ACM Transactions on Information Systems

Papers
(The median citation count of ACM Transactions on Information Systems is 3. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
The In-Situ Effect of Offensive Ads on Search Engine Users267
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model128
Conversations with Search Engines: SERP-based Conversational Response Generation126
Editorial Message from the New Editor-in-Chief123
Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation89
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval82
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant82
Understanding the “Pathway” Towards a Searcher’s Learning Objective81
Learning Implicit and Explicit Multi-task Interactions for Information Extraction58
Collaborative Graph Learning for Session-based Recommendation58
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation57
Privacy-Preserving Sequential Recommendation with Collaborative Confusion56
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition56
User Behavior Simulation with Large Language Model-based Agents54
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers51
Ranking Models for the Temporal Dimension of Text47
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs46
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation46
Personalized, Sequential, Attentive, Metric-Aware Product Search44
DiffuRec: A Diffusion Model for Sequential Recommendation37
Feature-Level Attentive ICF for Recommendation37
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs36
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph35
Online and Offline Evaluation in Search Clarification34
Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching34
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction34
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction33
Passage-aware Search Result Diversification33
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation32
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems30
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation30
Denoising Heterogeneous Graph Pre-training Framework for Recommendation30
A Multifocal Graph-Based Neural Network Scheme for Topic Event Extraction30
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation30
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation29
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting29
Leveraging Narrative to Generate Movie Script29
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System29
Knowledge-Guided Disentangled Representation Learning for Recommender Systems29
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls28
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach27
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations27
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 127
Towards Efficient Coarse-grained Dialogue Response Selection26
Graph Co-Attentive Session-based Recommendation26
Learning from Hierarchical Structure of Knowledge Graph for Recommendation26
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation26
Are Neural Ranking Models Robust?26
Stopping Methods for Technology-assisted Reviews Based on Point Processes26
Dual Preference Distribution Learning for Item Recommendation25
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation25
Triple Dual Learning for Opinion-based Explainable Recommendation25
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation23
MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation23
Learning Robust Sequential Recommenders through Confident Soft Labels23
Post-Training Attribute Unlearning in Recommender Systems23
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training23
Uniform Graph Pre-training and Prompting for Transferable Recommendation22
Using Chao’s Estimator as a Stopping Criterion for Technology-Assisted Review22
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning21
Time-aware Path Reasoning on Knowledge Graph for Recommendation21
Interaction-aware Drug Package Recommendation via Policy Gradient21
SLED: Structure Learning based Denoising for Recommendation20
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System20
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering20
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation20
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation20
Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges20
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation19
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning19
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network19
Theories of Conversation for Conversational IR19
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling19
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation18
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures18
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks18
Federated User Modeling from Hierarchical Information18
Proactive Privacy-preserving Learning for Cross-modal Retrieval18
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services18
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization17
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising17
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks17
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment17
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks17
How Can Recommender Systems Benefit from Large Language Models: A Survey17
Efficient On-Device Session-Based Recommendation17
Contrastive Clustering Learning for Multi-Behavior Recommendation17
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search17
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation17
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification16
Relevance Feedback with Brain Signals16
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering15
Counterfactual Explanation for Fairness in Recommendation15
Inter- and Intra- Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems15
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data15
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems15
Rebalancing Discriminative Responses for Knowledge Tracing14
Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue—Part 114
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation13
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation13
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation13
A Survey on Recommender Systems Using Graph Neural Network13
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems13
Contrastive Graph Prompt-tuning for Cross-domain Recommendation13
Person-action Instance Search in Story Videos: An Experimental Study13
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models13
Augmentation with Neighboring Information for Conversational Recommendation13
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation13
Data Augmentation for Sample Efficient and Robust Document Ranking12
M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation12
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework12
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation12
Special Section on Efficiency in Neural Information Retrieval12
Learning to Retrieve User Behaviors for Click-through Rate Estimation12
On the Vulnerability of Graph Learning-based Collaborative Filtering12
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner12
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences12
Building a Coding Assistant via the Retrieval-Augmented Language Model11
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework11
Contextualizing and Expanding Conversational Queries without Supervision11
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs11
Inductive Contextual Relation Learning for Personalization11
Revisiting Conversation Discourse for Dialogue Disentanglement11
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation11
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation11
On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments11
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing11
SPEX: A Generic Framework for Enhancing Neural Social Recommendation11
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation11
A Blueprint of IR Evaluation Integrating Task and User Characteristics11
ROGER: Ranking-Oriented Generative Retrieval10
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models10
The Footprint of Factorization Models and Their Applications in Collaborative Filtering10
Few-shot Learning for Heterogeneous Information Networks10
Disentangled Representations Learning for Multi-target Cross-domain Recommendation10
A Knowledge Graph Embedding Model for Answering Factoid Entity Questions10
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach10
Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences10
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction10
ELAKT: Enhancing Locality for Attentive Knowledge Tracing10
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering10
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks9
Knowledge Base Embedding for Sampling-Based Prediction9
Recognize News Transition from Collective Behavior for News Recommendation9
Topic Difficulty: Collection and Query Formulation Effects9
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model9
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning9
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems9
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results9
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval9
A Dense Representation Framework for Lexical and Semantic Matching9
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank9
Learning to Learn a Cold-start Sequential Recommender9
Extractive Explanations for Interpretable Text Ranking9
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation8
An Intent Taxonomy of Legal Case Retrieval8
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios8
Bridging Dense and Sparse Maximum Inner Product Search8
On the Effectiveness of Sampled Softmax Loss for Item Recommendation8
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments8
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games8
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals8
Integrating Representation and Interaction for Context-Aware Document Ranking8
QUADEN: Discovering Latent Neighbors for Sparse Users and Items Across Interaction Quadrants in Recommender System8
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs8
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews8
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions8
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models8
A Variational Neural Architecture for Skill-based Team Formation8
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation7
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics7
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs7
C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable7
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval7
Personalized Query Expansion with Contextual Word Embeddings7
Deep Coupling Network for Multivariate Time Series Forecasting7
Contrastive Modality-Disentangled Learning for Multimodal Recommendation7
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems7
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants7
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks7
MKCRec: Meta-relation guided Knowledge Coupling for Paper Recommendation7
MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations7
Unsupervised Social Bot Detection via Structural Information Theory7
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation7
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation7
Bias and Debias in Recommender System: A Survey and Future Directions7
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms6
A Review Selection Method Based on Consumer Decision Phases in E-commerce6
Incorporating Structural Information into Legal Case Retrieval6
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation6
On the User Behavior Leakage from Recommender System Exposure6
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems6
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction6
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction6
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions6
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction6
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks6
Document-level Relation Extraction with Progressive Self-distillation6
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction5
Combining Graph Convolutional Neural Networks and Label Propagation5
Understanding Feeling-of-Knowing in Information Search: An EEG Study5
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching5
Toward Best Practices for Training Multilingual Dense Retrieval Models5
Enhancing ID-based Recommendation with Large Language Models5
Graph Neural Collaborative Topic Model for Citation Recommendation5
Distributional Fairness-aware Recommendation5
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems5
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering5
Distributed Recommendation Systems: Survey and Research Directions5
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation5
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval5
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals5
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management5
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users5
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network5
Spoken Conversational Context Improves Query Auto-completion in Web Search5
User Profiling Based on Nonlinguistic Audio Data5
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments5
Collaborative Sequential Recommendations via Multi-view GNN-transformers5
Listwise Generative Retrieval Models via a Sequential Learning Process5
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction5
Understanding Diversity in Session-based Recommendation5
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation5
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion4
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems4
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach4
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search4
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?4
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing4
Certified Unlearning for Federated Recommendation4
Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction4
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation4
A Multi-strategy-based Pre-training Method for Cold-start Recommendation4
Hierarchical Gating Network for Cross-Domain Sequential Recommendation4
Multi-interest Diversification for End-to-end Sequential Recommendation4
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources4
Question Tagging via Graph-guided Ranking4
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation4
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation4
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations4
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization4
Automated Disentangled Sequential Recommendation with Large Language Models4
Learning Dual-view User Representations for Enhanced Sequential Recommendation4
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model4
Addressing Confounding Feature Issue for Causal Recommendation4
Ownership Verification for Federated Recommendation4
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus3
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers3
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction3
Personalized and Diversified: Ranking Search Results in an Integrated Way3
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