Context-aware computing faces many challenges mainly due to the increasing number and heterogeneity of context sources, since the Internet of Things introduces billions of devices. The development of context-aware applications ...

The development of methods that can enhance the creativity process is becoming a continuous necessity. Through the years several researchers modelled and defined creativity focusing to the psychological aspect of the topic. ...

Learning can be observed in the creativity process. When this process is supported by a Creativity Support Tool (CST), considering the context in which ideas are developed, as well as the context around the user himself ...

Context modelling and context reasoning are widely used topics in Context-Aware Recommender Systems research. Based on our research, the development of context models in context-aware recommender systems is problematic in ...

The area of mobile location-based information systems enumerates many systems that enable their users to digitally annotate physical locations, providing in this way information to others about these locations, communicating ...

Datasets are used in various applications assisting in performing reasoning and grouping actions on available data (e.g., clustering, classification, recommendations). Such sources of information may contain aspects relevant ...

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This chapter presents the authors’ work for the Case Study entitled “Delivering Social Media with Scalability” within the framework of High-Performance Modelling and Simulation for Big Data Applications (cHiPSet) COST ...

Ubiquitous recommender systems combine characteristics from ubiquitous systems and recommender systems in order to provide personalized recommendations to users in ubiquitous environments. Although not a new research area, ...