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
DOI: https://doi.org/10.64388/IREV9I9-1715035
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.
How to cite this paper
Athulya S, Dr. N. Saranya "Movie Recommendation System Using Facial Emotion Detection" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 598-602 https://doi.org/10.64388/IREV9I9-1715035
Athulya S, Dr. N. Saranya "Movie Recommendation System Using Facial Emotion Detection" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026, doi: https://doi.org/10.64388/IREV9I9-1715035
Athulya S, Dr. N. Saranya (2026). Movie Recommendation System Using Facial Emotion Detection. Iconic Research And Engineering Journals, 9(9). doi: https://doi.org/10.64388/IREV9I9-1715035
Athulya S, Dr. N. Saranya "Movie Recommendation System Using Facial Emotion Detection" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026. Crossref, https://doi.org/10.64388/IREV9I9-1715035
@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}
}