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ITU-T work programme

[2022-2024] : [SG17] : [Q4/17]

[Declared patent(s)]  - [Associated work]  - [Publication]

Work item: X.Suppl.37 (ex X.Sup-cs-ml)
Subject/title: ITU-T X.1231: Supplement on countering spam based on machine learning
Status: Agreed on 2022-09-02 [Issued from previous study period]
Approval process: Agreement
Type of work item: Supplement
Version: New
Equivalent number: -
Timing: -
Liaison: ITU-T SG13, ITU-T SG2, ITU-T FG-AI4EE
Supporting members: -
Summary: Supplement 37 to Recommendation ITU-T X.1231 defines a technical framework for countering spam based on machine learning (ML). 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 Supplement to Recommendation ITU-T X.1231 provides some general scenarios, characteristics of spam, and defines general technical framework, work flows about countering spam based on ML.
Comment: -
Reference(s):
  Historic references:
Contact(s):
Elizabeth Essel, Editor
Wei Liu, Editor
Weidong Wang, Editor
Lei Xu, Editor
Yanbin Zhang, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2019-09-12 16:21:13
Last update: 2022-09-28 17:32:10