ACM Transactions on Information Systems

Article	Citations
Periodic Graph Neural Networks for Click-Through Rate Prediction in Online Advertising	1410
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	426
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	283
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation	183
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	152
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	151
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	137
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	124
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	104
DiffuRec: A Diffusion Model for Sequential Recommendation	99
Genomics-Enhanced Cancer Risk Prediction for Personalized LLM-Driven Healthcare Recommender Systems	94
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	94
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	94
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	90
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	90
ID-centric Pre-training for Recommendation	82
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	78
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	75
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	70
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	70
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	69
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	68
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts	66
Revisiting Conversation Discourse for Dialogue Disentanglement	64
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation	64

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	61
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	59
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 2	57
Bias and Debias in Recommender System: A Survey and Future Directions	57
A Review Selection Method Based on Consumer Decision Phases in E-commerce	56
Toward Best Practices for Training Multilingual Dense Retrieval Models	56
Listwise Generative Retrieval Models via a Sequential Learning Process	54
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems	53
On the Use of LLMs for Relevance Labelling	53
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval	53
Collaborative Sequential Recommendations via Multi-view GNN-transformers	52
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	52
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation	52
Enhancing ID-based Recommendation with Large Language Models	51
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	50
On the User Behavior Leakage from Recommender System Exposure	49
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	49
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	49
SoREX: Towards Self-Explainable Social Recommendation with Relevant Ego-Path Extraction	47
Utilizing Large Language Model for Conversational Information Seeking via Dual-Query Generation and Joint-Encoding	46
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems	46
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion	45
Erratum: Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	45
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	45
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	44
Variational Type Graph Autoencoder for Denoising on Event Recommendation	42
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	42
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	42
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	40
OpenEP: Open-Ended Future Event Prediction	40
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	39
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification	38
Cluster-Based Graph Collaborative Filtering	38
Angle-QPP: Improving Query Performance Prediction through Large Language Models and Angle Interaction in Complex Vector Space	38
Query Performance Prediction Using Relevance Judgments Generated by Large Language Models	37
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker	37
User Behavior Simulation for Search Result Re-ranking	37
Meta-Learning to Rank for Sparsely Supervised Queries	36
Graph Neural Pre-training for Recommendation with Side Information	35
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities	35
Contrastive Self-supervised Learning in Recommender Systems: A Survey	35
Sequential Recommendation with Multiple Contrast Signals	34
LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models	34
Personality Dialogue Agent Based on Personality Description and Conversation History	33
Causal Inference in Recommender Systems: A Survey and Future Directions	33
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	33
Average User-Side Counterfactual Fairness for Collaborative Filtering	33
Towards Goal-oriented Intelligent Tutoring Systems in Online Education	33
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation	33
Reinforcement Routing on Proximity Graph for Efficient Recommendation	32

On Elastic Language Models	31
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding	31
Multi-Agent Attacks for Black-Box Social Recommendations	31
Knowledge Graph Pruning for Recommendation	30
Beyond Pointwise: Exploring Comparative Approaches for Predicting Query Performance Using LLMs	30
Explaining Recommendation Fairness from a User/Item Perspective	28
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?	28
TriMLP : A Foundational MLP-Like Architecture for Sequential Recommendation	27
Geometric-Augmented Self-Distillation for Graph-Based Recommendation	27
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation	26
Knowledge-Driven Reasoning for Compatible and Interpretable API Recommendation via Teacher LLM Distillation	25
Triple Sequence Learning for Cross-domain Recommendation	25
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	25
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	25
Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	25
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors	25
Adaptive Temporal Expert Routing with Hierarchical Wavelet Enhancement for Multi-Modal Sequential Recommendation	24
Online and Offline Evaluation in Search Clarification	24
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	24
A Survey on the Memory Mechanism of Large Language Model-based Agents	24
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	23
Ranking Models for the Temporal Dimension of Text	23
Stopping Methods for Technology-assisted Reviews Based on Point Processes	22
Towards Efficient Coarse-grained Dialogue Response Selection	22
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	21
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	21
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	21
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	21
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM	21
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	21
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	20
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	20
The In-Situ Effect of Offensive Ads on Search Engine Users	20
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	20
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems	20
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	19
Uncovering Hidden Connections: Iterative Search and Reasoning for Video-grounded Dialog	19
Post-Training Attribute Unlearning in Recommender Systems	19
How Can Recommender Systems Benefit from Large Language Models: A Survey	19
DRAR: Diffusion-Based Relation Augmentation for Knowledge-aware Recommendation	19
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	18
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System	18
Knowledge Base Embedding for Sampling-Based Prediction	18
Now that your System has been Reproduced, What does this Mean for the Users?	18
Person-action Instance Search in Story Videos: An Experimental Study	18
Corrigendum: A Content- and Context-Aware Click Model Based on Dynamic Graph Neural Networks	18
Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems	18
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	18
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective	18
Counterfactual Explanation for Fairness in Recommendation	17
EffiPOI: A Product Quantization Framework Based on Knowledge Distillation for Efficient POI Recommendations	17
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	17
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	17
Rebalancing Discriminative Responses for Knowledge Tracing	17
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	17
Debiased Cognition Representation Learning for Knowledge Tracing	17
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	16
Causal Time-aware News Recommendations with Large Language Models	16
Deep Coupling Network for Multivariate Time Series Forecasting	16
A Variational Neural Architecture for Skill-based Team Formation	16
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	16
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing	16
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	16
Unsupervised Social Bot Detection via Structural Information Theory	16
Rethinking User Retention Modeling in Recommendation	16
Distributional Fairness-aware Recommendation	16
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	16
Building a Coding Assistant via the Retrieval-Augmented Language Model	16
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	15
Efficient Multi-task Prompt Tuning for Recommendation	15
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation	15
Personality-affected Emotion Generation in Dialog Systems	15
Robust Collaborative Filtering to Popularity Distribution Shift	15
A Survey of Personalization: From RAG to Agent	15
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	15
Understanding Visual Saliency of Outlier Items in Product Search	15
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	15
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks	15
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	15
Social Cognitive Theory Enhanced Diversified Recommendation	14

ITCoHD-MRec: An Independent Topological Preference-Aware and Cooperative Hypergraph Diffusion-Based Multimodal Recommender Model	14
The Effect of Task Complexity and Domain Expertise on Search Performance and User Behavior in Conversational Exploratory Search	14
Mixture-of-Languages Routing for Multilingual Dialogues	14
Rethinking Convolutional Neural Network in Multimodal Sequential Recommendation	14
Music Listening, Mental Health, and Stress: A Computational Framework for Personalized Analysis and Recommendation	13
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems	13
(Un)likelihood Training for Interpretable Embedding	13
Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation	13
PARADE: Passage Representation Aggregation forDocument Reranking	13
Personalized News Recommendation: Methods and Challenges	13
A Model-agnostic Pre-training Framework for Search Result Diversification	13
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets	13
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	13
Graph Retrieval-Augmented Generation: A Survey	13
A Critical Study on Data Leakage in Recommender System Offline Evaluation	13
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	12
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction	12
Position-aware Graph Transformer for Recommendation	12
Denoising Alignment with Large Language Model for Recommendation	12
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability	12
Semantic Collaborative Learning for Cross-Modal Moment Localization	12
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	12
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation	12
Exploring Heterogeneous Data Lake Based on Canonical Graphs	12
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction	12
Reversing the Retrieval Engine: Query Performance Prediction as an Inverse Learning Task	12
Negative Sampling in Recommendation: A Survey and Future Directions	12
On The Use Of Electroencephalography In Query Performance Prediction	12
Sequence-aware Knowledge Distillation for a Lightweight Event Representation	12
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems	12
Structure-Aware Conversational Legal Case Retrieval	12
Debiased Recommendation via Wasserstein Causal Balancing	12
Large Language Model Can Interpret Latent Space of Sequential Recommender	12
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures	11
Cross-domain Recommendation via Dual Adversarial Adaptation	11
DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation	11
D2TCDR: Disentangled Diffusion-Based Transfer for Cross-Domain Recommendation	11
Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning	11
The LambdaGap Framework for Precision-Oriented Ranking	11
Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising: An Overview and New Perspectives	11
Conditional Cross-Platform User Engagement Prediction	11
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions	11
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation	11
A Data-Driven Analysis of Behaviors in Data Curation Processes	11
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation	11
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning	11
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language	11
Learning to Ask: Conversational Product Search via Representation Learning	10
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation	10
Progressive Adaptation of Large Language Models for Multilingual Text Ranking	10
FairNS: Fair Negative Sampling in Collaborative Filtering via Diffusion Models	10
Proactive Privacy-preserving Learning for Cross-modal Retrieval	10
An Analysis of Fusion Functions for Hybrid Retrieval	10
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search	9
Does Knowledge Distillation Matter for Large Language Model-Based Bundle Generation?	9
PersuHSG: Adaptive Persuasion Strategy Planning for Dialogue Agents Based on Hierarchical Strategy Graph	9
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation	9
Causal Inference for Multi-Criteria Rating Recommender Systems	9
HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships	9
SLED: Structure Learning based Denoising for Recommendation	9
Are Neural Ranking Models Robust?	9
Uniform Graph Pre-training and Prompting for Transferable Recommendation	9
EENet: An Efficient and Effective Network for Large-Scale CTR Prediction	9
Triple Dual Learning for Opinion-based Explainable Recommendation	9
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	9
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	8
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	8
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	8
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing	8
Learning to Retrieve User Behaviors for Click-through Rate Estimation	8
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation	8
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks	8
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights	8
Imbalanced Multi-Domain Multi-Modal Learning with Expert Collaboration and Dynamic Fusion Mechanism for Fake News Detection	8
Relevance Feedback with Brain Signals	8
A Blueprint of IR Evaluation Integrating Task and User Characteristics	8
An Intent Taxonomy of Legal Case Retrieval	8
Learning Dual-view User Representations for Enhanced Sequential Recommendation	8
A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling	8
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing	8
Integrating Representation and Interaction for Context-Aware Document Ranking	8
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction	8
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	8
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	8
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	8
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models	7
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	7
Certified Unlearning for Federated Recommendation	7
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	7
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation	7
Incorporating Structural Information into Legal Case Retrieval	7
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction	7
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model	7
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources	7
Why Not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models	7