國立虎尾科技大學 |

Personalized task recommendation in crowdsourcing systems

紀錄類型:	書目-語言資料,印刷品 : 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.;
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

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

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

1000057
Human computation.

LC Class. No.: QA76.9.H84

Dewey Class. No.: 004.019

Personalized task recommendation in crowdsourcing systems
LDR:02378nam a2200349 a 4500 001 860431
003 DE-He213
005 20160718163419.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319222912 $q (electronic bk.)
020 $a 9783319222905 $q (paper)
024 7 $a 10.1007/978-3-319-22291-2 $2 doi
035 $a 978-3-319-22291-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.H84
072 7 $a KJQ $2 bicssc
072 7 $a UF $2 bicssc
072 7 $a BUS083000 $2 bisacsh
072 7 $a COM039000 $2 bisacsh
082 0 4 $a 004.019 $2 23
090 $a QA76.9.H84 $b G312 2016
100 1 $a Geiger, David. $3 1102058
245 1 0 $a Personalized task recommendation in crowdsourcing systems $h [electronic resource] / $c by David Geiger.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
300 $a xi, 108 p. : $b ill., digital ; $c 24 cm.
490 1 $a Progress in IS, $x 2196-8705
505 0 $a Introduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation -- Design of a Third-Party Task Recommendation Service -- Personalized Task Recommendation in the Field -- Conclusion.
520 $a 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.
650 0 $a Human computation. $3 1000057
650 1 4 $a Business and Management. $2 eflch $3 934826
650 2 4 $a IT in Business. $3 1064965
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Information Systems Applications (incl. Internet) $3 815116
650 2 4 $a Data Mining and Knowledge Discovery. $3 677765
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Progress in IS. $3 1020836
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22291-2
950 $a Business and Economics (Springer-11643)