GP-selector:a generic participant selection framework for mobile crowdsourcing systems

Wang, Jiangtao and Wang, Yasha and Wang, Leye and He, Yuanduo (2018) GP-selector:a generic participant selection framework for mobile crowdsourcing systems. World Wide Web, 21 (3). pp. 759-782. ISSN 1386-145X

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Abstract

Participant selection is a common and crucial function for mobile crowdsourcing (MCS) systems or platforms. This paper introduces a generic framework, named GP-Selector, to handle the participant selection from MCS task creation time to runtime. Compared to existing approaches, ours has the following two unique features. 1) In the task creation time, it assists task creators with diverse levels of programming skills to define basic requirements of participant selection. 2) In the runtime, it adopts a two-phase selection process to select participants who not only meet the basic requirements but also are willing to accept the task. Specifically, we utilize the state-of-the-art techniques including ontology modeling, end-user programming and multi-classifier fusion to implement GP-Selector. We evaluate GP-Selector extensively in three aspects: the end-user task creation, the expressiveness of the core ontology model, and the willingness-based selection algorithm. The evaluation results demonstrate the usability and effectiveness.

Item Type:
Journal Article
Journal or Publication Title:
World Wide Web
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1705
Subjects:
ID Code:
131967
Deposited By:
Deposited On:
14 Mar 2019 14:50
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Sep 2020 08:42