| dc.creator |
Kose, Utku |
|
| dc.date |
2012-12-31T22:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:32:56Z |
|
| dc.date.available |
2020-10-06T10:32:56Z |
|
| dc.identifier |
7854f834-b0cb-462f-bbe0-f669e03ff1fe |
|
| dc.identifier |
10.4018/978-1-4666-2542-6.ch011 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/7854f834-b0cb-462f-bbe0-f669e03ff1fe/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/63915 |
|
| dc.description |
Because of their mathematical backgrounds and coherent structures, Artificial Intelligent-based methods and techniques are often used to find solutions for different types of problems encountered. In the related context, nature-inspired algorithms are also important for providing more accurate solutions. Because of their nature-based, flexible process structures, the related algorithms can be applied to different types of problems. At this point, recommendation systems are one of the related problem areas where nature-inspired algorithms can be used to get better results. In the literature there are many research studies that are based on using nature-inspired algorithms within recommendation systems. This chapter aims to discuss usage of some newly developed nature-inspired algorithms in typical recommendation systems. In this aim, features and functions of some new nature-inspired algorithms will be explained first. Later, using the related algorithms in recommendation systems will be discussed. Following that, there will be a discussion on future of nature-inspired algorithms and also their roles in the recommendation approach or system-based applications. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Newly Developed Nature-Inspired Algorithms and their Applications to Recommendation Systems |
|
| dc.type |
info:eu-repo/semantics/article |
|