Model-driven engineering is a powerful approach to build large-scale applications. However, an application’s metamodel often remains static after the initial development phase an...
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
The notion of application – a single, bounded piece of functionality presented to users – goes almost unquestioned. However in the context of highly adaptive and ambient system...
— Most e-learning systems require intervention from a teacher. The development of adaptive hypermedia systems, such as intelligent tutoring systems, aimed to reduce the teachers...