OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 49. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	1820
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	450
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	316
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	201
Hop-wise Planning with Iterative Explainable Self-Correction for Knowledge Base Question Answering	185
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	165
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	155
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	129
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	125
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	109
DiffuRec: A Diffusion Model for Sequential Recommendation	103
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	102
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	101
ID-centric Pre-training for Recommendation	99
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	98
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	96
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	96
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	93
Revisiting Conversation Discourse for Dialogue Disentanglement	91
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation	90
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	89
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts	86
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	84
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	74
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	73

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	73
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	68
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	67
Bias and Debias in Recommender System: A Survey and Future Directions	65
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	64
Collaborative Sequential Recommendations via Multi-view GNN-transformers	62
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	62
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation	62
Enhancing ID-based Recommendation with Large Language Models	61
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	60
A Review Selection Method Based on Consumer Decision Phases in E-commerce	59
Toward Best Practices for Training Multilingual Dense Retrieval Models	59
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	59
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	57
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	57
On the User Behavior Leakage from Recommender System Exposure	57
On the Use of LLMs for Relevance Labelling	55
Listwise Generative Retrieval Models via a Sequential Learning Process	54
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	54
RAGnRoll: Learning to Iteratively Retrieve and Generate Attributable Answer Snippets	53
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	53
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	50
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	49
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	49