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Open AccessReview

Expert Finding Systems: A Systematic Review

1
School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
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Department of Computer Science, University of Khartoum, Khartoum 11111, Sudan
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Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
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School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou 510006, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(20), 4250; https://doi.org/10.3390/app9204250
Received: 5 August 2019 / Revised: 17 September 2019 / Accepted: 25 September 2019 / Published: 11 October 2019
(This article belongs to the Section Computing and Artificial Intelligence)
The data overload problem and the specific nature of the experts’ knowledge can hinder many users from finding experts with the expertise they required. There are several expert finding systems, which aim to solve the data overload problem and often recommend experts who can fulfil the users’ information needs. This study conducted a Systematic Literature Review on the state-of-the-art expert finding systems and expertise seeking studies published between 2010 and 2019. We used a systematic process to select ninety-six articles, consisting of 57 journals, 34 conference proceedings, three book chapters, and one thesis. This study analyses the domains of expert finding systems, expertise sources, methods, and datasets. It also discusses the differences between expertise retrieval and seeking. Moreover, it identifies the contextual factors that have been combined into expert finding systems. Finally, it identifies five gaps in expert finding systems for future research. This review indicated that ≈65% of expert finding systems are used in the academic domain. This review forms a basis for future expert finding systems research. View Full-Text
Keywords: expert finding systems; expertise retrieval; expertise seeking expert finding systems; expertise retrieval; expertise seeking
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MDPI and ACS Style

Husain, O.; Salim, N.; Alias, R.A.; Abdelsalam, S.; Hassan, A. Expert Finding Systems: A Systematic Review. Appl. Sci. 2019, 9, 4250.

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