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arXiv cs/0011002cs.CL
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一种基于新颖度的信息检索评价方法

A Novelty-based Evaluation Method for Information Retrieval

Atsushi Fujii, Tetsuya Ishikawa

摘要:

在信息检索研究中,查准率和查全率一直被用来评价信息检索系统。然而,考虑到公众已经可以获得许多彼此相似的检索系统,检索新颖的相关文档是有价值的,即,现有系统无法检索的文件。鉴于这个问题,我们提出了一个评价方法,有利于系统检索尽可能多的新文件。我们还使用我们的方法来评估参加IREX研讨会的系统。

英文摘要:

In information retrieval research, precision and recall have long been used to evaluate IR systems. However, given that a number of retrieval systems resembling one another are already available to the public, it is valuable to retrieve novel relevant documents, i.e., documents that cannot be retrieved by those existing systems. In view of this problem, we propose an evaluation method that favors systems retrieving as many novel documents as possible. We also used our method to evaluate systems that participated in the IREX workshop.

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。

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