OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 12. 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 2021-09-01 to 2025-09-01.)

Article	Citations
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	387
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	313
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	172
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	127
Graph Co-Attentive Session-based Recommendation	107
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	105
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	103
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	89
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	73
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	71
Understanding the “Pathway” Towards a Searcher’s Learning Objective	69
DiffuRec: A Diffusion Model for Sequential Recommendation	68
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	67
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	63
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	61
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	60
Bias and Debias in Recommender System: A Survey and Future Directions	58
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	55
Revisiting Conversation Discourse for Dialogue Disentanglement	50
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	46
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	45
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	44
Genomics-Enhanced Cancer Risk Prediction for Personalized LLMs-Driven Healthcare Recommender Systems	44
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	44
ID-centric Pre-training for Recommendation	44

H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	43
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	43
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	42
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	41
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	41
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	41
User Profiling Based on Nonlinguistic Audio Data	40
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	40
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	40
Enhancing ID-based Recommendation with Large Language Models	40
Collaborative Sequential Recommendations via Multi-view GNN-transformers	39
Toward Best Practices for Training Multilingual Dense Retrieval Models	39
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	38
On the User Behavior Leakage from Recommender System Exposure	38
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	38
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	36
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	36
Listwise Generative Retrieval Models via a Sequential Learning Process	36
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	35
Multi-interest Diversification for End-to-end Sequential Recommendation	35
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	35
Learning a Hierarchical Intent Model for Next-Item Recommendation	34
A Review Selection Method Based on Consumer Decision Phases in E-commerce	34
Variational Type Graph Autoencoder for Denoising on Event Recommendation	34
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	33
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	33
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	33
Cluster-Based Graph Collaborative Filtering	33
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	33
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	32
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	32
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	32
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	31
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	31
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	30
User Behavior Simulation for Search Result Re-ranking	30
Average User-Side Counterfactual Fairness for Collaborative Filtering	30
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	30
Sequential Recommendation with Multiple Contrast Signals	29
Graph Neural Pre-training for Recommendation with Side Information	29
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	28
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	27
Conversational Search and Recommendation: Introduction to the Special Issue	27
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	26
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	26
Meta-Learning to Rank for Sparsely Supervised Queries	26
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	26
Causal Inference in Recommender Systems: A Survey and Future Directions	25
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	25
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	25

Personality Dialogue Agent Based on Personality Description and Conversation History	24
Contrastive Self-supervised Learning in Recommender Systems: A Survey	24
Explaining Recommendation Fairness from a User/Item Perspective	24
On Elastic Language Models	23
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	23
Multi-Agent Attacks for Black-Box Social Recommendations	23
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	22
A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments	22
Triple Sequence Learning for Cross-domain Recommendation	22
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	22
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	21
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	21
A Survey on the Memory Mechanism of Large Language Model based Agents	21
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	21
Social Context-aware Person Search in Videos via Multi-modal Cues	20
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	20
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	19
Towards Efficient Coarse-grained Dialogue Response Selection	19
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	19
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	19
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	19
Reinforcement Routing on Proximity Graph for Efficient Recommendation	19
Online and Offline Evaluation in Search Clarification	19
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	18
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	18
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	18
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	18
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	18
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	18
Ranking Models for the Temporal Dimension of Text	18
How Can Recommender Systems Benefit from Large Language Models: A Survey	17
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	17
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	17
Post-Training Attribute Unlearning in Recommender Systems	16
The In-Situ Effect of Offensive Ads on Search Engine Users	16
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	16
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	16
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	16
Stopping Methods for Technology-assisted Reviews Based on Point Processes	16
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	16
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	16
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	15
Learning to Learn a Cold-start Sequential Recommender	15
Knowledge Base Embedding for Sampling-Based Prediction	15
Rebalancing Discriminative Responses for Knowledge Tracing	15
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	15
Person-action Instance Search in Story Videos: An Experimental Study	15
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	14
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	14
Building a Coding Assistant via the Retrieval-Augmented Language Model	14
Inter- and Intra- Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	14
Debiased Cognition Representation Learning for Knowledge Tracing	14
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	14
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	13
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	13
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	13
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	13
A Variational Neural Architecture for Skill-based Team Formation	13
Distributional Fairness-aware Recommendation	13
Unsupervised Social Bot Detection via Structural Information Theory	13
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	13
Counterfactual Explanation for Fairness in Recommendation	13
Causal Time-aware News Recommendations with Large Language Models	12
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	12
Efficient Multi-task Prompt Tuning for Recommendation	12
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	12
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	12
Deep Coupling Network for Multivariate Time Series Forecasting	12
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	12