Context-Aware Recommendation Using Pattern Discovery in Ubiquitous Computing

Abstract:

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Ubiquitous computing requires an intelligent environment and context-aware recommendations. This paper describes context-aware recommendations using pattern discovery in ubiquitous computing. The proposed method recommends information that may be useful without requiring any action on the part of the user by changing the user’s context. To recommend information, we discovered interesting patterns between past experiences and the current context. We explained the process, the algorithms and gave an example. Several experiments were performed and the results showed that our method has a good recommendation performance.

Info:

Periodical:

Key Engineering Materials (Volumes 277-279)

Edited by:

Kwang Hwa Chung, Yong Hyeon Shin, Sue-Nie Park, Hyun Sook Cho, Soon-Ae Yoo, Byung Joo Min, Hyo-Suk Lim and Kyung Hwa Yoo

Pages:

278-286

DOI:

10.4028/www.scientific.net/KEM.277-279.278

Citation:

J. H. Kwon and S. R. Kim, "Context-Aware Recommendation Using Pattern Discovery in Ubiquitous Computing", Key Engineering Materials, Vols. 277-279, pp. 278-286, 2005

Online since:

January 2005

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Price:

$35.00

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