ACM Transactions on Information Systems

Article	Citations
Bias and Debias in Recommender System: A Survey and Future Directions	170
Deep Learning for Sequential Recommendation	129
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	105
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	95
A Survey on the Fairness of Recommender Systems	77
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	75
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	58
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	49
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation	49
Personalized News Recommendation: Methods and Challenges	49
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	45
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features	41
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	38
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis	36
Personalized Prompt Learning for Explainable Recommendation	35
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	35
Collaborative Graph Learning for Session-based Recommendation	35
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	34
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	34
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion	33
Decentralized Collaborative Learning Framework for Next POI Recommendation	33
Unbiased Learning to Rank	33
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	31
How Am I Doing?: Evaluating Conversational Search Systems Offline	30
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	29

Toward Dynamic User Intention	28
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation	28
Interaction-aware Drug Package Recommendation via Policy Gradient	27
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations	26
Combining Graph Convolutional Neural Networks and Label Propagation	25
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	24
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation	24
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	24
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	23
From Users’ Intentions to IF-THEN Rules in the Internet of Things	23
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation	23
Multi-interest Diversification for End-to-end Sequential Recommendation	22
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach	22
Time-aware Path Reasoning on Knowledge Graph for Recommendation	21
Personalizing Medication Recommendation with a Graph-Based Approach	21
Federated User Modeling from Hierarchical Information	21
AutoML for Deep Recommender Systems: A Survey	21
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network	20
Feature-Level Attentive ICF for Recommendation	19
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation	18
A Review on Question Generation from Natural Language Text	18
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	18
Exploiting Positional Information for Session-Based Recommendation	18
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	18
Sequential Recommendation with Multiple Contrast Signals	18
Addressing Confounding Feature Issue for Causal Recommendation	18
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	17
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	17
Learning to Learn a Cold-start Sequential Recommender	17
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training	17
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-NRecommendation	17
Dense Text Retrieval Based on Pretrained Language Models: A Survey	17
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	17
Unsupervised Social Bot Detection via Structural Information Theory	16
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation	16
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	16
Assessing Top- Preferences	16
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment	16
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	16
Retrieval Evaluation Measures that Agree with Users’ SERP Preferences	16
Few-shot Aspect Category Sentiment Analysis via Meta-learning	15
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	15
Knowledge-Guided Disentangled Representation Learning for Recommender Systems	15
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation	15
On the User Behavior Leakage from Recommender System Exposure	15
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder	15
A Next Basket Recommendation Reality Check	15
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	15
Contrastive Self-supervised Learning in Recommender Systems: A Survey	14
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	14

Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants	14
Conversations with Search Engines: SERP-based Conversational Response Generation	14
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	14
What and How long: Prediction of Mobile App Engagement	13
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation	13
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	13
Meaningful Answer Generation of E-Commerce Question-Answering	13
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks	13
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	13
Contrastive Learning for Legal Judgment Prediction	13
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems	13
Topic Difficulty: Collection and Query Formulation Effects	13
Efficient On-Device Session-Based Recommendation	13
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank	12
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling	12
Meta-evaluation of Conversational Search Evaluation Metrics	12
On the Study of Transformers for Query Suggestion	12
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs	12
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback	12
Graph Neural Pre-training for Recommendation with Side Information	11
A Multi-strategy-based Pre-training Method for Cold-start Recommendation	11
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	11
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation	11
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey	11
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation	11
Target-guided Emotion-aware Chat Machine	11
Integrating Collaboration and Leadership in Conversational Group Recommender Systems	11
On the Effectiveness of Sampled Softmax Loss for Item Recommendation	11
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing	10
A Critical Study on Data Leakage in Recommender System Offline Evaluation	10
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search	10
SPEX: A Generic Framework for Enhancing Neural Social Recommendation	10
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots	10
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	10
Spoken Conversational Context Improves Query Auto-completion in Web Search	10
Toward Comprehensive User and Item Representations via Three-tier Attention Network	10
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	10
Disentangled Representations Learning for Multi-target Cross-domain Recommendation	10
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation	9
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	9
Improving Transformer-based Sequential Recommenders through Preference Editing	9
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	9
Theories of Conversation for Conversational IR	9
Understanding Relevance Judgments in Legal Case Retrieval	9
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks	9
DiffuRec: A Diffusion Model for Sequential Recommendation	9
User Perception of Recommendation Explanation: Are Your Explanations What Users Need?	9
Reinforcement Routing on Proximity Graph for Efficient Recommendation	8
PONE	8
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment	8
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	8
Extractive Explanations for Interpretable Text Ranking	8
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization	8
Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation	8
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	8
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation	8
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model	8
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation	8
Understanding the “Pathway” Towards a Searcher’s Learning Objective	8
Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization	8
MyrrorBot : A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services	8
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing	8
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	8
How Can Recommender Systems Benefit from Large Language Models: A Survey	8
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	7
PARADE: Passage Representation Aggregation forDocument Reranking	7
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management	7
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	7
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing	7
“What Can I Cook with these Ingredients?” - Understanding Cooking-Related Information Needs in Conversational Search	7
Causal Inference in Recommender Systems: A Survey and Future Directions	7
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks	7
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering	7
Proactive Privacy-preserving Learning for Cross-modal Retrieval	7
Anytime Ranking on Document-Ordered Indexes	7
Efficient Document-at-a-Time and Score-at-a-Time Query Evaluation for Learned Sparse Representations	7
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing	7
Meta-Information in Conversational Search	7
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	7
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	7

A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation	7
TSSuBERT: How to Sum Up Multiple Years of Reading in a Few Tweets	7
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation	7
Multi-level Attention-based Domain Disentanglement for BCDR	6
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph	6
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	6
Graph Neural Collaborative Topic Model for Citation Recommendation	6
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs	6
Graph Co-Attentive Session-based Recommendation	6
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings	6
Embedding Hierarchical Structures for Venue Category Representation	6
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation	6
A Hybrid Framework for Session Context Modeling	6
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	6
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	6
Enhancing Recommendation with Search Data in a Causal Learning Manner	6
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues	6
A Diffusion Model for POI Recommendation	6
RLPS: A Reinforcement Learning–Based Framework for Personalized Search	6
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines	6
Personalized, Sequential, Attentive, Metric-Aware Product Search	6
Social Context-aware Person Search in Videos via Multi-modal Cues	5
Community Preserving Social Recommendation with Cyclic Transfer Learning	5
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction	5
Enhancing Multi-View Smoothness for Sequential Recommendation Models	5
Toward Best Practices for Training Multilingual Dense Retrieval Models	5
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	5
VM-NSP	5
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation	5
Debiased Recommendation with User Feature Balancing	5
Conversational Search and Recommendation: Introduction to the Special Issue	5
Simulating and Modeling the Risk of Conversational Search	5
Learning a Hierarchical Intent Model for Next-Item Recommendation	5
Question Tagging via Graph-guided Ranking	5
Integrating Representation and Interaction for Context-Aware Document Ranking	5
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	5
Hyperspherical Variational Co-embedding for Attributed Networks	5
Achieving Human Parity on Visual Question Answering	5
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation	5
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	5
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation	5
A Variational Neural Architecture for Skill-based Team Formation	5
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System	5
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	4
Does More Context Help? Effects of Context Window and Application Source on Retrieval Performance	4
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset	4
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval	4
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation	4
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction	4
Leveraging Narrative to Generate Movie Script	4
Modeling Global and Local Interactions for Online Conversation Recommendation	4
CATS: Customizable Abstractive Topic-based Summarization	4
Generating Relevant and Informative Questions for Open-Domain Conversations	4
Faceted Search with Object Ranking and Answer Size Constraints	4
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	4
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	4
A Re-classification of Information Seeking Tasks and Their Computational Solutions	4
Learning to Respond with Your Favorite Stickers	4
Microtask Detection	4
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals	4
An Intent Taxonomy of Legal Case Retrieval	4
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs	3
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks	3
Learning Dual-view User Representations for Enhanced Sequential Recommendation	3
Recognize News Transition from Collective Behavior for News Recommendation	3
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	3
Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering	3
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order	3
An Analysis of Fusion Functions for Hybrid Retrieval	3
User Behavior Simulation for Search Result Re-ranking	3
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction	3
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets	3
Neural Architecture Search for GNN-Based Graph Classification	3
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?	3
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data	3
Learning to Retrieve User Behaviors for Click-through Rate Estimation	3
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach	3
Triple Sequence Learning for Cross-domain Recommendation	3
Alleviating Video-length Effect for Micro-video Recommendation	3
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation	3
Evaluating the Robustness of Click Models to Policy Distributional Shift	3
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972–2020	3
Complex-valued Neural Network-based Quantum Language Models	3
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching	3
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation	3
Weighting Passages Enhances Accuracy	3
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model	3
I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts	3
The Network Visibility Problem	3
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance	3
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation	3