authors
- CABANAS ABASCAL, ANTONIO
- GARCIA MACHICADO, EDUARDO
- PRIETO GONZALEZ, LISARDO
- AMESCUA SECO, ANTONIO DE
An Item based Geo-Recommender System Inspired by Artificial Immune Algorithms
Articles
Overview
published in
publication date
- July 2013
start page
- 2013
end page
- 2033
issue
- 13
volume
- 19
Digital Object Identifier (DOI)
International Standard Serial Number (ISSN)
- 0948-695X
Electronic International Standard Serial Number (EISSN)
- 0948-6968
abstract
- Nowadays, one of the most relevant features provided by in almost every web site is a recommender system. However, they are usually focused on the common characteristics of several items which are shared among the users without taking into account that there are other very important features, such as geo-position. To face this lack of such relevant factors, authors propose the usage of a useful system that will aid in tasks related to pattern detection and fast adaptability to changes: Artificial Immune System. A combination of both systems and the addition of a geographic component will provide a new solution to this problem, which will solve as well these issues as other ones like comparison tasks in big data.