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A preliminary analysis of item‐selection behavior of Japanese female university students examining a 2D virtual fashion web site
Author(s) -
Nosu Kiyoshi,
Ikeda Makiko
Publication year - 2014
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22008
Subject(s) - selection (genetic algorithm) , web site , clothing , the internet , computer science , graphics , world wide web , pattern analysis , multimedia , computer graphics , human–computer interaction , artificial intelligence , computer graphics (images) , geography , archaeology
E‐commerce is spreading into various fields in our daily lives as a result of the growth of interactive Internet communication technologies. Two‐dimensional computer graphics (2D CG) image presentations, which are simple and inexpensive, can be displayed directly on apparel e‐commerce sites. This study uses sequential pattern mining to analyze the item‐selection behavior of Japanese female university students examining a 2D virtual fashion Web site. It is found that most users did not initially examine their favorite category items; instead, they examined the commonly viewed items first, and then examined various other fashion items before making their final selection. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.