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Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2025, 卷号: 47, 期号: 4, 页码: 2460-2474
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Ma, Zhanyu;  Huang, Qingming
收藏  |  浏览/下载:3/0  |  提交时间:2025/06/25
Estimation  Imputation  Training data  IP networks  Accuracy  Supervised learning  Recommender systems  Noise  Data models  Computer science  Recommender system  collaborative filtering  debias  noise-robust learning  pairwise ranking loss  
Multitask-Based Self-Supervised Learning for Recommendation in Social Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 12
作者:  Xu, Wenjian;  Zeng, Fanxiang;  Zhang, Nan;  Gao, Honghao;  Yin, Yuyu;  Chen, Zulong;  Huang, Maolei;  Wan, Jian
收藏  |  浏览/下载:6/0  |  提交时间:2025/06/25
Data models  Predictive models  Heavily-tailed distribution  Feature extraction  Representation learning  Recommender systems  Electronic mail  Computational modeling  Poles and towers  Data mining  Click-through rate (CTR) prediction  large-scale knowledge discovery  multitask learning  representation learning  user behavior modeling  
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 11, 页码: 8449-8464
作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Huang, Qingming
收藏  |  浏览/下载:35/0  |  提交时间:2023/07/12
Feature extraction  Predictive models  Wrapping  Frequency modulation  Computational modeling  Training  Recommender systems  Click-through rate prediction  recommender system  bilevel optimization  meta-learning  
TNAM: A tag-aware neural attention model for Top-N recommendation 期刊论文
NEUROCOMPUTING, 2020, 卷号: 385, 页码: 1-12
作者:  Huang, Ruoran;  Wang, Nian;  Han, Chuanqi;  Yu, Fang;  Cui, Li
收藏  |  浏览/下载:62/0  |  提交时间:2020/12/10
Recommender systems  Tag information  Deep learning  Attention networks  
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748
作者:  Han, Jiayu;  Zheng, Lei;  Xu, Yuanbo;  Zhang, Bangzuo;  Zhuang, Fuzhen;  Yu, Philip S.;  Zuo, Wanli
收藏  |  浏览/下载:88/0  |  提交时间:2020/12/10
Adaptation models  Recommender systems  Feature extraction  Computational modeling  Predictive models  Task analysis  Adaptive systems  Adaptive user preference model  attention factor  convolutional neural network (CNN)  recommendation system  
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks 期刊论文
NEURAL NETWORKS, 2019, 卷号: 111, 页码: 77-88
作者:  Xu, Yuanbo;  Yang, Yongjian;  Han, Jiayu;  Wang, En;  Zhuang, Fuzhen;  Yang, Jingyuan;  Xiong, Hui
收藏  |  浏览/下载:288/0  |  提交时间:2019/04/03
Opinion bias  Recommender systems  Convolutional neural network  Dual attention vectors  
EcoUp: Towards Economical Datacenter Upgrading 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 7, 页码: 1968-1981
作者:  Yan, Guihai;  Ma, Jun;  Han, Yinhe;  Li, Xiaowei
收藏  |  浏览/下载:86/0  |  提交时间:2019/12/13
Datacenter upgrading  cost efficiency  performance prediction  recommender systems  collaborative filtering