Paper Info
Title
Using Fuzzy Logic to Handle the Users' Semantic Descriptions in a Music Retrieval System
Abstract
This paper provides an investigation of the potential application of fuzzy logic to semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music. A semantic music recommendation system was built, based on an elaborate study of potential users of music information retrieval systems. In this study analysis was made of the descriptors that best characterize the user's understanding of music. Significant relationships between expressive and structural descriptions of music were found. A straightforward fuzzy logic methodology was then applied to handle the quality ratings associated with the descriptions. Rigorous real-world testing of the semantic music recommendation system revealed high user satisfaction.
Year
DOI
Venue
2007
10.1007/978-3-540-72434-6_10
THEORETICAL ADVANCES AND APPLICATIONS OF FUZZY LOGIC AND SOFT COMPUTING
Keywords
Field
DocType
semantic description,music information retrieval,user profile,music recommendation,query by emotion,fuzzy systems
Recommender system,Music information retrieval,User profile,Information retrieval,Computer science,Fuzzy logic,Emotive,Fuzzy control system
Conference
Volume
ISSN
Citations 
42.0
1615-3871
4
PageRank 
References 
Authors
0.37
6
2
Name
Order
Citations
PageRank
Micheline Lesaffre113016.49
Marc Leman2598.26