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An intelligent message filter for E-mail system

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dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Chairperson) en_US
dc.contributor.advisor Dr. Qi Yulu (Member) en_US
dc.contributor.advisor Dr. Dentcho N. Batanov (Member) en_US
dc.contributor.author Suchai Tirakotai en_US
dc.date.accessioned 2015-01-12T10:42:26Z
dc.date.available 2015-01-12T10:42:26Z
dc.date.issued 2000 en_US
dc.identifier.other AIT RSPR no.IM0001 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/420
dc.description 75 p. en_US
dc.description.abstract This research develops an intelligent message filter for an e-mail system, which mainly applies to AIT e-mail server and AIT students as users. The intelligent message filter automatically sort mails into appropriate mailboxes according to user profiles (user models). The system requires both explicit and implicit user models. The explicit user model requires users to tell the system about themselves and their interests and uninterests. For the implicit user model, the system uses machine learning techniques to generate user profiles, i.e. by observing and analyzing user behaviour. The system also uses parsing methods to analyze the messages and weight calculations. In the development of the system, the first task was to analyze of problem domain “information overload”, then the questionnaires were distributed to all AIT students and 82 students replied. The results from questionnaire also gave data about users interests and non-interests for the system to start with, since the system aims for AIT students as users and the system has no knowledge about users at the beginning. Then the system was developed using Microsoft Visual Basic version 6.0. en_US
dc.description.sponsorship Telephone Organization of Thailand en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject E-mail system en_US
dc.subject Message filter en_US
dc.title An intelligent message filter for E-mail system en_US
dc.type Research Report en_US


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