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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Perelson, A., Oster, G.: Theoretical studies of clonal selection: Minimal antibody repertoire size and reliability of self-non-self discrimination. Journal of Theoretical Biology 81, 645–670 (1979)
Farmer, J.D., Packard, N.H., Perelson, A.S.: The immune system, adaptation, and machine learning. Physica 22D, 187–204 (1986)
Boer, R.J.D., Perelson, A.S.: Size and connectivity as emergent properties of a developing immune network. Journal of Theoretical Biology 149, 381–424 (1991)
Chao, D.L., Forrest, S.: Information immune systems. Genetic Programming and Evolvable Machines 4, 311–331 (2003)
Twycross, J., Cayzer, S.: An immune-based approach to document classification. Technical Report HPL-2002-292, HP Research Bristol (2002)
Greensmith, J., Cayzer, S.: An artificial immune system approach to semantic document classification. In: Timmis, J., Bentley, P.J., Hart, E. (eds.) ICARIS 2003. LNCS, vol. 2787, pp. 136–146. Springer, Heidelberg (2003)
Cayzer, S., Aickelin, U.: A recommender system based on the immune network. Technical Report HPL-2002-1, HP Laboratories Bristol (2002)
Morrison, T., Aickelin, U.: An artificial immune system as a recommender for web sites. In: 1st International Conference on Artificial Immune Systems (2002)
Capra, F.: The Web of Life. Harper Collins, New York (1996)
Kelso, J.A.S.: Dynamic Patterns: The Self-Organization of Brain and Behavior. MIT Press, Cambridge (1999)
Maturana, H.R., Varela, F.J.: Autopoiesis and Cognition. Dordrecht, Holland (1980)
Varela, F.J., Coutinho, A.: Second generation immune network. Immunology Today 12, 159–166 (1991)
Bersini, H., Varela, F.: The immune learning mechanisms: Reinforcement, recruitment and their applications. In: Computing with Biological Metaphors, pp. 166–192. Chapman and Hall, Boca Raton (1994)
Vaz, N.M., Varela, F.: Self and non-sense: An organism-centered approach to immunology. Medical Hypotheses 4, 231–267 (1978)
Stewart, J., Varela, F.J.: Morphogenesis in shape-space, elementary meta-dynamics in a model of the immune network. Journal of Theoretical Biology 153, 477–498 (1991)
Quick, T., Dautenhahn, K., Nehaniv, C.L., Roberts, G.: The essence of embodiment: A framework for understanding and exploiting structural coupling between system and environment. In: CASYS 1999 (1999)
Mingers, J.: Embodying information systems: the contribution of phenomenology. Information and Organization 11, 103–128 (2001)
Nanas, N., Uren, V., Roeck, A.D., Domingue, J.: Building and applying a concept hierarchy representation of a user profile. In: 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 198–204. ACM press, New York (2003)
Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw- Hill Inc., New York (1983)
Nanas, N., Uren, V., de Roeck, A., Domingue, J.: Multi-topic information filtering with a single user profile. In: 3rd Hellenic Conference on Artificial Intelligence, pp. 400–409 (2004)
Nanas, N., Uren, V., de Roeck, A., Domingue, J.: Nootropia: a self-organising agent for adaptive information filtering. Technical Report kmi-tr-138, Knowledge Media Institute (2004), http://www.kmi.open.ac.uk/people/nanas/kmi-tr-138.pdf
Farmer, J.D.: A Rosetta stone for connectionism. In: Forrest, S. (ed.) Emergent Computation, pp. 153–187. MIT Press, Cambridge (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Springer Book Archive