ACM Transactions on Information Systems

Article	Citations
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	217
User Behavior Simulation with Large Language Model-based Agents	109
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs	106
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	77
Ranking Models for the Temporal Dimension of Text	75
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System	67
Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning	63
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation	61
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant	49
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers	48
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation	45
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation	41
Graph Co-Attentive Session-based Recommendation	39
SLED: Structure Learning based Denoising for Recommendation	38
Triple Dual Learning for Opinion-based Explainable Recommendation	35
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training	35
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1	35
Editorial Message from the New Editor-in-Chief	34
Leveraging Narrative to Generate Movie Script	33
A Comparison between Term-Independence Retrieval Models for Ad Hoc Retrieval	33
Efficient On-Device Session-Based Recommendation	33
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures	30
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System	29
Federated User Modeling from Hierarchical Information	29
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	28

Intent-Oriented Dynamic Interest Modeling for Personalized Web Search	27
Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges	25
Are Neural Ranking Models Robust?	25
MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation	24
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	24
Understanding the “Pathway” Towards a Searcher’s Learning Objective	24
Dual Preference Distribution Learning for Item Recommendation	23
Proactive Privacy-preserving Learning for Cross-modal Retrieval	23
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	23
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization	22
Towards Efficient Coarse-grained Dialogue Response Selection	22
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	21
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering	21
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	21
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach	21
VM-NSP	21
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	21
The in-situ effect of offensive ads on search engine users	19
Feature-Level Attentive ICF for Recommendation	19
Post-Training Attribute Unlearning in Recommender Systems	19
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation	18
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation	18
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling	18
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	18
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	18
Passage-aware Search Result Diversification	17
Stopping Methods for Technology-assisted Reviews Based on Point Processes	17
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	17
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	17
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	17
DiffuRec: A Diffusion Model for Sequential Recommendation	17
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations	17
Theories of Conversation for Conversational IR	17
MvStHgL: Multi-View Hypergraph Learning with Spatial-Temporal Periodic Interests for Next POI Recommendation	16
Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching	16
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	16
Conversations with Search Engines: SERP-based Conversational Response Generation	16
Online and Offline Evaluation in Search Clarification	15
ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation	15
Contrastive Clustering Learning for Multi-Behavior Recommendation	15
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	15
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs	15
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	15
Knowledge-Guided Disentangled Representation Learning for Recommender Systems	15
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	15
Collaborative Graph Learning for Session-based Recommendation	14
Personalized, Sequential, Attentive, Metric-Aware Product Search	14
Interaction-aware Drug Package Recommendation via Policy Gradient	14
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	14
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction	13

Learning Robust Sequential Recommenders through Confident Soft Labels	13
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation	13
Time-aware Path Reasoning on Knowledge Graph for Recommendation	13
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation	13
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems	13
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	13
A Multifocal Graph-Based Neural Network Scheme for Topic Event Extraction	13
Denoising Heterogeneous Graph Pre-training Framework for Recommendation	13
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	13
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results	12
Learning to Retrieve User Behaviors for Click-through Rate Estimation	12
How Can Recommender Systems Benefit from Large Language Models: A Survey	12
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	12
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	12
Privacy-Preserving Sequential Recommendation with Collaborative Confusion	12
On the Effectiveness of Sampled Softmax Loss for Item Recommendation	11
Person-action Instance Search in Story Videos: An Experimental Study	11
Knowledge Base Embedding for Sampling-Based Prediction	11
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation	11
Counterfactual Explanation for Fairness in Recommendation	11
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank	11
Inductive Contextual Relation Learning for Personalization	11
The Footprint of Factorization Models and Their Applications in Collaborative Filtering	11
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation	11
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	10
An Intent Taxonomy of Legal Case Retrieval	10
On the Vulnerability of Graph Learning-based Collaborative Filtering	10
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation	10
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning	10
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback	10
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	10
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	10
On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments	10
Relevance Feedback with Brain Signals	10
Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs	10
A Dense Representation Framework for Lexical and Semantic Matching	10
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering	9
Extractive Explanations for Interpretable Text Ranking	9
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	9
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	9
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models	9
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks	9
Building a Coding Assistant via the Retrieval-Augmented Language Model	9
Special Section on Efficiency in Neural Information Retrieval	9
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	9
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing	9
Contextualizing and Expanding Conversational Queries without Supervision	9
A Variational Neural Architecture for Skill-based Team Formation	8
SPEX: A Generic Framework for Enhancing Neural Social Recommendation	8
C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable	8
Augmentation with Neighboring Information for Conversational Recommendation	8
A Knowledge Graph Embedding Model for Answering Factoid Entity Questions	8
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation	8
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	8
Few-shot Learning for Heterogeneous Information Networks	8
Pre-trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1	8
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs	8
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	8
Integrating Representation and Interaction for Context-Aware Document Ranking	8
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	8
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	8
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	8
M 3 Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation	7
ROGER: Ranking-Oriented Generative Retrieval	7
Recognize News Transition from Collective Behavior for News Recommendation	7
Topic Difficulty: Collection and Query Formulation Effects	7
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework	7
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	7
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs	7
A Blueprint of IR Evaluation Integrating Task and User Characteristics	7
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework	7
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	7
Data Augmentation for Sample Efficient and Robust Document Ranking	7
Disentangled Representations Learning for Multi-target Cross-domain Recommendation	7
Bridging Dense and Sparse Maximum Inner Product Search	7
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems	7
ELAKT: Enhancing Locality for Attentive Knowledge Tracing	7
Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences	7
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	7
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	6

Revisiting Conversation Discourse for Dialogue Disentanglement	6
Learning to Learn a Cold-start Sequential Recommender	6
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	6
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	6
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	6
A Survey on Recommender Systems Using Graph Neural Network	6
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	6
Unsupervised Social Bot Detection via Structural Information Theory	6
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model	6
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	6
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction	6
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	6
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	6
Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation	6
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals	6
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	5
Spoken Conversational Context Improves Query Auto-completion in Web Search	5
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals	5
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	5
Understanding Feeling-of-Knowing in Information Search: An EEG Study	5
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems	5
Distributed Recommendation Systems: Survey and Research Directions	5
Personalized Query Expansion with Contextual Word Embeddings	5
Contrastive Modality-Disentangled Learning for Multimodal Recommendation	5
Bias and Debias in Recommender System: A Survey and Future Directions	5
Robust Collaborative Filtering to Popularity Distribution Shift	5
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation	5
Document-level Relation Extraction with Progressive Self-distillation	5
A Review Selection Method Based on Consumer Decision Phases in E-commerce	5
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks	5
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	5
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation	5
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	5
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction	5
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	5
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics	5
Learning Dual-view User Representations for Enhanced Sequential Recommendation	4
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments	4
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	4
Collaborative Sequential Recommendations via Multi-view GNN-transformers	4
Toward Best Practices for Training Multilingual Dense Retrieval Models	4
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	4
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems	4
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching	4
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?	4
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models	4
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	4
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	4
Distributional Fairness-aware Recommendation	4
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	4
Question Tagging via Graph-guided Ranking	4
Combining Graph Convolutional Neural Networks and Label Propagation	4
User Profiling Based on Nonlinguistic Audio Data	4
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	3
Enhancing ID-based Recommendation with Large Language Models	3
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions	3
Incorporating Structural Information into Legal Case Retrieval	3
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	3
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks	3
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	3
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation	3
Graph Neural Collaborative Topic Model for Citation Recommendation	3
Understanding and Predicting User Satisfaction with Conversational Recommender Systems	3
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management	3
Listwise Generative Retrieval Models via a Sequential Learning Process	3
A Review on Question Generation from Natural Language Text	3
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing	3
Multi-interest Diversification for End-to-end Sequential Recommendation	3
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	3
Deep Coupling Network for Multivariate Time Series Forecasting	3
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	3
XLORE 3: A Large-Scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources	3
Addressing Confounding Feature Issue for Causal Recommendation	3
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction	3
LLM-Enhanced Composed Image Retrieval: An Intent Uncertainty-Aware Linguistic-Visual Dual Channel Matching Model	3
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering	3
Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation	3
On the User Behavior Leakage from Recommender System Exposure	3
A Multi-strategy-based Pre-training Method for Cold-start Recommendation	3
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion	3
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search	3
Understanding Diversity in Session-based Recommendation	3
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation	2
Simulating and Modeling the Risk of Conversational Search	2
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation	2
Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation	2
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	2
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems	2
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2	2
Personality-affected Emotion Generation in Dialog Systems	2
Personalized and Diversified: Ranking Search Results in an Integrated Way	2
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	2
An Efficient and Robust Semantic Hashing Framework for Similar Text Search	2
Complex-valued Neural Network-based Quantum Language Models	2
Fast Filtering of Search Results Sorted by Attribute	2