iPACT: improved web page recommendation system using profile aggregation based on clustering of transactions
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Science Publications
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/22461/1/ajassp.2011.277.283.pdf http://psasir.upm.edu.my/id/eprint/22461/ http://www.thescipub.com/abstract/10.3844/ajassp.2011.277.283 |
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| Summary: | 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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