Reputation-based task allocation for improving realibility in crowdsourcing

Crowdsourcing has been increasing popular nowadays. The act of outsourcing job or task to the group of unknown individuals without any commitment like usual benefit given to the employee has gained acceptance to the not only corporate world but also to a world leader. Website that can be access anyw...

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Main Author:	Abu Jaziz, Mohd Khairul Sazaney
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Human computation
Online Access:	http://psasir.upm.edu.my/id/eprint/71067/1/FSKTM%202017%2011%20-%20IR.pdf
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id	my-upm-ir.71067
record_format	uketd_dc
spelling	my-upm-ir.710672019-08-13T08:41:59Z Reputation-based task allocation for improving realibility in crowdsourcing 2017-01 Abu Jaziz, Mohd Khairul Sazaney Crowdsourcing has been increasing popular nowadays. The act of outsourcing job or task to the group of unknown individuals without any commitment like usual benefit given to the employee has gained acceptance to the not only corporate world but also to a world leader. Website that can be access anywhere and anytime is one of the attraction or key factor for them to use this new wave of employment. The crowdsourcing system such as Amazon Mechanical Turk (MTurk) which has millions of registered user base offer requester to post a task that can be solved by a group or an individual of workers with a minimum fee. In return, the reward will be given to the successful worker determine by the requester or evaluator. In a borderless world, chances of malicious or adversaries attempt is high. Moreover, the requester does not have any profile of workers who work for them. Any slight of bad result will jeopardize the outcome of their company’s operation and the reliability of crowdsourcing system. In realizing that, we are proposing to introduce a reputation management to be embedded into crowdsourcing before appointing tasks to the worker. The workers will be scrutinized their trustworthiness before assign the task to them. Hence, our objective is to design the trustiness scheme for crowd worker and develop a reputation-based resource allocation using trust factor The experiment has been conducted and the result shows that the reliable worker always guarantee that all task can be executed within task duration time given. Human computation 2017-01 Thesis http://psasir.upm.edu.my/id/eprint/71067/ http://psasir.upm.edu.my/id/eprint/71067/1/FSKTM%202017%2011%20-%20IR.pdf text en public masters Universiti Putra Malaysia Human computation
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Human computation
spellingShingle	Human computation Abu Jaziz, Mohd Khairul Sazaney Reputation-based task allocation for improving realibility in crowdsourcing
description	Crowdsourcing has been increasing popular nowadays. The act of outsourcing job or task to the group of unknown individuals without any commitment like usual benefit given to the employee has gained acceptance to the not only corporate world but also to a world leader. Website that can be access anywhere and anytime is one of the attraction or key factor for them to use this new wave of employment. The crowdsourcing system such as Amazon Mechanical Turk (MTurk) which has millions of registered user base offer requester to post a task that can be solved by a group or an individual of workers with a minimum fee. In return, the reward will be given to the successful worker determine by the requester or evaluator. In a borderless world, chances of malicious or adversaries attempt is high. Moreover, the requester does not have any profile of workers who work for them. Any slight of bad result will jeopardize the outcome of their company’s operation and the reliability of crowdsourcing system. In realizing that, we are proposing to introduce a reputation management to be embedded into crowdsourcing before appointing tasks to the worker. The workers will be scrutinized their trustworthiness before assign the task to them. Hence, our objective is to design the trustiness scheme for crowd worker and develop a reputation-based resource allocation using trust factor The experiment has been conducted and the result shows that the reliable worker always guarantee that all task can be executed within task duration time given.
format	Thesis
qualification_level	Master's degree
author	Abu Jaziz, Mohd Khairul Sazaney
author_facet	Abu Jaziz, Mohd Khairul Sazaney
author_sort	Abu Jaziz, Mohd Khairul Sazaney
title	Reputation-based task allocation for improving realibility in crowdsourcing
title_short	Reputation-based task allocation for improving realibility in crowdsourcing
title_full	Reputation-based task allocation for improving realibility in crowdsourcing
title_fullStr	Reputation-based task allocation for improving realibility in crowdsourcing
title_full_unstemmed	Reputation-based task allocation for improving realibility in crowdsourcing
title_sort	reputation-based task allocation for improving realibility in crowdsourcing
granting_institution	Universiti Putra Malaysia
publishDate	2017
url	http://psasir.upm.edu.my/id/eprint/71067/1/FSKTM%202017%2011%20-%20IR.pdf
_version_	1747812964839194624

Reputation-based task allocation for improving realibility in crowdsourcing

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