A Recommender System based on the Immune Network
Abstract-The immune system is a complex biological system with a highly distributed, adaptive and self-organising 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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2002
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| Online Access: | https://eprints.nottingham.ac.uk/257/ |
| _version_ | 1848790381061210112 |
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| author | Cayzer, S Aickelin, Uwe |
| author_facet | Cayzer, S Aickelin, Uwe |
| author_sort | Cayzer, S |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Abstract-The immune system is a complex biological system with a highly distributed, adaptive and self-organising 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 achieve this: Antigen - antibody interaction for matching and antibody - antibody interaction for diversity. Computational results are presented in support of this conjecture and compared to those found by other CF techniques. |
| first_indexed | 2025-11-14T18:11:42Z |
| format | Conference or Workshop Item |
| id | nottingham-257 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:11:42Z |
| publishDate | 2002 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-2572021-05-31T14:47:42Z https://eprints.nottingham.ac.uk/257/ A Recommender System based on the Immune Network Cayzer, S Aickelin, Uwe Abstract-The immune system is a complex biological system with a highly distributed, adaptive and self-organising 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 achieve this: Antigen - antibody interaction for matching and antibody - antibody interaction for diversity. Computational results are presented in support of this conjecture and compared to those found by other CF techniques. 2002 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/257/1/02cec_movie.pdf Cayzer, S and Aickelin, Uwe (2002) A Recommender System based on the Immune Network. In: CEC 2002, 2002, Honolulu, USA. |
| spellingShingle | Cayzer, S Aickelin, Uwe A Recommender System based on the Immune Network |
| title | A Recommender System based on the Immune Network |
| title_full | A Recommender System based on the Immune Network |
| title_fullStr | A Recommender System based on the Immune Network |
| title_full_unstemmed | A Recommender System based on the Immune Network |
| title_short | A Recommender System based on the Immune Network |
| title_sort | recommender system based on the immune network |
| url | https://eprints.nottingham.ac.uk/257/ |