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Recommender System for E-Business Website

The main objective of this project is to provide a recommender system for e-business website that give suggestion of items to the customers based on their preference. The scope of study for this project are the combination of theory of recommender system, e-business website function, analyzing prefe...

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Bibliographic Details
Main Author: Mohamed Ali, Syuhada
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2013
Online Access:http://utpedia.utp.edu.my/13611/1/Syuhada_13919.pdf
http://utpedia.utp.edu.my/13611/
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spelling my-utp-utpedia.136112017-01-25T09:38:37Z http://utpedia.utp.edu.my/13611/ Recommender System for E-Business Website Mohamed Ali, Syuhada The main objective of this project is to provide a recommender system for e-business website that give suggestion of items to the customers based on their preference. The scope of study for this project are the combination of theory of recommender system, e-business website function, analyzing preference of customers based on collaborative filtering algorithms and developing the recommender system for e-business website. A set of questionnaire distributed to a group of people to study more on recommender system from the user’s point of view. By using collaborative filtering algorithms, the suggested items of an active user will be predicted based on the ratings of the items by the previous users that have the most similar preferences with the active user. This project using Rapid Application Development (RAD) methodology in developing the prototype as it is the most suitable methodology with the less of 10 months execution time to finish the project. The Gantt chart and key milestones also included to keep track the progress of the project. In results and discussion, the analysis of the survey distributed is discussed and the simulation of recommender system using a web based prototype also discussed in the same chapter. As conclusion, the suggested future work for expansion and continuation in implementing this project also included. Universiti Teknologi Petronas 2013-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/13611/1/Syuhada_13919.pdf Mohamed Ali, Syuhada (2013) Recommender System for E-Business Website. Universiti Teknologi Petronas.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description The main objective of this project is to provide a recommender system for e-business website that give suggestion of items to the customers based on their preference. The scope of study for this project are the combination of theory of recommender system, e-business website function, analyzing preference of customers based on collaborative filtering algorithms and developing the recommender system for e-business website. A set of questionnaire distributed to a group of people to study more on recommender system from the user’s point of view. By using collaborative filtering algorithms, the suggested items of an active user will be predicted based on the ratings of the items by the previous users that have the most similar preferences with the active user. This project using Rapid Application Development (RAD) methodology in developing the prototype as it is the most suitable methodology with the less of 10 months execution time to finish the project. The Gantt chart and key milestones also included to keep track the progress of the project. In results and discussion, the analysis of the survey distributed is discussed and the simulation of recommender system using a web based prototype also discussed in the same chapter. As conclusion, the suggested future work for expansion and continuation in implementing this project also included.
format Final Year Project
author Mohamed Ali, Syuhada
spellingShingle Mohamed Ali, Syuhada
Recommender System for E-Business Website
author_facet Mohamed Ali, Syuhada
author_sort Mohamed Ali, Syuhada
title Recommender System for E-Business Website
title_short Recommender System for E-Business Website
title_full Recommender System for E-Business Website
title_fullStr Recommender System for E-Business Website
title_full_unstemmed Recommender System for E-Business Website
title_sort recommender system for e-business website
publisher Universiti Teknologi Petronas
publishDate 2013
url http://utpedia.utp.edu.my/13611/1/Syuhada_13919.pdf
http://utpedia.utp.edu.my/13611/
_version_ 1739831917023330304
score 13.211869

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