Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Taking email to task: the design and evaluation of a task management centered email tool
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Incremental Learning in SwiftFile
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Email classification with co-training
CASCON '01 Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative research
One-hundred days in an activity-centric collaboration environment based on shared objects
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eMailSift: mining-based approaches to email classification
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Automated email activity management: an unsupervised learning approach
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TaskTracer: a desktop environment to support multi-tasking knowledge workers
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Unified activity management: supporting people in e-business
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BuzzTrack: topic detection and tracking in email
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Uncovering the to-dos hidden in your in-box
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Activity-centric email: a machine learning approach
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Extracting knowledge about users' activities from raw workstation contents
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Sentence-level event classification in unstructured texts
Information Retrieval
Finding topics in email using formal concept analysis and fuzzy membership functions
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Coping with information overload in email communication: Evaluation of a training intervention
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Studying the factors influencing automatic user task detection on the computer desktop
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Computers in Human Behavior
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Discovery and analysis of e-mail-driven business processes
Information Systems
Using email-based network analysis to determine awareness foci
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
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Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
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AUIC '13 Proceedings of the Fourteenth Australasian User Interface Conference - Volume 139
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Email-based activity management systems promise to give users better tools for managing increasing volumes of email, by organizing email according to a user's activities. Current activity management systems do not automatically classify incoming messages by the activity to which they belong, instead relying on simple heuristics (such as message threads), or asking the user to manually classify incoming messages as belonging to an activity. This paper presents several algorithms for automatically recognizing emails as part of an ongoing activity. Our baseline methods are the use of message reply-to threads to determine activity membership and a naïve Bayes classifier. Our SimSubset and SimOverlap algorithms compare the people involved in an activity against the recipients of each incoming message. Our SimContent algorithm uses IRR (a variant of latent semantic indexing) to classify emails into activities using similarity based on message contents. An empirical evaluation shows that each of these methods provide a significant improvement to the baseline methods. In addition, we show that a combined approach that votes the predictions of the individual methods performs better than each individual method alone.