- Harrie Oosterhuis:
Doubly Robust Estimation for Correcting Position Bias in Click Feedback for Unbiased Learning to Rank. ACM Trans. Inf. Syst. 41(3): 61:1-61:33 (2023) - Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. ACM Trans. Inf. Syst. 41(2): 34:1-34:36 (2023) - Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu:
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41(4): 98:1-98:31 (2023) - Stefano Giovanni Rizzo, Matteo Brucato, Danilo Montesi:
Ranking Models for the Temporal Dimension of Text. ACM Trans. Inf. Syst. 41(2): 49:1-49:34 (2023) - Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao:
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. ACM Trans. Inf. Syst. 41(1): 10:1-10:23 (2023) - Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Shaoping Ma:
Understanding Relevance Judgments in Legal Case Retrieval. ACM Trans. Inf. Syst. 41(3): 76:1-76:32 (2023) - Yanyan Shen, Lifan Zhao, Weiyu Cheng, Zibin Zhang, Wenwen Zhou, Kangyi Lin:
RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. ACM Trans. Inf. Syst. 41(3): 69:1-69:26 (2023) - Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, Ji-Rong Wen:
Enhancing Recommendation with Search Data in a Causal Learning Manner. ACM Trans. Inf. Syst. 41(4): 111:1-111:31 (2023) - Sriram Somanchi, Ahmed Abbasi, Ken Kelley, David G. Dobolyi, Ted Tao Yuan:
Examining User Heterogeneity in Digital Experiments. ACM Trans. Inf. Syst. 41(4): 100:1-100:34 (2023) - Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. ACM Trans. Inf. Syst. 41(2): 27:1-27:29 (2023) - Yuan Tian, Ke Zhou, Dan Pelleg:
Characterization and Prediction of Mobile Tasks. ACM Trans. Inf. Syst. 41(1): 13:1-13:39 (2023) - Qizhi Wan, Changxuan Wan, Keli Xiao, Rong Hu, Dexi Liu:
A Multi-channel Hierarchical Graph Attention Network for Open Event Extraction. ACM Trans. Inf. Syst. 41(1): 20:1-20:27 (2023) - Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma:
A Survey on the Fairness of Recommender Systems. ACM Trans. Inf. Syst. 41(3): 52:1-52:43 (2023) - Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Sequential Recommendation with Multiple Contrast Signals. ACM Trans. Inf. Syst. 41(1): 11:1-11:27 (2023) - Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. ACM Trans. Inf. Syst. 41(4): 94:1-94:27 (2023) - Hui Wang, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ACM Trans. Inf. Syst. 41(1): 19:1-19:28 (2023) - Hanrui Wu, Jinyi Long, Nuosi Li, Dahai Yu, Michael K. Ng:
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs. ACM Trans. Inf. Syst. 41(2): 33:1-33:25 (2023) - Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023) - Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41(1): 24:1-24:50 (2023) - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41(2): 29:1-29:36 (2023) - Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41(4): 89:1-89:27 (2023) - Xin Xia, Junliang Yu, Qinyong Wang, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Efficient On-Device Session-Based Recommendation. ACM Trans. Inf. Syst. 41(4): 102:1-102:24 (2023) - Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie:
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023) - Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - Lyuxin Xue, Deqing Yang, Shuoyao Zhai, Yuxin Li, Yanghua Xiao:
Learning Dual-view User Representations for Enhanced Sequential Recommendation. ACM Trans. Inf. Syst. 41(4): 86:1-86:26 (2023) - Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. ACM Trans. Inf. Syst. 41(3): 79:1-79:40 (2023) - Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - Zijun Yao, Bin Liu, Fei Wang, Daby Sow, Ying Li:
Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data. ACM Trans. Inf. Syst. 41(4): 99:1-99:29 (2023) - Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. 41(3): 59:1-59:28 (2023)