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ReputationBox: A system to analyse importance of emails and reputation of email senders

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dc.contributor.author Jayakody, D
dc.contributor.author Dias, G
dc.date.accessioned 2017-01-17T10:06:07Z
dc.date.available 2017-01-17T10:06:07Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12251
dc.description.abstract E-mail is one of the primary mediums of electronic communication used today. The number of email accounts are expected to go over 4.3 billion accounts by the year 2016 according to the latest email statistic reports. Users receive a bulk of emails on a daily basis and consequently they tend to overlook their inboxes and miss important emails from important people. This email management issue imposes an adverse effect on the productivity of email communication. Although many email clients today are equipped with tools to filter emails based on keywords, email addresses; most of these filters are static and are not updated automatically. The productivity of email communication will drastically improve if emails can be automatically evaluated for their goodness, so that users can promptly identify important and interesting emails before reading them and proceed with suitable actions on a timely manner. en_US
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7083913 en_US
dc.source.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7083913 en_US
dc.subject email analysis en_US
dc.subject machine learning
dc.subject email reputation reputation
dc.title ReputationBox: A system to analyse importance of emails and reputation of email senders en_US
dc.type Conference-Abstract en_US
dc.identifier.year 2014 en_US
dc.identifier.conference Advances in ICT for Emerging Regions (ICTer), 2014 International Conference on en_US
dc.identifier.pgnos 255 en_US
dc.identifier.proceeding IEEE en_US
dc.identifier.email gihan@uom.lk en_US


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