Title
From User Models to the Cyber-I Model: Approaches, Progresses and Issues
Abstract
A user model is a collection and categorization of personal data associated with a specific user. With the development of personal computers, the usage of the user model has been evolving in the past 40 years. In the early age of the computer, as a part of computer application, one user model could only be used for a single domain, such as the Human-Computer Interaction (HCI) and the education support. With the increase of many different applications, a user model was separated from its specific computer application to support the cross-domain usage for multiple applications. The emergence of the Internet made the user model to be the users' specific representation on a single social platform for the identification by other users. In the foreseeable future, the user model will become a common representation for its user via multiple social platforms. Theoretically, a unique, digital, comprehensive description of every human individual, namely Cyber Individual (Cyber-I) may exist on the Internet. In this paper, we first focus on approaches to build up the Cyber-I model in comparison to the user model, in terms of model representations, architectures of modeling system and modeling techniques. We then summarize our previous works related to Cyber-I modeling, e.g., the personal data collection, the Cyber-I modeling architecture, and the modeling process. Finally, we present major issues that should be solved for the future development of Cyber-I model and modeling.
Year
DOI
Venue
2018
10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00021
2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
Keywords
Field
DocType
user model,user modeling,Cyber-I,Cyber-I model,Cyber-I Modeling
Categorization,Data modeling,Data collection,Architecture,Computer science,Human–computer interaction,User modeling,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-5386-7519-9
1
0.35
References 
Authors
18
3
Name
Order
Citations
PageRank
Ao Guo173.52
Jianhua Ma21401148.82
Kevin I-Kai Wang316729.65