By the same authors

Scenario-based modeling to capture requirements for immune inspired profile adaptation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Publication details

Title of host publication2013 8th International Conference on Information Technology in Asia - Smart Devices Trend: Technologising Future Lifestyle, Proceedings of CITA 2013
DatePublished - 1 Jan 2013
Pages1-6
Number of pages6
PublisherIEEE Computer Society Press
Original languageEnglish
ISBN (Print)9781479910922

Abstract

The human immune system has characteristics such as self-organisation, robustness and adaptivity that may be useful in the development of adaptive systems. One suitable application area for adaptive systems is Information Filtering (IF). Within the context of IF, learning and adapting user profiles is an important research area. In this paper, we proposed an architecture for adaptive IF incorporating ideas from Artificial Immune Systems (AIS). We then extract general features of potential immune inspired profile adaptation based on scenario-based modeling. The richness of scenario usage which we have encountered in this work indicates the importance of comprehensive process guidance.

    Research areas

  • Artificial Immune Systems (AIF), Information Filtering (IF), Profile Adaptation, Requirement Analysis, Scenario-based modeling

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