Personalized Task Recommendation in Crowdsourcing Systems

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, sk...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Geiger, David (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Progress in IS,
Temas:
Business information services.
User interfaces (Computer systems).
Human-computer interaction.
Application software.
Data mining.
Artificial intelligence.
IT in Business.
User Interfaces and Human Computer Interaction.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Crowdsourcing Systems
  • Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service 
  • Personalized Task Recommendation in the Field
  • Conclusion.  .

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