OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 11. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Editorial Message from the New Editor-in-Chief	300
Graph Co-Attentive Session-based Recommendation	194
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	141
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	108
DiffuRec: A Diffusion Model for Sequential Recommendation	97
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	90
Understanding the “Pathway” Towards a Searcher’s Learning Objective	88
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	73
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	63
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	63
Theories of Conversation for Conversational IR	63
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	61
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	57
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	51
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	50
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	48
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	47
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	46
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	41
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	40
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	40
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	39
Revisiting Conversation Discourse for Dialogue Disentanglement	38
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	37
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	37

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	36
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	36
ID-centric pre-training for recommendation	36
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	35
Bias and Debias in Recommender System: A Survey and Future Directions	35
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	34
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	33
Toward Best Practices for Training Multilingual Dense Retrieval Models	33
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	33
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	33
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	32
Listwise Generative Retrieval Models via a Sequential Learning Process	31
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	31
A Review Selection Method Based on Consumer Decision Phases in E-commerce	31
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	31
User Profiling Based on Nonlinguistic Audio Data	30
Enhancing ID-based Recommendation with Large Language Models	30
On the User Behavior Leakage from Recommender System Exposure	30
Collaborative Sequential Recommendations via Multi-view GNN-transformers	29
Multi-interest Diversification for End-to-end Sequential Recommendation	29
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2	29
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	29
Variational Type Graph Autoencoder for Denoising on Event Recommendation	28
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	28
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	28
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	28
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	28
Cluster-Based Graph Collaborative Filtering	28
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	28
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	27
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	26
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	26
Learning a Hierarchical Intent Model for Next-Item Recommendation	26
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	26
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	25
Meta-Learning to Rank for Sparsely Supervised Queries	25
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	25
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	25
Conversational Search and Recommendation: Introduction to the Special Issue	24
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	23
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	23
Sequential Recommendation with Multiple Contrast Signals	23
Query Performance Prediction using Relevance Judgments Generated by Large Language Models	23
Causal Inference in Recommender Systems: A Survey and Future Directions	23
Contrastive Self-supervised Learning in Recommender Systems: A Survey	22
User Behavior Simulation for Search Result Re-ranking	22
Graph Neural Pre-training for Recommendation with Side Information	22
Average User-Side Counterfactual Fairness for Collaborative Filtering	22
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	22
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	22

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	21
Target-guided Emotion-aware Chat Machine	21
Social Context-aware Person Search in Videos via Multi-modal Cues	21
Multi-Agent Attacks for Black-Box Social Recommendations	21
Explaining Recommendation Fairness from a User/Item Perspective	21
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments	20
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	20
Reinforcement Routing on Proximity Graph for Efficient Recommendation	19
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	19
On Elastic Language Models	19
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	19
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	18
Triple Sequence Learning for Cross-domain Recommendation	18
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	18
Personality dialogue agent based on personality description and conversation history	18
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	18
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	18
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	18
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	17
Ranking Models for the Temporal Dimension of Text	17
Online and Offline Evaluation in Search Clarification	16
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	16
Towards Efficient Coarse-grained Dialogue Response Selection	16
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	16
The In-Situ Effect of Offensive Ads on Search Engine Users	16
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	16
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	15
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	15
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems	15
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	15
Stopping Methods for Technology-assisted Reviews Based on Point Processes	15
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	15
How Can Recommender Systems Benefit from Large Language Models: A Survey	15
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	15
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	15
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	14
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	13
Inter- and Intra- Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	13
Building a Coding Assistant via the Retrieval-Augmented Language Model	13
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	13
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	13
Knowledge Base Embedding for Sampling-Based Prediction	13
Post-Training Attribute Unlearning in Recommender Systems	13
Learning to Learn a Cold-start Sequential Recommender	13
Person-action Instance Search in Story Videos: An Experimental Study	13
Counterfactual Explanation for Fairness in Recommendation	12
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	12
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	12
A Variational Neural Architecture for Skill-based Team Formation	12
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	12
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	12
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	12
Debiased Cognition Representation Learning for Knowledge Tracing	12
Rebalancing Discriminative Responses for Knowledge Tracing	12
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	12
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	11
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	11
Distributional Fairness-aware Recommendation	11
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	11
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	11
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question Answering System	11
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	11
Combining Graph Convolutional Neural Networks and Label Propagation	11
Efficient Multi-task Prompt Tuning for Recommendation	11
Unsupervised Social Bot Detection via Structural Information Theory	11
Causal Time-aware News Recommendations with Large Language Models	11
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	11
Deep Coupling Network for Multivariate Time Series Forecasting	11