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ACM Transactions on Information Systems 2024: all accepted papers

131 papers · page 1 of 2 · the most cited first · ← ACM Transactions on Information Systems 2024

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  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma et al.2,379 citations · our summary
  2. How Can Recommender Systems Benefit from Large Language Models: A Survey ↗Jianghao Lin, Xinyi Dai, Yunjia Xi et al.233 citations
  3. Causal Inference in Recommender Systems: A Survey and Future Directions ↗Chen Gao, Yu Zheng, Wenjie Wang et al.147 citations
  4. Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach ↗Junjie Zhang, Ruobing Xie, Yupeng Hou et al.135 citations
  5. CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models ↗Yuanjie Lyu, Zhiyu Li, Simin Niu et al.104 citations
  6. Federated Recommender System Based on Diffusion Augmentation and Guided Denoising ↗Yicheng Di, Hongjian Shi, Xiaoming Wang et al.101 citations
  7. A Survey on Recommender Systems Using Graph Neural Network ↗Vineeta Anand, Ashish Kumar Maurya78 citations
  8. Unsupervised Social Bot Detection via Structural Information Theory ↗Hao Peng, Jingyun Zhang, Xiang Huang et al.74 citations
  9. Contrastive Clustering Learning for Multi-Behavior Recommendation ↗Wei Lan, Guoxian Zhou, Qingfeng Chen et al.64 citations
  10. User Behavior Simulation with Large Language Model-based Agents ↗Lei Wang, Jingsen Zhang, Hao Yang et al.57 citations
  11. MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation ↗Yunshan Ma, Yingzhi He, Xiang Wang et al.42 citations
  12. Privacy-preserving Cross-domain Recommendation with Federated Graph Learning ↗Changxin Tian, Yuexiang Xie, Xu Chen et al.41 citations
  13. Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs ↗Xi Zhu, Fake Lin, Ziwei Zhao et al.36 citations
  14. Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines ↗John Patrick Lalor, Ahmed Abbasi, Kezia Oketch et al.33 citations
  15. A Unified Framework for Multi-Domain CTR Prediction via Large Language Models ↗Zichuan Fu, Xiangyang Li, Chuhan Wu et al.31 citations
  16. Collaborative Sequential Recommendations via Multi-view GNN-transformers ↗Tianze Luo, Yong Liu, Sinno Jialin Pan31 citations
  17. Counterfactual Explanation for Fairness in Recommendation ↗Xiangmeng Wang, Qian Li, Dianer Yu et al.31 citations
  18. Average User-Side Counterfactual Fairness for Collaborative Filtering ↗Pengyang Shao, Le Wu, Kun Zhang et al.30 citations
  19. When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs ↗Marialena Bevilacqua, Kezia Oketch, Ruiyang Qin et al.30 citations
  20. RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation ↗Sichun Luo, Bowei He, Haohan Zhao et al.27 citations
  21. Post-Training Attribute Unlearning in Recommender Systems ↗Chaochao Chen, Yizhao Zhang, Yuyuan Li et al.26 citations
  22. A Noise-Oriented and Redundancy-Aware Instance Selection Framework ↗Washington Luiz Miranda da Cunha, Alejandro Moreo, Andrea Esuli et al.23 citations
  23. FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services ↗Wei Yuan, Chaoqun Yang, Guanhua Ye et al.23 citations
  24. RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation ↗Weibin Liao, Yifan Zhu, Yanyan Li et al.23 citations
  25. MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation ↗Jingmin An, Ming Yu Gao, Jiafu Tang22 citations
  26. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models ↗Fan Liu, Yaqi Liu, Huilin Chen et al.22 citations
  27. ELAKT: Enhancing Locality for Attentive Knowledge Tracing ↗Yanjun Pu, Fang Liu, Rongye Shi et al.21 citations
  28. FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning ↗Fei Liu, Chenyang Bu, Haotian Zhang et al.21 citations
  29. Graph Augmentation Empowered Contrastive Learning for Recommendation ↗Lixiang Xu, Yusheng Liu, Tong Xu et al.21 citations
  30. One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems ↗Zuoli Tang, Zhaoxin Huan, Zihao Li et al.21 citations
  31. PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System ↗Wei Yuan, Chaoqun Yang, Liang Qu et al.21 citations
  32. Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion ↗Lijian Chen, Wei Yuan, Tong Chen et al.20 citations
  33. FIT-RAG: Black-Box RAG with Factual Information and Token Reduction ↗Yuren Mao, Xuemei Dong, Wenyi Xu et al.20 citations
  34. Certified Unlearning for Federated Recommendation ↗Thanh Trung Huynh, Trong Bang Nguyen, Quoc Viet Hung Nguyen et al.19 citations
  35. Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant ↗Alexander Frummet, Alessandro Speggiorin, David Elsweiler et al.19 citations
  36. MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation ↗Hao Liu, Lei Guo, Lei Zhu et al.19 citations
  37. DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs ↗Xing Tang, Ling Chen, Hongyu Shi et al.18 citations
  38. Deep Coupling Network for Multivariate Time Series Forecasting ↗Kun Yi, Qi Zhang, Hui He et al.18 citations
  39. Denoising Alignment with Large Language Model for Recommendation ↗Yingtao Peng, Chen Gao, Yu Zhang et al.18 citations
  40. Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation ↗Zeyang Zhang, Xin Wang, Haibo Chen et al.18 citations
  41. LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model ↗Hongfei Ge, Yuanchun Jiang, Jianshan Sun et al.18 citations
  42. Personality-affected Emotion Generation in Dialog Systems ↗Zhiyuan Wen, Jiannong Cao, Jiaxing Shen et al.18 citations
  43. TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation ↗Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.18 citations
  44. Denoising Heterogeneous Graph Pre-training Framework for Recommendation ↗Lei Sang, Yu Wang, Yiwen Zhang et al.17 citations
  45. On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems ↗Xiaocong Chen, Siyu Wang, Julian McAuley et al.17 citations
  46. Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval ↗Tianshi Wang, Fengling Li, Lei Zhu et al.16 citations
  47. MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation ↗Shuzhe Li, Wei Chen, Bin Wang et al.16 citations
  48. Automated Disentangled Sequential Recommendation with Large Language Models ↗Xin Wang, Hong Chen, Zirui Pan et al.15 citations
  49. Building a Coding Assistant via the Retrieval-Augmented Language Model ↗Xinze Li, Hanbin Wang, Zhenghao Liu et al.15 citations
  50. City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model ↗Ke Sun, Chenliang Li, Tieyun Qian15 citations
  51. Cluster-Based Graph Collaborative Filtering ↗Fan Liu, Shuai Zhao, Zhiyong Cheng et al.15 citations
  52. Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning ↗Ying Qiu Sun, Yang Ji, Hengshu Zhu et al.15 citations
  53. Relational Prompt-Based Pre-Trained Language Models for Social Event Detection ↗Pu Li, Xiaoyan Yu, Hao Peng et al.15 citations
  54. TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation ↗Haoran Tang, Shiqing Wu, Xueyao Sun et al.15 citations
  55. Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching ↗Hangkun Shi, Meng Liu, Xiaoxuan Mu et al.14 citations
  56. Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling ↗Jie Zou, Aixin Sun, Cheng Long et al.14 citations
  57. Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation ↗Xingrui Zhuo, Shengsheng Qian, Jun Hu et al.13 citations
  58. Our Model Achieves Excellent Performance on MovieLens: What Does It Mean? ↗Yu-Chen Fan, Yitong Ji, Jie Zhang et al.13 citations
  59. Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems ↗Yi Jun Zhang, Yiwen Zhang, Lei Sang et al.13 citations
  60. Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction ↗Qizhi Wan, Changxuan Wan, Keli Xiao et al.13 citations
  61. AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction ↗Lei Sang, Honghao Li, Yiwen Zhang et al.12 citations
  62. Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences ↗Yizhou Dang, Yuting Liu, Enneng Yang et al.12 citations
  63. Listwise Generative Retrieval Models via a Sequential Learning Process ↗Yubao Tang, Ruqing Zhang, Jiafeng Guo et al.12 citations
  64. ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation ↗Siyi Lin, Sheng Zhou, Jiawei Chen et al.12 citations
  65. Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering ↗Enyue Yang, Weike Pan, Qiang Yang et al.11 citations
  66. TCKT: Tree-Based Cross-domain Knowledge Transfer for Next POI Cold-Start Recommendation ↗Xi Qin He, Yilin Liu, Weikang He et al.11 citations
  67. Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework ↗Zhidan Wang, Lixin Zou, Chenliang Li et al.11 citations
  68. A Knowledge Graph Embedding Model for Answering Factoid Entity Questions ↗Parastoo Jafarzadeh, Faezeh Ensan, Mahdiyar Ali Akbar Alavi et al.10 citations
  69. CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval ↗Jiafeng Guo, Yinqiong Cai, Keping Bi et al.10 citations
  70. Enhancing ID-based Recommendation with Large Language Models ↗Lei Chen, Chen Gao, Xiaoyi Du et al.9 citations
  71. MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations ↗Dan Zhang, Shaojie Zheng, Yifan Zhu et al.9 citations
  72. Soft Contrastive Sequential Recommendation ↗Yabin Zhang, Zhenlei Wang, Wenhui Yu et al.9 citations
  73. Bridging Dense and Sparse Maximum Inner Product Search ↗Sebastian Bruch, Franco Maria Nardini, Amir Ingber et al.8 citations
  74. Intent-Oriented Dynamic Interest Modeling for Personalized Web Search ↗Yutong Bai, Yujia Zhou, Zhicheng Dou et al.8 citations
  75. On Elastic Language Models ↗Chen Zhang, Benyou Wang, Dawei Song8 citations
  76. Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph ↗Rui Zha, Ying Qiu Sun, Chuan Qin et al.8 citations
  77. A Blueprint of IR Evaluation Integrating Task and User Characteristics ↗Kalervo Järvelin, Eero Sormunen7 citations
  78. CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction ↗Honghao Li, Lei Sang, Yi Jun Zhang et al.7 citations
  79. Distributional Fairness-aware Recommendation ↗Hao Yang, Xian Wei Wu, Zhaopeng Qiu et al.7 citations
  80. Diversifying Sequential Recommendation with Retrospective and Prospective Transformers ↗Chaoyu Shi, Pengjie Ren, Dongjie Fu et al.7 citations
  81. Improving Semi-Supervised Text Classification with Dual Meta-Learning ↗Shujie Li, Guanghu Yuan, Min Yang et al.7 citations
  82. Predicting Representations of Information Needs from Digital Activity Context ↗Tung Vuong, Tuukka Ruotsalo7 citations
  83. Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers ↗David Rau, Mostafa Dehghani, Jaap Kamps7 citations
  84. SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification ↗Junfan Chen, Richong Zhang, Xiaohan Jiang et al.7 citations
  85. Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue ↗Jian Wang, Dongding Lin, Wenjie Li7 citations
  86. An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models ↗Qi Liu, Gang Guo, Jiaxin Mao et al.6 citations
  87. Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability ↗Nuo Chen, Jiqun Liu, Hanpei Fang et al.6 citations
  88. Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge ↗Nuo Xu, Pinghui Wang, Junzhou Zhao et al.6 citations
  89. MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation ↗Hao Wang, Mingjia Yin, Luankang Zhang et al.6 citations
  90. Mixture-of-Languages Routing for Multilingual Dialogues ↗Jiahuan Pei, Guojun Yan, Maarten de Rijke et al.6 citations
  91. Multi-Agent Attacks for Black-Box Social Recommendations ↗Shijie Wang, Wenqi Fan, Xiao-Yong Wei et al.6 citations
  92. Passage-aware Search Result Diversification ↗Zhan Su, Zhicheng Dou, Yutao Zhu et al.6 citations
  93. ROGER: Ranking-Oriented Generative Retrieval ↗Yujia Zhou, Jing Yao, Zhicheng Dou et al.6 citations
  94. Revisiting Conversation Discourse for Dialogue Disentanglement ↗Bobo Li, Hao Fei, Fei Li et al.6 citations
  95. SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search ↗Xu Zhang, Zexu Lin, Xiaoyu Hu et al.6 citations
  96. Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language ↗Zekai Qu, Ruobing Xie, Chaojun Xiao et al.6 citations
  97. Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation ↗Shengyu Zhang, Qiaowei Miao, Ping Nie et al.6 citations
  98. Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification ↗Tao Zou, Le Yu, Junchen Ye et al.5 citations
  99. Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training ↗Jiezhu Cheng, Kaizhu Huang, Zibin Zheng5 citations
  100. Distributed Recommendation Systems: Survey and Research Directions ↗Qiqi Cai, Jian Cao, Guandong Xu et al.5 citations

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