Using normalize time spent on a Web page for Web personalization

The continuous growth of the information on the Internet makes it necessary for users to be provided with a convenient and yet accurate tools to capture the information needed Web usage mining has gained more popularity among researchers in discovering the users browsing behavior. In this paper, we...

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Main Authors: Ahmad, Abdul Manan, Ahmad Hijazi, Mohd.Hanafi, Abdullah, Abdul Hanan
Format: Book Section
Published: IEEE 2004
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Online Access:http://eprints.utm.my/id/eprint/7447/
http://ieeexplore.ieee.org/document/1414583/
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spelling my.utm.74472017-07-25T06:29:48Z http://eprints.utm.my/id/eprint/7447/ Using normalize time spent on a Web page for Web personalization Ahmad, Abdul Manan Ahmad Hijazi, Mohd.Hanafi Abdullah, Abdul Hanan QA75 Electronic computers. Computer science The continuous growth of the information on the Internet makes it necessary for users to be provided with a convenient and yet accurate tools to capture the information needed Web usage mining has gained more popularity among researchers in discovering the users browsing behavior. In this paper, we developed a usage model for predictions based on association rule and similarity measures. We used the normalized time spent on each page for weighting the pages, instead of binary. Two evaluation metrics will be applied to evaluate the accuracy of the recommendations, namely precision and coverage. The result shows that the time spent on a Web page is essential in determining the importance of that page before it is recommended to the user. IEEE 2004-11-21 Book Section PeerReviewed Ahmad, Abdul Manan and Ahmad Hijazi, Mohd.Hanafi and Abdullah, Abdul Hanan (2004) Using normalize time spent on a Web page for Web personalization. In: Proceedings - Analog And Digital Techniques In Electrical Engineering. IEEE, USA, pp. 270-273. ISBN 0-7803-8560-8 http://ieeexplore.ieee.org/document/1414583/ 10.1109/TENCON.2004.1414583
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, Abdul Manan
Ahmad Hijazi, Mohd.Hanafi
Abdullah, Abdul Hanan
Using normalize time spent on a Web page for Web personalization
description The continuous growth of the information on the Internet makes it necessary for users to be provided with a convenient and yet accurate tools to capture the information needed Web usage mining has gained more popularity among researchers in discovering the users browsing behavior. In this paper, we developed a usage model for predictions based on association rule and similarity measures. We used the normalized time spent on each page for weighting the pages, instead of binary. Two evaluation metrics will be applied to evaluate the accuracy of the recommendations, namely precision and coverage. The result shows that the time spent on a Web page is essential in determining the importance of that page before it is recommended to the user.
format Book Section
author Ahmad, Abdul Manan
Ahmad Hijazi, Mohd.Hanafi
Abdullah, Abdul Hanan
author_facet Ahmad, Abdul Manan
Ahmad Hijazi, Mohd.Hanafi
Abdullah, Abdul Hanan
author_sort Ahmad, Abdul Manan
title Using normalize time spent on a Web page for Web personalization
title_short Using normalize time spent on a Web page for Web personalization
title_full Using normalize time spent on a Web page for Web personalization
title_fullStr Using normalize time spent on a Web page for Web personalization
title_full_unstemmed Using normalize time spent on a Web page for Web personalization
title_sort using normalize time spent on a web page for web personalization
publisher IEEE
publishDate 2004
url http://eprints.utm.my/id/eprint/7447/
http://ieeexplore.ieee.org/document/1414583/
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score 13.209306