Personalized Task Recommendation in Crowdsourcing Systems

  • DavidĀ Geiger

Part of the Progress in IS book series (PROIS)

Table of contents

  1. Front Matter
    Pages i-xi
  2. David Geiger
    Pages 1-5
  3. David Geiger
    Pages 7-14
  4. David Geiger
    Pages 81-82
  5. Back Matter
    Pages 83-108

About this book


This book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency. It discusses the challenges faced by personalized task recommendation when crowdsourcing systems channel human workforces, knowledge, skills and perspectives beyond traditional organizational boundaries. The solutions presented help interested individuals find tasks that closely match their personal interests and capabilities in a context of ever-increasing opportunities of participating in crowdsourcing activities.

In order to explore the design of mechanisms that generate task recommendations based on individual preferences, the book first lays out a conceptual framework that guides the analysis and design of crowdsourcing systems. Based on a comprehensive review of existing research, it then develops and evaluates a new kind of task recommendation service that integrates with existing systems. The resulting prototype provides a platform for both the field study and the practical implementation of task recommendation in productive environments.


Crowdsourcing Personalized task recommentation Recommender systems Task matching Task recommendation Task routing

Authors and affiliations

  • DavidĀ Geiger
    • 1
  1. 1.University of MannheimMannheimGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-22290-5
  • Online ISBN 978-3-319-22291-2
  • Series Print ISSN 2196-8705
  • Series Online ISSN 2196-8713
  • Buy this book on publisher's site
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