Journal article

A Recommender System based on Idiotypic Artificial Immune Networks

Steve Cayzer, Uwe Aickelin

Journal of Mathematical Modelling and Algorithms | Springer Verlag | Published : 2005


The immune system is a complex biological system with a highly distributed, adaptive and selforganising nature. This paper presents an Artificial Immune System (AIS) that exploits some of these characteristics and is applied to the task of film recommendation by Collaborative Filtering (CF). Natural evolution and in particular the immune system have not been designed for classical optimisation. However, for this problem, we are not interested in finding a single optimum. Rather we intend to identify a sub-set of good matches on which recommendations can be based. It is our hypothesis that an AIS built on two central aspects of the biological immune system will be an ideal candidate to achiev..

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University of Melbourne Researchers

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