Context Awareness by Case-Based Reasoning in a Music Recommendation System
Lecture notes in computer sciencePublished 2 November 2007
Jae Sik Lee, Jin Chun Lee
Citations105
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
In evaluating the performance of C2_Music using a real world data, it outperforms the comparative system that utilizes the user's demographics and behavioral patterns only.
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 C2_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 C2_Music recommends the music that the similar users listened most in the similar context. In evaluating the performance of C2_Music using a real world data, it outperforms the comparative system that utilizes the user's demogra-phics and behavioral patterns only.
Keywords
Computer Science
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