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.

Meeting Name

34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015 (2015: Apr. 26-May 1, Hong Kong)

Department(s)

Computer Science

Keywords and Phrases

Artificial intelligence; Distributed computer systems, Crowdsourcing; Machine learning methods; Reputation systems; Wisdom of crowds, Learning systems

International Standard Book Number (ISBN)

978-146737131-5

International Standard Serial Number (ISSN)

0743-166X

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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