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首页> 外文学位 >Analysis of information features in natural language queries for music information retrieval: Use patterns and accuracy.
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Analysis of information features in natural language queries for music information retrieval: Use patterns and accuracy.

机译：用于音乐信息检索的自然语言查询中的信息特征分析：使用模式和准确性。

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摘要

A major issue in current music information retrieval (MIR) research is the lack of empirical studies of users and real-life music information seeking behavior. In particular, our poor understanding of real-life queries is an impediment to developing MIR systems that meet the needs of real users. This study aims, by an empirical investigation of real-life queries, to contribute to developing a theorized understanding of how people seek music information. This is crucial for informing the design of future MIR systems, especially the selection of potential access points, as well as establishing a set of test queries that reflect the real-life music information seeking behavior.;Queries are collected from an online reference website and coded using content analysis. The taxonomies of needs and information features are established by an iterative coding process and the intercoder reliability of the categories is tested by standard measures. The empirical associations between the needs and features are measured by the co-occurrences among them. Queries with known answers are qualitatively examined in order to determine the accuracy of selected information features provided by users and to gain insight into use of these features in music information queries.;This study found that (i) most of the queries analyzed are known-item searches, (ii) most contain a wide variety of kinds of information, (iii) much of this information is false, inaccurate, or uncertain, and (iv) despite these inaccuracies and uncertainties many queries are successful. A theory from pragmatics is suggested as a partial explanation for the unexpected success of inaccurate queries.;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.
机译：当前的音乐信息检索（MIR）研究中的主要问题是缺乏对用户和现实生活中的音乐信息搜索行为的经验研究。尤其是，我们对现实生活查询的理解不足，这阻碍了开发满足实际用户需求的MIR系统。这项研究的目的是通过对现实生活中的查询进行实证研究，以有助于发展人们对音乐信息的理论理解。这对于通知未来的MIR系统设计至关重要，尤其是潜在接入点的选择，以及建立反映真实音乐信息搜索行为的一组测试查询。;查询是从在线参考网站和使用内容分析进行编码。需求和信息特征的分类法是通过迭代编码过程建立的，并且类别间编码器的可靠性通过标准措施进行测试。需求和特征之间的经验关联通过它们之间的共现来衡量。对具有已知答案的查询进行定性检查，以确定用户提供的所选信息功能的准确性，并深入了解音乐信息查询中这些功能的使用。该研究发现（i）分析的大多数查询都是已知的-项目搜索；（ii）大多数包含各种各样的信息，（iii）这些信息中很多都是错误的，不准确的或不确定的，并且（iv）尽管存在这些错误和不确定性，但许多查询还是成功的。建议用语用学的理论来部分解释不准确查询的意外成功。基于此研究，可以提出一些改进MIR系统的建议：（i）将用户上下文纳入测试查询中；（ii）使用熟悉的术语建议用户参与评估任务，以及（iii）合并多个任务结果。有关相关多媒体作品的信息以及在IR中应用描述的属性/参考读物也可能有助于改善当前的MIR系统。

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  • 作者

    Lee, Jin Ha.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Library Science.;Music.;Information Science.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 350 p.
  • 总页数 350
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 图书馆学、图书馆事业;信息与知识传播;音乐;
  • 关键词

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