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An Emotion-Based movie recommendation system using convolutional neural network

With the growing number of movies released each year, movie recommender systems are becoming more and more important in providing recommendations to users efficiently. However, one of the challenges in developing the recommendation system is the system itself must be accurately enough to record the...

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Bibliographic Details
Main Author: Chong, Kok Sian
Format: Final Year Project / Dissertation / Thesis
Published: 2022
Subjects:
T Technology (General)
Online Access:http://eprints.utar.edu.my/4692/1/fyp_CS_2022_CKS.pdf
http://eprints.utar.edu.my/4692/
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id my-utar-eprints.4692
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spelling my-utar-eprints.46922023-01-15T13:50:30Z An Emotion-Based movie recommendation system using convolutional neural network Chong, Kok Sian T Technology (General) With the growing number of movies released each year, movie recommender systems are becoming more and more important in providing recommendations to users efficiently. However, one of the challenges in developing the recommendation system is the system itself must be accurately enough to record the user's profile, in order to determine their movie preferences. Therefore, a web-based movie recommendation system with Convolutional Neural Network (CNN) model is proposed in this study, to recognize human emotion from facial images. The movie recommendation process will be carried out by capturing the user’s emotion in order to save their searching time rather than manually going through all of the movies to find and pick the most suited one. 2022-09-18 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4692/1/fyp_CS_2022_CKS.pdf Chong, Kok Sian (2022) An Emotion-Based movie recommendation system using convolutional neural network. Final Year Project, UTAR. http://eprints.utar.edu.my/4692/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic T Technology (General)
spellingShingle T Technology (General)
Chong, Kok Sian
An Emotion-Based movie recommendation system using convolutional neural network
description With the growing number of movies released each year, movie recommender systems are becoming more and more important in providing recommendations to users efficiently. However, one of the challenges in developing the recommendation system is the system itself must be accurately enough to record the user's profile, in order to determine their movie preferences. Therefore, a web-based movie recommendation system with Convolutional Neural Network (CNN) model is proposed in this study, to recognize human emotion from facial images. The movie recommendation process will be carried out by capturing the user’s emotion in order to save their searching time rather than manually going through all of the movies to find and pick the most suited one.
format Final Year Project / Dissertation / Thesis
author Chong, Kok Sian
author_facet Chong, Kok Sian
author_sort Chong, Kok Sian
title An Emotion-Based movie recommendation system using convolutional neural network
title_short An Emotion-Based movie recommendation system using convolutional neural network
title_full An Emotion-Based movie recommendation system using convolutional neural network
title_fullStr An Emotion-Based movie recommendation system using convolutional neural network
title_full_unstemmed An Emotion-Based movie recommendation system using convolutional neural network
title_sort emotion-based movie recommendation system using convolutional neural network
publishDate 2022
url http://eprints.utar.edu.my/4692/1/fyp_CS_2022_CKS.pdf
http://eprints.utar.edu.my/4692/
_version_ 1755876968806481920
score 13.160551

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