Emo-Reads: Book Recommendation Based on Facial Emotions
DOI:
https://doi.org/10.48001/978-81-966500-2-5-2Keywords:
Deep Learning, Image processing, Artificial intelligence, Human emotions, Convolutional neural network (CNN)Abstract
Recommender systems have advanced significantly, integrating technologies like facial expression detection to enhance user engagement and satisfaction. This study introduces EMOREADS, an innovative book recommendation system that leverages users’ facial expressions to assess their emotional states and tailor personalized book suggestions. By combining computer vision with sentiment analysis of user reviews, EMO-READS provides more engaging and contextually relevant recommendations. This emotion-driven approach not only improves recommendation accuracy but also enhances the overall user experience. The system’s design highlights the intersection of recommendation technology and emotion-aware computing, showcasing its potential to transform digital content consumption.
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References
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