ACM Transactions on Information Systems

Papers
(The H4-Index of ACM Transactions on Information Systems is 27. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Bias and Debias in Recommender System: A Survey and Future Directions170
Deep Learning for Sequential Recommendation129
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research105
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification95
A Survey on the Fairness of Recommender Systems77
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks75
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks58
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation49
Personalized News Recommendation: Methods and Challenges49
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions49
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users45
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features41
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach38
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis36
Semantic Models for the First-Stage Retrieval: A Comprehensive Review35
Collaborative Graph Learning for Session-based Recommendation35
Personalized Prompt Learning for Explainable Recommendation35
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences34
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network34
Decentralized Collaborative Learning Framework for Next POI Recommendation33
Unbiased Learning to Rank33
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion33
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation31
How Am I Doing?: Evaluating Conversational Search Systems Offline30
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems29
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation28
Toward Dynamic User Intention28
Interaction-aware Drug Package Recommendation via Policy Gradient27
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