Title :
Exploratory Day-Scale Behavior Assumption-Based User Clustering with the Mobile Clickstream
Author :
Yamakami, Toshihiko
Author_Institution :
Res. & Dev., Tokyo
Abstract :
The mobile Internet enables 24-hour always-on computing with increased demands on time-based analysis. From an assumption that the mobile users are split into three different clusters, the author proposes a method to identify the three different user clusters. The author evaluates the user segments in a subscription-based commercial service using the revisiting ratio in the next month.
Keywords :
Internet; mobile computing; user interfaces; exploratory day-scale behavior assumption; mobile Internet; mobile clickstream; subscription-based commercial service; time-based analysis; user clustering; Concurrent computing; Distributed computing; Electric breakdown; HTML; Mobile computing; Performance evaluation; Research and development; Web and internet services;
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies, 2007. PDCAT '07. Eighth International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7695-3049-4
DOI :
10.1109/PDCAT.2007.81
