Querywise Fair Learning to Rank through Multi-Objective Optimization
Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
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Quantifying Node Importance over Network Structural Stability
Fan Zhang, Qingyuan Linghu, Jiadong Xie, Kai Wang, Xuemin Lin, Wenjie Zhang
QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, Shenghua Ni
QTNet: Theory-Based Queue Length Prediction for Urban Traffic
Ryu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima
QTIAH-GNN: Quantity and Topology Imbalance-Aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Hui Xiong
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-Scale Disentangled Representations
Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation
Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation
Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-Term User Engagement
Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers
Adam Breuer, Nazanin Khosravani, Michael Tingley, Bradford Cottel
Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar
Precursor-of-Anomaly Detection for Irregular Time Series
Sheo yon Jhin, Noseong Park
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Practical Synthetic Human Trajectories Generation Based on Variational Point Processes
Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P Dickerson
PlanRanker: Towards Personalized Ranking of Train Transfer Plans
Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Personalized Federated Learning with Parameter Propagation
Jun Wu, Wenxuan Bao, Jingrui He