Digital Content Recommendation System through Facial Emotion Recognition

Abstract

Abstract: The use of facial emotion recognition technology in movie and music recommendation systems has become increasingly popular. In this paper, an all-encompassing evaluation of the present advancements in this field is provided, and the possible advantages and di culties of utilizing this technology are deliberated. The first part of the paper presents a brief overview of the di‰erent facial emotion recognition algorithms and how they work. This is followed by a review of the existing research on the use of these algorithms in movie and music recommendation systems. The second part of the paper discusses the potential benefits of using facial emotion recognition in movie and music recommendation systems. These include the ability to make more personalized recommendations based on the user's emotional state, as well as the potential for improving the overall user experience. The third part of the paper examines the challenges and limitations of using facial emotion recognition in movie and music recommendation systems. These include issues related to the accuracy and reliability of the algorithms, as well as concerns about privacy and ethical considerations