Reputation system for C2C online auction
C2C online auction e-commerce is a high risk environment to do a transaction due to the transaction involves is solely between two people without any sense of agreement. Buyer or seller can only guess whether you transaction person is trustworthy. Therefore it is essential to have a reputation syste...
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2008
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my-utm-ep.362212018-07-23T05:45:55Z Reputation system for C2C online auction 2008 Bey, Fariz Rakhman HF Commerce QA75 Electronic computers. Computer science C2C online auction e-commerce is a high risk environment to do a transaction due to the transaction involves is solely between two people without any sense of agreement. Buyer or seller can only guess whether you transaction person is trustworthy. Therefore it is essential to have a reputation system built inside C2C online auction e-commerce. However, most of the reputation system or feedback system that have been built were by far being perfect, number of significant mechanism in most feedback system triggers buyers or sellers to leave unfair rating and bias rating between another. The feedback system in this research introduced 6 mechanisms which are retaliation prevention, reciprocation prevention, free-riding prevention, differentiate buyer and seller reputation score, detail rating for buyer and seller, and have new reputation score. The Feedback system that introduced in this research hopefully will help buyer and seller to have confidence to trust their transaction person as well as strengthen the trust of the C2C online auction ecommerce itself. 2008 Thesis http://eprints.utm.my/id/eprint/36221/ http://eprints.utm.my/id/eprint/36221/1/FarizRakhmanBeyMFSKS2008.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:735?queryType=vitalDismax&query=Reputation+system+for+C2C+online+auction&public=true masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System |
institution |
Universiti Teknologi Malaysia |
collection |
UTM Institutional Repository |
language |
English |
topic |
HF Commerce HF Commerce |
spellingShingle |
HF Commerce HF Commerce Bey, Fariz Rakhman Reputation system for C2C online auction |
description |
C2C online auction e-commerce is a high risk environment to do a transaction due to the transaction involves is solely between two people without any sense of agreement. Buyer or seller can only guess whether you transaction person is trustworthy. Therefore it is essential to have a reputation system built inside C2C online auction e-commerce. However, most of the reputation system or feedback system that have been built were by far being perfect, number of significant mechanism in most feedback system triggers buyers or sellers to leave unfair rating and bias rating between another. The feedback system in this research introduced 6 mechanisms which are retaliation prevention, reciprocation prevention, free-riding prevention, differentiate buyer and seller reputation score, detail rating for buyer and seller, and have new reputation score. The Feedback system that introduced in this research hopefully will help buyer and seller to have confidence to trust their transaction person as well as strengthen the trust of the C2C online auction ecommerce itself. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Bey, Fariz Rakhman |
author_facet |
Bey, Fariz Rakhman |
author_sort |
Bey, Fariz Rakhman |
title |
Reputation system for C2C online auction |
title_short |
Reputation system for C2C online auction |
title_full |
Reputation system for C2C online auction |
title_fullStr |
Reputation system for C2C online auction |
title_full_unstemmed |
Reputation system for C2C online auction |
title_sort |
reputation system for c2c online auction |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Computer Science and Information System |
granting_department |
Faculty of Computer Science and Information System |
publishDate |
2008 |
url |
http://eprints.utm.my/id/eprint/36221/1/FarizRakhmanBeyMFSKS2008.pdf |
_version_ |
1747816412299132928 |