Context-Aware Recommendation Using Pattern Discovery in Ubiquitous Computing

Abstract

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.