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Proc. of the IFIP WG 6.5 working conference on Computer-based message services
Structuring computer-mediated communication systems to avoid information overload
Communications of the ACM
The information lens: an intelligent system for information sharing in organizations
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Intelligent information-sharing systems
Communications of the ACM
A network environment for computer-supported cooperative work
SIGCOMM '87 Proceedings of the ACM workshop on Frontiers in computer communications technology
How do experienced information lens users use rules?
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information access in complex, poorly structured information spaces
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
SuperKOM: design considerations for a distributed, highly structured computer conferencing system
Computer Communications - Special issue: computer supported cooperative work
A rule-based message filtering system
ACM Transactions on Information Systems (TOIS)
ACM president's letter: electronic junk
Communications of the ACM
Recognizing text genres with simple metrics using discriminant analysis
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
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The increasing size of messaging communities increases the risk of information overload, especially when group communication tools like mailing lists or asynchronous conferencing systems (like Usenet News) are used. Future messaging systems will require more capable filters to aid users in the selection of what to read. The increasing use of networks by non-computer professionals requires filters that are easier to use and manage than most filtering software today. Filters might use evaluations of messages made by certain users as an aid to filtering these messages for other users.