Analysis of Information Features in Natural Language Queries for Music Information Retrieval: Use Patterns and Accuracy
Lee, Jin Ha
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Permalink
https://hdl.handle.net/2142/81558
Description
Title
Analysis of Information Features in Natural Language Queries for Music Information Retrieval: Use Patterns and Accuracy
Author(s)
Lee, Jin Ha
Issue Date
2008
Doctoral Committee Chair(s)
Renear, Allen
Department of Study
Library and Information Science
Discipline
Library and Information Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Music
Language
eng
Abstract
Based on this study some recommendations for improving MIR systems can be made: (i) incorporating user context in test queries, (ii) employing terms familiar to users in evaluation tasks, and (iii) combining multiple task results are recommended. Information about related multimedia works and applying attributive/referential readings of descriptions in IR may also help improve the current MIR systems.
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