Cart (Loading....) | Create Account
Close category search window

An Heuristic Approach to Page Recommendation in Web Usage Mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Maratea, A. ; Dept. of Appl. Sci., Univ. of Naples Parthenope, Naples, Italy ; Petrosino, A.

Personalized Web page recommendation is strongly limited by the nature of web logs, the intrinsic complexity of the problem and the tight efficiency requirements. When tackled by traditional Web usage mining techniques, due to the presence of an huge number of meaningful clusters and profiles for visitors of a typical highly rated Website, the model-based or distance-based methods tend to make too strong and simplistic assumptions or, conversely, to become excessively complex and slow. In this paper, a heuristic ¿majority intelligence¿ strategy is designed, that easily adapts to changing navigational patterns, without the costly need to explicitly individuate them before navigation. The proposed approach mimics human behavior in an unknown environment in presence of many individuals acting in parallel and is able to predict with good accuracy and in real time the next page category visited by a user. The method has been tested on real data coming from users who visited a popular Website of generic content. Average accuracy on test sets is good on a 17 class problem and, most remarkably, it remains stable as the Web navigation goes on.

Published in:

Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on

Date of Conference:

Nov. 30 2009-Dec. 2 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.