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024 7 $a10.1007/978-3-319-22291-2
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100   $a20150908d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPersonalized Task Recommendation in Crowdsourcing Systems /$fby David Geiger
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (116 p.)
225 1 $aProgress in IS,$x2196-8705
300   $aDescription based upon print version of record.
311 08$a3-319-22290-2 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Crowdsourcing Systems -- Current state of Personalized Task Recommendation.- Design of a Third-Party Task Recommendation Service  -- Personalized Task Recommendation in the Field -- Conclusion.  .
330   $aThis book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency. It discusses the challenges faced by personalized task recommendation when crowdsourcing systems channel human workforces, knowledge, skills and perspectives beyond traditional organizational boundaries. The solutions presented help interested individuals find tasks that closely match their personal interests and capabilities in a context of ever-increasing opportunities of participating in crowdsourcing activities. In order to explore the design of mechanisms that generate task recommendations based on individual preferences, the book first lays out a conceptual framework that guides the analysis and design of crowdsourcing systems. Based on a comprehensive review of existing research, it then develops and evaluates a new kind of task recommendation service that integrates with existing systems. The resulting prototype provides a platform for both the field study and the practical implementation of task recommendation in productive environments.
410  0$aProgress in IS,$x2196-8705
606   $aInformation technology
606   $aBusiness?Data processing
606   $aUser interfaces (Computer systems)
606   $aApplication software
606   $aData mining
606   $aArtificial intelligence
606   $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000
606   $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aInformation technology.
615  0$aBusiness?Data processing.
615  0$aUser interfaces (Computer systems)
615  0$aApplication software.
615  0$aData mining.
615  0$aArtificial intelligence.
615 14$aIT in Business.
615 24$aUser Interfaces and Human Computer Interaction.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
676   $a004.019
700   $aGeiger$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0934402
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254932203321
996   $aPersonalized Task Recommendation in Crowdsourcing Systems$92104158
997   $aUNINA