Introduction
David Geiger
Additional contact information
David Geiger: University of Mannheim
Chapter Chapter 1 in Personalized Task Recommendation in Crowdsourcing Systems, 2016, pp 1-5 from Springer
Abstract:
Abstract Crowdsourcing is an umbrella term for approaches that harness the diverse potential of large groups of people via an open call for contribution over the Web. Using information technology as a facilitator, crowdsourcing organizations implement socio-technical systems to channel the contributions of human workforce, knowledge, skills, or perspectives within and beyond organizational boundaries into the generation of digital information products and services. Crowdsourcing systems have recently gained in popularity for a multitude of organizational functions, such as problem solving, knowledge aggregation, content generation, and large-scale data processing.
Keywords: Recommender System; Information Overload; Potential Contributor; Interested Individual; Design Science Research (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-22291-2_1
Ordering information: This item can be ordered from
http://www.springer.com/9783319222912
DOI: 10.1007/978-3-319-22291-2_1
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().