IPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of Transactions
Yahya AlMurtadha, Md. Nasir Bin Sulaiman, Norwati Mustapha and Nur Izura Udzir
DOI : 10.3844/ajassp.2011.277.283
American Journal of Applied Sciences
Volume 8, Issue 3
Problem statement: Recently, Web usage mining techniques have been widely used to build recommendation systems especially for anonymous users. Approach: Assigning the current user to the best web navigation profile with similar navigation activities will improve the ability of the prediction engine to produce a recommendation list then introduce it to the user. This study presents iPACT an improved recommendation system using Profile Aggregation based on Clustering of Transactions (PACT). Results: iPACT shows better prediction accuracy than the previous methods PACT and Hypergraph. Conclusion: The users’ interests change over time; hence an incremental and adaptive web navigation profiling is a key feature for the future works.
© 2011 Yahya AlMurtadha, Md. Nasir Bin Sulaiman, Norwati Mustapha and Nur Izura Udzir. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.