Published on by Peter Brown
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH (RELISH) consortium consisting of more than 1,500 scientists from 84 countries, who have collectively annotated the relevance of over 180,000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data covers 76% of all unique PubMed Medical Subject Headings (MeSH) descriptors. No systematic biases were observed across different experience levels, research fields, or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. The established database server located at is freely available for downloading annotation data and blind-testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title, title/abstract, and keyword-based search engines.

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