A Study about Personalized Content Recommendation

Abstract

Recommendation systems have been proposed as efficient strategies to deal with the information overload which is an Internet reality. In order to study personalized content recommendation, this paper aims at identifying and analyzing, systematically, methods and techniques adopted in the recommendation context. In the systematic review process, 22 papers have been accepted from the main digital databases in the area. The final results suggest a tendency in the use of strategies to reduce the limitations and to increase the efficiency of the recommendation methods.

Keywords

• Content Recommendation
• Personalized Recommendation
• Recommendation Systems