Laboratoire de Génie Informatique et d’Automatique de l’Artois

Ph.D. thesis of Malika BEN KHALIFA

Dealing with uncertainty in fake reviews detection within the belief function theory

Starting date: 7 May 2019
Keywords: Fake reviews detection, belief function theory
Advising:

The online reviews play an increasingly spreading role in consumer purchasing decisions and they are also considered as one of the most powerful source of information for companies. Due to this attraction, companies rely on spammers to promote their own products and demote the competitors one by posting fake reviews. Therefore, it is essential to detect deceptive reviews in order to ensure customers con-fidence and to maintain companies’ fair competition.
To tackle this problem, we propose an approach able to spot spam reviews relying both on the rating reviews and the different spammers indicators under belief function framework.

Involved research themes:

Partners

Institut Supérieur de Gestion de Tunis

University of Tunis
Tunisia

Defense

Defense took place the

Jury: