Context Based User Profile for Personalization in Ubiquitous Computing Environments 


Vol. 34,  No. 5, pp. 542-551, May  2009


PDF Full-Text
  Abstract

We proposed the context based user profile which is aware of its user’s situation and based on user's situation it recommends personalized services. The user profile which consists of {context, service} pair can be acquired by the context and the service usage of a user; it then can be used to recommend personalized services for the user. In this paper, we show how they can be evolved without previously known user information so that not to violate privacy during the learning phase; in the result our user profile can be applied to any new environment without any modification to model only except context profiles. Using context-awareness based user profile, the service usage pattern of a user can be learned by the union of contexts and the preferred services can be recommended by the current environments. Finally, we evaluate the precision of proposed approach using simulation with data sets of UCI depository and Weka tool-kit.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

A. Moon, H. Kim, J. Park, Y. Choi, "Context Based User Profile for Personalization in Ubiquitous Computing Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 5, pp. 542-551, 2009. DOI: .

[ACM Style]

Aekyung Moon, Hyunghwan Kim, Juyoung Park, and Young-il Choi. 2009. Context Based User Profile for Personalization in Ubiquitous Computing Environments. The Journal of Korean Institute of Communications and Information Sciences, 34, 5, (2009), 542-551. DOI: .

[KICS Style]

Aekyung Moon, Hyunghwan Kim, Juyoung Park, Young-il Choi, "Context Based User Profile for Personalization in Ubiquitous Computing Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 5, pp. 542-551, 5. 2009.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880