ACM Transactions on Information Systems

Article	Citations
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	744
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	362
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	229
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	157
Understanding the “Pathway” Towards a Searcher’s Learning Objective	124
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	121
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	102
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	92
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	91
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	87
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	84
DiffuRec: A Diffusion Model for Sequential Recommendation	81
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	77
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	73
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	71
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	69
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	67
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	63
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	63
ID-centric Pre-training for Recommendation	57
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	57
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	57
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	54
Revisiting Conversation Discourse for Dialogue Disentanglement	52
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	51

Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	51
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	51
Bias and Debias in Recommender System: A Survey and Future Directions	50
A Review Selection Method Based on Consumer Decision Phases in E-commerce	48
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	48
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	47
Toward Best Practices for Training Multilingual Dense Retrieval Models	46
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	45
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	45
Enhancing ID-based Recommendation with Large Language Models	45
Listwise Generative Retrieval Models via a Sequential Learning Process	44
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	44
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	44
On the User Behavior Leakage from Recommender System Exposure	44
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	42
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	41
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	41
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	40
Collaborative Sequential Recommendations via Multi-view GNN-transformers	40
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	39
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	39
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	36
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	35
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	35
Variational Type Graph Autoencoder for Denoising on Event Recommendation	34
Cluster-Based Graph Collaborative Filtering	34
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	33
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	33
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	33
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	32
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	32
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	31
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	30
Meta-Learning to Rank for Sparsely Supervised Queries	30
Average User-Side Counterfactual Fairness for Collaborative Filtering	29
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	29
User Behavior Simulation for Search Result Re-ranking	29
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	29
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	28
Graph Neural Pre-training for Recommendation with Side Information	28
Sequential Recommendation with Multiple Contrast Signals	27
Causal Inference in Recommender Systems: A Survey and Future Directions	27
Contrastive Self-supervised Learning in Recommender Systems: A Survey	27
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation	27
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	27
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	25
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	25
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	25
Triple Sequence Learning for Cross-domain Recommendation	25
Personality Dialogue Agent Based on Personality Description and Conversation History	25

Explaining Recommendation Fairness from a User/Item Perspective	24
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	24
Reinforcement Routing on Proximity Graph for Efficient Recommendation	23
Knowledge Graph Pruning for Recommendation	23
On Elastic Language Models	23
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	23
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	23
Multi-Agent Attacks for Black-Box Social Recommendations	22
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	21
A Survey on the Memory Mechanism of Large Language Model-based Agents	21
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation	21
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	21
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	21
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	20
Online and Offline Evaluation in Search Clarification	20
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	20
Towards Efficient Coarse-grained Dialogue Response Selection	20
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	19
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	19
Ranking Models for the Temporal Dimension of Text	19
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	19
Stopping Methods for Technology-assisted Reviews Based on Point Processes	19
The In-Situ Effect of Offensive Ads on Search Engine Users	18
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	18
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	17
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	17
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	17
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	17
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	17
Rebalancing Discriminative Responses for Knowledge Tracing	16
Post-Training Attribute Unlearning in Recommender Systems	16
Knowledge Base Embedding for Sampling-Based Prediction	16
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	16
Counterfactual Explanation for Fairness in Recommendation	16
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	16
How Can Recommender Systems Benefit from Large Language Models: A Survey	16
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	15
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	15
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	15
Debiased Cognition Representation Learning for Knowledge Tracing	15
Learning to Learn a Cold-start Sequential Recommender	15
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	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
A Variational Neural Architecture for Skill-based Team Formation	15
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	15
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	14
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	14
Building a Coding Assistant via the Retrieval-Augmented Language Model	14
Unsupervised Social Bot Detection via Structural Information Theory	14
Causal Time-aware News Recommendations with Large Language Models	14
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	14
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	14
Deep Coupling Network for Multivariate Time Series Forecasting	14
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets	13
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing	13
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	13
Efficient Multi-task Prompt Tuning for Recommendation	13
Robust Collaborative Filtering to Popularity Distribution Shift	13
Distributional Fairness-aware Recommendation	13
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	13
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks	13
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	13
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	13
ITCoHD-MRec: An Independent Topological Preference-Aware and Cooperative Hypergraph Diffusion-Based Multimodal Recommender Model	12
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	12
Social Cognitive Theory Enhanced Diversified Recommendation	12
Personality-affected Emotion Generation in Dialog Systems	12
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation	12
PARADE: Passage Representation Aggregation forDocument Reranking	12
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems	12
Rethinking Convolutional Neural Network in Multimodal Sequential Recommendation	11
Personalized News Recommendation: Methods and Challenges	11
A Model-agnostic Pre-training Framework for Search Result Diversification	11
Position-aware Graph Transformer for Recommendation	11
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	11
A Critical Study on Data Leakage in Recommender System Offline Evaluation	11
Graph Retrieval-Augmented Generation: A Survey	11
Structure-Aware Conversational Legal Case Retrieval	11
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	11

Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation	11
Mixture-of-Languages Routing for Multilingual Dialogues	11
(Un)likelihood Training for Interpretable Embedding	11
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction	11
Large Language Model Can Interpret Latent Space of Sequential Recommender	10
Denoising Alignment with Large Language Model for Recommendation	10
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems	10
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	10
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	10
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation	10
Debiased Recommendation via Wasserstein Causal Balancing	10
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability	10
Sequence-aware Knowledge Distillation for a Lightweight Event Representation	10
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures	10
Exploring Heterogeneous Data Lake Based on Canonical Graphs	10
Semantic Collaborative Learning for Cross-Modal Moment Localization	10
Learning to Ask: Conversational Product Search via Representation Learning	9
A Data-Driven Analysis of Behaviors in Data Curation Processes	9
An Analysis of Fusion Functions for Hybrid Retrieval	9
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions	9
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation	9
The LambdaGap Framework for Precision-Oriented Ranking	9
Conditional Cross-Platform User Engagement Prediction	9
Triple Dual Learning for Opinion-based Explainable Recommendation	9
Cross-domain Recommendation via Dual Adversarial Adaptation	9
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning	9
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation	9
DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation	9
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language	9
Proactive Privacy-preserving Learning for Cross-modal Retrieval	8
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction	8
An Intent Taxonomy of Legal Case Retrieval	8
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights	8
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	8
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	8
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	8
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation	8
SLED: Structure Learning based Denoising for Recommendation	8
Relevance Feedback with Brain Signals	8
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing	8
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation	8
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation	8
Are Neural Ranking Models Robust?	8
Uniform Graph Pre-training and Prompting for Transferable Recommendation	8
A Blueprint of IR Evaluation Integrating Task and User Characteristics	8
Integrating Representation and Interaction for Context-Aware Document Ranking	8
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing	8
Learning to Retrieve User Behaviors for Click-through Rate Estimation	8
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search	8
Causal Inference for Multi-Criteria Rating Recommender Systems	8
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	7
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	7
Distributed Recommendation Systems: Survey and Research Directions	7
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	7
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations	7
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	7
Learning Dual-view User Representations for Enhanced Sequential Recommendation	7
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems	7
Incorporating Structural Information into Legal Case Retrieval	7
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model	7
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	7
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction	7
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments	7
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks	7
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation	7
Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations	6
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction	6
MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning	6
User Invariant Preference Learning for Multi-Behavior Recommendation	6
Certified Unlearning for Federated Recommendation	6
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	6
Cross-Domain NER under a Divide-and-Transfer Paradigm	6
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	6
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph	6
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation	6
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering	6
Generating Relevant and Informative Questions for Open-Domain Conversations	6
An Efficient and Robust Semantic Hashing Framework for Similar Text Search	6
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models	6
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources	6
A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling	6
Understanding Diversity in Session-based Recommendation	6
Characterization and Prediction of Mobile Tasks	6
A Noise-Oriented and Redundancy-Aware Instance Selection Framework	6
Mitigating Propensity Bias of Large Language Models for Recommender Systems	6
Complex-valued Neural Network-based Quantum Language Models	6
Multi-Relation Enhanced Dynamic Hypergraph for Session-based Recommendation	6
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation	6
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus	6
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	6
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation	6
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs	6
Vague Preference Policy Learning for Conversational Recommendation	6
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing	5
ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation	5