IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-319-22291-2_5.html
   My bibliography  Save this book chapter

Personalized Task Recommendation in the Field

In: Personalized Task Recommendation in Crowdsourcing Systems

Author

Listed:
  • David Geiger

    (University of Mannheim)

Abstract

This chapter evaluates the potential of the developed prototype to realize and study personalized task recommendation on existing crowdsourcing platforms and thereby improve the match between contributors and available tasks. To this intent, the following sections present a sequence of three studies that were conducted along the process of field testing and deploying the metacrowd service on the Mechanical Turk platform. Section 5.1 first describes a pilot study that gathered initial feedback from a small group of experienced contributors. Section 5.2 then lays out the details of a large-scale survey on general task search behavior and on the perceived utility of the metacrowd service. Section 5.3, finally, analyzes a dataset that was gathered during an extended period of productive use and discusses the challenges identified during the evaluation.

Suggested Citation

  • David Geiger, 2016. "Personalized Task Recommendation in the Field," Progress in IS, in: Personalized Task Recommendation in Crowdsourcing Systems, edition 1, chapter 0, pages 61-80, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-22291-2_5
    DOI: 10.1007/978-3-319-22291-2_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:prochp:978-3-319-22291-2_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.