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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
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Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status
期刊论文
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:10/0
  |  
提交时间:2024/05/20
Recommender system
collaborative filtering
confounding bias
debias
counterfactual learning
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement
期刊论文
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:22/0
  |  
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
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
;
Xia, Feng
;
Cheng, Xueqi
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/12/04
Negative feedback
Signed social networks
Graph Neural Networks
Recommender system
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:20/0
  |  
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
Self-Supervised learning for Conversational Recommendation
期刊论文
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
;
Zhao, Wayne Xin
;
He, Qing
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/07/12
Conversational recommender system
Self-supervised learning
Knowledge
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 213, 页码: 13
作者:
Yang, Chao
;
Zhou, Weixin
;
Wang, Zhiyu
;
Jiang, Bin
;
Li, Dongsheng
;
Shen, Huawei
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/12/01
Crowd intelligence
Explainable recommendation
Hierarchical attention
Review representation
Recommender system
Neural Collaborative Preference Learning With Pairwise Comparisons
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1977-1989
作者:
Li, Zhaopeng
;
Xu, Qianqian
;
Jiang, Yangbangyan
;
Ma, Ke
;
Cao, Xiaochun
;
Huang, Qingming
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/06/21
Recommender system
collaborative ranking
neural networks
preference ranking
HetNERec: Heterogeneous network embedding based recommendation
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 204, 页码: 10
作者:
Zhao, Zhongying
;
Zhang, Xuejian
;
Zhou, Hui
;
Li, Chao
;
Gong, Maoguo
;
Wang, Yongqing
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2020/12/10
Heterogeneous network
Network embedding
Recommender system
Heterogeneous network embedding
Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback
期刊论文
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2020, 卷号: 14, 期号: 4, 页码: 25
作者:
Xu, Yuanbo
;
Yang, Yongjian
;
Wang, En
;
Han, Jiayu
;
Zhuang, Fuzhen
;
Yu, Zhiwen
;
Xiong, Hui
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/01
Serendipity
recommender system
muti-layer percetron
matrix factorization
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:74/0
  |  
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