As the amount of scientific information available to researchers increases, the challenge of sifting through the information to find what is truly important to their work increase...
Linn Marks Collins, Ketan K. Mane, Mark L. B. Mart...
In this paper we present a hybrid filtering algorithm that attempts to deal with low prediction Coverage, a problem especially present in sparse datasets. We focus on Item HyCoV, a...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
The evolution of learning systems brought improvements to the functionality of their components by offering support and mediating learning, communication and collaboration. However...
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...