Multi-Source Multi-Label Learning for User Profiling in Online Games-Reference-Cited by-同舟云学术

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Multi-Source Multi-Label Learning for User Profiling in Online Games

Published:2022 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wen Xiang¹,Zhao Shiwei²,Wang Haobo³,Wu Runze²,Qu Manhu²,Hu Tianlei⁴,Chen Gang⁵,Tao Jianrong²,Fan Changjie²

Affiliation:

1. Computer Science, Zhejiang University, 12377 Hangzhou, China

2. Fuxi AI lab, Netease Inc, 485092 Hangzhou, Zhejiang, China

3. Computer Science, Zhejiang University, 12377 Hangzhou, Zhejiang, China, 310058

4. Computer Science, Zhejiang University, 12377 Hangzhou, Zhejiang, China

5. College of computer science, Zhejiang University, 12377 Hangzhou, Zhejiang, China

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09767715.pdf?arnumber=9767715

Cited by 2 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. Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization;Information Fusion;2024-12

2. A Review of User Profiling Based on Social Networks;IEEE Access;2024

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