link
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation.	Jixiong Liu, Weike Pan, Zhong Ming 0001	2020	Knowl. Based Syst.	Generative collaborative filtering	Link
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering.	Feng Yuan, Lina Yao 0001, Boualem Benatallah	2020	CIKM	Generative collaborative filtering	Link
BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks.	Rui Ding 0003, Guibing Guo, Xiaochun Yang 0001, Bowei Chen 0004, Zhirong Liu, Xiuqiang He 0001	2020	SDM	Generative collaborative filtering	Link
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering.	Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi	2022	ECIR	Generative collaborative filtering	Link
Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems.	Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi	2022	IIR	Generative collaborative filtering
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering.	Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi	2022	CoRR	Generative collaborative filtering
IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation.	Xiaoyuan Song, Jiwei Qin, Qiulin Ren, Jiong Zheng	2023	Eng. Appl. Artif. Intell.	Generative collaborative filtering	Link
Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks.	Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez 0001	2023	Knowl. Based Syst.	Generative collaborative filtering	Link
Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering.	Subharag Sarkar, Manfred Huber	2023	FLAIRS	Generative collaborative filtering	Link
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks.	Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera, Luis Martínez 0001	2023	CoRR	Generative collaborative filtering	Link
Collaborative emitter tracking using Rao-Blackwellized random exchange diffusion particle filtering.	Marcelo G. S. Bruno, Stiven Schwanz Dias	2014	EURASIP J. Adv. Signal Process.	Diffusion collaborative filtering	Link
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.	Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu	2022	CoRR	Diffusion collaborative filtering	Link
Towards Graph-Aware Diffusion Modeling for Collaborative Filtering.	Yunqin Zhu, Chao Wang, Hui Xiong 0001	2023	CoRR	Diffusion collaborative filtering	Link
Personal Recommendation Via Heterogeneous Diffusion on Bipartite Network.	Chunhua Ju, Chonghuan Xu	2014	Int. J. Artif. Intell. Tools	Diffusion recommend	Link
A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN.	Iury Nunes, Leandro Balby Marinho	2014	LA-WEB	Diffusion recommend	Link
DifRec: A Social-Diffusion-Aware Recommender System.	Hossein Vahabi, Iordanis Koutsopoulos, Francesco Gullo, Maria Halkidi	2015	CIKM	Diffusion recommend	Link
A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion.	Bangzuo Zhang, Shulin Tang, Zongming Ying, Yongjian Cai, Guiping Xu, Kun Xu	2015	WAIM Workshops	Diffusion recommend	Link
Epidemic Information Diffusion: A Simple Solution to Support Community-based Recommendations in P2P Overlays.	Patrizio Dazzi, Matteo Mordacchini, Laura Ricci	2015	CoRR	Diffusion recommend
Accelerated Diffusion-Based Recommendation Algorithm on Tripartite Graphs with GPU Clusters.	Jingpeng Wang, Jie Huang, Mi Li	2016	Int. J. Networked Distributed Comput.	Diffusion recommend	Link
Profiling users with tag networks in diffusion-based personalized recommendation.	Jin Mao, Kun Lu 0001, Gang Li, Ming Yi	2016	J. Inf. Sci.	Diffusion recommend	Link
Recommendation information diffusion in social networks considering user influence and semantics.	Dionisis Margaris, Costas Vassilakis, Panagiotis Georgiadis 0001	2016	Soc. Netw. Anal. Min.	Diffusion recommend	Link
Social Content Recommendation Based on Spatial-Temporal Aware Diffusion Modeling in Social Networks.	Farman Ullah, Sungchang Lee	2016	Symmetry	Diffusion recommend	Link
TAFFY: incorporating tag information into a diffusion process for personalized recommendations.	Mingxin Gan	2016	World Wide Web	Diffusion recommend	Link
Diffusion filtering of graph signals and its use in recommendation systems.	Jeremy Ma, Weiyu Huang, Santiago Segarra, Alejandro Ribeiro	2016	ICASSP	Diffusion recommend	Link
Accelerated diffusion-based recommendation algorithm on tripartite graphs with GPU clusters.	Mi Li, Jie Huang, Jingpeng Wang	2016	SNPD	Diffusion recommend	Link
Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphs.	Jianguo Li, Yong Tang 0001, Jiemin Chen	2016	CoRR	Diffusion recommend
Mixed Similarity Diffusion for Recommendation on Bipartite Networks.	Ximeng Wang, Yun Liu 0001, Guangquan Zhang 0001, Yi Zhang 0095, Hongshu Chen, Jie Lu 0001	2017	IEEE Access	Diffusion recommend	Link
Swallow: Resource and Tag Recommender System Based on Heat Diffusion Algorithm in Social Annotation Systems.	Vahideh Amel Mahboob, Mehrdad Jalali, Majid Vafaei Jahan, Pegah Barekati	2017	Comput. Intell.	Diffusion recommend	Link
A Novel Preferential Diffusion Recommendation Algorithm Based on User's Nearest Neighbors.	Fuguo Zhang, Yehuan Liu, Qinqiao Xiong	2017	Int. J. Digit. Multim. Broadcast.	Diffusion recommend	Link
A general and effective diffusion-based recommendation scheme on coupled social networks.	Xiaofang Deng, Yuansheng Zhong, Linyuan Lü, Naixue Xiong, Chi Ho Yeung	2017	Inf. Sci.	Diffusion recommend	Link
Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries.	Carlos Porcel, Alberto Ching-López, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma	2017	J. Inf. Process. Syst.	Diffusion recommend	Link
Trajectory Community Discovery and Recommendation by Multi-Source Diffusion Modeling.	Siyuan Liu, Shuhui Wang	2017	IEEE Trans. Knowl. Data Eng.	Diffusion recommend	Link
Personalized Recommendation Based on Unbalanced Symmetrical Mass Diffusion.	Tianrun Gao, Yuexia Zhang, Xuzhen Zhu, Lihua Li	2017	BigMM	Diffusion recommend	Link
A Tag-Based Integrated Diffusion Model for Personalized Location Recommendation.	Yaolin Zheng, Yulong Wang, Lei Zhang 0094, Jingyu Wang 0001, Qi Qi 0001	2017	ICONIP	Diffusion recommend	Link
Canalization or Increased Diffusion? An Empirical Analysis on the Impact of the Recommendation System in the Mobile App Market.	Charles Zhechao Liu, Mohsen M. Jozani, Kim-Kwang Raymond Choo	2018	HICSS	Diffusion recommend
The Internet of Things Service Recommendation Based on Tripartite Graph with Mass Diffusion.	Pingquan Wang, Hong Luo 0001, Mohammad S. Obaidat, Tin-Yu Wu	2018	ICC Workshops	Diffusion recommend	Link
A trust-based recommendation method using network diffusion processes.	Lingjiao Chen, Jian Gao	2018	CoRR	Diffusion recommend
A Novel Learning Model Based on Trust Diffusion and Global Item for Recommender Systems.	Yakun Li, Jiaomin Liu, Jiadong Ren	2019	IEEE Access	Diffusion recommend	Link
Personalized Recommendation via Trust-Based Diffusion.	Yuanzhen Liu, Lixin Han, Zhinan Gou, Yi Yang 0022	2019	IEEE Access	Diffusion recommend	Link
A distributed cross layer recommender system incorporating product diffusion.	S. Ephina Thendral, Valliyammai Chinnaiah	2019	Int. J. Bus. Intell. Data Min.	Diffusion recommend	Link
Item diversified recommendation based on influence diffusion.	Huimin Huang, Hong Shen 0001, Zaiqiao Meng	2019	Inf. Process. Manag.	Diffusion recommend	Link
Predictability of diffusion-based recommender systems.	Peng Zhang, Leyang Xue, An Zeng	2019	Knowl. Based Syst.	Diffusion recommend	Link
Mass Diffusion Recommendation Algorithm Based on Multi-subnet Composited Complex Network Model.	Shuang Zhou 0011, Sheng Bin, Gengxin Sun	2019	ICAIS	Diffusion recommend	Link
Personalized diffusions for top-n recommendation.	Athanasios N. Nikolakopoulos, Dimitris Berberidis, George Karypis, Georgios B. Giannakis	2019	RecSys	Diffusion recommend	Link
Information Diffusion in Social Networks: a recommendation model in the educational context.	Felipe Neves, Victor Ströele, Fernanda Campos	2019	SBSI	Diffusion recommend	Link
A Neural Influence Diffusion Model for Social Recommendation.	Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang 0001	2019	SIGIR	Diffusion recommend	Link
Predictability of diffusion-based recommender systems.	Peng Zhang, Leyang Xue, An Zeng	2019	CoRR	Diffusion recommend
A Neural Influence Diffusion Model for Social Recommendation.	Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang 0001	2019	CoRR	Diffusion recommend
Recommending investors for new startups by integrating network diffusion and investors' domain preference.	Shuqi Xu, Qian-Ming Zhang, Linyuan Lu, Manuel Sebastian Mariani	2019	CoRR	Diffusion recommend
IoT Service Recommendation Scheme Based on Matter Diffusion.	Pingquan Wang	2020	IEEE Access	Diffusion recommend	Link
A novel recommender algorithm based on graph embedding and diffusion sampling.	Jiaying Chen, Jiong Yu, Yurong Qian, Ping Li 0033, Chen Bian	2020	Concurr. Comput. Pract. Exp.	Diffusion recommend	Link
Recommending investors for new startups by integrating network diffusion and investors' domain preference.	Shuqi Xu, Qian-Ming Zhang, Linyuan Lü, Manuel Sebastian Mariani	2020	Inf. Sci.	Diffusion recommend	Link
Recommender System-Based Diffusion Inferring for Open Social Networks.	Xiao Yang, Mianxiong Dong, Xiuzhen Chen, Kaoru Ota	2020	IEEE Trans. Comput. Soc. Syst.	Diffusion recommend	Link
User Preference Translation Model for Recommendation System with Item Influence Diffusion Embedding.	Hao-Shang Ma, Jen-Wei Huang	2020	ASONAM	Diffusion recommend	Link
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.	Bo Jin 0001, Ke Cheng, Liang Zhang 0031, Yanjie Fu, Minghao Yin, Lu Jiang 0007	2020	CIKM	Diffusion recommend	Link
Heterogeneous Information Diffusion Model for Social Recommendation.	Yuan Li 0009, Kedian Mu	2020	ICTAI	Diffusion recommend	Link
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.	Jianling Wang, Kaize Ding, Ziwei Zhu 0001, Yin Zhang 0011, James Caverlee	2020	WSDM	Diffusion recommend	Link
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation.	Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang 0001	2020	CoRR	Diffusion recommend
Recommendation with Diversity: Mass Diffusion Model Based on Trust Network and Object Reputation.	Yun Bai, Wandong Cai	2021	Mob. Inf. Syst.	Diffusion recommend	Link
CoveR: An Information Diffusion Aware Approach for Efficient Recommendations Under User Coverage Constraints.	Margarita Vitoropoulou, Konstantinos Tsitseklis, Vasileios Karyotis, Symeon Papavassiliou	2021	IEEE Trans. Comput. Soc. Syst.	Diffusion recommend	Link
Interest-aware influence diffusion model for social recommendation.	Yuqiang Li, Zhilong Zhan, Huan Li, Chun Liu	2022	J. Intell. Inf. Syst.	Diffusion recommend	Link
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation.	Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang 0001	2022	IEEE Trans. Knowl. Data Eng.	Diffusion recommend	Link
Context-Enhanced Probabilistic Diffusion for Urban Point-of-Interest Recommendation.	Zhipeng Zhang, Mianxiong Dong, Kaoru Ota, Yao Zhang, Yasuo Kudo	2022	IEEE Trans. Serv. Comput.	Diffusion recommend	Link
Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People.	Diyawu Mumin, Lei-Lei Shi, Lu Liu 0001, John Panneerselvam	2022	IEEE Trans. Syst. Man Cybern. Syst.	Diffusion recommend	Link
Graph-Based Diffusion Method for Top-N Recommendation.	Yifei Zhou, Conor Hayes	2022	AICS	Diffusion recommend	Link
Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback.	Lingzi Zhang, Yong Liu 0020, Xin Zhou 0008, Chunyan Miao, Guoxin Wang 0002, Haihong Tang	2022	DASFAA	Diffusion recommend	Link
Personalized recommendation algorithm of books based on the diffusion of reader's interest.	Lei Min	2022	EITCE	Diffusion recommend	Link
Recommendation Model for Tourism by Personality Type Using Mass Diffusion Method.	Ni Xu, Yu-Hsuan Chen, Ping-Yu Hsu 0001, Ming-Shien Cheng, Chi-Yen Li	2022	HCI	Diffusion recommend	Link
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society.	Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li 0007, Quan Bai, Erin Roehrer	2022	IJCAI	Diffusion recommend	Link
Recommendation via Collaborative Diffusion Generative Model.	Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou 0002	2022	KSEM	Diffusion recommend	Link
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation.	Yi Zhang 0095, Mengjia Wu, Jie Lu 0001	2022	CoRR	Diffusion recommend	Link
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion.	Vaibhav Krishna, Nino Antulov-Fantulin	2022	CoRR	Diffusion recommend	Link
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models.	Ling Li, Shaohua Li, Winda Marantika, Alex C. Kot, Huijing Zhan	2023	CoRR	Diffusion recommend	Link
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation.	Yi Zhang 0095, Mengjia Wu, Guangquan Zhang 0001, Jie Lu 0001	2023	J. Assoc. Inf. Sci. Technol.	Diffusion recommend	Link
Group-based social diffusion in recommendation.	Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui 0001, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang 0056, Leyu Lin	2023	World Wide Web	Diffusion recommend	Link
Diffusion Augmentation for Sequential Recommendation.	Qidong Liu, Fan Yan, Xiangyu Zhao 0001, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian 0002	2023	CIKM	Diffusion recommend	Link
Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation.	Jiaxi Wang, Haochen Li 0001, Tong Mo, Weiping Li	2023	DASFAA	Diffusion recommend	Link
Observation Is Reality? A Graph Diffusion-Based Approach for Service Tags Recommendation.	Shuang Yu, Qingfeng Li, Mingyi Liu, Zhongjie Wang	2023	ICSOC	Diffusion recommend	Link
Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation.	Zihao Wu 0005, Xin Wang 0019, Hong Chen, Kaidong Li, Yi Han, Lifeng Sun, Wenwu Zhu 0001	2023	ACM Multimedia	Diffusion recommend	Link
Diffusion Recommender Model.	Wenjie Wang 0007, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He 0001, Tat-Seng Chua	2023	SIGIR	Diffusion recommend	Link
DiffuRec: A Diffusion Model for Sequential Recommendation.	Zihao Li, Aixin Sun, Chenliang Li	2023	CoRR	Diffusion recommend	Link
Sequential Recommendation with Diffusion Models.	Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou 0001	2023	CoRR	Diffusion recommend	Link
Diffusion Recommender Model.	Wenjie Wang 0007, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He 0001, Tat-Seng Chua	2023	CoRR	Diffusion recommend	Link
Neural Multi-network Diffusion towards Social Recommendation.	Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang 0001, Hanghang Tong	2023	CoRR	Diffusion recommend	Link
A Diffusion model for POI recommendation.	Yifang Qin, Hongjun Wu 0006, Wei Ju, Xiao Luo 0001, Ming Zhang 0004	2023	CoRR	Diffusion recommend	Link
Conditional Denoising Diffusion for Sequential Recommendation.	Yu Wang 0158, Zhiwei Liu, Liangwei Yang, Philip S. Yu	2023	CoRR	Diffusion recommend	Link
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.	Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke	2023	CoRR	Diffusion recommend	Link
Discrete Conditional Diffusion for Reranking in Recommendation.	Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang 0002	2023	CoRR	Diffusion recommend	Link
Diffusion Augmentation for Sequential Recommendation.	Qidong Liu, Fan Yan, Xiangyu Zhao 0001, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian 0002	2023	CoRR	Diffusion recommend	Link
LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation.	Penghang Yu, Zhiyi Tan 0002, Guanming Lu, Bing-Kun Bao	2023	CoRR	Diffusion recommend	Link
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion.	Zhengyi Yang 0007, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He 0001	2023	CoRR	Diffusion recommend	Link
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems.	Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin	2023	CoRR	Diffusion recommend	Link
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.	Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin	2023	CoRR	Diffusion recommend	Link
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.	Jeongwhan Choi 0002, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park	2023	CoRR	Diffusion recommend	Link
DiffKG: Knowledge Graph Diffusion Model for Recommendation.	Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang 0001	2023	CoRR	Diffusion recommend	Link
A novel diffusion recommendation algorithm based on multi-scale cnn and residual lstm.	nan	2023	CoRR	Diffusion recommend	Link
A Diffusion Model for POI Recommendation.	Yifang Qin, Hongjun Wu 0006, Wei Ju, Xiao Luo 0001, Ming Zhang 0004	2024	ACM Trans. Inf. Syst.	Diffusion recommend	Link
Plug-in Diffusion Model for Sequential Recommendation.	Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang	2024	CoRR	Diffusion recommend	Link
Plug-In Diffusion Model for Embedding Denoising in Recommendation System.	Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng	2024	CoRR	Diffusion recommend	Link
ToDA: Target-oriented Diffusion Attacker against Recommendation System.	Xiaohao Liu, Zhulin Tao, Ting Jiang, He Chang, Yunshan Ma, Xianglin Huang	2024	CoRR	Diffusion recommend	Link
Diffusion Cross-domain Recommendation.	Yuner Xuan	2024	CoRR	Diffusion recommend	Link
From Abstract to Details: A Generative Multimodal Fusion Framework for Recommendation.	Fangxiong Xiao, Lixi Deng, Jingjing Chen, Houye Ji, Xiaorui Yang, Zhuoye Ding, Bo Long	2022	ACM Multimedia	Multimodal generative recommend	Link
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation.	Renfeng Ma, Xipeng Qiu, Qi Zhang 0001, Xiangkun Hu, Yu-Gang Jiang, Xuanjing Huang 0001	2021	IEEE Trans. Knowl. Data Eng.	Multimodal gan recommend	Link
Multimodal deep collaborative filtering recommendation based on dual attention.	Pei Yin, Dandan Ji, Han Yan, Hongcheng Gan, Jinxian Zhang	2023	Neural Comput. Appl.	Multimodal gan recommend	Link
State Graph Reasoning for Multimodal Conversational Recommendation.	Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua	2023	IEEE Trans. Multim.	Multimodal gan recommend	Link