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

Autor:	Saucha Diwandari, Adhistya Erna Permanasari, Indriana Hidayah
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	classification clickstream data mining e-commerce user interest web usage mining Telecommunication TK5101-6720 Information technology T58.5-58.64
Zdroj:	Journal of ICT Research and Applications, Vol 12, Iss 1 (2018)
Druh dokumentu:	article
ISSN:	2337-5787 2338-5499
DOI:	10.5614/itbj.ict.res.appl.2018.12.1.4
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/35884a83b51641bcb41d01c31ddc40d7 Zobrazit plný text záznamu View record in DOAJ