A Personalized Product Based Recommendation System Using Web Usage Mining and Semantic Web

Provided by: International Journal of Computer Theory and Engineering (IJCTE)
Topic: Big Data
Format: PDF
To be globally competent and competitive a successful presence on the web is necessary to sustain and retain itself in the market. The WWW is an interesting area for data mining because of abundance of information. Web users exhibit a variety of navigational interests through clicking a sequence of web pages. Analysis of this data will lead to discover many interesting patterns and facilitate users to locate more preferable web pages. Advanced mining processes are needed for this knowledge to be extracted, understood and used. Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web Site.

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