Survey of Confidentiality and trust in recommender systems

journal of Artificial Intelligence in Electrical Engineering

دوره 8، شماره 30، آذر 2019، صفحه 38-43   

نوع مقاله: Original Article

نویسندگان

Seyed Hossein HosseiniNazhad^{* 1}؛ Morteza Abdi Reyhan²

¹Department of Computer Engineering

²Department of Computer

چکیده

Recommender systems has an important role in social networks. With the growth and development of
social networks, this issue is becoming more and more important. Recommending systems try to predict the user's interests and then suggest the closest items to the user's tastes. Recommender systems analyze the user’s behavior and suggest the most appropriate items. By collecting user information, the system categorizes and summarizes them, allowing users to access more relevant information in less time. Recommender system is an intelligent system that creates appropriate suggestions for each person by discovering and analyzing user information.
In this paper, we will investigate recommending systems in three sections: types of recommending
systems, information confidentiality and trust in recommender systems. We will refer to the related
works in each section, review the challenges of them, and present our results and evaluation on these
methods

کلیدواژه‌ها

Recommender Systems؛ social networks؛ predict؛ suggest