Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
This paper describes a new generic metadata model, called CAM Metamodel, that merges altogether information about content, services, physical and technical environment in order to...
Ioan Marius Bilasco, Samir Amir, Patrick Blandin, ...
Although existing models of e-learning effectiveness in information systems (IS) have increased our understanding of how technology can support and enhance learning, most of our m...
Software architecture descriptions are high-level models of software systems. Some researchers have proposed specialpurpose architectural notations that have a great deal of expre...
Jason E. Robbins, Nenad Medvidovic, David F. Redmi...