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University of Illinois at Urbana-Champaign
Analysis of Information Features in Natural Language Queries for Music Information Retrieval: Use Patterns and Accuracy
Abstract
dc:descriptionBased 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Library and Information Science
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lee, Jin Ha
- Contributors dc:contributor
-
- Renear, Allen
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3337875
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81558