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

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Author(s): Yahya AlMurtadha | Md. N.B. Sulaiman | Norwati Mustapha | Nur I. Udzir

Journal: American Journal of Applied Sciences
ISSN 1546-9239

Volume: 8;
Issue: 3;
Start page: 277;
Date: 2011;
Original page

Keywords: 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 Sequences algorithm (LCS)

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.

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