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Design of the Recommendation Module for Context Aware VOD Museum Guide Android App

초록

영어

Location based service such as automobile navigation system is one of the most valuable commercial products. As the buildings, factories, and shopping malls are getting bigger and bigger, demand for indoor location based service is also increasing rapidly. In addition to user's location, the context of the usage such as user's personal information including age, hobby, occupation, user's emotion and so on is also important factor that determines the most proper service. Smartphones are best suited platform for context aware service implementation because the owner of a smartphone always carries it and saves personal information in it. Besides, record of smartphone use history that is automatically saved in the smartphone is a good resource from which we can infer the context. Furthermore, smartphones are equipped with powerful processing unit and pretty accurate sensors. Making use of the features of smartphones, we have developed a context aware museum guide Android app. It is also a video-on-demand app because it selects best suited video based on the user's context and plays the video. To the best of our knowledge, our app is the first indoor-location-based, context-aware, and video-on-demand Android app. This paper describes the recommendation module of it in detail.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Functional Requirements
 4. Design
 5. Implementation and Experiments
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Jaegeol Yim Department of Computer Engineering, Dongguk University at Gyeongju, Gyeongbuk

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