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19 April 2024 |
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Article overview
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Une mesure d'expertise pour le crowdsourcing | | Hosna Ouni
; Arnaud Martin
; Laetitia Gros
; Mouloud Kharoune
; Zoltan Miklos
; | | Date: |
17 Jan 2017 | | Abstract: | Crowdsourcing, a major economic issue, is the fact that the firm outsources
internal task to the crowd. It is a form of digital subcontracting for the
general public. The evaluation of the participants work quality is a major
issue in crowdsourcing. Indeed, contributions must be controlled to ensure the
effectiveness and relevance of the campaign. We are particularly interested in
small, fast and not automatable tasks. Several methods have been proposed to
solve this problem, but they are applicable when the "golden truth" is not
always known. This work has the particularity to propose a method for
calculating the degree of expertise in the presence of gold data in
crowdsourcing. This method is based on the belief function theory and proposes
a structuring of data using graphs. The proposed approach will be assessed and
applied to the data. | | Source: | arXiv, 1701.4645 | | Services: | Forum | Review | PDF | Favorites | |
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