ACM Transactions on Information Systems

Article	Citations
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	558
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	338
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	200
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	147
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	117
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	110
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	106
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	96
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	82
Graph Co-Attentive Session-based Recommendation	78
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	77
DiffuRec: A Diffusion Model for Sequential Recommendation	75
Understanding the “Pathway” Towards a Searcher’s Learning Objective	72
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	70
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	65
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	62
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	60
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	59
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	58
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	50
ID-centric Pre-training for Recommendation	50
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	49
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	49
Revisiting Conversation Discourse for Dialogue Disentanglement	49
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	49

Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	47
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	47
Bias and Debias in Recommender System: A Survey and Future Directions	46
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	44
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	44
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	44
A Review Selection Method Based on Consumer Decision Phases in E-commerce	43
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	43
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	43
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems.	42
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	41
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	40
Toward Best Practices for Training Multilingual Dense Retrieval Models	40
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	40
Enhancing ID-based Recommendation with Large Language Models	40
On the User Behavior Leakage from Recommender System Exposure	39
Listwise Generative Retrieval Models via a Sequential Learning Process	39
Collaborative Sequential Recommendations via Multi-view GNN-transformers	38
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	38
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	37
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	37
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	37
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	37
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	35
Variational Type Graph Autoencoder for Denoising on Event Recommendation	34
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	32
Cluster-Based Graph Collaborative Filtering	31
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	31
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	31
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	30
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	30
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	30
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	30
User Behavior Simulation for Search Result Re-ranking	28
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	28
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	28
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	27
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	27
Meta-Learning to Rank for Sparsely Supervised Queries	27
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	27
Sequential Recommendation with Multiple Contrast Signals	26
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	26
Causal Inference in Recommender Systems: A Survey and Future Directions	26
Graph Neural Pre-training for Recommendation with Side Information	26
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	25
Average User-Side Counterfactual Fairness for Collaborative Filtering	24
Contrastive Self-supervised Learning in Recommender Systems: A Survey	24
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	24
Personality Dialogue Agent Based on Personality Description and Conversation History	23
Reinforcement Routing on Proximity Graph for Efficient Recommendation	23

A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments	23
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	23
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	23
A Survey on the Memory Mechanism of Large Language Model-based Agents	22
Social Context-aware Person Search in Videos via Multi-modal Cues	22
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	22
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	22
Explaining Recommendation Fairness from a User/Item Perspective	21
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	21
On Elastic Language Models	21
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	20
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	20
Knowledge Graph Pruning for Recommendation	20
Multi-Agent Attacks for Black-Box Social Recommendations	20
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	20
Triple Sequence Learning for Cross-domain Recommendation	19
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	19
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	19
Towards Efficient Coarse-grained Dialogue Response Selection	19
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	19
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	18
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	18
The In-Situ Effect of Offensive Ads on Search Engine Users	18
Online and Offline Evaluation in Search Clarification	18
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	17
How Can Recommender Systems Benefit from Large Language Models: A Survey	17
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	16
Ranking Models for the Temporal Dimension of Text	16
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	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
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	16
Post-Training Attribute Unlearning in Recommender Systems	15
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	15
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	15
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	15
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	15
Debiased Cognition Representation Learning for Knowledge Tracing	14
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	14
Knowledge Base Embedding for Sampling-Based Prediction	14
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	14
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	14
A Variational Neural Architecture for Skill-based Team Formation	14
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	14
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	13
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	13
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	13
Learning to Learn a Cold-start Sequential Recommender	13
Rebalancing Discriminative Responses for Knowledge Tracing	13
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	13
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	13
Counterfactual Explanation for Fairness in Recommendation	13
Unsupervised Social Bot Detection via Structural Information Theory	13
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	13
Person-action Instance Search in Story Videos: An Experimental Study	13
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	13
Building a Coding Assistant via the Retrieval-Augmented Language Model	12
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	12
Efficient Multi-task Prompt Tuning for Recommendation	12
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	12
Causal Time-aware News Recommendations with Large Language Models	12
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	12
Deep Coupling Network for Multivariate Time Series Forecasting	12
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	12
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	12
Combining Graph Convolutional Neural Networks and Label Propagation	12
Robust Collaborative Filtering to Popularity Distribution Shift	12
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	12
Distributional Fairness-aware Recommendation	11
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks	11
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems	11
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation	11
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing	11
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets	11
Personality-affected Emotion Generation in Dialog Systems	11
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	11
ITCoHD-MRec: An Independent Topological Preference Aware and Cooperative Hypergraph Diffusion based Multimodal Recommender Model	11
PARADE: Passage Representation Aggregation forDocument Reranking	11
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	10
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	10

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	10
A Critical Study on Data Leakage in Recommender System Offline Evaluation	10
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	10
Mixture-of-Languages Routing for Multilingual Dialogues	10
Social Cognitive Theory Enhanced Diversified Recommendation	10
Personalized News Recommendation: Methods and Challenges	10
Denoising Alignment with Large Language Model for Recommendation	9
Sequence-aware Knowledge Distillation for a Lightweight Event Representation	9
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures	9
Semantic Collaborative Learning for Cross-Modal Moment Localization	9
Position-aware Graph Transformer for Recommendation	9
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability	9
(Un)likelihood Training for Interpretable Embedding	9
A Model-agnostic Pre-training Framework for Search Result Diversification	9
Cross-domain Recommendation via Dual Adversarial Adaptation	9
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language	9
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems	9
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	9
Structure-Aware Conversational Legal Case Retrieval	9
Exploring Heterogeneous Data Lake based on Canonical Graphs	9
Conditional Cross-Platform User Engagement Prediction	9
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation	9
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions	9
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction	9
Debiased Recommendation via Wasserstein Causal Balancing	9
Causal Inference for Multi-Criteria Rating Recommender Systems	8
SLED: Structure Learning based Denoising for Recommendation	8
Learning to Ask: Conversational Product Search via Representation Learning	8
Personalizing Medication Recommendation with a Graph-Based Approach	8
An Analysis of Fusion Functions for Hybrid Retrieval	8
Personalized, Sequential, Attentive, Metric-Aware Product Search	8
Uniform Graph Pre-training and Prompting for Transferable Recommendation	8
Are Neural Ranking Models Robust?	8
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning	8
A Data-Driven Analysis of Behaviors in Data Curation Processes	8
Triple Dual Learning for Opinion-based Explainable Recommendation	8
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation	8
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search	8
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation	8
The LambdaGap Framework for Precision-Oriented Ranking	8
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	8
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation	7
A Blueprint of IR Evaluation Integrating Task and User Characteristics	7
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	7
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction	7
Learning to Retrieve User Behaviors for Click-through Rate Estimation	7
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing	7
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	7
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	7
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing	7
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	7
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	7
Proactive Privacy-preserving Learning for Cross-modal Retrieval	7
An Intent Taxonomy of Legal Case Retrieval	7
Integrating Representation and Interaction for Context-Aware Document Ranking	7
Relevance Feedback with Brain Signals	7
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights	7
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation	7
An Efficient and Robust Semantic Hashing Framework for Similar Text Search	6
A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling	6
Fast Filtering of Search Results Sorted by Attribute	6
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	6
Learning Dual-view User Representations for Enhanced Sequential Recommendation	6
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation	6
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	6
Incorporating Structural Information into Legal Case Retrieval	6
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering	6
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs	6
User Invariant Preference Learning for Multi-Behavior Recommendation	6
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus	6
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments	6
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	6
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks	6
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources	6
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction	6
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	6
Distributed Recommendation Systems: Survey and Research Directions	6
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model	6
A Noise-Oriented and Redundancy-Aware Instance Selection Framework	6
Complex-valued Neural Network-based Quantum Language Models	6
Cross-Domain NER under a Divide-and-Transfer Paradigm	6
MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning	6
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations	6
Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations	6
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation	6
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems	6
Understanding Diversity in Session-based Recommendation	6
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	6
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	6
Certified Unlearning for Federated Recommendation	6
Mitigating Propensity Bias of Large Language Models for Recommender Systems	6
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation	6
Characterization and Prediction of Mobile Tasks	6
Towards Effective and Efficient Sparse Neural Information Retrieval	5
Examining User Heterogeneity in Digital Experiments	5