Personalized Task Recommendation in Crowdsourcing Systems - Couverture souple
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Synopsis
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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
David Geiger is a researcher in the field of information systems with a particular interest in crowdsourcing approaches and innovative software solutions. He holds a PhD and a master's degree from the Business School of the University of Mannheim, Germany. During his time as a research associate and lecturer, he has been a visiting scholar at the Queensland University of Technology in Brisbane and the Victoria University in Melbourne. His research has been supported by the German Research Foundation (DFG), the German Federal Ministry of Education and Research (BMBF), and the German Academic Exchange Service (DAAD).
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Personalized Task Recommendation in Crowdsourcing Systems (Progress in IS)
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Personalized Task Recommendation in Crowdsourcing Systems
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Springer International Publishing Aug 2016, 2016
ISBN 10 : 3319370588
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. N° de réf. du vendeur 9783319370583
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a conceptual framework for crowdsourcing systems and highlights their organizational functionsPresents the current state and future research agenda of personalized task recommendationDescribes the design of a modular r. N° de réf. du vendeur 448748014
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 120 pp. Englisch. N° de réf. du vendeur 9783319370583
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319370583
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Personalized Task Recommendation in Crowdsourcing Systems
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ISBN 10 : 3319370588
ISBN 13 : 9783319370583
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Taschenbuch. Etat : Neu. Personalized Task Recommendation in Crowdsourcing Systems | David Geiger | Taschenbuch | xi | Englisch | 2016 | Springer International Publishing | EAN 9783319370583 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 109581587
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Personalized Task Recommendation in Crowdsourcing Systems (Progress in IS)
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ISBN 13 : 9783319370583
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