Home / Current Issue / Paper 1715035
Movie Recommendation System Using Facial Emotion Detection
Subject area: Science,Engineering and Technology · Area of research: Emotion-Based Recommender Systems
Abstract
This paper discusses a Movie Recommendation System that uses Facial Emotion Detection. The system captures the user’s facial expressions with a webcam and recognizes emotions like happy, sad, angry, or neutral through computer vision techniques. Based on the detected emotion, the system suggests appropriate movies from a movie dataset. This system is built with Python, OpenCV, and machine learning methods to offer personalized movie recommendations.
Keywords
Movie Recommendation, Facial Emotion Detection, Machine Learning, OpenCV.
References
[1] P. Ekman, “Facial Expressions of Emotion: An Old Controversy and New Findings,” Philosophical Transactions of the Royal Society, 1992.
[2] C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
[3] G. Bradski and A. Kaehler, Learn ing OpenCV: Computer Vision with the OpenCV Library, O’Reilly Media, 2008.
[4] F. Ricci, L. Rokach, and B. Shapira, Recommender Systems Handbook, Springer, 2015.
[5] OpenCV Documentation, Available: https://opencv.org
How to cite this paper
@article{1715035,
author = {Athulya S, Dr. N. Saranya},
title = {Movie Recommendation System Using Facial Emotion Detection},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {598-602},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715035.pdf},
abstract = {This paper discusses a Movie Recommendation System that uses Facial Emotion Detection. The system captures the user’s facial expressions with a webcam and recognizes emotions like happy, sad, angry, or neutral through computer vision techniques. Based on the detected emotion, the system suggests appropriate movies from a movie dataset. This system is built with Python, OpenCV, and machine learning methods to offer personalized movie recommendations.},
keywords = {Movie Recommendation, Facial Emotion Detection, Machine Learning, OpenCV.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715035}
}