ACM Transactions on Information Systems

Papers
(The H4-Index of ACM Transactions on Information Systems is 45. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls1273
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network415
Learning Implicit and Explicit Multi-task Interactions for Information Extraction273
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising175
Learning from Hierarchical Structure of Knowledge Graph for Recommendation147
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation143
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph133
DiffuRec: A Diffusion Model for Sequential Recommendation123
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services96
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models94
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning94
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments93
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems92
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner90
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation88
ID-centric Pre-training for Recommendation80
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification72
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems69
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems69
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation68
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation68
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation64
Revisiting Conversation Discourse for Dialogue Disentanglement63
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions62
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation61
Bias and Debias in Recommender System: A Survey and Future Directions59
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences57
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 255
A Review Selection Method Based on Consumer Decision Phases in E-commerce55
Listwise Generative Retrieval Models via a Sequential Learning Process53
Toward Best Practices for Training Multilingual Dense Retrieval Models53
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval52
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach52
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems52
Enhancing ID-based Recommendation with Large Language Models51
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction51
On the User Behavior Leakage from Recommender System Exposure51
On the Use of LLMs for Relevance Labelling50
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms49
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation49
Collaborative Sequential Recommendations via Multi-view GNN-transformers49
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems48
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems48
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding46
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks45
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