From Increasing Personal Data to Growable Cyber-I’s Modeling

作者: Song Zhang

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摘要: Cyber-Individual (Cyber-I), is a counterpart of Real-Individual (Real-I) in cyberspace, which aims to create unique, digital and comprehensive description for every real individual support various personalized services applications. A Cyber-I able gradually approximate its Real-I, the approximation accuracy can be continuously improved by collecting, processing utilizing personal data related corresponding Real-I. One basic characteristics continuous increase types amount due wide uses smartphones, sensors, other devices as well software tools. Such increasing offers possibility make growable modeling each user. This research mainly focused on initialization growth modeling. An initial model beginning about an individual, made based generated Cyber-I’s birth stage. growing one that grow up become bigger, higher or closer successively Real-I’s states, behaviors characteristics. paper discusses details how models are built work. system prototype illustrated, case study concretely show also given. Keywords—Cyber-I; data; user modeling; preference; profile; model;

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