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arXiv · 1407.6714

CrowdSTAR: A Social Task Routing Framework for Online Communities

Besmira Nushi·Omar Alonso·Martin Hentschel·Vasileios Kandylas
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Abstract

The online communities available on the Web have shown to be significantly interactive and capable of collectively solving difficult tasks. Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability of their members. We introduce CrowdSTAR, a framework designed to route tasks across and within online crowds. CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.

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Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas. 2014-07-24. CrowdSTAR: A Social Task Routing Framework for Online Communities. https://arxiv.org/abs/1407.6714

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