A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani

Movie recommendation system can provide the entertainment needed by our social life due to the high accuracy of the recommended movie. The system can make a suggestions to all the user based on their movie preference. Every people will have their own preference when they want to go watching movie in...

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Bibliographic Details
Main Author: Abd Ghani, Muhammad Asyraf
Format: Thesis
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/55190/1/55190.pdf
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spelling my-uitm-ir.551902023-06-12T00:21:55Z A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani 2021-02 Abd Ghani, Muhammad Asyraf Algebra Analysis Geometry. Trigonometry. Topology Algorithms Movie recommendation system can provide the entertainment needed by our social life due to the high accuracy of the recommended movie. The system can make a suggestions to all the user based on their movie preference. Every people will have their own preference when they want to go watching movie in the cinema or online streaming platform such as Netflix. Amazon Prime or Youtube. The existense of movie recommendation system will make the movie selection become easier and accurate to the user. In this paper, the proposed movie recommendation system by using Cosine Similarity measure will has the ability to give the user their own recommended movie. It calculate the content in the movie and calculate its similarity by the words appear in the movie information. It generates the recommended movie for the movie lovers and make it convenient for them to make a selection on the movie. The accuracy of the recommended movie also have been discuss in details in this project. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/55190/ https://ir.uitm.edu.my/id/eprint/55190/1/55190.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Mohamad, Norizan
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mohamad, Norizan
topic Algebra
Analysis
Algebra
Algorithms
spellingShingle Algebra
Analysis
Algebra
Algorithms
Abd Ghani, Muhammad Asyraf
A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
description Movie recommendation system can provide the entertainment needed by our social life due to the high accuracy of the recommended movie. The system can make a suggestions to all the user based on their movie preference. Every people will have their own preference when they want to go watching movie in the cinema or online streaming platform such as Netflix. Amazon Prime or Youtube. The existense of movie recommendation system will make the movie selection become easier and accurate to the user. In this paper, the proposed movie recommendation system by using Cosine Similarity measure will has the ability to give the user their own recommended movie. It calculate the content in the movie and calculate its similarity by the words appear in the movie information. It generates the recommended movie for the movie lovers and make it convenient for them to make a selection on the movie. The accuracy of the recommended movie also have been discuss in details in this project.
format Thesis
qualification_level Bachelor degree
author Abd Ghani, Muhammad Asyraf
author_facet Abd Ghani, Muhammad Asyraf
author_sort Abd Ghani, Muhammad Asyraf
title A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
title_short A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
title_full A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
title_fullStr A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
title_full_unstemmed A content-based movie recommendation system using cosine similarity measure / Muhammad Asyraf Abd Ghani
title_sort content-based movie recommendation system using cosine similarity measure / muhammad asyraf abd ghani
granting_institution Universiti Teknologi MARA, Terengganu
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/55190/1/55190.pdf
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