Researcher2Vec: 公的研究助成機関のための研究者のベクトル化

抄録

To help various departments of funding agency from a statistical viewpoint, this paper describes our Researcher2Vec that efficiently represents expertise of each researcher in a low-dimensional vector space. It is mathematically defined rigorously to allow an efficient search of researchers who is most associated with a given keywords or a research proposal, and yields an objective visualization.