LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lifestreams: an alternative to the desktop metaphor
Conference Companion on Human Factors in Computing Systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The project fragmentation problem in personal information management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualizing email content: portraying relationships from conversational histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FacetMap: A Scalable Search and Browse Visualization
IEEE Transactions on Visualization and Computer Graphics
Survey of clustering algorithms
IEEE Transactions on Neural Networks
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It is not uncommon for computer users to work on several things at once. However, to the computer, all documents, emails and applications are considered equal, regardless of why they were created or used. Little support is provided when trying to recall important information about a particular project or subject at a later time. What is more, there is no effective way to help users review their past activities to identify when a particular subject was of importance, what were their concerns at a given moment in the past, or simply review their activities during a period of time at a glance. In this paper we describe PersonalNews, a system in which users are presented with a personal newspaper, in which the news articles describe the subjects they were concerned with in a given period of time. Those articles are automatically generated from the users' documents, grouped according to their subject and analyzed for relevant passages describing them. We show that PersonalNews is able to recognize the subjects and projects the users were involved in, and even help them recall some they had forgotten about. Also, it can be used effectively to help retrieve documents on particular subjects.