Video Recommender system based on Emotion Recognition

Document Type : Original Article

Authors

1 Fayoum University, Fayoum, Egypt.

2 Faculty of Computers and Information, Fayoum, Egypt.

10.21608/iugrc.2017.90643

Abstract

It is remarkable these days that the interaction between people through the internet is hiding their real feelings. People are communicating with each other by chatting always use emotions to express how they feel. Most of the user's emotions don’t usually express their actual feeling. Our system provides a way for improving the credibility of communication with people through the internet. This is done by using the instant real image of the person through a camera and extracting emotion from it. Moreover, Recommendation represents a significant part in many fields and has become a great attention in the field of research. Most of nowadays websites use recommender systems to suggest products and services for the user. Since facial expressions give important information about emotions of a person so we can depend on them to recommend some videos to the users to help them change their mood.

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