Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
An experimental framework for email categorization and management
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Incremental Learning in SwiftFile
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Supporting activity-centric collaboration through peer-to-peer shared objects
GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
ReMail: a reinvented email prototype
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Automated email activity management: an unsupervised learning approach
Proceedings of the 10th international conference on Intelligent user interfaces
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
Topic and role discovery in social networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Active EM to reduce noise in activity recognition
Proceedings of the 12th international conference on Intelligent user interfaces
Predicting individual priorities of shared activities using support vector machines
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
Sampling stable properties of massive track datasets
Proceedings of the 2007 workshop on Massive datasets
Automatically finding and recommending resources to support knowledge workers' activities
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
A Practical Activity Capture Framework for Personal, Lifetime User Modeling
UM '07 Proceedings of the 11th international conference on User Modeling
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
An Operable Email Based Intelligent Personal Assistant
World Wide Web
Personalization as a service: the architecture and a case study
Proceedings of the first international workshop on Cloud data 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
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A long-standing goal of AI is the development of intelligent workstation-based personal agents to assist users in their daily lives. A key impediment to this goal is the unrealistic cost of developing and maintaining a detailed knowledge base describing the user's different activities, and which people, meetings, emails, etc. are affiliated with each such activity. This paper presents a clustering approach to automatically acquiring such a knowledge base by analyzing the raw contents of the workstation, including emails, contact person names, and online calendar meetings. Our approach analyzes the distribution of email words, the social network of email senders and recipients, and the results of Google Desktop Search queried with text from online calendar entries and person contact names. For each cluster it constructs, the program outputs a frame-based representation of the conesponding user activity. This paper describes our approach and experimentally assesses its perfonnance over the workstations of three different users.