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@article{162691,
        author = {Niravkumar Parmar and Manoj Kamber},
        title = {Movie recommendation system using facial expressions},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {765-770},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162691},
        abstract = {Those looking for personalized suggestions find it difficult to navigate the ever expanding catalog of films available on streaming services. Conventional methods that rely on group filtering or content analysis frequently fall short since they don't account for personal preferences and changing emotional states. This research suggests a revolutionary deep learning and facial expression analysis-based movie recommendation system. The technology attempts to provide individualized recommendations that are in line with viewers' implicit preferences and emotional condition by interpreting their facial expressions in real-time.},
        keywords = {Real-time facial analysis, Movie scene analysis, Emotion classification, Genre prediction, Adaptive recommendations.},
        month = {},
        }