Personalization using web recommendations based on Elman artificial neural networks

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.