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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Assisting Web Site Navigation through Web Usage Patterns
verfasst von : Oznur Kirmemis Alkan, Pinar Karagoz
Erschienen in: Recent Trends in Applied Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Extracting patterns from Web usage data helps to facilitate better Web personalization and Web structure readjustment. There are a number of different approaches proposed for Web Usage Mining, such as Markov models and their variations, or models based on pattern recognition techniques such as sequence mining. This paper describes a new framework, which combines clustering of users’ sessions together with a novel algorithm, called PathSearch-BF, in order to construct smart access paths that will be presented to the Web users for assisting them during their navigation in the Web sites. Through experimental evaluation on well-known datasets, we show that the proposed methodology can achieve valuable results.