Machine Learning
Understanding and Using Context
Personal and Ubiquitous Computing
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
Castaway: a context-aware task management system
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Enhancing just-in-time e-learning through machine learning on desktop context sensors
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
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Our research goal is to work towards a personal contextaware assistance and retrieval of relevant resources to computer users during a certain work task. This paper presents a general-purpose, algorithmic approach for automated context aggregation by heuristic-based feature construction. Our implementation of the context reasoning layer combines lower-level context features to new aggregated higher-level context features. Our approach allows --in contrast to most other approaches --an automated feature combination to achieve a high prediction accuracy of the user's work task.