CSpace

浏览/检索结果: 共19条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
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:11/0  |  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:7/0  |  提交时间:2023/12/04
Negative feedback  Signed social networks  Graph Neural Networks  Recommender system  
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 7, 页码: 2903-2913
作者:  Chen, Jingwu;  Zhuang, Fuzhen;  Wang, Tianxin;  Lin, Leyu;  Xia, Feng;  Du, Lihuan;  He, Qing
收藏  |  浏览/下载:42/0  |  提交时间:2021/12/01
Task analysis  Predictive models  Lifting equipment  Mobile applications  Collaboration  User experience  Article recommendation  dwell time prediction  click-guide network  
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:40/0  |  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:26/0  |  提交时间:2022/06/21
Recommender system  collaborative ranking  neural networks  preference ranking  
A mobile services recommendation system fuses implicit and explicit user trust relationships 期刊论文
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2021, 卷号: 13, 期号: 1, 页码: 21-35
作者:  Luo, Pengcheng;  Zhang, Jilin;  Wan, Jian;  Zhao, Nailiang;  Ren, Zujie;  Zhou, Li;  Shen, Jing
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Collaborative filtering  data management  data mining  matrix factorization  recommendation system  social network  
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:58/0  |  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:28/0  |  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:66/0  |  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  
Trust-embedded collaborative deep generative model for social recommendation 期刊论文
JOURNAL OF SUPERCOMPUTING, 2020, 页码: 29
作者:  Deng, Xiaoyi;  Wu, Yenchun Jim;  Zhuang, Fuzhen
收藏  |  浏览/下载:52/0  |  提交时间:2020/12/10
Recommender system  Deep generative model  Collaborative topic regression  Trust matrix factorization  Deep learning