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浏览/检索结果: 共60条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 957-974 作者:  Cao, Tianwei;  Xu, Qianqian;  Yang, Zhiyong;  Huang, Qingming   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20 Recommender system  collaborative filtering  confounding bias  debias  counterfactual learning   Generalized Embedding Machines for Recommender Systems 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584 作者:  Enneng Yang;  Xin Xin;  Li Shen;  Yudong Luo;  Guibing Guo   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/05/23 Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)   Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement 期刊论文  OAI收割 ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2023, 卷号: 41, 期号: 4, 页码: 23 作者:  Li, Qiming;  Zhang, Zhao;  Zhuang, Fuzhen;  Xu, Yongjun;  Li, Chao   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/12/04 Knowledge graph  recommender system  topic model   Negative Can Be Positive: Signed Graph Neural Networks for Recommendation 期刊论文  OAI收割 INFORMATION PROCESSING & MANAGEMENT, 2023, 卷号: 60, 期号: 4, 页码: 14 作者:  Huang, Junjie;  Xie, Ruobing;  Cao, Qi;  Shen, Huawei;  Zhang, Shaoliang   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/12/04 Negative feedback  Signed social networks  Graph Neural Networks  Recommender system   Self-Supervised learning for Conversational Recommendation 期刊论文  OAI收割 INFORMATION PROCESSING & MANAGEMENT, 2022, 卷号: 59, 期号: 6, 页码: 19 作者:  Li, Shuokai;  Xie, Ruobing;  Zhu, Yongchun;  Zhuang, Fuzhen;  Tang, Zhenwei   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/07/12 Conversational recommender system  Self-supervised learning  Knowledge   Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction 期刊论文  OAI收割 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：16/0  |  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   Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation 会议论文  OAI收割 Chengdu China, Nov. 26 - 28, 2022 作者:  Su CY(粟晨阳);  Qiang Liu(刘强);  Liang Wang(王亮)   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/06/29 Exposure-interaction  Recommender System  Doubly Robust  Selection Bias   Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 2, 页码: 420-431 作者:  Shi, Xiaoyu;  He, Qiang;  Luo, Xin;  Bai, Yanan;  Shang, Mingsheng   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/08/22 Recommender systems  Training  Optimization  Big Data  Cloud computing  Computational modeling  Sparse matrices  Recommender system  latent factor analysis  high-dimensional and sparse matrices  alternative stochastic gradient descent  distributed computing   A Novel Attention-based Global and Local Information Fusion Neural Network for Group Recommendation 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 331-346 作者:  Song Zhang;  Nan Zheng;  Dan-Li Wang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/04/23 Group recommendation  attentive neural network (ANN)  global information  local information  recommender system   Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623 作者:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/08/20 beta-divergence  big data  high-dimensional and sparse (HiDS) matrix  industrial application  learning algorithm  non-negative latent factor (NLF) analysis  recommender system