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Problem statement: Recently, Web usage mining techniques have been widely used to&#13; build recommendation systems especially for anonymous users. Approach: Assigning the current user&#13; to the best web navigation profile with similar navigation activities will improve the ability of the&#13; prediction engine to produce a recommendation list then introduce it to the user. This study presents&#13; iPACT an improved recommendation system using Profile Aggregation based on Clustering of&#13; Transactions (PACT). Results: iPACT shows better prediction accuracy than the previous methods&#13; PACT and Hypergraph. Conclusion: The users interests change over time; hence an incremental and&#13; adaptive web navigation profiling is a key feature for the future works

IPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of Transactions