Path: Top -> Journal -> Jurnal ITB -> 2018 -> Vol 12, No 1
Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining
By : Saucha Diwandari, Adhistya Erna Permanasari, Indriana Hidayah, STIKOM Dinamika Bangsa Jambi
Created : 2018-08-07, with 1 files
Keyword : classification; clickstream; data mining; e-commerce; user interest; web usage mining; web access log.
Url : http://journals.itb.ac.id/index.php/jictra/article/view/1921
Document Source : WEB
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.
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| Organization | STIKOM Dinamika Bangsa Jambi |
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| Country | Indonesia |
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