Title
Inferring Descriptions and Similarity for Music from Community Metadata
Abstract
We propose methods for unsupervised learning of text profiles for music from unstructured text obtained from the web. The profiles can be used for classifica- tion, recommendation, and understanding, and may be used in conjunction with existing methods such as au- dio analysis and collaborative filtering to improve per- formance. A formal method for analyzing the quality of the learned profiles is given, and results indicate that they perform well when used to find similar artists.
Year
Venue
Field
2002
ICMC
Metadata,Information retrieval,Computer science
DocType
Citations 
PageRank 
Conference
68
11.17
References 
Authors
8
2
Name
Order
Citations
PageRank
Brian Whitman125026.88
Steve Lawrence26194872.30