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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| Format: | Book Section |
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IEEE
2004
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| _version_ | 1825910041128992768 |
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| 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 |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:11:10Z |
| format | Book Section |
| id | utm.eprints-7447 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:11:10Z |
| publishDate | 2004 |
| publisher | IEEE |
| record_format | dspace |
| spelling | utm.eprints-74472017-07-25T06:29:48Z http://eprints.utm.my/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 |
| 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 |
| title | 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_short | Using normalize time spent on a Web page for Web personalization |
| title_sort | using normalize time spent on a web page for web personalization |
| topic | QA75 Electronic computers. Computer science |
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