ACM Transactions on Information Systems

Article	Citations
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks	103
Bias and Debias in Recommender System: A Survey and Future Directions	101
Deep Learning for Sequential Recommendation	93
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	88
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification	78
FNED	77
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	64
Challenges in Building Intelligent Open-domain Dialog Systems	62
A Survey on the Fairness of Recommender Systems	41
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	40
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation	35
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users	35
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis	33
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach	33
Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval	31
Reinforcement Learning–based Collective Entity Alignment with Adaptive Features	30
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	28
Unbiased Learning to Rank	27
How Am I Doing?: Evaluating Conversational Search Systems Offline	26
Personalized News Recommendation: Methods and Challenges	26
Toward Dynamic User Intention	25
Collaborative Graph Learning for Session-based Recommendation	24
Semantic Models for the First-Stage Retrieval: A Comprehensive Review	23
CRSAL	23
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems	23

Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation	23
Towards Question-based High-recall Information Retrieval	22
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting	22
LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation	21
Bots in Social and Interaction Networks	21
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation	20
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	20
Decentralized Collaborative Learning Framework for Next POI Recommendation	20
Feature-Level Attentive ICF for Recommendation	19
When to Stop Reviewing in Technology-Assisted Reviews	18
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation	18
Multi-interest Diversification for End-to-end Sequential Recommendation	17
Personalizing Medication Recommendation with a Graph-Based Approach	17
Combining Graph Convolutional Neural Networks and Label Propagation	17
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations	17
From Users’ Intentions to IF-THEN Rules in the Internet of Things	16
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning	16
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation	16
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	16
Retrieval Evaluation Measures that Agree with Users’ SERP Preferences	15
AutoML for Deep Recommender Systems: A Survey	15
Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval	15
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation	15
Exploiting Positional Information for Session-Based Recommendation	15
Time-aware Path Reasoning on Knowledge Graph for Recommendation	15
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation	15
STARec: Adaptive Learning with Spatiotemporal and Activity Influence for POI Recommendation	15
Interaction-aware Drug Package Recommendation via Policy Gradient	15
Personalized Prompt Learning for Explainable Recommendation	14
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment	14
A Survey on Heterogeneous One-class Collaborative Filtering	14
Federated User Modeling from Hierarchical Information	14
Assessing Top- Preferences	14
Block-Aware Item Similarity Models for Top- N Recommendation	14
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion	13
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach	13
Knowledge-Guided Disentangled Representation Learning for Recommender Systems	13
Addressing Confounding Feature Issue for Causal Recommendation	13
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks	12
Conversations with Search Engines: SERP-based Conversational Response Generation	12
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants	12
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback	12
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems	12
Learning to Learn a Cold-start Sequential Recommender	12
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training	11
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge	11
What and How long: Prediction of Mobile App Engagement	11
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation	11
Topic Difficulty: Collection and Query Formulation Effects	11
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks	11

Few-shot Aspect Category Sentiment Analysis via Meta-learning	11
Meaningful Answer Generation of E-Commerce Question-Answering	11
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation	11
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network	11
Dual Gated Graph Attention Networks with Dynamic Iterative Training for Cross-Lingual Entity Alignment	11
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs	11
Sequential Recommendation with Multiple Contrast Signals	11
A Next Basket Recommendation Reality Check	11
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations	11
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review	11
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities	10
Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media	10
Graph-based Regularization on Embedding Layers for Recommendation	10
A Review on Question Generation from Natural Language Text	10
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search	10
Meta-evaluation of Conversational Search Evaluation Metrics	9
Keeping the Data Lake in Form	9
On the Study of Transformers for Query Suggestion	9
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	9
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks	9
Contrastive Learning for Legal Judgment Prediction	9
Unstructured Text Enhanced Open-Domain Dialogue System: A Systematic Survey	9
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization	9
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation	9
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation	9
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank	9
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering	9
On the User Behavior Leakage from Recommender System Exposure	9
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval	9
Target-guided Emotion-aware Chat Machine	8
A Multi-strategy-based Pre-training Method for Cold-start Recommendation	8
SPEX: A Generic Framework for Enhancing Neural Social Recommendation	8
Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models	8
Theories of Conversation for Conversational IR	8
Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation	8
Safe Exploration for Optimizing Contextual Bandits	8
Spoken Conversational Context Improves Query Auto-completion in Web Search	8
OutdoorSent	8
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization	8
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots	8
Integrating Collaboration and Leadership in Conversational Group Recommender Systems	8
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model	8
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	8
Understanding the “Pathway” Towards a Searcher’s Learning Objective	8
Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems	7
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation	7
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	7
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models	7
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling	7
“What Can I Cook with these Ingredients?” - Understanding Cooking-Related Information Needs in Conversational Search	7
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment	7
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks	7
Dynamic Graph Reasoning for Conversational Open-Domain Question Answering	7
End-to-End Neural Matching for Semantic Location Prediction of Tweets	7
Toward Comprehensive User and Item Representations via Three-tier Attention Network	7
Explaining Text Matching on Neural Natural Language Inference	7
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top- N Recommendation	7
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation	7
On the Effectiveness of Sampled Softmax Loss for Item Recommendation	6
Embedding Hierarchical Structures for Venue Category Representation	6
Graph Neural Pre-training for Recommendation with Side Information	6
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation	6
Meta-Information in Conversational Search	6
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management	6
A Graph Theoretic Approach for Multi-Objective Budget Constrained Capsule Wardrobe Recommendation	6
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing	6
Dual-factor Generation Model for Conversation	6
Improving Transformer-based Sequential Recommenders through Preference Editing	6
Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization	6
MyrrorBot : A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services	6
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	6
Anytime Ranking on Document-Ordered Indexes	6
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation	6
PONE	6
Dense Text Retrieval Based on Pretrained Language Models: A Survey	6
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	6
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering	5
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems	5
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs	5
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants	5

Nonuniform Hyper-Network Embedding with Dual Mechanism	5
Efficient On-Device Session-Based Recommendation	5
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation	5
Direction-Aware User Recommendation Based on Asymmetric Network Embedding	5
A Critical Study on Data Leakage in Recommender System Offline Evaluation	5
Graph Neural Collaborative Topic Model for Citation Recommendation	5
Disentangled Representations Learning for Multi-target Cross-domain Recommendation	5
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation	5
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	5
Personalized, Sequential, Attentive, Metric-Aware Product Search	5
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues	5
Learning a Hierarchical Intent Model for Next-Item Recommendation	5
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation	5
Question Tagging via Graph-guided Ranking	5
Using an Inverted Index Synopsis for Query Latency and Performance Prediction	5
Extractive Explanations for Interpretable Text Ranking	5
Proactive Privacy-preserving Learning for Cross-modal Retrieval	5
Graph Co-Attentive Session-based Recommendation	5
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings	5
A Hybrid Framework for Session Context Modeling	5
RLPS: A Reinforcement Learning–Based Framework for Personalized Search	4
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation	4
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games	4
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition	4
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph	4
Social Context-aware Person Search in Videos via Multi-modal Cues	4
Understanding Relevance Judgments in Legal Case Retrieval	4
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction	4
Faceted Search with Object Ranking and Answer Size Constraints	4
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	4
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising	4
Modeling Global and Local Interactions for Online Conversation Recommendation	4
Contrastive Self-supervised Learning in Recommender Systems: A Survey	4
Simulating and Modeling the Risk of Conversational Search	4
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation	4
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews	4
VM-NSP	4
Leveraging Narrative to Generate Movie Script	4
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder	4
Microtask Detection	4
I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts	3
An Attention-based Deep Relevance Model for Few-shot Document Filtering	3
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation	3
CATS: Customizable Abstractive Topic-based Summarization	3
Scaling High-Quality Pairwise Link-Based Similarity Retrieval on Billion-Edge Graphs	3
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?	3
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results	3
Efficient Document-at-a-Time and Score-at-a-Time Query Evaluation for Learned Sparse Representations	3
Learning to Respond with Your Favorite Stickers	3
Debiased Recommendation with User Feature Balancing	3
Conversational Search and Recommendation: Introduction to the Special Issue	3
PARADE: Passage Representation Aggregation forDocument Reranking	3
Generating Relevant and Informative Questions for Open-Domain Conversations	3
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	3
A Variational Neural Architecture for Skill-based Team Formation	3
A Re-classification of Information Seeking Tasks and Their Computational Solutions	3
The Network Visibility Problem	3
TSSuBERT: How to Sum Up Multiple Years of Reading in a Few Tweets	3
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance	3
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation	3
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing	3
Weighting Passages Enhances Accuracy	3
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation	3