大葉大學圖書館 |

Personalized task recommendation in crowdsourcing systems[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	004.019
書名/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.
Contained By:	Springer eBooks
標題:	Human computation.
標題:	Business and Management.
標題:	IT in Business.
標題:	User Interfaces and Human Computer Interaction.
標題:	Information Systems Applications (incl. Internet)
標題:	Data Mining and Knowledge Discovery.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319222912
ISBN:	9783319222905
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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-22291-2

Personalized task recommendation in crowdsourcing systems[electronic resource] /
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

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

571015
Human computation.

LC Class. No.: QA76.9.H84

Dewey Class. No.: 004.019

Personalized task recommendation in crowdsourcing systems[electronic resource] /
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