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Nootropia: A User Profiling Model Based on a Self-Organising Term Network

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Artificial Immune Systems (ICARIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3239))

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Abstract

Artificial Immune Systems are well suited to the problem of using a profile representation of an individual’s or a group’s interests to evaluate documents. Nootropia is a user profiling model that exhibits similarities to models of the immune system that have been developed in the context of autopoietic theory. It uses a self-organising term network that can represent a user’s multiple interests and can adapt to both short-term variations and substantial changes in them. This allows Nootropia to drift, constantly following changes in the user’s multiple interests, and, thus, to become structurally coupled to the user.

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Nanas, N., Uren, V.S., de Roeck, A. (2004). Nootropia: A User Profiling Model Based on a Self-Organising Term Network. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds) Artificial Immune Systems. ICARIS 2004. Lecture Notes in Computer Science, vol 3239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30220-9_12

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  • DOI: https://doi.org/10.1007/978-3-540-30220-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23097-7

  • Online ISBN: 978-3-540-30220-9

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