Visitor interaction with e-commerce websites generates large amounts
of clickstream data stored in web access logs. From a business standpoint,
clickstream data can be used as a means of finding information on user interest.
In this paper, the authors propose a method to find user interest in products
offered on e-commerce websites based on web usage mining of clickstream data.
In this study, user interest was investigated using the PIE approach coupled with
clustering and classification techniques. The experimental results showed that the
method is able to assist in analyzing visitor behavior and user interest in e-commerce products by identifying those products that prompt visitor interest.
Rumpun Ilmu
Teknologi Informasi
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
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1
Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining.pdf
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