Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin

The Skincare Recommendation System aims to improve user experience and reduce the possibility of skin concerns resulting from incompatible selections by addressing frequent obstacles experienced by customers when choosing skincare products. The system evaluates product components and user-specific s...

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Main Author:	Mohd Burhanudin, Muhammad Fakhrullah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf
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id	my-uitm-ir.96334
record_format	uketd_dc
spelling	my-uitm-ir.963342024-06-04T07:20:35Z Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin 2024 Mohd Burhanudin, Muhammad Fakhrullah Algorithms The Skincare Recommendation System aims to improve user experience and reduce the possibility of skin concerns resulting from incompatible selections by addressing frequent obstacles experienced by customers when choosing skincare products. The system evaluates product components and user-specific skin types by utilising the Content-Based Filtering Technique (CBF) which using TF-IDF and cosine similarity technique and provides customised suggestions based on common ingredient compositions. The project's goals are to research CBF, use this method to build a recommendation system, and assess the system's accuracy. The background study highlights the difficulties in choosing skincare products because of ignorance about the right components for various skin types. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96334/ https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Othman, Ahmad Kamarulzaman
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Ahmad Kamarulzaman
topic	Algorithms
spellingShingle	Algorithms Mohd Burhanudin, Muhammad Fakhrullah Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
description	The Skincare Recommendation System aims to improve user experience and reduce the possibility of skin concerns resulting from incompatible selections by addressing frequent obstacles experienced by customers when choosing skincare products. The system evaluates product components and user-specific skin types by utilising the Content-Based Filtering Technique (CBF) which using TF-IDF and cosine similarity technique and provides customised suggestions based on common ingredient compositions. The project's goals are to research CBF, use this method to build a recommendation system, and assess the system's accuracy. The background study highlights the difficulties in choosing skincare products because of ignorance about the right components for various skin types.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Burhanudin, Muhammad Fakhrullah
author_facet	Mohd Burhanudin, Muhammad Fakhrullah
author_sort	Mohd Burhanudin, Muhammad Fakhrullah
title	Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title_short	Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title_full	Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title_fullStr	Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title_full_unstemmed	Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title_sort	skincare product recommendation system using content-based filtering technique (cbf) / muhammad fakhrullah mohd burhanudin
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf
_version_	1804889985748303872

Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin

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