@inproceedings{71edecce9482479cbb01ee628080fb76,
title = "Privacy setting recommendation for image sharing",
abstract = "This paper aims to simultaneously consider two inseparable issues for privacy setting recommendation: (1) sensitiveness of visual content of the images being shared; and (2) trustworthiness of users being granted. First, an object-based approach is developed for image content sensitiveness (privacy) representation. Secondly, the users on a social network are clustered into a set of representative social groups to generate a discriminative dictionary for user trustworthiness characterization. Finally, a tree classifier is trained hierarchically to recommend appropriate privacy settings for image sharing.",
keywords = "Image Sharing, Privacy Recommendation, Social Network, Tree Classifier",
author = "Jun Yu and Zhenzhong Kuang and Zhou Yu and Dan Lin and Jianping Fan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017 ; Conference date: 18-12-2017 Through 21-12-2017",
year = "2017",
doi = "10.1109/ICMLA.2017.00-73",
language = "英语",
series = "Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "726--730",
editor = "Xuewen Chen and Bo Luo and Feng Luo and Vasile Palade and Wani, \{M. Arif\}",
booktitle = "Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017",
address = "美国",
}