Conclusion

David Geiger
Additional contact information
David Geiger: University of Mannheim

Chapter Chapter 6 in Personalized Task Recommendation in Crowdsourcing Systems, 2016, pp 81-82 from Springer

Abstract: Abstract This book has engaged in the study of personalized task recommendation mechanisms, which assist contributors in crowdsourcing systems with the discovery of tasks that match their individual interests and capabilities. In order to advance the body of knowledge regarding the potential and the design of such mechanisms, the previous chapters have described a series of consecutive studies, which are part of an overarching knowledge building process within the design science research paradigm. This concluding chapter provides a brief summary of the presented studies and highlights the major contributions.

Keywords: Personalized Task Recommendation; Design Science Research Paradigm; Socio-technical Systems Perspective; Significant Empirical Results; Specific Search Criteria (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_6

Ordering information: This item can be ordered from
http://www.springer.com/9783319222912

DOI: 10.1007/978-3-319-22291-2_6

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 ().