An overview of audio information retrieval
Multimedia Systems - Special issue on audio and multimedia
Personal DJ, an architecture for personalised content delivery
Proceedings of the 10th international conference on World Wide Web
Robust temporal and spectral modeling for query By melody
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Implementation of relevance feedback for content-based music retrieval based on user prefences
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Content-based music indexing and organization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Content-based methods for the management of digital music
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Experimenting with music taste prediction by user profiling
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Contextual relevance feedback in web information retrieval
IIiX Proceedings of the 1st international conference on Information interaction in context
Music retrieval: a tutorial and review
Foundations and Trends in Information Retrieval
Music emotion recognition: the role of individuality
Proceedings of the international workshop on Human-centered multimedia
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
Journal of Systems and Software
Relevance feedback for category search in music retrieval based on semantic concept learning
Multimedia Tools and Applications
User Modeling and User-Adapted Interaction
Evaluation of Modeling Music Similarity Perception Via Feature Subset Selection
UM '07 Proceedings of the 11th international conference on User Modeling
A fuzzy framework for defining dynamic playlist generation heuristics
Fuzzy Sets and Systems
An adaptation framework for QBH-based music retrieval
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Implementation and interaction issues in digital music libraries
WSEAS TRANSACTIONS on SYSTEMS
Digital music libraries: interaction with MELIRIS
ACS'09 Proceedings of the 9th WSEAS international conference on Applied computer science
Dynamic neural networks applied to melody retrieval
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
MusiCube: a visual music recommendation system featuring interactive evolutionary computing
Proceedings of the 2011 Visual Information Communication - International Symposium
Location-adapted music recommendation using tags
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Effective content-based music retrieval with pattern-based relevance feedback
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Recommending music for places of interest in a mobile travel guide
Proceedings of the fifth ACM conference on Recommender systems
A daily, activity-aware, mobile music recommender system
Proceedings of the 20th ACM international conference on Multimedia
Information Processing and Management: an International Journal
Competence-based song recommendation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Adaptive music retrieval---a state of the art
Multimedia Tools and Applications
Personalized next-song recommendation in online karaokes
Proceedings of the 7th ACM conference on Recommender systems
A new methodology for music retrieval based on dynamic neural networks
International Journal of Hybrid Intelligent Systems
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Numerous efforts on content-based music information retrieval have been presented in recent years. However, the object of such existing research is to retrieve a specific song from a large music database. In this research, we propose a music retrieval method which retrieves songs based on the user's musical preferences. This enables users to discover new songs which they are expected to like. Since music preferences are expected to be highly ambiguous, we propose the implementation of relevance feedback methods to improve the performance of our music information retrieval method. In order to reduce the burden of users to input learning data to the system, we also propose a method to generate user profiles based on genre preferences, and refinement of such profiles based on relevance feedback. Evaluation experiments are conducted based on a corpus of music data with user ratings. Results of these experiments prove the effectiveness of our method.