@article {10.3844/ajassp.2011.277.283, article_type = {journal}, title = {IPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of Transactions}, author = {AlMurtadha, Yahya and Sulaiman, Md. Nasir Bin and Mustapha, Norwati and Udzir, Nur Izura}, volume = {8}, year = {2011}, month = {Mar}, pages = {277-283}, doi = {10.3844/ajassp.2011.277.283}, url = {https://thescipub.com/abstract/ajassp.2011.277.283}, abstract = {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.}, journal = {American Journal of Applied Sciences}, publisher = {Science Publications} }