Minimizing Information Overload: The Ranking of Electronic Messages
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Scan day: 04 February 2014 UTC
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Description: The decision to examine a message at a particular point in time should be made rationally and economically if the message recipient is to operate efficiently. Our model provides a formal method for minimizing expected information overload through information filtering.
Information overload, internet filtering agents, e-mail filtering, information filtering, user modeling, routing, ranking email Minimizing Information Overload: the Ranking of Electronic Messages, Journal of Information Science,
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| Page title: | Information overload, internet filtering agents, e-mail filtering, information filtering, user modeling, routing, ranking email |
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| IP-address: | 152.2.217.100 |
WHOIS Info
| NS | Name Servers: NS.UNC.EDU 152.2.21.1, 2610:28:3090:1004::10 NS2.UNC.EDU 152.2.253.100, 2610:28:3090:2005::10 |
| WHOIS | |
| Date | activated: 17-Jun-1986 last updated: 07-Mar-2013 expires: 31-Jul-2014 |