Files in this item
| Files | Description | Format |
|---|---|---|
|
application/pdf  3337875.pdf (6MB) | (no description provided) |
Description
| 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 |
This item appears in the following Collection(s)
-
Dissertations and Theses - Library and Information Science
Dissertations and theses from the School of Information Sciences -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois