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Towards a better understanding of context and context-awareness
- In HUC ’99: Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
, 1999
"... Abstract. The use of context is important in interactive applications. It is particularly important for applications where the user’s context is changing rapidly, such as in both handheld and ubiquitous computing. In order to better understand how we can use context and facilitate the building of co ..."
Abstract
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Cited by 453 (7 self)
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Abstract. The use of context is important in interactive applications. It is particularly important for applications where the user’s context is changing rapidly, such as in both handheld and ubiquitous computing. In order to better understand how we can use context and facilitate the building of context-aware applications, we need to more fully understand what constitutes a contextaware application and what context is. Towards this goal, we have surveyed existing work in context-aware computing. In this paper, we provide an overview of the results of this survey and, in particular, definitions and categories of context and context-aware. We conclude with recommendations for how this better understanding of context inform a framework for the development of context-aware applications. 1
Context Awareness by Case-Based Reasoning in a Music Recommendation System
"... Abstract. The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capability of context-awareness. In this research, we developed a music recommendation system, which we shall call ..."
Abstract
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Cited by 3 (0 self)
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Abstract. The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capability of context-awareness. In this research, we developed a music recommendation system, which we shall call C 2 _Music, which utilizes not only the user’s demographics and behavioral patterns but also the user’s context. For a specific user in a specific context, the C 2 _Music recommends the music that the similar users listened most in the similar context. In evaluating the performance of C 2 _Music using a real world data, it outperforms the comparative system that utilizes the user’s demographics and behavioral patterns only.

