A Web Based Recommendation Using Association Rule and Clustering

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Provided by: IJAIR
Topic: Data Management
Format: PDF
In the era of intense competition amongst organizations, it's a real world challenging task to complement the need of user and maintain their interest in their web site. That is why the problem of predicting a user's behavior on a web-site has gained importance. A web based recommendation system include browsing history database enclosed with information related to the web pages that a user browsed. This paper presents the prediction of user navigation patterns of WUM using Association Rule and Clustering from web log data.
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