Movie recommendation system / Najwa Syamimie Hasnu
Movie Recommendation System is essentially developed for the purpose of producing a movie recommendation list therefore, it is paired with algorithm to provide the desired functionalities and features in the system. As known, users prefer to use system that recommend suitable items according to thei...
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| Format: | Thesis |
| Language: | en |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/55295/1/55295.pdf https://ir.uitm.edu.my/id/eprint/55295/ |
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| _version_ | 1833070443322408960 |
|---|---|
| author | Hasnu, Najwa Syamimie |
| author_facet | Hasnu, Najwa Syamimie |
| author_sort | Hasnu, Najwa Syamimie |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Movie Recommendation System is essentially developed for the purpose of producing a movie recommendation list therefore, it is paired with algorithm to provide the desired functionalities and features in the system. As known, users prefer to use system that recommend suitable items according to their preferences so that they will not have to go through hundreds of movie list to find something that they may like. It was difficult enough to look for list of movies on the Internet, moreover to browse through the long list to find what they have been looking for. Therefore, it is essentially needed for the user to use a recommendation system that can help them get through with this process. As a result, the objectives for this project are to study the most suitable algorithms used for a movie recommender system, to implement Collaborative Filtering algorithm on a movie recommender system prototype and to test the functionality of the movie recommender system, hi this project, a movie recommendation system with the use of Collaborative Filtering is proposed to produce a set list of movies for the users. This process will be done with the process of calculation the similarity of the movies rated by the users and a recommendation list will be produced through it. PHPMyAdmin is used to store the dataset and also acts as a database for user information. The algorithm chosen was implemented using Java Programming language and was tested using Root Means Square Error (RMSE) formula. |
| format | Thesis |
| id | my.uitm.ir-55295 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2020 |
| record_format | eprints |
| spelling | my.uitm.ir-552952023-06-12T00:14:29Z https://ir.uitm.edu.my/id/eprint/55295/ Movie recommendation system / Najwa Syamimie Hasnu Hasnu, Najwa Syamimie Electronic Computers. Computer Science Multimedia systems Programming. Rule-based programming. Backtrack programming Computer software Application software System design Web-based user interfaces. User interfaces (Computer systems) Fuzzy logic Movie Recommendation System is essentially developed for the purpose of producing a movie recommendation list therefore, it is paired with algorithm to provide the desired functionalities and features in the system. As known, users prefer to use system that recommend suitable items according to their preferences so that they will not have to go through hundreds of movie list to find something that they may like. It was difficult enough to look for list of movies on the Internet, moreover to browse through the long list to find what they have been looking for. Therefore, it is essentially needed for the user to use a recommendation system that can help them get through with this process. As a result, the objectives for this project are to study the most suitable algorithms used for a movie recommender system, to implement Collaborative Filtering algorithm on a movie recommender system prototype and to test the functionality of the movie recommender system, hi this project, a movie recommendation system with the use of Collaborative Filtering is proposed to produce a set list of movies for the users. This process will be done with the process of calculation the similarity of the movies rated by the users and a recommendation list will be produced through it. PHPMyAdmin is used to store the dataset and also acts as a database for user information. The algorithm chosen was implemented using Java Programming language and was tested using Root Means Square Error (RMSE) formula. 2020-04 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/55295/1/55295.pdf Movie recommendation system / Najwa Syamimie Hasnu. (2020) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu. <http://terminalib.uitm.edu.my/55295.pdf> |
| spellingShingle | Electronic Computers. Computer Science Multimedia systems Programming. Rule-based programming. Backtrack programming Computer software Application software System design Web-based user interfaces. User interfaces (Computer systems) Fuzzy logic Hasnu, Najwa Syamimie Movie recommendation system / Najwa Syamimie Hasnu |
| title | Movie recommendation system / Najwa Syamimie Hasnu |
| title_full | Movie recommendation system / Najwa Syamimie Hasnu |
| title_fullStr | Movie recommendation system / Najwa Syamimie Hasnu |
| title_full_unstemmed | Movie recommendation system / Najwa Syamimie Hasnu |
| title_short | Movie recommendation system / Najwa Syamimie Hasnu |
| title_sort | movie recommendation system / najwa syamimie hasnu |
| topic | Electronic Computers. Computer Science Multimedia systems Programming. Rule-based programming. Backtrack programming Computer software Application software System design Web-based user interfaces. User interfaces (Computer systems) Fuzzy logic |
| url | https://ir.uitm.edu.my/id/eprint/55295/1/55295.pdf https://ir.uitm.edu.my/id/eprint/55295/ |
| url_provider | http://ir.uitm.edu.my/ |