Universiti Teknologi Malaysia Institutional Repository

Web page recommendation model for web personalization

Ahmad, Abdul Manan and Ahmad Hijazi, Mohd. Hanafi (2004) Web page recommendation model for web personalization. In: Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science, 3214/2 . Springer Berlin / Heidelberg, pp. 587-593. ISBN 978-3-540-23206-3

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Official URL: http://dx.doi.org/10.1007/b100910


Web usage mining has gained more popularity among researchers in discovering the users browsing behavior mining the web server log that records all the users transactions activities. In this paper, we developed a usage model for predictions based on association rule. Similarity between items contained in the active user profile will be calculated upon the matched rules and finally the top-N most similar items are then recommended to the user. We used the time spent on each page for weighting the pages instead of binary. Two evaluation metrics were applied to evaluate the accuracy of the recommendations, namely precision and coverage.

Item Type:Book Section
Additional Information:8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part II
Uncontrolled Keywords:web usage, web server log
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:9802
Deposited By: Zalinda Shuratman
Deposited On:25 Mar 2010 03:58
Last Modified:02 Jun 2010 02:03

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