TY - JOUR
AU - Izura Udzir, Nur
AB - American Journal of Applied Sciences 8 (3): 277-283, 2011 ISSN 1546-9239 © 2010 Science Publications 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 Department of Computer Science, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia 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. Key words: Recommender systems, web usage mining, web navigation profiles, prediction engine, profile aggregation, Collaborative filtering (CF), Case-Based Reasoning Plan Recognition (CBRPR), hybrid filtering, Web Usage Mining (WUM), Longest common 
TI - IPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of Transactions
JF - American Journal of Applied Sciences
DO - 10.3844/ajassp.2011.277.283
DA - 2011-03-01
UR - https://www.deepdyve.com/lp/unpaywall/ipact-improved-web-page-recommendation-system-using-profile-cDVEfBFtwi
DP - DeepDyve
ER -