OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 46. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	1410
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	426
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	283
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	183
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	152
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	151
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	137
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	124
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	104
DiffuRec: A Diffusion Model for Sequential Recommendation	99
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	94
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	94
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	94
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	90
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	90
ID-centric Pre-training for Recommendation	82
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	78
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	75
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	70
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	70
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	69
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	68
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts	66
Revisiting Conversation Discourse for Dialogue Disentanglement	64
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation	64

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	61
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	59
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	57
Bias and Debias in Recommender System: A Survey and Future Directions	57
A Review Selection Method Based on Consumer Decision Phases in E-commerce	56
Toward Best Practices for Training Multilingual Dense Retrieval Models	56
Listwise Generative Retrieval Models via a Sequential Learning Process	54
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	53
On the Use of LLMs for Relevance Labelling	53
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	53
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation	52
Collaborative Sequential Recommendations via Multi-view GNN-transformers	52
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	52
Enhancing ID-based Recommendation with Large Language Models	51
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	50
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	49
On the User Behavior Leakage from Recommender System Exposure	49
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	49
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	47
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	46
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	46