default search action
ACM Transactions on Information Systems, Volume 41
Volume 41, Number 1, January 2023
- Pei-Chi Lo
, Ee-Peng Lim
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach. 1:1-1:38 - Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen
Generating Relevant and Informative Questions for Open-Domain Conversations. 2:1-2:30 - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu
Interaction-aware Drug Package Recommendation via Policy Gradient. 3:1-3:32 - Ting Ma
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation. 4:1-4:27 - Junqi Zhang
User Behavior Simulation for Search Result Re-ranking. 5:1-5:35 - Liwei Huang, Yutao Ma
Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. 6:1-6:32 - Bing Li, Peng Yang, Hanlin Zhao, Penghui Zhang, Zijian Liu:
Hierarchical Sliding Inference Generator for Question-driven Abstractive Answer Summarization. 7:1-7:27 - Chao Feng, Defu Lian
Reinforcement Routing on Proximity Graph for Efficient Recommendation. 8:1-8:27 - Xiuying Chen, Mingzhe Li, Shen Gao, Zhangming Chan, Dongyan Zhao, Xin Gao, Xiangliang Zhang
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order. 9:1-9:30 - Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao:
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. 10:1-10:23 - Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Sequential Recommendation with Multiple Contrast Signals. 11:1-11:27 - Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation. 12:1-12:25 - Yuan Tian, Ke Zhou, Dan Pelleg:
Characterization and Prediction of Mobile Tasks. 13:1-13:39 - Xu Chen, Ya Zhang
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. 14:1-14:31 - Weinan Zhang
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. 15:1-15:30 - Jie Zou, Mohammad Aliannejadi
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. 16:1-16:25 - Yingying Zhang, Xian Wu
Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation. 17:1-17:24 - Bogeum Choi
The Influences of a Knowledge Representation Tool on Searchers with Varying Cognitive Abilities. 18:1-18:35 - Hui Wang
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. 19:1-19:28 - Qizhi Wan
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction. 20:1-20:27 - Haonan Chen
Integrating Representation and Interaction for Context-Aware Document Ranking. 21:1-21:23 - Bin Liang
Few-shot Aspect Category Sentiment Analysis via Meta-learning. 22:1-22:31 - Shiwei Zhao
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games. 23:1-23:29 - Chuhan Wu
Personalized News Recommendation: Methods and Challenges. 24:1-24:50 - Rossano Gaeta
Reconciling the Quality vs Popularity Dichotomy in Online Cultural Markets. 25:1-25:34
Volume 41, Number 2, April 2023
- Yuyue Zhao
Time-aware Path Reasoning on Knowledge Graph for Recommendation. 26:1-26:26 - Kai Sun
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. 27:1-27:29 - Richong Zhang
Knowledge Base Embedding for Sampling-Based Prediction. 28:1-28:25 - Chen Wu
Are Neural Ranking Models Robust? 29:1-29:36 - Kang Liu
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. 30:1-30:27 - Bowen Hao
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. 31:1-31:24 - Wayne Xin Zhao
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. 32:1-32:41 - Hanrui Wu
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. 33:1-33:25 - Xubo Qin
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. 34:1-34:36 - Peng-Fei Zhang
Proactive Privacy-preserving Learning for Cross-modal Retrieval. 35:1-35:23 - Alejandro Moreo
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text Classification. 36:1-36:37 - Jianming Zheng
Sequence-aware Knowledge Distillation for a Lightweight Event Representation. 37:1-37:30 - Suchana Datta
A Relative Information Gain-based Query Performance Prediction Framework with Generated Query Variants. 38:1-38:31 - Hang Zhang
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. 39:1-39:30 - Zhaohao Lin
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. 40:1-40:37 - Lizhi Cheng
Capture Salient Historical Information: A Fast and Accurate Non-autoregressive Model for Multi-turn Spoken Language Understanding. 41:1-41:32 - Tianzi Zang
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. 42:1-42:39 - Yiqi Wang
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. 43:1-43:27 - Zhenya Huang
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. 44:1-44:29 - Jie Zou
Learning to Ask: Conversational Product Search via Representation Learning. 45:1-45:27 - Qi Liu
Federated User Modeling from Hierarchical Information. 46:1-46:33 - Haolun Wu
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. 47:1-47:29 - Hongyu Lu
User Perception of Recommendation Explanation: Are Your Explanations What Users Need? 48:1-48:31 - Stefano Giovanni Rizzo
Ranking Models for the Temporal Dimension of Text. 49:1-49:34 - Hao Fei
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. 50:1-50:32
Volume 41, Number 3, July 2023
- Hongzhi Yin
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. 51:1-51:5 - Yifan Wang
A Survey on the Fairness of Recommender Systems. 52:1-52:43 - Xiangnan He
Addressing Confounding Feature Issue for Causal Recommendation. 53:1-53:23 - Lei Zhu
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval. 54:1-54:25 - Zhongzhou Liu
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. 55:1-55:27 - Xue Dong
Dual Preference Distribution Learning for Item Recommendation. 56:1-56:22 - Xin Xin
On the User Behavior Leakage from Recommender System Exposure. 57:1-57:25 - Thanh Toan Nguyen, Nguyen Duc Khang Quach, Thanh Tam Nguyen, Thanh Trung Huynh, Viet Hung Vu, Phi Le Nguyen, Jun Jo, Quoc Viet Hung Nguyen:
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks. 58:1-58:24 - Haibo Ye
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. 59:1-59:28 - Ziqian Chen
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. 60:1-60:26 - Harrie Oosterhuis
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank. 61:1-61:33
- Hang Li
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. 62:1-62:40 - Naicheng Guo
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. 63:1-63:26 - Desheng Cai
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. 64:1-64:27 - Mubashir Imran
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. 65:1-65:30 - Jing Long
Decentralized Collaborative Learning Framework for Next POI Recommendation. 66:1-66:25 - Jiawei Chen
Bias and Debias in Recommender System: A Survey and Future Directions. 67:1-67:39 - Haoyu Song
A Stack-Propagation Framework for Low-Resource Personalized Dialogue Generation. 68:1-68:36 - Yanyan Shen
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. 69:1-69:26 - Bi Liang
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs. 70:1-70:31 - Muyang Ma
Improving Transformer-based Sequential Recommenders through Preference Editing. 71:1-71:24 - Lei Han
A Data-Driven Analysis of Behaviors in Data Curation Processes. 72:1-72:35 - Minghan Li
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. 73:1-73:35 - Siwei Liu
Graph Neural Pre-training for Recommendation with Side Information. 74:1-74:28 - Yitong Ji
A Critical Study on Data Leakage in Recommender System Offline Evaluation. 75:1-75:27 - Yunqiu Shao
Understanding Relevance Judgments in Legal Case Retrieval. 76:1-76:32 - Yang Deng
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. 77:1-77:25 - Yu Zhao
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation. 78:1-78:29 - Ming Yan
Achieving Human Parity on Visual Question Answering. 79:1-79:40 - Yakun Li
Preference-aware Graph Attention Networks for Cross-Domain Recommendations with Collaborative Knowledge Graph. 80:1-80:26 - Yi Zhang
Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder. 81:1-81:28
Volume 41, Number 4, October 2023
- Hongzhi Yin
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. 82:1-82:6 - Yuchen Zhou
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. 83:1-83:26 - Romain Deffayet
Evaluating the Robustness of Click Models to Policy Distributional Shift. 84:1-84:28 - Xiaobo Guo
Disentangled Representations Learning for Multi-target Cross-domain Recommendation. 85:1-85:27 - Lyuxin Xue
Learning Dual-view User Representations for Enhanced Sequential Recommendation. 86:1-86:26 - Senrong Xu
On the Vulnerability of Graph Learning-based Collaborative Filtering. 87:1-87:28 - Jurek Leonhardt
Extractive Explanations for Interpretable Text Ranking. 88:1-88:31 - Chen Wu
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. 89:1-89:27 - Honglei Zhang
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. 90:1-90:28 - Liyang He
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. 91:1-91:31 - Qiming Li
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. 92:1-92:23 - Qing Meng
Recognize News Transition from Collective Behavior for News Recommendation. 93:1-93:30 - Lingzhi Wang
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. 94:1-94:27 - Yan Zhao
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing. 95:1-95:32
- Joel Mackenzie
Efficient Document-at-a-time and Score-at-a-time Query Evaluation for Learned Sparse Representations. 96:1-96:28 - Xinyue Zhang
Multi-level Attention-based Domain Disentanglement for BCDR. 97:1-97:24 - Jiarui Qin
Learning to Retrieve User Behaviors for Click-through Rate Estimation. 98:1-98:31 - Zijun Yao
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. 99:1-99:29 - Sriram Somanchi
Examining User Heterogeneity in Digital Experiments. 100:1-100:34 - Ruiqi Zheng
AutoML for Deep Recommender Systems: A Survey. 101:1-101:38 - Xin Xia
Efficient On-Device Session-Based Recommendation. 102:1-102:24 - Lei Li
Personalized Prompt Learning for Explainable Recommendation. 103:1-103:26 - Jiajun Cui
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. 104:1-104:26 - Zifeng Cheng
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction. 105:1-105:27 - Jing Yi
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. 106:1-106:25 - Kun Zhou
Enhancing Multi-View Smoothness for Sequential Recommendation Models. 107:1-107:27 - Dugang Liu
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. 108:1-108:26 - Alexis Dusart
TSSuBERT: How to Sum Up Multiple Years of Reading in a Few Tweets. 109:1-109:33 - Sheng-Chieh Lin
A Dense Representation Framework for Lexical and Semantic Matching. 110:1-110:29 - Zihua Si
Enhancing Recommendation with Search Data in a Causal Learning Manner. 111:1-111:31 - Ronghui Xu
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. 112:1-112:24 - Han Zhang
Contrastive Learning for Legal Judgment Prediction. 113:1-113:25 - Mengyue Yang
Debiased Recommendation with User Feature Balancing. 114:1-114:25 - Jiazhan Feng
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation. 115:1-115:27 - Ming Li
A Next Basket Recommendation Reality Check. 116:1-116:29
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-15 19:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: