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Design of a Third-Party Task Recommendation Service

In: Personalized Task Recommendation in Crowdsourcing Systems

Author

Listed:
  • David Geiger

    (University of Mannheim)

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.

Suggested Citation

  • David Geiger, 2016. "Design of a Third-Party Task Recommendation Service," Progress in IS, in: Personalized Task Recommendation in Crowdsourcing Systems, edition 1, chapter 0, pages 31-59, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-22291-2_4
    DOI: 10.1007/978-3-319-22291-2_4
    as

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