Investigating Social Network Analysis (SNA) for recommendation systems in science research discovery

研究科学研究发现中推荐系统的社交网络分析 (SNA)

• 批准号: 459023-2013
• 负责人: Lyons, Kelly
• 金额: $ 1.81万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=542130
• 关键词: Investigating; Social; Network; Analysis; SNA

A frequent challenge for science researchers and scholars is to keep up to date with relevant new research. This task can be challenging due to the disparate sources of literature and the relative lack of powerful tools to support context-specific and relevant methods for exploring academic literature. As time goes by, digital libraries continue to expand due to new literature being written, thus continually enlarging the pool of literature to explore. Although improving the accessibility of literature should benefit researchers, it puts pressure on literature exploration systems to support larger data sets, thus making exploration of digital libraries a more challenging process in need of novel tools, techniques and infrastructure.

科学研究人员和学者经常面临的一个挑战是跟上相关新研究的最新情况。这项任务可能具有挑战性，因为文献来源不同，而且相对缺乏强有力的工具来支持探索学术文献的具体背景和相关方法。随着时间的推移，由于新的文学作品的出现，数字图书馆不断扩大，从而不断扩大了可供探索的文献池。尽管改善文献的可获得性应该有利于研究人员，但这给文献探索系统带来了支持更大数据集的压力，从而使探索数字图书馆成为一个更具挑战性的过程，需要新的工具、技术和基础设施。