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ACM Transactions on Information Systems, Volume 42
Volume 42, Number 1, January 2024
- Lanning Wei
, Huan Zhao
Neural Architecture Search for GNN-Based Graph Classification. 1:1-1:29 - Molly McGregor
A Systematic Review of Cost, Effort, and Load Research in Information Search and Retrieval, 1972-2020. 2:1-2:39 - Hongyan Xu
Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching. 3:1-3:27 - Jin Zhang
A Review Selection Method Based on Consumer Decision Phases in E-commerce. 4:1-4:27 - Yao Wu
FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems. 5:1-5:26 - Xinhang Li
Conditional Cross-Platform User Engagement Prediction. 6:1-6:28 - Radin Hamidi Rad
A Variational Neural Architecture for Skill-based Team Formation. 7:1-7:28 - Liangliang He
MAN: Memory-augmented Attentive Networks for Deep Learning-based Knowledge Tracing. 8:1-8:22 - Hai Chen
Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation. 9:1-9:27 - Mingshi Yan
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. 10:1-10:26 - Tetsuya Sakai
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance. 11:1-11:36 - Wenjie Wang
Causal Disentangled Recommendation against User Preference Shifts. 12:1-12:27 - Yazhou Zhang
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. 13:1-13:32 - Chongming Gao
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. 14:1-14:27 - Zhu Sun
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. 15:1-15:28 - Dongjing Wang
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation. 16:1-16:30 - Weiwei Sun
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. 17:1-17:29 - Yingrong Qin
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. 18:1-18:24 - Lida Rashidi
The Impact of Judgment Variability on the Consistency of Offline Effectiveness Measures. 19:1-19:31 - Sebastian Bruch
An Analysis of Fusion Functions for Hybrid Retrieval. 20:1-20:35 - Kevin Roitero
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. 21:1-21:26 - Heyan Huang
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning. 22:1-22:24 - Tetsuya Sakai
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. 23:1-23:31 - Qing Yin
Understanding Diversity in Session-based Recommendation. 24:1-24:34 - Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. 25:1-25:24 - Haoyang Li
Invariant Node Representation Learning under Distribution Shifts with Multiple Latent Environments. 26:1-26:30 - Chuan Qin
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. 27:1-27:32 - Yuxin Ni
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. 28:1-28:27 - Zhichao Xu
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. 29:1-29:29 - Chang Meng
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. 30:1-30:27 - Josiane Mothe
Selective Query Processing: A Risk-Sensitive Selection of Search Configurations. 31:1-31:35 - Zifeng Cheng
Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling. 32:1-32:27
Volume 42, Number 2, March 2024
- Yang Yang
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation. 33:1-33:27 - Yitong Yao
A Dual-branch Learning Model with Gradient-balanced Loss for Long-tailed Multi-label Text Classification. 34:1-34:24 - Tian Lan
Towards Efficient Coarse-grained Dialogue Response Selection. 35:1-35:32 - Canjia Li
PARADE: Passage Representation Aggregation forDocument Reranking. 36:1-36:26 - Jiayi Xie
Hierarchical Transformer with Spatio-temporal Context Aggregation for Next Point-of-interest Recommendation. 37:1-37:30 - Chen Xu
Syntactic-Informed Graph Networks for Sentence Matching. 38:1-38:29 - Xinyu Zhang
Toward Best Practices for Training Multilingual Dense Retrieval Models. 39:1-39:33 - Yixiao Ma
Incorporating Structural Information into Legal Case Retrieval. 40:1-40:28 - Yatong Sun
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals. 41:1-41:33 - Sebastian Bruch
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. 42:1-42:43 - Shengyu Zhang
SLED: Structure Learning based Denoising for Recommendation. 43:1-43:31 - Yuhan Quan
Alleviating Video-length Effect for Micro-video Recommendation. 44:1-44:24 - Sannyuya Liu
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems. 45:1-45:28 - Yanrui Niu
Person-action Instance Search in Story Videos: An Experimental Study. 46:1-46:34 - Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. 47:1-47:26 - Lei Guo
DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation. 48:1-48:27 - Longxuan Ma
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue. 49:1-49:29 - Yupeng Hu
Semantic Collaborative Learning for Cross-Modal Moment Localization. 50:1-50:26 - Ke Wang
Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. 51:1-51:29 - Xiaoyu Shi
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. 52:1-52:30 - Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. 53:1-53:25 - Yifang Qin
A Diffusion Model for POI Recommendation. 54:1-54:27 - Clemencia Siro, Mohammad Aliannejadi
Understanding and Predicting User Satisfaction with Conversational Recommender Systems. 55:1-55:37 - Chao Wang
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. 56:1-56:32 - Shicheng Xu
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. 57:1-57:32 - Zhongwei Wan
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. 58:1-58:26 - Mengyuan Jing
Contrastive Self-supervised Learning in Recommender Systems: A Survey. 59:1-59:39 - Zixuan Yi
Contrastive Graph Prompt-tuning for Cross-domain Recommendation. 60:1-60:28 - Elias Bassani
Personalized Query Expansion with Contextual Word Embeddings. 61:1-61:35 - Yunqiu Shao
An Intent Taxonomy of Legal Case Retrieval. 62:1-62:27
Volume 42, Number 3, May 2024
- Zhizhuo Yin
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation. 63:1-63:30 - Wei Yuan
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. 64:1-64:26 - Bogeum Choi
Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges. 65:1-65:32 - Zihao Li
DiffuRec: A Diffusion Model for Sequential Recommendation. 66:1-66:28 - Xuelian Ni
Community Preserving Social Recommendation with Cyclic Transfer Learning. 67:1-67:36 - Xiaokun Zhang
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. 68:1-68:28 - Fernando Giner
Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences. 69:1-69:35 - Yuting Zhang
Triple Dual Learning for Opinion-based Explainable Recommendation. 70:1-70:27 - Yitao Zhang
rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus. 71:1-71:31 - Kaixi Hu
Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. 72:1-72:35 - Mark Stevenson
Stopping Methods for Technology-assisted Reviews Based on Point Processes. 73:1-73:37 - Lang Mei
Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models. 74:1-74:27 - Jiaxin Wu
(Un)likelihood Training for Interpretable Embedding. 75:1-75:26 - Tianzi Zang
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. 76:1-76:30 - Antonios Minas Krasakis
Contextualizing and Expanding Conversational Queries without Supervision. 77:1-77:30 - Chaoran Cui
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing. 78:1-78:24 - Dominika Michalkova
Understanding Feeling-of-Knowing in Information Search: An EEG Study. 79:1-79:30 - An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. 80:1-80:25 - Shuting Wang
Personalized and Diversified: Ranking Search Results in an Integrated Way. 81:1-81:25 - Wenjie Fu
Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning. 82:1-82:29 - Hongzu Su
Cross-domain Recommendation via Dual Adversarial Adaptation. 83:1-83:26 - Tian Lan
Exploring Dense Retrieval for Dialogue Response Selection. 84:1-84:29 - Shaowen Peng
Less is More: Removing Redundancy of Graph Convolutional Networks for Recommendation. 85:1-85:26 - Jingtong Gao
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. 86:1-86:23 - Jiechen Xu
On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments. 87:1-87:26
Volume 42, Number 4, July 2024
- Chen Gao
Causal Inference in Recommender Systems: A Survey and Future Directions. 88:1-88:32 - Wayne Xin Zhao
Dense Text Retrieval Based on Pretrained Language Models: A Survey. 89:1-89:60 - Zhengbang Zhu
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. 90:1-90:32 - Haokai Ma
Triple Sequence Learning for Cross-domain Recommendation. 91:1-91:29 - Hédi Razgallah, Michalis Vlachos
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. 92:1-92:26 - Ziyi Ye
Relevance Feedback with Brain Signals. 93:1-93:37 - Wei Chen
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. 94:1-94:25 - Tung Thanh Vuong
Predicting Representations of Information Needs from Digital Activity Context. 95:1-95:29 - Yutong Bai
Intent-Oriented Dynamic Interest Modeling for Personalized Web Search. 96:1-96:30 - Hao Liu
MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation. 97:1-97:24 - Jiancan Wu
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. 98:1-98:26 - John P. Lalor
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning Pipelines. 99:1-99:41 - Yunshan Ma
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. 100:1-100:23 - Jiezhu Cheng
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training. 101:1-101:28 - Shangkun Che
Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach. 102:1-102:37 - Shengyu Zhang
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. 103:1-103:27 - Qizhi Wan
Token-Event-Role Structure-Based Multi-Channel Document-Level Event Extraction. 104:1-104:27 - Shuzhe Li
MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation. 105:1-105:26 - Xiangmeng Wang
Counterfactual Explanation for Fairness in Recommendation. 106:1-106:30 - Yang Fang
Few-shot Learning for Heterogeneous Information Networks. 107:1-107:24 - Jun Li
Filter-based Stance Network for Rumor Verification. 108:1-108:28 - Shujie Li
Improving Semi-Supervised Text Classification with Dual Meta-Learning. 109:1-109:28 - Rui Zha
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. 110:1-110:28 - Tianshi Wang
Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval. 111:1-111:27 - Yanjun Pu
ELAKT: Enhancing Locality for Attentive Knowledge Tracing. 112:1-112:27
Volume 42, Number 5, September 2024
- Sebastian Bruch
Special Section on Efficiency in Neural Information Retrieval. 113:1-113:4 - David Rau
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers. 114:1-114:27 - Arian Askari
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker. 115:1-115:32 - Thibault Formal
Towards Effective and Efficient Sparse Neural Information Retrieval. 116:1-116:46 - Jurek Leonhardt
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. 117:1-117:34 - Qi Liu
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. 118:1-118:28 - Abhijit Anand
Data Augmentation for Sample Efficient and Robust Document Ranking. 119:1-119:29 - Surong Yan
Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation. 120:1-120:26
- Yen-Chieh Lien
Generalized Weak Supervision for Neural Information Retrieval. 121:1-121:26 - Alexander Frummet
Cooking with Conversation: Enhancing User Engagement and Learning with a Knowledge-Enhancing Assistant. 122:1-122:29 - Yunchang Zhu
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. 123:1-123:29 - Jian Wang
Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue. 124:1-124:27 - Enyue Yang
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. 125:1-125:50 - Zhirui Deng
Multi-grained Document Modeling for Search Result Diversification. 126:1-126:22 - Kun Yi
Deep Coupling Network for Multivariate Time Series Forecasting. 127:1-127:28 - Hanzhe Li
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation. 128:1-128:31 - Xing Tang
DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs. 129:1-129:23 - Junfan Chen
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification. 130:1-130:25 - Hao Yang
Distributional Fairness-aware Recommendation. 131:1-131:28 - Chaoyu Shi
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. 132:1-132:37 - Yubao Tang
Listwise Generative Retrieval Models via a Sequential Learning Process. 133:1-133:31 - Zhiyuan Wen
Personality-affected Emotion Generation in Dialog Systems. 134:1-134:27 - Changxin Tian
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. 135:1-135:29 - Zhan Su
Passage-aware Search Result Diversification. 136:1-136:29 - Xinghua Zhang
Cross-Domain NER under a Divide-and-Transfer Paradigm. 137:1-137:32 - Yu-Xiang Zhang
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner. 138:1-138:28 - Fei Liu
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. 139:1-139:26 - Pengyang Shao
Average User-Side Counterfactual Fairness for Collaborative Filtering. 140:1-140:26
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