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Personalized Task Recommendation in Crowdsourcing Systems / / by David Geiger



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Autore: Geiger David Visualizza persona
Titolo: Personalized Task Recommendation in Crowdsourcing Systems / / by David Geiger Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (116 p.)
Disciplina: 004.019
Soggetto topico: Information technology
Business—Data processing
User interfaces (Computer systems)
Application software
Data mining
Artificial intelligence
IT in Business
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Data Mining and Knowledge Discovery
Artificial Intelligence
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service  -- Personalized Task Recommendation in the Field -- Conclusion.  .
Sommario/riassunto: 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.
Titolo autorizzato: Personalized Task Recommendation in Crowdsourcing Systems  Visualizza cluster
ISBN: 3-319-22291-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254932203321
Lo trovi qui: Univ. Federico II
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Serie: Progress in IS, . 2196-8705