Abstract | ||
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In this paper, we propose a multi-dimensional approach to support modeling and consensus management in collective crowdsourcing applications/problems. We define the notion of crowd-consensus, and, for each dimension of analysis, we set pre-defined dimensional levels capturing the different variabilities characterizing the crowd-consensus along that dimension in different applications/problems. The design of a crowdsourcing task for a given target problem requires to characterize the task with respect to each dimension following a pattern-based approach. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/978-3-319-25264-3_31 | CONCEPTUAL MODELING, ER 2015 |
Keywords | Field | DocType |
Crowd-consensus modeling, Crowd-consensus evaluation, Pattern-based task design | Data mining,Multi dimensional,Crowdsourcing,Computer science | Conference |
Volume | ISSN | Citations |
9381 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 11 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Silvana Castano | 1 | 2120 | 371.52 |
Alfio Ferrara | 2 | 710 | 59.86 |
Stefano Montanelli | 3 | 422 | 42.17 |