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Customary classification based on context-aware users of handheld devices

Author: YangHuiTao
Tutor: ZhangHongï¼›YangYuJing
School: Nanjing University of Technology and Engineering
Course: Software Engineering
Keywords: Context-aware Behavior patterns Intelligent mobile terminal User Interface
CLC: TN929.53
Type: Master's thesis
Year: 2010
Downloads: 124
Quote: 0
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Abstract


In recent years, as technology continues to develop smart mobile devices , smart mobile devices in the user interface has become increasingly complex, how to help users more easily manipulate the powerful features of the smart mobile devices has become a perilous problem to be solved . This design a smart mobile terminal based on context-aware the presumed user behavior and target method . Focuses on how to use the smart mobile terminal using the context of the environment to create a user model , and select and study the existing machine learning and prediction methods , the use of the mobile terminal can be obtained on the information to identify the user behavior patterns to predict the user's behavior goals . Finally, the proposed method has been implemented in a prototype phone and achieved good test data .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications > Cellular mobile communications systems (mobile phones, mobile phone handsets )
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