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专家发现数据集

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arXiv2020-04-08 更新2024-06-21 收录
下载链接:
https://github.com/brochier/expert_finding
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资源简介:
专家发现数据集是由里昂大学创建的一套用于科学领域专家发现的数据集,包含四个子集,分别从科学出版物网络和三个问答网站中提取。数据集大小不一,涉及的专家和文档通过作者关系和响应关系(如引用或回答)相连接。这些数据集旨在通过文档查询的方式,评估和改进专家发现算法,应用于自动搜索科学评审、问答网站专家用户推荐及职业招聘等领域。

The Expert Discovery Dataset is a collection developed by the University of Lyon for scientific domain expert discovery. It comprises four subsets extracted separately from a scientific publication network and three question-and-answer (Q&A) websites. The sizes of these subsets vary, and the involved experts and documents are connected through author relationships and response relationships, such as citations and answers. These datasets are intended to evaluate and optimize expert discovery algorithms via document queries, with applications in automatic scientific peer review retrieval, expert user recommendation for Q&A websites, professional recruitment, and other relevant fields.
提供机构:
里昂大学
创建时间:
2020-04-08
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