By now, personal life has been invaded by online social networks (OSNs) everywhere. They
intend to move more and more offline lives to online social networks. Therefore, online …

In this paper, we present a personalized recommender system able to suggest to the target
user itineraries that both meet her preferences and needs, and are sensitive to her physical …

In this paper, we propose an approach based on the integration of a chatbot module, a
location-based service, and a recommendation algorithm. This approach has been …

One of the current phenomena reshaping the world as we know it, is the proliferation of
social media online services. Popular examples include text-based collaborative projects …

The effective item recommendations in the online business websites are largely based on
the efficient study of product reviews. This paper describes the data science approach to …

With the increasing information overload, the identification of new users really relevant to the
target user becomes more and more complicated. In this paper, we propose a social …

In this article, we propose a system able to implicitly assess a user's expertise in a particular
topic based on her publications (eg, scientific papers) on it and available through online …

Les données essentielles, à savoir les aspects des produits et les opinions, sont extraites
des commentaires en ligne. Les avis obtenus sont ensuite analysés pour les orientations …

Revised: 10/Jan/2018, Accepted: 25/Jan/2018, Published: 31/Jan/2018 Abstract: Crucial
data like product features and opinions are mined from online reviews. The obtained …

Technologic revolutions lead toward the progression of online networking sites, such as
Facebook, Flickr, Instagram, Twitter, and LinkedIn, intending to transfer/communicate …