One-path Relaxed Realtime Constraint Mobile User Classification Method in Mobile Clickstreams
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概要
- 論文の詳細を見る
The mobile Internet has become increasingly visible in everyday life. As mobile Internet penetration leverages content business opportunities it is crucial to identify methodologies to fit mobile-specific demands. Regularity is one of the important measures to capture <i>easy-come</i> <i>easy-go</i> mobile users. It is known that users with multiple visits per day with a long interval in between have a higher likelihood of revisiting in the following month than other users. The author proposes a 3+1 bit method to incorporate this empirical law in order to cope with the two major mobile restrictions: distributed server environments and large data streams. The proposed method can be performed in a one-path manner with 32-bit word boundary-awareness for memory compaction. Experimental results show that the method is promising for identifying revisiting users under mobile-specific constraints.
- 一般社団法人情報処理学会の論文
- 2009-01-15
著者
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Toshihiko Yamakami
Access
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Yamakami Toshihiko
Access:graduate School Of Engineering Kagawa University
関連論文
- Exploratory Session Analysis in the Mobile Clickstream (特集:社会システムと向き合うネットワークサービス)
- A Stream-mining Oriented User Identification Algorithm Based on a Day Scale Click Regularity Assumption in Mobile Clickstreams
- One-path Relaxed Realtime Constraint Mobile User Classification Method in Mobile Clickstreams