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[null,"1.","Record Nr.",null,"UNINA9910254932203321"]
[null,null,"Autore",null,"Geiger David"]
[null,null,"Titolo",null,"Personalized Task Recommendation in Crowdsourcing Systems / / by David Geiger"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016"]
[null,null,"ISBN",null,"3-319-22291-0"]
[null,null,"Edizione",null,"[1st ed. 2016.]"]
[null,null,"Descrizione fisica",null,"1 online resource (116 p.)"]
[null,null,"Collana",null,"Progress in IS, , 2196-8705"]
[null,null,"Disciplina",null,"004.019"]
[null,null,"Soggetti",null,"Information technology"]
[{"$nulls":4},"Business—Data processing"]
[{"$nulls":4},"User interfaces (Computer systems)"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"IT in Business"]
[{"$nulls":4},"User Interfaces and Human Computer Interaction"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service  -- Personalized Task Recommendation in the Field -- Conclusion.  ."]
[null,null,null,"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 "]
[{"$nulls":4},"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."]