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Efficient Mining of Interest Patterns on Click Stream Data
2019
International Journal of Engineering and Advanced Technology
Nowadays, large amount of data is generated daily in e-commerce applications as click stream data. Because of the availability of this tremendous amount of data analyzing the user browsing behaviour and finding frequent navigation patterns of different web pages accessed by web users is an key element for retailers to optimize the website and personalized the web services of different e-commerce websites. User browsing behaviour is evaluated based on user interests on web pages or products.
doi:10.35940/ijeat.b2846.129219
fatcat:2ypddflt35dalfj5p57fc5v3pa