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Personalized task recommendation in ...

Geiger, David.

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Personalized task recommendation in crowdsourcing systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Personalized task recommendation in crowdsourcing systems/ by David Geiger.
作者:	Geiger, David.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xi, 108 p. :ill., digital ;24 cm.
內容註:	Introduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation -- Design of a Third-Party Task Recommendation Service -- Personalized Task Recommendation in the Field -- Conclusion.
Contained By:	Springer eBooks
標題:	Human computation. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-22291-2
ISBN:	9783319222912$q(electronic bk.)

Personalized task recommendation in crowdsourcing systems
Geiger, David.

Personalized task recommendation in crowdsourcing systems[electronic resource] /by David Geiger. - Cham :Springer International Publishing :2016. - xi, 108 p. :ill., digital ;24 cm. - Progress in IS,2196-8705. - Progress in IS..

Introduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation -- Design of a Third-Party Task Recommendation Service -- Personalized Task Recommendation in the Field -- Conclusion.

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.

ISBN: 9783319222912$q(electronic bk.)

Standard No.: 10.1007/978-3-319-22291-2doiSubjects--Topical Terms:

1730662
Human computation.

LC Class. No.: QA76.9.H84

Dewey Class. No.: 004.019

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