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2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008)
A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users
April 24-April 26
ISBN: 978-0-7695-3134-2
ASCII Text
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Toshihiko Yamakami, "A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users," Multimedia and Ubiquitous Engineering, International Conference on, pp. 570-575, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008), 2008.
 
 
BibTex
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@article{ 10.1109/MUE.2008.110,
author = {Toshihiko Yamakami},
title = {A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users},
journal ={Multimedia and Ubiquitous Engineering, International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3134-2},
pages = {570-575},
doi = {http://doi.ieeecomputersociety.org/10.1109/MUE.2008.110},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Ubiquitous Engineering, International Conference on
TI - A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users
SN - 978-0-7695-3134-2
SP570
EP575
A1 - Toshihiko Yamakami,
PY - 2008
KW - Mobile internet
KW - classification
KW - clickstream
VL - 0
JA - Multimedia and Ubiquitous Engineering, International Conference on
ER -
 
The user behavior analysis of the mobile Internet is still to be explored. This increases importance in research and business as the mobile Internet penetration becomes visible. The author performs a preparatory survey to identify the user behavior scenarios during a day. It indicates that there are three distinguished mobile Internet behavior patterns: (a) always active, (b) irregular, (c) prime time use. This gives a novel perspective to understand user interactions in the mobile Internet. Intelligent mobile services require addressing these differences in order to improve user experience. The author proposes a user-perceived freshness method to cluster users with the content access logs in order to utilize this three-subgroup-based view. The revisit ratio in the following month is used to characterize the user clusters and the middle users show a high revisit ratio. The author discusses the characteristics of this middle user segment.
Index Terms:
Mobile internet, classification, clickstream
Citation:
Toshihiko Yamakami, "A User-Perceived Freshness Clustering Method to Identify Three Subgroups in Mobile Internet Users," mue, pp.570-575, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008), 2008
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