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Emotion based Movie Recommendation System using Deep Learning

by Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 20
Year of Publication: 2023
Authors: Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar
10.5120/ijca2023922924

Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar . Emotion based Movie Recommendation System using Deep Learning. International Journal of Computer Applications. 185, 20 ( Jul 2023), 49-53. DOI=10.5120/ijca2023922924

@article{ 10.5120/ijca2023922924,
author = { Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar },
title = { Emotion based Movie Recommendation System using Deep Learning },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2023 },
volume = { 185 },
number = { 20 },
month = { Jul },
year = { 2023 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number20/32812-2023922924/ },
doi = { 10.5120/ijca2023922924 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:37.682844+05:30
%A Manjusha Sanke
%A Shane Furtado
%A Saloni Naik
%A Shravani Nevagi
%A Vishal Bidikar
%T Emotion based Movie Recommendation System using Deep Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 20
%P 49-53
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Emotions play a significant role in human perception and decision making. Recent studies on emotion detection and recognition are the subject for attention by researchers from different fields. This paper presents a web-based application which will be able to identify the emotion of user from the image uploaded on the server and stream the movies online. This paper focuses on seven emotional states: happiness, surprise, sadness, disgust, angry, fear and a neutral state which can be always found in daily life. The proposed system includes uploading the image to the server, detecting emotion from the image and finally presenting movie recommendation list based on the emotion of the user. The system uses FER2013 (Facial Expression Recognition 2013) dataset and IMDB (Internet Movie Database) dataset. A deep learning model is trained using CNN technique for detection and classification of emotions. User’s emotion is identified and a list of top-rated movies associated with it is presented.

References
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  14. FER2013 Dataset: https://www.kaggle.com/datasets/msambare/fer2013
  15. IMDB Dataset: https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews
Index Terms

Computer Science
Information Sciences

Keywords

Emotion recognition FER13 Movie recommendation Deep learning.

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