ACM Transactions on Information Systems (TOIS) (2025)

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2025 Volume 43 Issue 1

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A Survey on Recommender Systems Using Graph Neural Network.
Vineeta Anand|Ashish Kumar Maurya
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Distributed Recommendation Systems: Survey and Research Directions.
Qiqi Cai|Jian Cao|Guandong Xu|Nengjun Zhu
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Post-Training Attribute Unlearning in Recommender Systems.
Chaochao Chen|Yizhao Zhang|Yuyuan Li|Jun Wang|Lianyong Qi|Xiaolong Xu|Xiaolin Zheng|Jianwei Yin
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Contrastive Clustering Learning for Multi-Behavior Recommendation.
Wei Lan|Guoxian Zhou|Qingfeng Chen|Wenguang Wang|Shirui Pan|Yi Pan|Shichao Zhang
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RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.
Weibin Liao|Yifan Zhu|Yanyan Li|Qi Zhang|Zhonghong Ou|Xuesong Li
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Revisiting Conversation Discourse for Dialogue Disentanglement.
Bobo Li|Hao Fei|Fei Li|Shengqiong Wu|Lizi Liao|Yinwei Wei|Tat-Seng Chua|Donghong Ji
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Explaining Recommendation Fairness from a User/Item Perspective.
Jie Li|Yongli Ren|Mark Sanderson|Ke Deng
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CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction.
Honghao Li|Lei Sang|Yi Zhang|Xuyun Zhang|Yiwen Zhang
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Relational Prompt-Based Pre-Trained Language Models for Social Event Detection.
Pu Li|Xiaoyan Yu|Hao Peng|Yantuan Xian|Linqin Wang|Li Sun|Jingyun Zhang|Philip S. Yu
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PEPT: Expert Finding Meets Personalized Pre-Training.
Qiyao Peng|Hongyan Xu|Yinghui Wang|Hongtao Liu|Cuiying Huo|Wenjun Wang
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AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction.
Lei Sang|Honghao Li|Yiwen Zhang|Yi Zhang|Yun Yang
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TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation.
Haoran Tang|Shiqing Wu|Xueyao Sun|Jun Zeng|Guandong Xu|Qing Li
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Online and Offline Evaluation in Search Clarification.
Leila Tavakoli|Johanne R. Trippas|Hamed Zamani|Falk Scholer|Mark Sanderson
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Multi-Agent Attacks for Black-Box Social Recommendations.
Shijie Wang|Wenqi Fan|Xiao-Yong Wei|Xiaowei Mei|Shanru Lin|Qing Li
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Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction.
Guolong Wang|Xun Wu|Xun Tu|Zhaoyuan Liu|Junchi Yan
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A Multifocal Graph-Based Neural Network Scheme for Topic Event Extraction.
Qizhi Wan|Changxuan Wan|Keli Xiao|Rong Hu|Dexi Liu|Guoqiong Liao|Xiping Liu|Yuxin Shuai
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Meta-Learning to Rank for Sparsely Supervised Queries.
Xuyang Wu|Ajit Puthenputhussery|Hongwei Shang|Changsung Kang|Yi Fang
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Learning Robust Sequential Recommenders through Confident Soft Labels.
Shiguang Wu|Xin Xin|Pengjie Ren|Zhumin Chen|Jun Ma|Maarten de Rijke|Zhaochun Ren
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Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge.
Nuo Xu|Pinghui Wang|Junzhou Zhao|Feiyang Sun|Lin Lan|Jing Tao|Li Pan|Xiaohong Guan
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LTP-MMF: Toward Long-Term Provider Max-Min Fairness under Recommendation Feedback Loops.
Chen Xu|Xiaopeng Ye|Jun Xu|Xiao Zhang|Weiran Shen|Ji-Rong Wen
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Variational Type Graph Autoencoder for Denoising on Event Recommendation.
Shuo Zhang|Xiangwu Meng|Yujie Zhang
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Feature-Enhanced Neural Collaborative Reasoning for Explainable Recommendation.
Xiaoyu Zhang|Shaoyun Shi|Yishan Li|Weizhi Ma|Peijie Sun|Min Zhang
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Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation.
Zeyang Zhang|Xin Wang|Haibo Chen|Haoyang Li|Wenwu Zhu
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Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems.
Yi Zhang|Yiwen Zhang|Lei Sang|Victor S. Sheng
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Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction.
Qi Zhou|Peng Zhang|Hansu Gu|Tun Lu|Ning Gu
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Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs.
Xi Zhu|Fake Lin|Ziwei Zhao|Tong Xu|Xiangyu Zhao|Zikai Yin|Xueying Li|Enhong Chen

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2025 Volume 43 Issue 2

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When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs.
Marialena Bevilacqua|Kezia Oketch|Ruiyang Qin|Will Stamey|Xinyuan Zhang|Yi Gan|Kai Yang|Ahmed Abbasi
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Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability.
Nuo Chen|Jiqun Liu|Hanpei Fang|Yuankai Luo|Tetsuya Sakai|Xiao-Ming Wu
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A Noise-Oriented and Redundancy-Aware Instance Selection Framework.
Washington Cunha|Alejandro Moreo Fernández|Andrea Esuli|Fabrizio Sebastiani|Leonardo Rocha|Marcos André Gonçalves
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Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.
Yizhou Dang|Yuting Liu|Enneng Yang|Guibing Guo|Linying Jiang|Jianzhe Zhao|Xingwei Wang
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Federated Recommender System Based on Diffusion Augmentation and Guided Denoising.
Yicheng Di|Hongjian Shi|Xiaoming Wang|Ruhui Ma|Yuan Liu
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LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model.
Hongfei Ge|Yuanchun Jiang|Jianshan Sun|Kun Yuan|Yezheng Liu
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CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
Jiafeng Guo|Yinqiong Cai|Keping Bi|Yixing Fan|Wei Chen|Ruqing Zhang|Xueqi Cheng
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
Lei Huang|Weijiang Yu|Weitao Ma|Weihong Zhong|Zhangyin Feng|Haotian Wang|Qianglong Chen|Weihua Peng|Xiaocheng Feng|Bing Qin|Ting Liu
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Certified Unlearning for Federated Recommendation.
Thanh Trung Huynh|Trong Bang Nguyen|Thanh Toan Nguyen|Phi Le Nguyen|Hongzhi Yin|Quoc Viet Hung Nguyen|Thanh Tam Nguyen
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A Knowledge Graph Embedding Model for Answering Factoid Entity Questions.
Parastoo Jafarzadeh|Faezeh Ensan|Mahdiyar Ali Akbar Alavi|Fattane Zarrinkalam
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How Can Recommender Systems Benefit from Large Language Models: A Survey.
Jianghao Lin|Xinyi Dai|Yunjia Xi|Weiwen Liu|Bo Chen|Hao Zhang|Yong Liu|Chuhan Wu|Xiangyang Li|Chenxu Zhu|Huifeng Guo|Yong Yu|Ruiming Tang|Weinan Zhang
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Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models.
Fan Liu|Yaqi Liu|Huilin Chen|Zhiyong Cheng|Liqiang Nie|Mohan S. Kankanhalli
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Building a Coding Assistant via the Retrieval-Augmented Language Model.
Xinze Li|Hanbin Wang|Zhenghao Liu|Shi Yu|Shuo Wang|Yukun Yan|Yukai Fu|Yu Gu|Ge Yu
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CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.
Yuanjie Lyu|Zhiyu Li|Simin Niu|Feiyu Xiong|Bo Tang|Wenjin Wang|Hao Wu|Huanyong Liu|Tong Xu|Enhong Chen
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FIT-RAG: Black-Box RAG with Factual Information and Token Reduction.
Yuren Mao|Xuemei Dong|Wenyi Xu|Yunjun Gao|Bin Wei|Ying Zhang
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Denoising Alignment with Large Language Model for Recommendation.
Yingtao Peng|Chen Gao|Yu Zhang|Tangpeng Dan|Xiaoyi Du|Hengliang Luo|Yong Li|Xiaofeng Meng
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Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language.
Zekai Qu|Ruobing Xie|Chaojun Xiao|Yuan Yao|Zhiyuan Liu|Fengzong Lian|Zhanhui Kang|Jie Zhou
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Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning.
Ying Sun|Yang Ji|Hengshu Zhu|Fuzhen Zhuang|Qing He|Hui Xiong
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Automated Disentangled Sequential Recommendation with Large Language Models.
Xin Wang|Hong Chen|Zirui Pan|Yuwei Zhou|Chaoyu Guan|Lifeng Sun|Wenwu Zhu
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Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1.
Wenjie Wang|Zheng Liu|Fuli Feng|Zhicheng Dou|Qingyao Ai|Grace Hui Yang|Defu Lian|Lu Hou|Aixin Sun|Hamed Zamani|Donald Metzler|Maarten de Rijke
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Privacy-Preserving Sequential Recommendation with Collaborative Confusion.
Wei Wang|Yujie Lin|Pengjie Ren|Zhumin Chen|Tsunenori Mine|Jianli Zhao|Qiang Zhao|Moyan Zhang|Xianye Ben|Yujun Li
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MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation.
Hao Wang|Mingjia Yin|Luankang Zhang|Sirui Zhao|Enhong Chen
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User Behavior Simulation with Large Language Model-based Agents.
Lei Wang|Jingsen Zhang|Hao Yang|Zhiyuan Chen|Jiakai Tang|Zeyu Zhang|Xu Chen|Yankai Lin|Hao Sun|Ruihua Song|Xin Zhao|Jun Xu|Zhicheng Dou|Jun Wang|Ji-Rong Wen
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Graph Augmentation Empowered Contrastive Learning for Recommendation.
Lixiang Xu|Yusheng Liu|Tong Xu|Enhong Chen|Yuanyan Tang
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PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
Wei Yuan|Chaoqun Yang|Liang Qu|Quoc Viet Hung Nguyen|Guanhua Ye|Hongzhi Yin
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SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search.
Xu Zhang|Zexu Lin|Xiaoyu Hu|Jianlei Wang|Wenpeng Lu|Deyu Zhou
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Self Data Augmentation for Open Domain Question Answering.
Qin Zhang|Mengqi Zheng|Shangsi Chen|Han Liu|Meng Fang
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Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions.
Leping Zhang|Xiao Zhang|Yichao Wang|Xuan Li|Zhenhua Dong|Jun Xu
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MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations.
Dan Zhang|Shaojie Zheng|Yifan Zhu|Huihui Yuan|Jibing Gong|Jie Tang

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2025 Volume 43 Issue 3

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Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review.
Michiel P. Bron|Peter G. M. van der Heijden|Ad Feelders|Arno Siebes
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Rebalancing Discriminative Responses for Knowledge Tracing.
Jiajun Cui|Hong Qian|Chanjin Zheng|Lu Wang|Mo Yu|Wei Zhang
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Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities.
Yang Deng|Lizi Liao|Wenqiang Lei|Grace Hui Yang|Wai Lam|Tat-Seng Chua
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Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation.
Linmei Hu|Xinyu Zhang|Dandan Song|Changzhi Zhou|Hongyu He|Liqiang Nie
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From Matching to Generation: A Survey on Generative Information Retrieval.
Xiaoxi Li|Jiajie Jin|Yujia Zhou|Yuyao Zhang|Peitian Zhang|Yutao Zhu|Zhicheng Dou
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Contrastive Modality-Disentangled Learning for Multimodal Recommendation.
Xixun Lin|Rui Liu|Yanan Cao|Lixin Zou|Qian Li|Yongxuan Wu|Yang Liu|Dawei Yin|Guandong Xu
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Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation.
Dongyang Li|Jianshan Sun|Chongming Gao|Fuli Feng|Kun Yuan
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Structure-Aware Conversational Legal Case Retrieval.
Bulou Liu|Yiran Hu|Qingyao Ai|Yueyue Wu|Yiqun Liu|Chenliang Li|Fan Zhang|Weixing Shen|Chong Chen|Qi Tian
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Augmentation with Neighboring Information for Conversational Recommendation.
Yuanxing Liu|Jiahuan Pei|Weinan Zhang|Ming Li|Wanxiang Che|Maarten de Rijke
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A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation.
Qidong Liu|Zhaopeng Qiu|Xiangyu Zhao|Xian Wu|Zijian Zhang|Tong Xu|Feng Tian
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ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation.
Zunlong Liu|Yang Xu|Gao Cong|Lei Zhu|Qinjun Qiu|Huaxiang Zhang
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CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models.
Zirui Liu|Hailin Zhang|Boxuan Chen|Zihan Jiang|Yikai Zhao|Yangyu Tao|Tong Yang|Bin Cui
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Reinforced Prompt Personalization for Recommendation with Large Language Models.
Wenyu Mao|Jiancan Wu|Weijian Chen|Chongming Gao|Xiang Wang|Xiangnan He
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Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios.
Yixin Su|Wei Jiang|Fangquan Lin|Cheng Yang|Sarah M. Erfani|Junhao Gan|Yunxiang Zhao|Ruixuan Li|Rui Zhang
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A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
Hung Vinh Tran|Tong Chen|Nguyen Quoc Viet Hung|Zi Huang|Lizhen Cui|Hongzhi Yin
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Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review.
Hao Wang|Bin Guo|Yating Zeng|Mengqi Chen|Yasan Ding|Ying Zhang|Lina Yao|Zhiwen Yu
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Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction.
Zihan Wang|Hanbing Wang|Pengjie Ren|Zhumin Chen|Maarten de Rijke|Zhaochun Ren
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Ownership Verification for Federated Recommendation.
Enyue Yang|Weike Pan|Lixin Fan|Hanlin Gu|Zhitao Li|Qiang Yang|Zhong Ming
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The In-Situ Effect of Offensive Ads on Search Engine Users.
Elad Yom-Tov|Liat Levontin
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MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning.
Li Yu|Jianyong Hu|Qihan Du|Xi Niu
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Domain Counterfactual Data Augmentation for Explainable Recommendation.
Yi Yu|Kazunari Sugiyama|Adam Jatowt
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Vague Preference Policy Learning for Conversational Recommendation.
Gangyi Zhang|Chongming Gao|Wenqiang Lei|Xiaojie Guo|Shijun Li|Hongshen Chen|Zhuozhi Ding|Sulong Xu|Lingfei Wu
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Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation.
Jinyu Zhang|Chao Li|Zhongying Zhao
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Review-Enhanced Universal Sequence Representation Learning for Recommender Systems.
Junjie Zhang|Wenqi Sun|Yupeng Hou|Wayne Xin Zhao|Ji-Rong Wen
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KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
Haonan Zhang|Dongxia Wang|Zhu Sun|Yanhui Li|Youcheng Sun|Huizhi Liang|Wenhai Wang
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A Unified Prompt-aware Framework for Personalized Search and Explanation Generation.
Haobo Zhang|Qiannan Zhu|Zhicheng Dou
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MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation.
Chengde Zhang|Zihan Zhang|Jiaying Huang|Yan Liu|Dawei Jin|Xia Xiao|Zuwu Shen
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Symmetric Graph Contrastive Learning against Noisy Views for Recommendation.
Chu Zhao|Enneng Yang|Yuliang Liang|Jianzhe Zhao|Guibing Guo|Xingwei Wang

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2025 Volume 43 Issue 4

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The LambdaGap Framework for Precision-Oriented Ranking.
Ramon Adàlia|Gemma Sanjuan|Tomàs Margalef|Ismael Zamora
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Efficient Multi-task Prompt Tuning for Recommendation.
Ting Bai|Le Huang|Yue Yu|Cheng Yang|Cheng Hou|Zhe Zhao|Chuan Shi
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Personality Dialogue Agent Based on Personality Description and Conversation History.
Yuxing Chu|Mingxu Sun|Ke Huang|Haokun Geng|Yanyu Zhang|Lili Zhang|Menghua Zhang
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Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
Xu Huang|Jianxun Lian|Yuxuan Lei|Jing Yao|Defu Lian|Xing Xie
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HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
Shirui Hu|Weichang Wu|Zuoli Tang|Zhaoxin Huan|Lin Wang|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li
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Geometric-Augmented Self-Distillation for Graph-Based Recommendation.
Meng Jian|Tuo Wang|Zhuoyang Xia|Ge Shi|Richang Hong|Lifang Wu
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Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
Xurong Liang|Tong Chen|Wei Yuan|Hongzhi Yin
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Enhancing Sequential Personalized Product Search with External Out-of-sequence Knowledge.
Jiongnan Liu|Zhicheng Dou|Jian-Yun Nie|Zhenlin Chen|Guoyu Tang|Sulong Xu|Ji-Rong Wen
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Generating Clarifying Questions for Conversational Legal Case Retrieval without External Knowledge.
Bulou Liu|Yiran Hu|Qingyao Ai|Yiqun Liu|Yueyue Wu|Chenliang Li|Weixing Shen
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Preference Logical Reasoning with Preference Operators for Explainable Recommendations.
Fei Li|Enneng Yang|Guibing Guo|Linying Jiang|Jianzhe Zhao|Xingwei Wang
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Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART.
Claudio Lucchese|Franco Maria Nardini|Salvatore Orlando|Raffaele Perego|Alberto Veneri
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Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation.
Ziang Lu|Lei Guo|Xu Yu|Zhiyong Cheng|Xiaohui Han|Lei Zhu
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Query Performance Prediction Using Relevance Judgments Generated by Large Language Models.
Chuan Meng|Negar Arabzadeh|Arian Askari|Mohammad Aliannejadi|Maarten de Rijke
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Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation.
Shutong Qiao|Wei Zhou|Junhao Wen|Chen Gao|Qun Luo|Peixuan Chen|Yong Li
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PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.
Yifang Qin|Wei Ju|Yiyang Gu|Ziyue Qiao|Zhiping Xiao|Ming Zhang
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CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling.
Shulan Ruan|Huijie Liu|Zhao Chen|Bin Feng|Kun Zhang|Caleb Chen Cao|Enhong Chen|Lei Chen
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QUADEN: Discovering Latent Neighbors for Sparse Users and Items across Interaction Quadrants in Recommender System.
Nakarin Sritrakool|Saranya Maneeroj|Atsuhiro Takasu
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New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark.
Tairan Wang|Xiuying Chen|Qingqing Zhu|Taicheng Guo|Shen Gao|Zhiyong Lu|Xin Gao|Xiangliang Zhang
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End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference.
Jinguang Wang|Shengsheng Qian|Jun Hu|Wenxiang Dong|Xudong Huang|Richang Hong
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Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation.
Huili Wang|Chuhan Wu|Yongfeng Huang|Tao Qi
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Hierarchical Gating Network for Cross-Domain Sequential Recommendation.
Shuliang Wang|Jiabao Zhu|Yi Wang|Chen Ma|Xin Zhao|Yansen Zhang|Ziqiang Yuan|Sijie Ruan
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Coherence-guided Preference Disentanglement for Cross-domain Recommendations.
Zongyi Xiang|Yan Zhang|Lixin Duan|Hongzhi Yin|Ivor W. Tsang
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How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching.
Nuo Xu|Pinghui Wang|Zi Liang|Junzhou Zhao|Xiaohong Guan
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User Invariant Preference Learning for Multi-Behavior Recommendation.
Mingshi Yan|Zhiyong Cheng|Fan Liu|Yingda Lyu|Yahong Han
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HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation.
Meng Yuan|Zhao Zhang|Wei Chen|Chu Zhao|Tong Cai|Deqing Wang|Rui Liu|Fuzhen Zhuang
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Uniform Graph Pre-training and Prompting for Transferable Recommendation.
Qing Yu|Lixin Zou|Xiangyang Luo|Xiangyu Zhao|Chenliang Li
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Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights.
Chuang Zhao|Hui Tang|Hongke Zhao|Xiaomeng Li

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2025 Volume 43 Issue 5

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Enhancing ID-based Recommendation with Large Language Models.
Lei Chen|Chen Gao|Xiaoyi Du|Hengliang Luo|Depeng Jin|Yong Li|Meng Wang
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Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering.
Yankai Chen|Yue Que|Xinni Zhang|Chen Ma|Irwin King
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Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data.
Zhiang Dong|Liya Hu|Jingyuan Chen|Zhihua Wang|Fei Wu
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A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
Zichuan Fu|Xiangyang Li|Chuhan Wu|Yichao Wang|Kuicai Dong|Xiangyu Zhao|Mengchen Zhao|Huifeng Guo|Ruiming Tang
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Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure.
Xiaoqiang Gui|Guoxian Yu|Jun Wang|Shuguang Han|Qingzhong Li|Yongqing Zheng|Wei Wang
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Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-domain Recommendation.
Lei Guo|Chenlong Song|Feng Guo|Xiaohui Han|Xiaojun Chang|Lei Zhu
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TCKT: Tree-Based Cross-domain Knowledge Transfer for Next POI Cold-Start Recommendation.
Xi He|Yilin Liu|Weikang He|Xin Xing|Xingyu Lu|Yanbing Liu
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Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network.
Erkang Jing|Yezheng Liu|Yidong Chai|Shuo Yu|Longshun Liu|Yuanchun Jiang|Yang Wang
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WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System.
Hanyu Lai|Xiao Liu|Hao Yu|Yifan Xu|Iat Long Iong|Shuntian Yao|Aohan Zeng|Zhengxiao Du|Yuxiao Dong|Jie Tang
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Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation.
Zhenghong Lin|Yanchao Tan|Jiamin Chen|Hengyu Zhang|Chaochao Chen|Shiping Wang|Carl Yang
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Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction.
Xiaodong Lu|Mingzhe Liu|Tongyu Zhu|Leilei Sun|Jibin Wang|Weifeng Lv|Yikun Ban|Deqing Wang
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RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.
Sichun Luo|Bowei He|Haohan Zhao|Wei Shao|Yanlin Qi|Yinya Huang|Aojun Zhou|Yuxuan Yao|Zongpeng Li|Yuanzhang Xiao|Mingjie Zhan|Linqi Song
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Debiased Cognition Representation Learning for Knowledge Tracing.
Xiangwei Lv|Guifeng Wang|Jingyuan Chen|Hejian Su|Zhiang Dong|Yumeng Zhu|Beishui Liao|Fei Wu
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HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks.
Jingwei Ma|Jiahui Wen|Lei Zhu|Mingyang Zhong|Yang Xu|Lei Guo|Hongzhi Yin
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Light Dynamic Graph Learning on Temporal Networks.
Zhiqiang Pan|Chen Gao|Fei Cai|Honghui Chen|Yong Li
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Denoising Heterogeneous Graph Pre-training Framework for Recommendation.
Lei Sang|Yu Wang|Yiwen Zhang|Xindong Wu
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Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions.
Weihang Su|Qingyao Ai|Yueyue Wu|Anzhe Xie|Changyue Wang|Yixiao Ma|Haitao Li|Zhijing Wu|Yiqun Liu|Min Zhang
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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|Lixin Zou|Chenliang Li
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Incorporating Cognitive Abilities into Web Search Re-ranking.
Tung Thanh Vuong|Pritom Kumar Das|Tuukka Ruotsalo
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Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2.
Wenjie Wang|Zheng Liu|Fuli Feng|Zhicheng Dou|Qingyao Ai|Grace Hui Yang|Defu Lian|Lu Hou|Aixin Sun|Hamed Zamani|Donald Metzler|Maarten de Rijke
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Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding.
Junmei Wang|Fengjing Zhang|Xiadan Chen|Puyu He|Ellen Anne Huang|Jimmy Xiangji Huang
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Cold-start User Recommendation via Heterogeneous Domain Adaptation.
Hanrui Wu|Yanxin Wu|Nuosi Li|Jia Zhang|Yonghui Xu|Michael K. Ng|Jinyi Long
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TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification.
Lianwei Wu|Kang Wang|Kunlin Nie|Sensen Guo|Chao Gao|Zhen Wang|Shudong Li
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ID-centric Pre-training for Recommendation.
Yiqing Wu|Ruobing Xie|Zhao Zhang|Xu Zhang|Fuzhen Zhuang|Leyu Lin|Zhanhui Kang|Zhulin An|Yongjun Xu
doi dblp
Including Co-Relation via Concatenate Operator for Static and Temporal Knowledge Graph Embedding.
Likang Xiao|Richong Zhang|Junfan Chen|Lei Zhang
doi dblp
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models.
Haoran Xin|Ying Sun|Chao Wang|Hui Xiong
doi dblp
AgentTOD: A Task-Oriented Dialogue Agent with a Flexible and Adaptive API Calling Paradigm.
Heng-Da Xu|Xian-Ling Mao|Fanshu Sun|Tian-Yi Che|Chun Xu|Heyan Huang
doi dblp
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing.
Qi Yang|Aleksandr Farseev|Marlo Ongpin|Alfred Huang|Yu-Yi Chu-Farseeva|Da-Min You|Kirill Lepikhin|Sergey I. Nikolenko
doi dblp
Neural Recommendation Reasoning with Logic Rules.
Jing Yao|Xiting Wang|Jianxun Lian|Xiaoyuan Yi|Xing Xie
doi dblp
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.
Junjie Zhang|Ruobing Xie|Yupeng Hou|Xin Zhao|Leyu Lin|Ji-Rong Wen
doi dblp
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation.
Jiajie Zhu|Yan Wang|Feng Zhu|Zhu Sun

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2025 Volume 43 Issue 6

doi dblp
Compressing Integer Lists with Contextual Arithmetic Trits.
Yann Barsamian|André Chailloux
doi dblp
Causality-Inspired Fair Representation Learning for Multimodal Recommendation.
Weixin Chen|Li Chen|Yongxin Ni|Yuhan Zhao
doi dblp
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation.
Yuzhe Chen|Jie Cao|Youquan Wang|Jia Wu|Huanhuan Chen|Guandong Xu
doi dblp
Deep Hashing with Semantic Hash Centers for Image Retrieval.
Li Chen|Rui Liu|Yuxiang Zhou|Xudong Ma|Yong Chen|Dell Zhang
doi dblp
Position-aware Graph Transformer for Recommendation.
Jiajia Chen|Jiancan Wu|Jiawei Chen|Chongming Gao|Yong Li|Xiang Wang
doi dblp
Towards Goal-oriented Intelligent Tutoring Systems in Online Education.
Yang Deng|Zifeng Ren|An Zhang|Tat-Seng Chua
doi dblp
Causal Inference for Multi-Criteria Rating Recommender Systems.
Zhihao Guo|Peng Song|Chenjiao Feng|Kaixuan Yao|Jiye Liang
doi dblp
Causal Time-aware News Recommendations with Large Language Models.
Sirui Huang|Qian Li|Haoran Yang|Dianer Yu|Qing Li|Guandong Xu
doi dblp
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation.
Wenjun Jiang|Song Li|Xueqi Li|Kenli Li|Jie Wu
doi dblp
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs.
Xiaopeng Li|Lixin Su|Pengyue Jia|Suqi Cheng|Junfeng Wang|Dawei Yin|Xiangyu Zhao
doi dblp
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems.
Kezhi Lu|Jie Lu|Hanshi Xu|Kairui Guo|Qian Zhang|Hua Lin|Mark Grosser|Yi Zhang|Guangquan Zhang
doi dblp
A Survey of Conversational Search.
Fengran Mo|Kelong Mao|Ziliang Zhao|Hongjin Qian|Haonan Chen|Yiruo Cheng|Xiaoxi Li|Yutao Zhu|Zhicheng Dou|Jian-Yun Nie
doi dblp
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation.
Lei Sang|Maohao Huang|Yu Wang|Yiwen Zhang|Xindong Wu
doi dblp
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation.
Jiajie Su|Chaochao Chen|Yihao Wang|Weiming Liu|Yuyuan Li|Tao Wang|Zhigang Li|Xiaolin Zheng|Jianwei Yin
doi dblp
Debiased Recommendation via Wasserstein Causal Balancing.
Hao Wang|Zhichao Chen|Honglei Zhang|Zhengnan Li|Licheng Pan|Haoxuan Li|Mingming Gong
doi dblp
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems.
Fan Wang|Lianyong Qi|Weiming Liu|Bowen Yu|Jintao Chen|Yanwei Xu
doi dblp
A Novel Benford's Law-Driven Approach for Detecting Machine-Generated Text.
Zhenhua Wang|Chen Zhang|Ming Ren
doi dblp
C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variables.
Xiaolong Xu|Hongsheng Dong|Haolong Xiang|Xiyuan Hu|Xiaoyong Li|Xiaoyu Xia|Xuyun Zhang|Lianyong Qi|Wanchun Dou
doi dblp
Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation.
Hangtong Xu|Yuanbo Xu|Chaozhuo Li|Fuzhen Zhuang
doi dblp
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems.
Lina Yao|Julian J. McAuley|Yongfeng Zhang|Kun Zhang
doi dblp
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
Wei Yuan|Chaoqun Yang|Guanhua Ye|Tong Chen|Quoc Viet Hung Nguyen|Hongzhi Yin
doi dblp
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks.
Dianer Yu|Qian Li|Huan Huo|Guandong Xu
doi dblp
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems.
Shuo Yu|Yicong Li|Shuo Wang|Tao Tang|Qiang Zhang|Jingjing Zhou|Ivan Lee|Feng Xia
doi dblp
A Survey on the Memory Mechanism of Large Language Model-based Agents.
Zeyu Zhang|Quanyu Dai|Xiaohe Bo|Chen Ma|Rui Li|Xu Chen|Jieming Zhu|Zhenhua Dong|Ji-Rong Wen
doi dblp
Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations.
Qian Zhang|Shoujin Wang|Longbing Cao|Defu Lian|Haibo Zhang|Wenpeng Lu
doi dblp
Mitigating Propensity Bias of Large Language Models for Recommender Systems.
Guixian Zhang|Guan Yuan|Debo Cheng|Lin Liu|Jiuyong Li|Shichao Zhang
doi dblp
Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation.
Xuhao Zhao|Yanmin Zhu|Chunyang Wang|Mengyuan Jing|Wenze Ma|Jiadi Yu|Feilong Tang