Probabilistic independence networks for hidden Markov probability models
Neural Computation
MailCat: an intelligent assistant for organizing e-mail
Proceedings of the third annual conference on Autonomous Agents
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Challenges of the Email Domain for Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Using task context to improve programmer productivity
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Toward harnessing user feedback for machine learning
Proceedings of the 12th international conference on Intelligent user interfaces
Active EM to reduce noise in activity recognition
Proceedings of the 12th international conference on Intelligent user interfaces
Uncovering the to-dos hidden in your in-box
IBM Systems Journal
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning information intent via observation
Proceedings of the 16th international conference on World Wide Web
Comparing episodic and semantic interfaces for task boundary identification
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
The personal project planner: planning to organize personal information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Integrating rich user feedback into intelligent user interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Seeing is retrieving: building information context from what the user sees
Proceedings of the 13th international conference on Intelligent user interfaces
Automatically finding and recommending resources to support knowledge workers' activities
Proceedings of the 13th international conference on Intelligent user interfaces
Intelligent email: reply and attachment prediction
Proceedings of the 13th international conference on Intelligent user interfaces
Towards intelligent assistance for to-do lists
Proceedings of the 13th international conference on Intelligent user interfaces
Activity put in context: identifying implicit task context within the user's document interaction
Proceedings of the second international symposium on Information interaction in context
Detecting and correcting user activity switches: algorithms and interfaces
Proceedings of the 14th international conference on Intelligent user interfaces
Behavior-driven visualization recommendation
Proceedings of the 14th international conference on Intelligent user interfaces
Using salience to segment desktop activity into projects
Proceedings of the 14th international conference on Intelligent user interfaces
Proceedings of the 1st Workshop on Context, Information and Ontologies
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
ContextAggregator: A heuristic-based approach for automated feature construction and selection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Predicting task-specific webpages for revisiting
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Learning to Disambiguate Search Queries from Short Sessions
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Exposing parameters of a trained dynamic model for interactive music creation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
CommunityCommands: command recommendations for software applications
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Real-time detection of task switches of desktop users
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Personalization as a service: the architecture and a case study
Proceedings of the first international workshop on Cloud data management
Evaluation of an integrated multi-task machine learning system with humans in the loop
PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
Survey measures for evaluation of cognitive assistants
PerMIS '07 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems
Efficient online learning and prediction of users' desktop actions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Temporal task footprinting: identifying routine tasks by their temporal patterns
Proceedings of the 15th international conference on Intelligent user interfaces
From documents to tasks: deriving user tasks from document usage patterns
Proceedings of the 15th international conference on Intelligent user interfaces
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
XCS for personalizing desktop interfaces
IEEE Transactions on Evolutionary Computation
Studying the factors influencing automatic user task detection on the computer desktop
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Using email to facilitate wiki-based coordinated, collaborative authoring
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of social media collaboration using task-detection methods
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Task-Based user modelling for knowledge work support
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Keeping Found Things Found: The Study and Practice of Personal Information Management: The Study and Practice of Personal Information Management
Capturing Common Knowledge about Tasks: Intelligent Assistance for To-Do Lists
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Using file system content to organize e-mail
Proceedings of the 4th Information Interaction in Context Symposium
EmailValet: managing email overload through private, accountable crowdsourcing
Proceedings of the 2013 conference on Computer supported cooperative work
LiveAction: Automating Web Task Model Generation
ACM Transactions on Interactive Intelligent Systems (TiiS)
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The TaskTracer system seeks to help multi-tasking users manage the resources that they create and access while carrying out their work activities. It does this by associating with each user-defined activity the set of files, folders, email messages, contacts, and web pages that the user accesses when performing that activity. The initial TaskTracer system relies on the user to notify the system each time the user changes activities. However, this is burdensome, and users often forget to tell TaskTracer what activity they are working on. This paper introduces TaskPredictor, a machine learning system that attempts to predict the user's current activity. TaskPredictor has two components: one for general desktop activity and another specifically for email. TaskPredictor achieves high prediction precision by combining three techniques: (a) feature selection via mutual information, (b) classification based on a confidence threshold, and (c) a hybrid design in which a Naive Bayes classifier estimates the classification confidence but where the actual classification decision is made by a support vector machine. This paper provides experimental results on data collected from TaskTracer users.