Modelisation de l'incertitude et de l'imprecision de donnees de crowdsourcing : MONITOR

Autor:	Thierry, Constance, Dubois, Jean-Christophe, Gall, Yolande Le, Martin, Arnaud
Jazyk:	francouzština
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Crowdsourcing is defined as the outsourcing of tasks to a crowd of contributors. The crowd is very diverse on these platforms and includes malicious contributors attracted by the remuneration of tasks and not conscientiously performing them. It is essential to identify these contributors in order to avoid considering their responses. As not all contributors have the same aptitude for a task, it seems appropriate to give weight to their answers according to their qualifications. This paper, published at the ICTAI 2019 conference, proposes a method, MONITOR, for estimating the profile of the contributor and aggregating the responses using belief function theory. Comment: in French. Extraction et Gestion des Connaissances (EGC), Jan 2020, Bruxelles, Belgique
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2002.11717 Zobrazit plný text záznamu View this record from Arxiv