The active badge location system
ACM Transactions on Information Systems (TOIS)
Case-based reasoning
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Understanding and Using Context
Personal and Ubiquitous Computing
Computer
A Personalized Music Filtering System Based on Melody Style Classification
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Context enabled Multi-CBR based Recommendation Engine for E-commerce
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
A music recommendation system based on music and user grouping
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
PICO: A Middleware Framework for Pervasive Computing
IEEE Pervasive Computing
Human-Computer Interaction
Distributed context-aware systems
Human-Computer Interaction
A hybrid expert system for equipment failure analysis
Expert Systems with Applications: An International Journal
Ubi-UCAM: a unified context-aware application model
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Real-world mood-based music recommendation
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Adaptive music retrieval---a state of the art
Multimedia Tools and Applications
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The context-awareness has become one of the core technologies and the indispensable function for application services in ubiquitous computing environment. The task of using context data for inferring a user's situation is referred to as context reasoning. In this research, we incorporated the capability of context reasoning in a music recommendation system. Our proposed system contains such modules as Intention Module, Mood Module and Recommendation Module. The Intention Module performs context reasoning that infers whether a user wants to listen to music or not by using the environmental context data. The Mood Module determines the genre of the music suitable to the user's context. Finally, the Recommendation Module recommends the music to the user. Context reasoning is implemented using case-based reasoning.