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:en
Published: 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf
https://ir.uitm.edu.my/id/eprint/96334/
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author Mohd Burhanudin, Muhammad Fakhrullah
author_facet Mohd Burhanudin, Muhammad Fakhrullah
author_sort Mohd Burhanudin, Muhammad Fakhrullah
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
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
id my.uitm.ir-96334
institution Universiti Teknologi Mara
language en
publishDate 2024
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spelling my.uitm.ir-963342024-11-07T08:37:39Z https://ir.uitm.edu.my/id/eprint/96334/ Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin. (2024) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu. <http://terminalib.uitm.edu.my/96334.pdf>
spellingShingle Algorithms
Mohd Burhanudin, Muhammad Fakhrullah
Skincare product recommendation system using Content-Based Filtering Technique (CBF) / Muhammad Fakhrullah Mohd Burhanudin
title 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_short 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
topic Algorithms
url https://ir.uitm.edu.my/id/eprint/96334/1/96334.pdf
https://ir.uitm.edu.my/id/eprint/96334/
url_provider http://ir.uitm.edu.my/