2025年第39届人工智能顶级会议AAAI论文列表已于近日放出，此次会议共收到12957篇有效投稿，录取篇数为3032篇，录取率为23.4%。大会将在2025年2月25日到3月4日在美国宾夕法尼亚州费城举办。
我们特意从3032篇论文中筛选出与推荐系统相关的85篇文章供大家阅读，提前领略学术前沿趋势与牛人的最新想法，其中Oral有22篇，Poster有63篇。通过整理发现，此次会议接收的推荐系统相关论文主要涉及多模态推荐、大模型推荐、图推荐、扩散模型推荐、序列推荐、跨域推荐等。
下文整理了推荐系统相关的论文标题，供大家查看相关的研究主题，其中有一些论文已经发布在预印版网站上，大家可提前阅读。
Oral（22篇）
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Jun Hu,Bryan Hooi,Bingsheng He,Yinwei Wei
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
Yuting Liu,Jinghao Zhang,Yizhou Dang,Yuliang Liang,Qiang Liu,Guibing Guo,Jianzhe Zhao,Xingwei Wang
Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang,Haokai Ma,Lei Meng,Shuo Xu,Ruobing Xie,Xiangxu Meng
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia,Yipei Wang,Yan Li,Honggang Chen,xuehan bai,Zhaocheng Liu,Jian Liang,Quan Chen,Han Li,Peng Jiang,Kun Gai
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye,Wen Wu,Guoqing Wang,Xi Chen,Hong Zheng,Liang He
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Penghang Yu,Zhiyi Tan,Guanming Lu,Bingkun BAO
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
Chunxu Zhang,Guodong Long,Hongkuan Guo,Liu Zhaojie,Guorui Zhou,Zijian Zhang,Yang Liu,Bo Yang
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu,Xian Wu,Wanyu Wang,Yejing Wang,Yuanshao Zhu,Xiangyu Zhao,Feng Tian,Yefeng Zheng
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge,Xin Wang,Ziwei Zhang,Yijian Qin,Hong Chen,Haiyang Wu,Yang Zhang,Yuekui Yang,Wenwu Zhu
Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang,KE LIANG,Yanyi Huang,Xiang Zeng,Kai Chen,Bin Zhou
Robust Graph Based Social Recommendation through Contrastive Multi-view Learning
Tao Zhang,Fei Xiong,Shirui Pan,Guixun Luo,Liang Wang
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Nian Rong,Fei Xiong,Shirui Pan,Guixun Luo,Jia Wu,Liang Wang
Counterfactual Task-Augmented Meta-Learning for Cold-Start Sequence Recommendation
Zhiqiang Wang,Jiayi Pan,Xingwang Zhao,Jianqing Liang,Chenjiao Feng,Kaixuan Yao
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan,Anjun Gao,Xingrui Yu,Pingfu Chao,Jun Song,Maohao Ran
Dynamic Multi-Modal Recommendation Under Legal, Licensing, and Modality Constraints with Reverse BPR
Yash Sinha,Murari Mandal,Mohan Kankanhalli
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization
guanghan li,Xun Zhang,Zhangyufei,Yifan Yin,Guojun Yin,Wei Lin
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
TangShuai,Sitao Lin,Jianghong Ma,Xiaofeng Zhang
Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation
Jinyu Zhang,Zhongying Zhao,Chao Li,Yanwei Yu
Enhancing Diffusion Model with Auxiliary Information Mining Exploration and Efficient Sampling Mechanism for Sequential Recommendation
Te Song,Lianyong Qi,Weiming Liu,Fan Wang,Xiaolong Xu,Xuyun Zhang,Amin Beheshti,Xiaokang Zhou,Wanchun Dou
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
Mingtao Xu,Wei Wei,Peixuan Yang,Hulong Wu
Spatial-Temporal Knowledge Distillation For Takeaway Recommendation
Shuyuan Zhao,Wei Chen,Boyan Shi,Liyong Zhou,Shuohao Lin,Huaiyu Wan
Ehancing Long- and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
Jiajie Chen,Peng-Fei Zhang,Yu Sang,Jiaan Wang,Jianfeng Qu,Zhixu Li
Poster（63篇）
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
Ye Zhang,Yanqi Gao,Dongjie Wang,Yupeng Zhou,Jinlong He,Zhaoyang Sun,Minghao Yin
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
Chao Song,Zheng Ren,Li Lu
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Yuxin Qi,Quan Zhang,Xi Lin,Xiu Su,Jiani Zhu,Jingyu Wang,Jianhua Li
LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation
Zhonghong Ou,Xiao zhang,Yifan Zhu,Shuai Lv,Jiahao Liu,Tu Ao
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
Yuhan Zhao,Rui Chen,Li Chen,Shuang Zhang,Qilong Han,Hongtao Song
Intent Oriented Contrastive Learning for Sequential Recommendation
Wuhong Wang,Jianhui Ma,Yuren Zhang,Kai Zhang,Junzhe Jiang,Yihui Yang,Yacong Zhou,Zheng Zhang
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
Yizhou Dang,Jiahui Zhang,Yuting Liu,Enneng Yang,Yuliang Liang,Guibing Guo,Jianzhe Zhao,Xingwei Wang
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Lei Songyuan,changxinglong,Zhizhi Yu,Dongxiao He,Cuiying Huo,Jianrong Wang,Di Jin
SIGMA: Selective Gated Mamba for Sequential Recommendation
Ziwei Liu,Qidong Liu,Yejing Wang,Wanyu Wang,Pengyue Jia,Maolin Wang,Zitao Liu,Yi Chang,Xiangyu Zhao
Ready for You When You are Back: Content-driven Session-based Recommendation for Continuity of Experience
Brijraj Singh,Sonal,Niranjan Pedanekar
ScoreNet: Consistency-driven Framework with Multiside Information Fusion for Session-based Recommendation
piao tong,Qiao Liu,Zhipeng Zhang,Yuke Wang,Tian Lan
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-ranking System
Feng Gao,Xin Zhou,Yinning Shao,Yue Wu,Jiahua Gao,Yujian Ren,Fengyang Qi,Ruochen Deng,Jie Liu
Sub-Interest-Aware Representation Uniformity for Recommender System
Ruijia Ma,Yahong Lian,Chunyao Song
Exploiting Fine-grained Skip Behaviors for Microvideo Recommendation
Sanghyuck Lee,Sangkeun Park,Jaesung Lee
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
Jiuqiang Li
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
Fan Wang,Chaochao Chen,Weiming Liu,Minye Lei,Jintao Chen,Yuwen Liu,Xiaolin Zheng,Jianwei Yin
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Yihao Wang,Jiajie Su,Chaochao Chen,Meng Han,Chi Zhang,Jun Wang
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
Shuwei Gong,Yuting Liu,Yizhou Dang,Guibing Guo,Jianzhe Zhao,Xingwei Wang
CoT4Rec: Revealing User Preferences through Chain of Thought for Recommender Systems
Weiqi Yue,Yuyu Yin,Xin Zhang,Binbin Shi,Tingting Liang,Wan Jian
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Yingpeng Du,Zhu Sun,Ziyan Wang,Haoyan Chua,Jie Zhang,Yew-Soon Ong
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
Jinfeng Xu,Zheyu Chen,Shuo Yang,Jinze Li,Hewei Wang,Edith C. H. Ngai
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht,Xiuwen Gong,Guandong Xu
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Hourun Li,Yifan Wang,Zhiping Xiao,Jia Yang,Changling Zhou,Ming Zhang,Wei Ju
Enhancing Sequential Recommendation with Global Diffusion
Mingxuan Luo,Yang Li,Chen Lin
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan,Penghang Yu,Zhiyi Tan,Bingkun BAO,Guanming Lu
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye,Zhi Zheng,Yishan Shen,Tianshu Wang,Hengruo Zhang,Peijun Zhu,Runlong Yu,Kai Zhang,Hui Xiong
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Zhongjian Zhang,Mengmei Zhang,Xiao Wang,Lingjuan Lyu,Bo Yan,Junping Du,Chuan Shi
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Wenqiao Zhu,Lulu Wang,Jun Wu
Iterative Sparse Attention for Longsequence Recommendation
Guanyu Lin,Jinwei Luo,Yinfeng Li,Chen Gao,Qun Luo,Depeng Jin
DOGE: LLMs-Enhanced HyperKnowledge Graph Recommender for Multimodal Recommendation
Fanshen Meng,Zhenhua Meng,Ru Jin,Rongheng Lin,Budan Wu
Coherency Improved Explainable Recommendation via Large Language Model
Shijie Liu,Ruixin Ding,Weiha Lu,Jun Wang,Mo Yu,Xiaoming Shi,Wei Zhang
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun,Xiaochun Yang,Zhu Sun,Yan Wang,Bin Wang,Xinghua Qu
LLM-Powered Efficient User Simulator for Recommender System
Zijian Zhang,Shuchang Liu,Ziru Liu,Rui Zhong,Qingpeng Cai,Xiangyu Zhao,Chunxu Zhang,Qidong Liu,Peng Jiang
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
Zheng Hu,Zhe Li,Ziyun Jiao,Satoshi Nakagawa,Jiawen Deng,Shimin Cai,Tao Zhou,Fuji Ren
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Cheng Wu,Liang Su,Chaokun Wang,Shaoyun Shi,Ziqian Zhang,Ziyang Liu,wang Peng,wenjin wu,Peng Jiang
STAIR: Manipulating Collaborative and Multimodal Information for ECommerce Recommendation
Cong Xu,Yunhang He,Jun Wang,Wei Zhang
Towards -Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
Shicheng Wang,Hengzhu Tang,Li Gao,Shu Guo,Suqi Cheng,Junfeng Wang,Dawei Yin,Tingwen Liu,Lihong Wang
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar,Carlee Joe-Wong
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
Taeho Kim,Hyeongjun Jang,Juwon Yu,Taeuk Kim,Hyunyoung Lee,Jihui Im,Sang-Wook Kim
Contrastive Representation for Interactive Recommendation
Jingyu Li,Zhiyong Feng,Dongxiao He,Hongqi Chen,Qinghang Gao,Guoli Wu
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
Gong-Duo Zhang,Ruiqing Chen,Qian Zhao,Zhengwei WU,Fengyu Han,Huan-Yi Su,Ziqi Liu,Lihong Gu,Lin Zhou
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo,YiWen Chen,Yiqing Wu,Fuzhen Zhuang,deqing wang
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
Mingyang Lv,Xiangfeng Liu,yuanbo xu
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang,Zhiying Li,Hongxun Jiang
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
Taeri Kim,Jiho Heo,Hyunjoon Kim,SangWook Kim
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
Jing Jiazheng,Yinan Zhang,Chunyan Miao
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
Yuguang Liu,Yiyun Miao,Luyao Xia
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space
Jianxiang Zhu,Dandan Lai,Zhongcui Ma,Yaxin Peng
Auto Encoding Neural Process for Multiinterest Recommendation
Yiheng Jiang,yuanbo xu,Yongjian Yang,Funing Yang,Pengyang Wang,Chaozhuo Li
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei,Xinyue Zhang,Jingjing Li
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Yu-Hsuan Huang,Ling Lo,Hongxia Xie,Hong-Han Shuai,Wen-Huang Cheng
Towards Unbiased Information Extraction and Adaptation in CrossDomain Recommendation
Yibo Wang,Yingchun Jian,Wenhao Yang,Shiyin Lu,LEI SHEN,Bing Wang,Xiaoyi Zeng,Lijun Zhang
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
Wenwen Gong,Yangliao Geng,Dan Zhang,Yifan Zhu,Xiaolong Xu,Haolong Xiang,Amin Beheshti,Xuyun Zhang,Lianyong Qi
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems against Shilling Attacks
Lingyu Mu,Zhengxiao Liu,Zhitong Zhu,Zheng Lin
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Junjie Huang,Jiarui Qin,Yong Yu,Weinan Zhang
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
Zhiwei Li,Guodong Long,Tianyi Zhou,Jing Jiang,Chengqi Zhang
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
Yifang Qin,Jiaxuan Xie,Zhiping Xiao,Ming Zhang
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Ziyan Wang,Yingpeng Du,Zhu Sun,Haoyan Chua,Kaidong Feng,Wenya Wang,Jie Zhang
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 Chen,Can Wang
Counterfactual Task-Augmented MetaLearning for Cold-Start Sequence Recommendation
Zhiqiang Wang,Jiayi Pan,Xingwang Zhao,Jianqing Liang,Chenjiao Feng,Kaixuan Yao
Fuzzy Collaborative Reasoning
Huanhuan Yuan,Pengpeng Zhao,Jiaqing Fan,Junhua Fang,Guanfeng Liu,Victor S. Sheng
Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang,He Bai,Wenke Huang,Duantengchuan Li,Jian Wang,Bing Li
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan,Anjun Gao,Xingrui Yu,Pingfu Chao,Jun Song,Maohao Ran
更多接收论文详细信息可查阅以下链接：
https://aaai.org/wp-content/uploads/2025/01/AAAI-25-Oral-Talks-Schedule.pdf
https://aaai.org/wp-content/uploads/2025/01/AAAI-25-Poster-Schedule.pdf
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