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Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli

During the pandemic, most of the shops cannot be opened. So, it is difficult for the customer to meet and ask the expert such as the nursery keeper about the plants. Other than that, the customer usually takes more time to gather the information about the plants that they want to buy. The item-based...

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Main Authors: Hashim, Madihah Hannani, Khedzer, Shafiqah Alya, Mohd Ghazalli, Hajar Izzati
Format: Book Section
Language:English
Published: Faculty of Computer and Mathematical Sciences 2022
Subjects:
Path analysis. Structural equation modeling
Analytical methods used in the solution of physical problems
SB Plant culture
Online Access:https://ir.uitm.edu.my/id/eprint/69898/1/69898.pdf
https://ir.uitm.edu.my/id/eprint/69898/
https://jamcsiix.wixsite.com/2022
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record_format eprints
spelling my.uitm.ir.698982022-11-29T03:36:31Z https://ir.uitm.edu.my/id/eprint/69898/ Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli Hashim, Madihah Hannani Khedzer, Shafiqah Alya Mohd Ghazalli, Hajar Izzati Path analysis. Structural equation modeling Analytical methods used in the solution of physical problems SB Plant culture During the pandemic, most of the shops cannot be opened. So, it is difficult for the customer to meet and ask the expert such as the nursery keeper about the plants. Other than that, the customer usually takes more time to gather the information about the plants that they want to buy. The item-based collaborative filtering technique that is adapted in the system gives the recommendation to the customer based on the plants that they have bought. It will calculate the similarity between the items and calculate the rate that the customer gives when purchasing the plants. The methodology used is Modified Waterfall Model. The result shows that the system recommends items (plants) to the user, which is it based on the previous rating from other users. It can be concluded that that the item-based collaborative filtering technique gives is the plants recommendation to the customer and Modified Waterfall Model is an efficient design to develop the system. Faculty of Computer and Mathematical Sciences 2022 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/69898/1/69898.pdf Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli. (2022) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2022). Faculty of Computer and Mathematical Sciences, Kampus Jasin, Melaka, p. 11. ISBN 9789671533703 (Submitted) https://jamcsiix.wixsite.com/2022
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Path analysis. Structural equation modeling
Analytical methods used in the solution of physical problems
SB Plant culture
spellingShingle Path analysis. Structural equation modeling
Analytical methods used in the solution of physical problems
SB Plant culture
Hashim, Madihah Hannani
Khedzer, Shafiqah Alya
Mohd Ghazalli, Hajar Izzati
Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
description During the pandemic, most of the shops cannot be opened. So, it is difficult for the customer to meet and ask the expert such as the nursery keeper about the plants. Other than that, the customer usually takes more time to gather the information about the plants that they want to buy. The item-based collaborative filtering technique that is adapted in the system gives the recommendation to the customer based on the plants that they have bought. It will calculate the similarity between the items and calculate the rate that the customer gives when purchasing the plants. The methodology used is Modified Waterfall Model. The result shows that the system recommends items (plants) to the user, which is it based on the previous rating from other users. It can be concluded that that the item-based collaborative filtering technique gives is the plants recommendation to the customer and Modified Waterfall Model is an efficient design to develop the system.
format Book Section
author Hashim, Madihah Hannani
Khedzer, Shafiqah Alya
Mohd Ghazalli, Hajar Izzati
author_facet Hashim, Madihah Hannani
Khedzer, Shafiqah Alya
Mohd Ghazalli, Hajar Izzati
author_sort Hashim, Madihah Hannani
title Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
title_short Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
title_full Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
title_fullStr Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
title_full_unstemmed Nursery plants recommendation system using collaborative filtering technique / Madihah Hannani Hashim, Shafiqah Alya Khedzer and Hajar Izzati Mohd Ghazalli
title_sort nursery plants recommendation system using collaborative filtering technique / madihah hannani hashim, shafiqah alya khedzer and hajar izzati mohd ghazalli
publisher Faculty of Computer and Mathematical Sciences
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/69898/1/69898.pdf
https://ir.uitm.edu.my/id/eprint/69898/
https://jamcsiix.wixsite.com/2022
_version_ 1751539977610592256
score 13.211869

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