Research Methodology for Analysis of E-Commerce User Activity Based on User Interest using Web Usage Mining

Journal of ICT Research and Applications

Adhistya Erna Permanasari¹  Saucha Diwandari² 

[1] Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Bulaksumur, Yogyakarta 55281,;Informatics Study Program, Faculty of Information Technology and Electrical, Universitas Teknologi Yogyakarta, Jl. Siliwangi, Yogyakarta 55285

关键词: classification;    clickstream;    data mining;    e-commerce;    user interest;    web usage mining;    web access log.;   

DOI  :  10.5614/itbj.ict.res.appl.2018.12.1.4

学科分类：电子、光学、磁材料

来源: Institute for Research and Community Services ITB

【 摘 要 】

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.

【 授权许可】

CC BY