Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland

With the emergence of e-commerce, recommendation system has become a demand to recommend the right items to the right users. Recommendation system is a part of data mining, which is a process of obtaining useful information from a large amount of data. There are two problems that initiates the devel...

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Bibliographic Details
Main Author:	Azland, Fatin Nadhirah
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Cybernetics Analysis Instruments and machines Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/55121/1/55121.pdf
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id	my-uitm-ir.55121
record_format	uketd_dc
spelling	my-uitm-ir.551212023-06-12T00:19:24Z Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland 2021-02 Azland, Fatin Nadhirah Cybernetics Analysis Instruments and machines Electronic Computers. Computer Science Algorithms With the emergence of e-commerce, recommendation system has become a demand to recommend the right items to the right users. Recommendation system is a part of data mining, which is a process of obtaining useful information from a large amount of data. There are two problems that initiates the development of this project. One is the users having difficulty to identify which website that gives the best recommendation for the item they want, and the other problem is time consuming for customers to find the right items. For this project, literature study is done to understand the best approach to solve problems, then the system is developed using Python language with interfaces, and lastly evaluation is done to test the accuracy. The output that are shown to users are the item being recommended with its price and the website being collected. This project achieved all the objectives but has several limitations such as not optimal evaluation method, lack of user interface and the strict user input. 2021-02 Thesis https://ir.uitm.edu.my/id/eprint/55121/ https://ir.uitm.edu.my/id/eprint/55121/1/55121.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Mohamad, Norizan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamad, Norizan
topic	Cybernetics Analysis Instruments and machines Cybernetics Algorithms
spellingShingle	Cybernetics Analysis Instruments and machines Cybernetics Algorithms Azland, Fatin Nadhirah Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
description	With the emergence of e-commerce, recommendation system has become a demand to recommend the right items to the right users. Recommendation system is a part of data mining, which is a process of obtaining useful information from a large amount of data. There are two problems that initiates the development of this project. One is the users having difficulty to identify which website that gives the best recommendation for the item they want, and the other problem is time consuming for customers to find the right items. For this project, literature study is done to understand the best approach to solve problems, then the system is developed using Python language with interfaces, and lastly evaluation is done to test the accuracy. The output that are shown to users are the item being recommended with its price and the website being collected. This project achieved all the objectives but has several limitations such as not optimal evaluation method, lack of user interface and the strict user input.
format	Thesis
qualification_level	Bachelor degree
author	Azland, Fatin Nadhirah
author_facet	Azland, Fatin Nadhirah
author_sort	Azland, Fatin Nadhirah
title	Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
title_short	Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
title_full	Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
title_fullStr	Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
title_full_unstemmed	Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland
title_sort	personalized grocery' basket recommendation using content-based filtering algorithm / fatin nadhirah azland
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/55121/1/55121.pdf
_version_	1783734903818420224

Personalized grocery' basket recommendation using content-based filtering algorithm / Fatin Nadhirah Azland

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