Communications of the ACM - Special issue on information filtering
C4.5: programs for machine learning
C4.5: programs for machine learning
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
Communications of the ACM
Introduction: personalized views of personalization
Communications of the ACM
A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
PIPE: Web Personalization by Partial Evaluation
IEEE Internet Computing
Problems of music information retrieval in the real world
Information Processing and Management: an International Journal
Robust Polyphonic Music Retrieval with N-grams
Journal of Intelligent Information Systems
Music retrieval: a tutorial and review
Foundations and Trends in Information Retrieval
Computer Graphics Brazil: Content-based icons for music files
Computers and Graphics
Advanced Information Retrieval
Electronic Notes in Theoretical Computer Science (ENTCS)
Privacy-conscious P2P data sharing scheme with bogus profile distribution
Web Intelligence and Agent Systems
A ranking method for multimedia recommenders
Proceedings of the ACM International Conference on Image and Video Retrieval
A multimedia recommender integrating object features and user behavior
Multimedia Tools and Applications
Ontology-based web service to recommend spare time activities
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Experiencing coincidence during digital music listening
ACM Transactions on Computer-Human Interaction (TOCHI)
The relation between user intervention and user satisfaction for information recommendation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
SNOPS: a smart environment for cultural heritage applications
Proceedings of the twelfth international workshop on Web information and data management
International Journal of Multimedia Data Engineering & Management
A Multimedia Recommender System
ACM Transactions on Internet Technology (TOIT)
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Information filtering systems, which recommend appropriate information to users from enormous amount of information, are becoming popular. One method of information filtering is content-based filtering that compares a user profile with a content model. Many systems using content-based filtering deal with text data, and few systems deal with music data. We propose a content-based filtering system for music data by using a decision tree. Compared with other filtering methods, a decision tree can eliminate noise features, which are not related to the user's preference, and can allow the user to edit the learned user profile. We conduct an experiment by using real music data and users to validate the effectiveness of our system compared with other filtering methods.