Work item:
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X.Sup-cs-ml (ex TR.cs-ML)
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Subject/title:
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Supplement to X.1231: Countering spam based on machine learning
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Status:
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[Carried to next study period]
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ITU-T SG13, ITU-T SG2, ITU-T FG-AI4EE
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Supporting members:
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-
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Summary:
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The purpose of this work item is to define a technical framework for countering spam based on machine learning. It may help some relevant persons and companies in spam management, reduce the benefit loss of users and providers, improve user experience and promote the healthy development of telecommunication business. This technical report provides some general scenarios, characteristics of spam, and define general technical framework, work flows, to help some companies and users to counter spam.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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ITU-T A.5 justification(s): |
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First registration in the WP:
2019-09-12 16:21:13
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Last update:
2021-09-09 12:34:09
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