Design of a Third-Party Task Recommendation Service

David Geiger
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David Geiger: University of Mannheim

Chapter Chapter 4 in Personalized Task Recommendation in Crowdsourcing Systems, 2016, pp 31-59 from Springer

Abstract: Abstract Building on the insights that were gained during the literature review, this chapter describes the prototypical design of a third-party task recommendation service called metacrowd, which integrates with existing crowdsourcing systems that do not feature built-in recommendation mechanisms. In line with the identified need for large-scale field research, metacrowd provides a platform for studies in real-world, productive contexts. The setup permits complete control over the recommender system design and, consequently, facilitates the extensive collection of related research data and the systematic study of specific design aspects.

Keywords: Recommender System; Application Service; Business Logic; Preference Estimate; Uniform Resource Identifier (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-22291-2_4

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