iPACT: improved web page recommendation system using profile aggregation based on clustering of transactions

Citation

Almurtadha, Yahya Mohammed and Sulaiman, Md. Nasir and Mustapha, Norwati and Udzir, Nur Izura (2011) iPACT: improved web page recommendation system using profile aggregation based on clustering of transactions. American Journal of Applied Sciences, 8 (3). pp. 277-283. ISSN 1546-9239; ESSN: 1554-3641

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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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.3844/ajassp.2011.277.283
Publisher:	Science Publications
Keywords:	Case-Based Reasoning Plan Recognition (CBRPR); Collaborative filtering (CF); Hybrid filtering; Longest common Sequences algorithm (LCS); Prediction engine; Profile aggregation; Recommender systems; Web navigation profiles; Web usage mining; Web usage mining (WUM)
Depositing User:	Nabilah Mustapa
Date Deposited:	08 Jun 2016 08:58
Last Modified:	08 Jun 2016 08:58
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3844/ajassp.2011.277.283
URI:	http://psasir.upm.edu.my/id/eprint/22461
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