The recent proliferation of social networks as a main source of information and interaction
has led to a huge expansion of automatic e-recruitment systems and by consequence the …

Recently, dedicated web portals and social networks for the automatization of the
recruitment processes, have emerged with the expansion of the Internet, leading to a wide …

In the era of Big Data, users do not express or can't clearly express their wishes and
demands. Our work focuses on heterogeneous data extraction and analysis in order to make …

Nous présentons Cerebra, un système de recommandation de candidats facilitant l'e-
recrutement. Ce système a pour objectif de recommander des candidats potentiels pour une …

In recent times, Job seekers has dramatically increased. Hence, it has become very
strenuous to search for potential candidates. Recently recommendation systems have …

During the last decade, the expansion of automatic e-recruitment systems has led to the
multiplication of web channels (job boards) that are dedicated to job offers disseminations …

The purpose of this work is to present the recent results that we have obtained on a new job
board recommendation system. Firstly, the job applicant clickstreams history on various job …

This paper proposes a transparent selective sequential consistency approach to distributed
shared memory (DSM) systems. First, three basic techniques-time selection, processor …

Ce mémoire tente de répondre à une problématique très importante dans le domaine de
recrutement: l'appariement entre offre d'emploi et candidats. Dans notre cas nous disposons …

Les ressources humaines utilisent de plus en plus les données intelligentes et les
techniques du big data pour faciliter le recrutement. Ainsi, grâce aux profils des réseaux …