![](/images/graphics-bg.png)
Personalization using web recommendations based on Elman artificial neural networks
Joint Authors
Ahmad, Manar Y.
Shahin, Aishah S.
Source
Issue
Vol. 16, Issue 1 العلوم الصرفة و الهندسية (30 Jun. 2013), pp.6-19, 14 p.
Publisher
Publication Date
2013-06-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Nowadays Web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the number of users.
As a result, how to provide Web users with more exactly needed information is becoming a critical issue in Web applications.
In this work, our aim is to address the improving of the performance of Web personalization through developing and employing Web recommendation based On Elman Artificial Neural Network.
The experimental results show the success of the recommendation in the prediction of the best link to the user based on the new profile.
This is developed based on the data in the user clicks for previous use in the past.
American Psychological Association (APA)
Ahmad, Manar Y.& Shahin, Aishah S.. 2013. Personalization using web recommendations based on Elman artificial neural networks. Journal of Dohuk University،Vol. 16, no. 1 العلوم الصرفة و الهندسية, pp.6-19.
https://search.emarefa.net/detail/BIM-1322739
Modern Language Association (MLA)
Ahmad, Manar Y.& Shahin, Aishah S.. Personalization using web recommendations based on Elman artificial neural networks. Journal of Dohuk University Vol. 16, no. 1 Pure and Engineering Sciences (Jun. 2013), pp.6-19.
https://search.emarefa.net/detail/BIM-1322739
American Medical Association (AMA)
Ahmad, Manar Y.& Shahin, Aishah S.. Personalization using web recommendations based on Elman artificial neural networks. Journal of Dohuk University. 2013. Vol. 16, no. 1 العلوم الصرفة و الهندسية, pp.6-19.
https://search.emarefa.net/detail/BIM-1322739
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 17-18
Record ID
BIM-1322739