Ontology and knowledge-based systems typically provide e-learning recommender systems.
However, ontology use in such systems is not well studied in systematic detail. Therefore …

Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …

An essential goal of recommendation systems is to provide users with accurate and
personalized recommendations that meet their preferences. With the rapid growth of IoT …

Adaptive context-aware learning environments (ACALEs) can detect the learner's context
and adapt learning materials to match the context. The support for context-awareness and …

The continuous growth of the internet has given rise to an overwhelming mass of learning
materials. Which has increased the demand for a recommendation system to filter …

Abstract Context Aware Mobile Learning Applications (CAMLA) are an emerging field of
research, they provide educational resources tailored to educational needs and particular …

We are living in a cyber-physical-social environment with a variety of lifestyles and values.
Living support has become important in such a diverse society. Owing to the ability to collect …

Mobile-based learning provides new experience to the learners to learn anything from
anywhere and anytime by using their portable or mobile device. Vast educational contents …

Since 2008, soaring international oil prices and environmental awareness have pushed
bicycle to be a green transport vehicle to reduce greenhouse gas emissions as a significant …

Recently, a number of studies on recommendation schemes over social network services
have been actively conducted. In this paper, we propose a group recommendation scheme …