A Recommender System based on Idiotypic Artificial Immune Networks
نویسندگان
چکیده
منابع مشابه
A Recommender System based on Idiotypic Artificial Immune Networks
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....
متن کاملDesigning a trust-based recommender system in Social Rating Networks
One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...
متن کاملAn Artificial Immune System as a Recommender for Web Sites
Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals’ web profiles (alternatively called preferences / favourites / bookmarks file) will be used. URLs will be classified using the DMOZ (Directory Mozilla) database of th...
متن کاملA Recommender System based on the Immune Network
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...
متن کاملAssociative Classification Based on Artificial Immune System
Associative classification algorithms which are based on association rules have performed well compared with other classification approaches. However a fundamental limitation with these classification algorithms is that the search space of candidate rules is very large and the processes of rule discovery and rule selection are conducted separately. This paper proposes an approach called ARMBIS,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Modelling and Algorithms
سال: 2005
ISSN: 1570-1166,1572-9214
DOI: 10.1007/s10852-004-5336-7