Softwarized Attention-Based Context-Aware Group Recommendation Technology in Event-Based Industrial Cyber-Physical Systems

Cloud-Based Testing for Context-Aware Cyber-Physical Systems

Cloud-based applications like email services or office suites enable real-time collaboration and traceability for shared data from nearly anywhere by using a modern web-browser. Thus, a significant shift has happened to these common applications to focus only on their usage than on their maintenance. However, today’s software development projects spend a noteworthy amount of resources to setup ...

Agent-based architecture for context-aware and personalized event recommendation

In order to offer context-aware and personalized information, intelligent processing techniques are necessary. Different initiatives considering many contexts have been proposed, but users preferences need to be learned to offer contextualized and personalized services, products or information. Therefore, this paper proposes an agent-based architecture for context-aware and personalized event r...

Modeling Context-Aware Distributed Event-Based Systems

Emerging applications are becoming increasingly dynamic, adaptive and context-aware in areas such as just-in-time location-based m-commerce, situational health monitoring, and dynamic social networking collaboration. Although numerous systems and implementation infrastructures have been proposed to deal with some features of such systems, there is a lack of higher-level modeling abstractions an...

Similarity-Based Context-Aware Recommendation

Context-aware recommender systems (CARS) take context into consideration when modeling user preferences. There are two general ways to integrate context with recommendation: contextual filtering and contextual modeling. Currently, the most effective context-aware recommendation algorithms are based on a contextual modeling approach that estimate deviations in ratings across different contexts. ...

Industrial Cyber – Physical Systems