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Title:Analysis of Information Features in Natural Language Queries for Music Information Retrieval: Use Patterns and Accuracy
Author(s):Lee, Jin Ha
Doctoral Committee Chair(s):Renear, Allen
Department / Program:Library and Information Science
Discipline:Library and Information Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Music
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.
Issue Date:2008
Type:Text
Language:English
Description:350 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
URI:http://hdl.handle.net/2142/81558
Other Identifier(s):(MiAaPQ)AAI3337875
Date Available in IDEALS:2015-09-25
Date Deposited:2008


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