Book recommendation system / Nur Dalila Afifah Ghazali

Recommender engines is one of the popular information filtering tools that had been used by various layers of society. The concept of the recommender engines is to give the most relevant answer needed by the user. Book recommender is one of the popular implementations of recommender or filtering met...

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Main Author:	Ghazali, Nur Dalila Afifah
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Instruments and machines Computer software Application software Database management
Online Access:	https://ir.uitm.edu.my/id/eprint/55329/1/55329.pdf
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id	my-uitm-ir.55329
record_format	uketd_dc
spelling	my-uitm-ir.553292022-01-26T02:34:18Z Book recommendation system / Nur Dalila Afifah Ghazali 2021-02 Ghazali, Nur Dalila Afifah Instruments and machines Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Computer software Application software Database management Recommender engines is one of the popular information filtering tools that had been used by various layers of society. The concept of the recommender engines is to give the most relevant answer needed by the user. Book recommender is one of the popular implementations of recommender or filtering method. This is because there are so many books data in the world make it impossible for people to find one books without filtering. The aim of this project is to implement a of book recommender system, using some features from the collaborative filtering and content-based filtering. For this project, the user-item rating methods and the item-item rating had been implemented on the system to generate the list of recommendation books to the user. By using the root mean square error to evaluate the algorithm, the result obtained shows that collaborative filtering mean error value is less than the content-based filtering. This prove that the collaborative filtering is better at recommendation than content-based filtering, hi conclusion, this book recommender system can give a better recommendation of books by using the user-item technique. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/55329/ https://ir.uitm.edu.my/id/eprint/55329/1/55329.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Wan Abdul Manan, Wan Dorishah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Wan Abdul Manan, Wan Dorishah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Application software Database management
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Application software Database management Ghazali, Nur Dalila Afifah Book recommendation system / Nur Dalila Afifah Ghazali
description	Recommender engines is one of the popular information filtering tools that had been used by various layers of society. The concept of the recommender engines is to give the most relevant answer needed by the user. Book recommender is one of the popular implementations of recommender or filtering method. This is because there are so many books data in the world make it impossible for people to find one books without filtering. The aim of this project is to implement a of book recommender system, using some features from the collaborative filtering and content-based filtering. For this project, the user-item rating methods and the item-item rating had been implemented on the system to generate the list of recommendation books to the user. By using the root mean square error to evaluate the algorithm, the result obtained shows that collaborative filtering mean error value is less than the content-based filtering. This prove that the collaborative filtering is better at recommendation than content-based filtering, hi conclusion, this book recommender system can give a better recommendation of books by using the user-item technique.
format	Thesis
qualification_level	Bachelor degree
author	Ghazali, Nur Dalila Afifah
author_facet	Ghazali, Nur Dalila Afifah
author_sort	Ghazali, Nur Dalila Afifah
title	Book recommendation system / Nur Dalila Afifah Ghazali
title_short	Book recommendation system / Nur Dalila Afifah Ghazali
title_full	Book recommendation system / Nur Dalila Afifah Ghazali
title_fullStr	Book recommendation system / Nur Dalila Afifah Ghazali
title_full_unstemmed	Book recommendation system / Nur Dalila Afifah Ghazali
title_sort	book recommendation system / nur dalila afifah ghazali
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/55329/1/55329.pdf
_version_	1783734912896991232

Book recommendation system / Nur Dalila Afifah Ghazali

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