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A survey on expert finding techniques
- Source :
- Journal of Intelligent Information Systems. 49:255-279
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- 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.
- Subjects :
- Data collection
Computer Networks and Communications
Computer science
02 engineering and technology
Data science
Data resources
Task (project management)
Artificial Intelligence
Hardware and Architecture
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Software
Information Systems
Subjects
Details
- ISSN :
- 15737675 and 09259902
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent Information Systems
- Accession number :
- edsair.doi...........4d8425d3b38e80dcfcaede4e72f3c040
- Full Text :
- https://doi.org/10.1007/s10844-016-0440-5