Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks-Reference-Cited by-同舟云学术

Deep Learning-Based User Privacy Settings Recommendation in Online Social Networks

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Ye Qiongzan¹,Cao Yixin¹,Chen Yang¹,Li Cong²,Li Xiang³

Affiliation:

1. School of Computer Science, Fudan University,Shanghai Key Lab of Intelligent Information Processing,China

2. School of Information Science and Technology, Fudan University,Adaptive Networks and Control Lab,Department of Electronic Engineering,China

3. The Institute of Complex Networks and Intelligent Systems, Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892734.pdf?arnumber=9892734

Reference43 articles.

1. Silent Listeners: The Evolution of Privacy and Disclosure on Facebook

2. Mining Multi-label Data

3. NLTK: The Natural Language Toolkit;bird;Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics,0

4. Tweepy;roesslein;Python programming language module 2015,0

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