Web page recommendation model for web personalization

Abdul Manan Ahmad and Mohd Hanafi Ahmad Hijazi (2004) Web page recommendation model for web personalization. In: 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems Location: Wellington Inst Technology , September 2004, Wellington, New Zealand.

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Web usage mining hits gained more popularity among researchers ill 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: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Computer Science, Theory & Methods
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 20 Oct 2011 08:57
Last Modified: 24 Oct 2017 15:39
URI: https://eprints.ums.edu.my/id/eprint/913

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