Recommender Systems for Privacy Management: A Framework

被引：3
|
作者：
Rasmussen, Curtis [1 ]
Dara, Rozita [1 ]
机构：
[1] Univ Guelph, Sch Comp Sci, Guelph, ON N1G 2W1, Canada
来源：
2014 IEEE 15TH INTERNATIONAL SYMPOSIUM ON HIGH-ASSURANCE SYSTEMS ENGINEERING (HASE) | 2014年
关键词：
privacy; privacy statement; ontology; knowledge base; recommender systems; decision making;
D O I：
10.1109/HASE.2014.43
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social media and online service providers are increasingly collecting personal information. In order for users to make decisions about their online privacy, they will have to read through a dense and hard-to-understand privacy policy. We developed a recommender system to help users make more pertinent decisions with regards to their privacy by providing them with recommendations and warnings based on their privacy preferences. Our ultimate goal is to build intelligent recommender systems that can process any combination of user data and privacy policies to provide recommendations for privacy management to the user.
引用
收藏
页码：243 / 244
页数：2
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