An endorsement-based reputation system for trustworthy crowdsourcing

Chunchun Wu; Tie Luo; Fan Wu; Guihai Chen

doi:10.1109/INFCOMW.2015.7179357

An endorsement-based reputation system for trustworthy crowdsourcing

Chunchun Wu, Tie Luo, Fan Wu, Guihai Chen

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Crowdsourcing is a new distributed computing paradigm that leverages the wisdom of crowd and the voluntary human effort to solve problems or collect data. In this paradigm of soliciting user contributions, the trustworthiness of contributions becomes a matter of crucial importance to the viability of crowdsourcing. Prior mechanisms either do not consider the trustworthiness of contributions or assess the quality of contributions only after the event, resulting in irreversible effort exertion and distorted player utilities. In this paper, we propose a reputation system to not only assess but also predict the trustworthiness of user contributions. In particular, we explore an inter-worker relationship called endorsement to improve trustworthiness prediction using machine learning methods, while taking into account the heterogeneity of both workers and tasks.

Original language	English
Title of host publication	2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
Pages	89-90
Number of pages	2
ISBN (Electronic)	9781467371315
DOIs	https://doi.org/10.1109/INFCOMW.2015.7179357
State	Published - Aug 4 2015
Event	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 - Hong Kong, Hong Kong Duration: Apr 26 2015 → May 1 2015

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2015-August
ISSN (Print)	0743-166X

Conference

Conference	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	4/26/15 → 5/1/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

Access to Document

10.1109/INFCOMW.2015.7179357

Cite this

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title = "An endorsement-based reputation system for trustworthy crowdsourcing",

abstract = "Crowdsourcing is a new distributed computing paradigm that leverages the wisdom of crowd and the voluntary human effort to solve problems or collect data. In this paradigm of soliciting user contributions, the trustworthiness of contributions becomes a matter of crucial importance to the viability of crowdsourcing. Prior mechanisms either do not consider the trustworthiness of contributions or assess the quality of contributions only after the event, resulting in irreversible effort exertion and distorted player utilities. In this paper, we propose a reputation system to not only assess but also predict the trustworthiness of user contributions. In particular, we explore an inter-worker relationship called endorsement to improve trustworthiness prediction using machine learning methods, while taking into account the heterogeneity of both workers and tasks.",

author = "Chunchun Wu and Tie Luo and Fan Wu and Guihai Chen",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 ; Conference date: 26-04-2015 Through 01-05-2015",

year = "2015",

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doi = "10.1109/INFCOMW.2015.7179357",

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Wu, C, Luo, T, Wu, F & Chen, G 2015, An endorsement-based reputation system for trustworthy crowdsourcing. in 2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015., 7179357, Proceedings - IEEE INFOCOM, vol. 2015-August, pp. 89-90, IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015, Hong Kong, Hong Kong, 4/26/15. https://doi.org/10.1109/INFCOMW.2015.7179357

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T1 - An endorsement-based reputation system for trustworthy crowdsourcing

AU - Wu, Chunchun

AU - Luo, Tie

AU - Wu, Fan

AU - Chen, Guihai

PY - 2015/8/4

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N2 - Crowdsourcing is a new distributed computing paradigm that leverages the wisdom of crowd and the voluntary human effort to solve problems or collect data. In this paradigm of soliciting user contributions, the trustworthiness of contributions becomes a matter of crucial importance to the viability of crowdsourcing. Prior mechanisms either do not consider the trustworthiness of contributions or assess the quality of contributions only after the event, resulting in irreversible effort exertion and distorted player utilities. In this paper, we propose a reputation system to not only assess but also predict the trustworthiness of user contributions. In particular, we explore an inter-worker relationship called endorsement to improve trustworthiness prediction using machine learning methods, while taking into account the heterogeneity of both workers and tasks.

AB - Crowdsourcing is a new distributed computing paradigm that leverages the wisdom of crowd and the voluntary human effort to solve problems or collect data. In this paradigm of soliciting user contributions, the trustworthiness of contributions becomes a matter of crucial importance to the viability of crowdsourcing. Prior mechanisms either do not consider the trustworthiness of contributions or assess the quality of contributions only after the event, resulting in irreversible effort exertion and distorted player utilities. In this paper, we propose a reputation system to not only assess but also predict the trustworthiness of user contributions. In particular, we explore an inter-worker relationship called endorsement to improve trustworthiness prediction using machine learning methods, while taking into account the heterogeneity of both workers and tasks.

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M3 - Conference contribution

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T3 - Proceedings - IEEE INFOCOM

SP - 89

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BT - 2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015

T2 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015

Y2 - 26 April 2015 through 1 May 2015

ER -

An endorsement-based reputation system for trustworthy crowdsourcing

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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