Personalized task recommendation in crowdsourcing systems [electronic resource] / David Geiger.
2016
QA76.9.H84
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Can lend chapters, not whole ebooks
Details
Title
Personalized task recommendation in crowdsourcing systems [electronic resource] / David Geiger.
Author
Geiger, David, author.
ISBN
9783319222912 (electronic book)
3319222910 (electronic book)
9783319222905
3319222902
3319222910 (electronic book)
9783319222905
3319222902
Published
Cham : Springer, [2016]
Copyright
©2016
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-22291-2 doi
Call Number
QA76.9.H84
Dewey Decimal Classification
004.01/9
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed September 12, 2015)
Series
Progress in IS.
Available in Other Form
Print version: 9783319222905
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Online Access
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Table of Contents
Introduction
Crowdsourcing Systems
Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service
Personalized Task Recommendation in the Field
Conclusion. .
Crowdsourcing Systems
Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service
Personalized Task Recommendation in the Field
Conclusion. .