ACM Transactions on Information Systems

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
Revisiting Conversation Discourse for Dialogue Disentanglement	42
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	42
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	41
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	41
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	40

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	40
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
ID-centric Pre-training for Recommendation	39
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
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	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
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
Cluster-Based Graph Collaborative Filtering	32
Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning	31
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning	31
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers	31
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
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	30
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
Contrastive Self-supervised Learning in Recommender Systems: A Survey	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
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
Multi-Agent Attacks for Black-Box Social Recommendations	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
A Survey on the Memory Mechanism of Large Language Model based Agents	19
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
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
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
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	17
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	17
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	17
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	16
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
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
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	14
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	14
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
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
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
Deep Coupling Network for Multivariate Time Series Forecasting	12
Efficient Multi-task Prompt Tuning for Recommendation	12
Combining Graph Convolutional Neural Networks and Label Propagation	12
Robust Collaborative Filtering to Popularity Distribution Shift	12
Causal Time-aware News Recommendations with Large Language Models	12
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	12
Hierarchical Gating Network for Cross-Domain Sequential Recommendation	12
Distributional Fairness-aware Recommendation	12
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	12
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets	11
PARADE: Passage Representation Aggregation forDocument Reranking	11
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	11
Breaking The Loop: Causal Learning To Mitigate Echo Chambers In Social Networks	11
Personality-affected Emotion Generation in Dialog Systems	11
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	11
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	11
Personalized News Recommendation: Methods and Challenges	11

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	11
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems	11
Mixture-of-Languages Routing for Multilingual Dialogues	11
A Critical Study on Data Leakage in Recommender System Offline Evaluation	11
Structure-Aware Conversational Legal Case Retrieval	10
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability	10
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation	10
Denoising Alignment with Large Language Model for Recommendation	10
(Un)likelihood Training for Interpretable Embedding	10
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems	10
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction	10
CATS: Customizable Abstractive Topic-based Summarization	10
Sequence-aware Knowledge Distillation for a Lightweight Event Representation	10
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	10
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification	9
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation	9
Cross-domain Recommendation via Dual Adversarial Adaptation	9
Conditional Cross-Platform User Engagement Prediction	9
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language	9
Debiased Recommendation via Wasserstein Causal Balancing	9
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions	9
A Data-Driven Analysis of Behaviors in Data Curation Processes	9
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	9
Learning to Ask: Conversational Product Search via Representation Learning	9
Personalizing Medication Recommendation with a Graph-Based Approach	9
Semantic Collaborative Learning for Cross-Modal Moment Localization	9
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search	9
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation	9
Proactive Privacy-preserving Learning for Cross-modal Retrieval	9
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures	9
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning	9
The LambdaGap Framework for Precision-Oriented Ranking	9
An Analysis of Fusion Functions for Hybrid Retrieval	9
Personalized, Sequential, Attentive, Metric-Aware Product Search	8
Are Neural Ranking Models Robust?	8
Causal Inference for Multi-Criteria Rating Recommender Systems	8
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning	8
A Blueprint of IR Evaluation Integrating Task and User Characteristics	8
Triple Dual Learning for Opinion-based Explainable Recommendation	8
SLED: Structure Learning based Denoising for Recommendation	8
SPEX: A Generic Framework for Enhancing Neural Social Recommendation	8
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	8
Learning to Retrieve User Behaviors for Click-through Rate Estimation	8
Uniform Graph Pre-training and Prompting for Transferable Recommendation	8
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	8
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	8
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	8
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction	8
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	7
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation	7
Understanding Diversity in Session-based Recommendation	7
Incorporating Structural Information into Legal Case Retrieval	7
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction	7
Relevance Feedback with Brain Signals	7
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	7
Integrating Representation and Interaction for Context-Aware Document Ranking	7
An Intent Taxonomy of Legal Case Retrieval	7
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model	7
Question Tagging via Graph-guided Ranking	7
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments	7
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems	7
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights	7
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations	7
Fusing Predictive and Large Language Models for Actionable Recommendations in Creative Marketing	7
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	7
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations	7
Distributed Recommendation Systems: Survey and Research Directions	7
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources	7
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing	7
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation	7
Certified Unlearning for Federated Recommendation	6
HGDNet: De-noised Review-based Rating Prediction using Hierarchical Gating and Discriminative Networks	6
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation	6
Complex-valued Neural Network-based Quantum Language Models	6
Generating Relevant and Informative Questions for Open-Domain Conversations	6
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models	6
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus	6
Learning Dual-view User Representations for Enhanced Sequential Recommendation	6
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation	6
Fast Filtering of Search Results Sorted by Attribute	6
Cross-Domain NER under a Divide-and-Transfer Paradigm	6
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems	6
MVideoRec: Micro Video Recommendations through Modality Decomposition and Contrastive Learning	6
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	6
A Review on Question Generation from Natural Language Text	6
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	6
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	6
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	6
Characterization and Prediction of Mobile Tasks	6
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering	6
Towards Effective and Efficient Sparse Neural Information Retrieval	5
Evaluating the Robustness of Click Models to Policy Distributional Shift	5
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset	5
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank	5
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance	5