Research Article Open Access

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

Yahya AlMurtadha1, Md. Nasir Bin Sulaiman2, Norwati Mustapha1 and Nur Izura Udzir2
  • 1 ,
  • 2 , Afganistan
American Journal of Applied Sciences
Volume 8 No. 3, 2011, 277-283

DOI: https://doi.org/10.3844/ajassp.2011.277.283

Submitted On: 2 November 2010 Published On: 25 March 2011

How to Cite: AlMurtadha, Y., Sulaiman, M. N. B., Mustapha, N. & Udzir, N. I. (2011). IPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of Transactions. American Journal of Applied Sciences, 8(3), 277-283. https://doi.org/10.3844/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.

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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)