Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing scientific texts on the other hand, citation recommendation has emerged as an important research topic. In recent years, several approaches and evaluation data sets have been presented. However, to the best of our knowledge, no literature survey has been conducted explicitly on citation recommendation. In this article, we give a thorough introduction into automatic citation recommendation research. We then present an overview of the approaches and data sets for citation recommendation and identify differences and commonalities using various dimensions. Last but not least, we shed light on the evaluation methods, and outline general challenges in the evaluation and how to meet them. We restrict ourselves to citation recommendation for scientific publications, as this document type has been studied the most in this area. However, many of the observations and discussions included in this survey are also applicable to other types of text, such as news articles and encyclopedic articles.

中文翻译：

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引文推荐：方法和数据集

引文推荐描述了为给定文本推荐引文的任务。一方面由于近年来发表的科学著作超载，另一方面在撰写科学文本时需要引用最合适的出版物，引文推荐已成为一个重要的研究课题。近年来，已经提出了几种方法和评估数据集。然而，据我们所知，尚未对引文推荐进行明确的文献调查。在本文中，我们将全面介绍自动引文推荐研究。然后，我们概述了引文推荐的方法和数据集，并使用各种维度确定了差异和共性。最后但并非最不重要的是，我们阐明了评估方法，并概述评估中的一般挑战以及如何应对这些挑战。我们将自己限制在科学出版物的引文推荐上，因为在该领域对这种文档类型进行了最多的研究。但是，本次调查中包含的许多观察和讨论也适用于其他类型的文本，例如新闻文章和百科全书文章。