Pairwise Metric Learning With Angular Margin for Tag Recommendation

Author:

Fei Zhengshun1ORCID,Wang Jinglong1ORCID,Huang Bingqiang1,Xiang Xinjian1

Affiliation:

1. School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China

Funder

Key Research and Development Program of Zhejiang Province

Natural Science Foundation of Zhejiang Province

Research Project of Zhejiang Provincial Department of Education

Key Project of Zhejiang University of Science and Technology Postgraduate Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Metric learning with adversarial hard negative samples for tag recommendation;The Journal of Supercomputing;2024-06-11

2. Product Recommendation Using Collaborative Filtering and K-Means Clustering;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Joint Modeling of Citation Networks and User Preferences for Academic Tagging Recommender System;Computers, Materials & Continua;2024

4. Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems;IET Cyber-Systems and Robotics;2023-08-26

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