Video Recommender system based on Emotion Recognition
It is remarkable these days that the interaction between people through the internet is hiding their real feelings. People communicating with each other by chatting always use emotions to express how they feel. Most of emotion users don’t usually express their actual feeling. Our application provides a way for improving the credibility of communication with people through the internet. This is done by using instant real image of the person and extracting emotion from it. Moreover, Recommendation represents 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.
We track the recommended video and this can be used in advertisements evaluation to know the users interest.