| Abstract |
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The mobile Internet proliferates and penetrates all aspects of daily life. It is crucial to codify methodologies to fit mobile-specific demands, e.g. regularity. Subscription-based mobile services require the analysis of regularity to capture and retain easy-come, easy-go users.The author proposes a method called the "time slot count in window'' method (TCW-method) to efficiently capture regular users, while relaxing the explicit splits among time slots with visits. The author shows the case study result from 2001-2002 commercial service logs. A case study conducted in 2001-2002 with commercial news service subscribers shows that the relaxation in the proposed method loses 2-3 % in the recall rate of regularity, but still obtained 88-91% recall rate. Considering the trade-off with the on-the-fly nature of coping with limited storage capacity, the author considers this method to be very promising for the mobile Internet.
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 Additional Information
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Index Terms- Mobile Internet, regularity, stream mining
Citation:
Toshihiko Yamakami,
"A Time Slot Count in Window Method Suitable for Long-Term Regularity-Based User Classification for Mobile Internet,"
mue,
pp. 25-29,
2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008),
2008
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