A simulation for content-based and utility-based recommendation of candidate coalitions in virtual creativity teams
Author(s) -
Rory L. L. Sie,
Marlies Bitter-Rijpkema,
Peter Sloep
Publication year - 2010
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2010.08.015
Subject(s) - computer science , creativity , value (mathematics) , content (measure theory) , knowledge management , machine learning , psychology , social psychology , mathematical analysis , mathematics
Psychological literature shows that people do not always make rational choices with respect to whom to collaborate with. Providing the value of candidate connections may help them choosing the right people to connect with in a network. This paper presents a model about coalitions in creativity that will be used to generate content-based and knowledge-based recommendations of candidate coalitions
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