Journal
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
Volume 49, Issue 2, Pages 255-279Publisher
SPRINGER
DOI: 10.1007/s10844-016-0440-5
Keywords
Expert finding; Data resources; Algorithms
Funding
- National Natural Science Foundation of China [61303081, 91646116]
- Scientific and Technological Support Project (Society) of Jiangsu Province [BE2016776]
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Finding experts in specified areas is an important task and has attracted much attention in the information retrieval community. Research on this topic has made significant progress in the past few decades and various techniques have been proposed. In this survey, we review the state-of-the-art methods in expert finding and summarize these methods into different categories based on their underlying algorithms and models. We also introduce the most widely used data collection for evaluating expert finding systems, and discuss future research directions.
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