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Conclusion

In: Personalized Task Recommendation in Crowdsourcing Systems

Author

Listed:
  • David Geiger

    (University of Mannheim)

Abstract

This book has engaged in the study of personalized task recommendation mechanisms, which assist contributors in crowdsourcing systems with the discovery of tasks that match their individual interests and capabilities. In order to advance the body of knowledge regarding the potential and the design of such mechanisms, the previous chapters have described a series of consecutive studies, which are part of an overarching knowledge building process within the design science research paradigm. This concluding chapter provides a brief summary of the presented studies and highlights the major contributions.

Suggested Citation

  • David Geiger, 2016. "Conclusion," Progress in IS, in: Personalized Task Recommendation in Crowdsourcing Systems, edition 1, chapter 0, pages 81-82, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-22291-2_6
    DOI: 10.1007/978-3-319-22291-2_6
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