東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Personalized task recommendation in ...

Geiger, David.

Linked to FindBook

Google Book

Amazon

博客來

Personalized task recommendation in crowdsourcing systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Personalized task recommendation in crowdsourcing systems/ by David Geiger.
Author:	Geiger, David.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xi, 108 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Human computation. -
Online resource:	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

Personalized task recommendation in crowdsourcing systems
LDR:02378nmm a2200349 a 4500 001 2028748
003 DE-He213
005 20160718163419.0
006 m d
007 cr nn 008maaau
008 160908s2016 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 2179325
245 1 0 $a Personalized task recommendation in crowdsourcing systems $h [electronic resource] / $c by David Geiger.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
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 1730662
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a IT in Business. $3 2114922
650 2 4 $a User Interfaces and Human Computer Interaction. $3 892554
650 2 4 $a Information Systems Applications (incl. Internet) $3 1565452
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Progress in IS. $3 2055599
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-22291-2
950 $a Business and Economics (Springer-11643)