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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Analysis of User Needs and Information Features in Natural Language Queries Seeking Music Information
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Analysis of User Needs and Information Features in Natural Language Queries Seeking Music Information

机译：寻求音乐信息的自然语言查询中的用户需求和信息特征分析

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摘要

Our limited understanding of real-life queries is an obstacle in developing music information retrieval (MIR) systems that meet the needs of real users. This study aimed, by an empirical investigation of real-life queries, to contribute to developing a theorized understanding of how users 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 real-life music information-seeking behavior. Natural language music queries were collected from an online reference Website and coded using content analysis. A taxonomy of user needs expressed and information features used in queries were established by an iterative coding process. This study found that most of the queries analyzed were known-item searches, and most contained a wide variety of kinds of information, although a few features were used much more heavily than the others. In addition to advancing our understanding of real-life user queries by establishing an improved taxonomy of needs and features, three recommendations were made for improving the evaluation of MIR systems: (ⅰ) incorporating user context in test queries, (ⅱ) employing terms familiar to users in evaluation tasks, and (ⅲ) combining multiple task results.
机译：我们对现实生活查询的了解有限，这是开发满足实际用户需求的音乐信息检索（MIR）系统的障碍。这项研究旨在通过对现实生活中的查询进行实证研究，以帮助发展对用户如何查找音乐信息的理论理解。这对于通知未来MIR系统的设计，尤其是潜在接入点的选择以及建立反映真实音乐信息寻求行为的一组测试查询至关重要。从在线参考网站收集自然语言音乐查询，并使用内容分析进行编码。通过迭代编码过程建立了表示用户需求的分类法，并在查询中使用了信息功能。这项研究发现，分析的大多数查询都是已知项搜索，并且大多数包含各种各样的信息，尽管一些功能的使用比其他功能要多得多。除了通过建立改进的需求和功能分类法来增进对现实用户查询的理解外，还提出了三项建议来改进MIR系统的评估：（ⅰ）将用户上下文纳入测试查询中；（ⅱ）使用熟悉的术语给评估任务中的用户，以及（ⅲ）合并多个任务结果。

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