对信息检索试题集进行信息计量分析：物理领域的初步实验
Performing Informetric Analysis on Information Retrieval Test Collections: Preliminary Experiments in the Physics Domain
摘要：
信息计量分析和信息检索的结合允许双重应用。(1)虽然信息计量学分析主要用于深入了解科学领域，但它可用于构建推荐或替代排名服务。它们通常基于共现或引文分析等方法。(2)信息检索及其数十年来使用标准文档语料库、预定义主题和相关性判断进行严格评估的传统可以用作信息计量分析的测试平台。我们展示了一个初步的实验，这两个域可以连接使用iSearch测试集合，一个标准的信息检索测试集合来自开放获取arXiv.org预印本服务器。在本文中，其目的是得出一个结论，适当的iSearch作为一个测试床的检索或推荐系统，应用信息计量方法，以提高检索结果的用户进行评估。基于对物理学家的访谈研究，文献耦合和作者共引分析，确定了十个不同的研究问题的重要作者。结果表明，分析的语料库包括这些作者和他们的相应文件。这项研究是检索评价和信息分析方法评价相结合的第一步。
英文摘要：
The combination of informetric analysis and information retrieval allows a twofold application. (1) While in-formetrics analysis is primarily used to gain insights into a scientific domain, it can be used to build recommen-dation or alternative ranking services. They are usually based on methods like co-occurrence or citation analyses. (2) Information retrieval and its decades-long tradition of rigorous evaluation using standard document corpora, predefined topics and relevance judgements can be used as a test bed for informetric analyses. We show a preliminary experiment on how both domains can be connected using the iSearch test collection, a standard information retrieval test collection derived from the open access arXiv.org preprint server. In this paper the aim is to draw a conclusion about the appropriateness of iSearch as a test bed for the evaluation of a retrieval or recommendation system that applies informetric methods to improve retrieval results for the user. Based on an interview study with physicists, bibliographic coupling and author-co-citation analysis, important authors for ten different research questions are identified. The results show that the analysed corpus includes these authors and their corresponding documents. This study is a first step towards a combination of retrieval evaluations and the evaluation of informetric analyses methods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
