Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Work rhythms: analyzing visualizations of awareness histories of distributed groups
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
A finger on the pulse: temporal rhythms and information seeking in medical work
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
What a to-do: studies of task management towards the design of a personal task list manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
No task left behind?: examining the nature of fragmented work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Frequent pattern mining: current status and future directions
Data Mining and Knowledge Discovery
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
Understanding user behavior through summarization of window transition logs
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Complex activity recognition using context-driven activity theory and activity signatures
ACM Transactions on Computer-Human Interaction (TOCHI)
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This paper introduces a new representation for describing routine tasks, called temporal task footprints. Routines are characterized by their temporal regularity or rhythm. Temporal pattern analysis (T-patterns) can be used to isolate frequent recurrent patterns in routine tasks that appear repeatedly in the same temporal configuration. Using tf-idf statistics, each task can then be defined in terms of its temporal task footprint, a ranked list of temporal patterns along with their typical frequencies. Experimental evaluations using data of 29 days observing and logging 10 subjects showed that temporal task footprints of application windows, email and document usage outperform decision tree and SVMs in recognizing the subjects' tasks.