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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA de Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Tarek Awwad

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PhD student

Team Distributed Systems, Information Retrieval and Mobility
 
Institution Institut National des Sciences Appliquées de Lyon
Location Blaise Pascal (INSA)
 
E-mail tarek.awwad at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Efficient quality control in crowdsourcing systems
Abstract Crowdsourcing (CS) has emerged as a very promising approach for obtaining services, feedback or data from a large number of people connected through the Internet, in a short time and at a reasonable cost. CS has been used in a large range of contexts, thus proving its versatility. However, being generated by anonymous actors, crowd-sourced services and data are of unguaranteed quality. Indeed, Their correctness depends on two factors: (i) the reliability and trustworthiness of the contributors and (ii) the influence of their subjectivity on their contributions. Therefore the quality of these services and data must be verified. This verification usually results in additional time and cost. In this context, the goal of this PhD thesis is to provide the theoretical and practical elements needed to address the following question: how to control the quality of the crowd-sourced data, taking into account the specificity of each worker and each task, while minimizing budget and time overheads and being agnostic from complementary knowledge such as gold answers and trust information about workers (as in real life this knowledge is not available).
Advisor Lionel Brunie
Advisor Nadia Bennani

Last update : 2016-02-04 13:08:23