An Emotion-Based movie recommendation system using convolutional neural network

QR Code

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...

Full description

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/ http://eprints.utar.edu.my/4692/1/fyp_CS_2022_CKS.pdf

Similar Items

Movie Recommendation System Based on Sentiment Analysis on Movie Reviews
by: Astried, ., et al.
Published: (2022)

Graph-powered recommendation engine in movie recommender system
by: Abdul Mutalib, Ratna Dewi, et al.
Published: (2020)

'Movie Recommendation Systems Using An Artificial Immune System'
by: Chen, Qi, et al.
Published: (2004)

'Movie Recommendation Systems Using An Artificial Immune System'
by: Chen, Qi, et al.
Published: (2004)

The Implementation of Transfer Learning by Convolution Neural Network (CNN) for Recognizing Facial Emotions
by: Munanday, Anbananthan Pillai, et al.
Published: (2023)

'On Affinity Measures for Artificial Immune System Movie Recommenders'
by: Aickelin, Uwe, et al.
Published: (2004)

'On Affinity Measures for Artificial Immune System Movie Recommenders'
by: Aickelin, Uwe, et al.
Published: (2004)

Image-based oil palm leaf disease detection using convolutional neural network
by: Jia, Heng Ong, et al.
Published: (2022)

A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
by: , Abdul Wahid, et al.
Published: (2019)

Iris recognition using convolutional neural network / Zhuang Yuan
by: Zhuang, Yuan
Published: (2018)

Suspicious activity trigger system using YOLOv6 convolutional neural network
by: Suryanti, Awang, et al.
Published: (2023)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)

A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)

Face recognition using the convolutional neural network for barrier gate system
by: Mochammad Langgeng, Prasetyo, et al.
Published: (2021)

Investigation And Development Of Convolutional Neural Network Based Image Splicing Detection
by: Hasim, Siti Mastura Binti Md
Published: (2017)

Image Splicing Detection With Constrained Convolutional Neural Network
by: Lee, Yang Yang
Published: (2019)

Calf posture recognition using convolutional neural network
by: Tung, Tan Chen, et al.
Published: (2022)

Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)

Variants of convolutional neural networks for classification of multichannel EEG signals: A study based on influence of music and emotion on human brain
by: Cheah, Kit Hwa
Published: (2021)

Leaf condition analysis using convolutional neural network and vision transformer
by: Yong, Wai Chun, et al.
Published: (2024)

Item-based collaborative filtering technique for movie recommender based on user preference
by: Wong, Wai Leong
Published: (2018)

HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
by: Islam, Md Shofiqul, et al.
Published: (2021)

Enhanced faster region-based convolutional neural network for oil palm tree detection
by: Liu, Xinni
Published: (2021)

Detection of proliferative diabetic retinopathy in fundus images using convolution neural network
by: Hasliza, Abu Hassan, et al.
Published: (2020)

Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)

Obstacle Avoidance Using Convolutional Neural Network For Drone Navigation In Oil Palm Plantation
by: Lee, Hui Yin
Published: (2019)

Bangla handwritten numeral recognition using convolutional neural network
by: Akhand, M. A. H, et al.
Published: (2015)

Bangla handwritten character recognition using convolutional neural network
by: Rahman, Md. Mahbubar, et al.
Published: (2015)

Future prediction of coastal recession using convolutional neural network
by: Khan, Abdul Rehman, et al.
Published: (2024)

License Plate Recognition Using Convolutional recurrent Neural Network
by: Tee, Kai Feng
Published: (2019)

Defect And Components Recognition In Printed Circuit Boards Using Convolution Neural Network
by: Cheong, Leong Kean
Published: (2018)

Mammogram breast mass classification using deep convolutional neural network / Mohd Nafie Maslan
by: Mohd Nafie, Maslan
Published: (2022)

Pattern recognition for magnetic resonance knee imaging using convolutional neural network / Zhang Xinyu
by: Zhang, Xinyu
Published: (2018)

Identification of microscopy cell images by using convolutional neural network application / Norfatin Farisya Ajis
by: Norfatin Farisya , Ajis
Published: (2020)

Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
by: Aiman Yusoff, Aiman Yusoff, et al.
Published: (2023)

A Convolutional Neural Network Model to Segment Myocardial Infarction from MRI Images
by: Zakarya Farea Shaaf, Zakarya Farea Shaaf, et al.
Published: (2023)

An Evaluation of Convolutional Neural Network (CNN) Model for Copy-Move and Splicing Forgery Detection
by: Muniappan, Thiiban, et al.
Published: (2023)

Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
by: Yusoff, Aiman, et al.
Published: (2023)