Collaborative filtering is among the most preferred techniques when implementing
recommender systems. Recently, great interest has turned toward parallel and distributed …

More often than not, it is becoming increasingly evident that the weakest links in the
information-security chain are the people. Due an increase in information security threats, it …

Recently, the extraction of valid information from big data has witnessed a growing interest.
Nowadays, in social networks, large parts of websites collect user profiles to provide some …

Recommender systems predict user preferences based on a range of available information.
For systems in which users generate streams of content (eg, blogs, periodically-updated …

Internet constitue un environnement évolutif déstructuré et quasi-infini proposant des
documents hétérogènes notamment à travers le Web et les intranets d'entreprises. La …

Recently, an ever increasing number of e‐Commerce tools has been made available that
are able to help customers by generating purposed recommendations. Many of them are …

As resource spaces become ever larger, the need for tools to help users find pertinent and
reliable resources quickly and easily is more and more acute. Recommender systems are …

Social Recommendations: Mentor and Leader Detection to Alleviate the Cold-Start Problem in
Collaborative Filtering: Media & Communications Book Chapter | IGI Global IGI Global Get IGI …

The number of items that users can now access when navigating on the Web is so huge that
these might feel lost. Recommender systems are a way to cope with this profusion of data by …

In this paper, we investigate an innovative recommendation system by incorporating
relevant social opinion and sentiment information. Our recommendation system, a powerful …