The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …

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 …

Too many mobile applications in App stores results in information overload in App market.
Mobile users are confused in choosing suitable and trustworthy mobile applications due to a …

Recommender systems appeared in the early 90s to help users deal with cognitive overload
brought by the internet. From there to now, such systems have assumed many other roles …

This study presents a new generalized recommender system framework based on
Blockchain technology called BC-Rec. Blockchain technology is a decentralized data …

Smart cities could be defined as urban areas that use Information and Communication
Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware …

Considering the diversity of proposed cloud computing services in federated clouds, users
should be very well aware of their current required and future expected resources and …

Smart cities are one of the emerging domains for computational applications. Many of these
applications may benefit from the ubiquitous computing paradigm to provide better services …

An essential aspect of smart city applications is how to obtain context data about their users
and understand them. Several works in the last decades have presented context recognition …

Recommender Systems are software used to suggest user items in a personalized and
automated way. When combined with Points of Interest (POI), they can set locations as …