OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Information Systems is 13. 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 2021-08-01 to 2025-08-01.)

Article	Citations
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	322
Understanding the “Pathway” Towards a Searcher’s Learning Objective	322
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	162
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	125
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	102
Graph Co-Attentive Session-based Recommendation	100
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	100
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	82
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	71
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	68
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	68
Theories of Conversation for Conversational IR	68
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	63
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	61
DiffuRec: A Diffusion Model for Sequential Recommendation	61
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	54
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	54
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	53
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	44
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	43
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	42
Revisiting Conversation Discourse for Dialogue Disentanglement	42
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	41
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	41
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	40

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	40
ID-centric Pre-training for Recommendation	39
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	39
Genomics-Enhanced Cancer Risk Prediction for Personalized LLMs-Driven Healthcare Recommender Systems	39
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	39
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	38
Collaborative Sequential Recommendations via Multi-view GNN-transformers	38
Toward Best Practices for Training Multilingual Dense Retrieval Models	38
Bias and Debias in Recommender System: A Survey and Future Directions	38
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	37
User Profiling Based on Nonlinguistic Audio Data	37
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	37
A Review Selection Method Based on Consumer Decision Phases in E-commerce	37
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	37
On the User Behavior Leakage from Recommender System Exposure	36
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	36
Listwise Generative Retrieval Models via a Sequential Learning Process	36
Multi-interest Diversification for End-to-end Sequential Recommendation	36
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	34
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	34
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	34
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	33
Learning a Hierarchical Intent Model for Next-Item Recommendation	33
Enhancing ID-based Recommendation with Large Language Models	33
Cluster-Based Graph Collaborative Filtering	32
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	32
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	32
Variational Type Graph Autoencoder for Denoising on Event Recommendation	32
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	32
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	31
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	31
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	31
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	30
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	30
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	30
Contrastive Self-supervised Learning in Recommender Systems: A Survey	29
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	29
User Behavior Simulation for Search Result Re-ranking	29
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	29
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	27
Causal Inference in Recommender Systems: A Survey and Future Directions	27
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	27
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	26
Average User-Side Counterfactual Fairness for Collaborative Filtering	26
Meta-Learning to Rank for Sparsely Supervised Queries	25
Conversational Search and Recommendation: Introduction to the Special Issue	25
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	25
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	25
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	25
Sequential Recommendation with Multiple Contrast Signals	24

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