OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 22. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks	99
Bias and Debias in Recommender System: A Survey and Future Directions	94
Deep Learning for Sequential Recommendation	86
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	82
FNED	75
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	72
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	62
Challenges in Building Intelligent Open-domain Dialog Systems	60
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	35
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation	34
A Survey on the Fairness of Recommender Systems	34
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	34
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis	33
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features	30
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval	30
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	29
How Am I Doing?: Evaluating Conversational Search Systems Offline	26
Toward Dynamic User Intention	25
Unbiased Learning to Rank	25
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	24
CRSAL	23
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	22
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	22
Personalized News Recommendation: Methods and Challenges	22
Collaborative Graph Learning for Session-based Recommendation	22