A tool for content based navigation of music
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
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
Design of impression scales for assessing impressions of news articles
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
An efficient method for odor retrieval
BI'11 Proceedings of the 2011 international conference on Brain informatics
Improving a method for quantifying readers' impressions of news articles with a regression equation
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
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We have developed a scheme for music retrieval that adapts to the user's impressions of the musical pieces. First, we conducted impression-estimation experiments in which 100 subjects gave their impression of 80 musical pieces, and then, using a clustering method, we classified the 100 subjects into 20 groups based on the results. Next, we created a user model for each group consisting of formulas for numerically expressing the impressions and a set of vectors calculated using the formulas. We then developed a procedure for identifying the most suitable model for an unidentified user. Testing of the models and procedure in an existing impression-based music-retrieval system demonstrated the effectiveness of the proposed scheme.