Universiti Teknologi Malaysia Institutional Repository

Expert finding systems: A systematic review

Husain, Omayma and Salim, Naomie and Alias, Rose Alinda and Abdelsalam, Samah and Hassan, Alzubair (2019) Expert finding systems: A systematic review. Applied Sciences (Switzerland), 9 (20). p. 4250. ISSN 2076-3417


Official URL: http://dx.doi.org/10.3390/app9204250


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.

Item Type:Article
Uncontrolled Keywords:Expert finding systems, Expertise retrieval
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:88419
Deposited By: Widya Wahid
Deposited On:15 Dec 2020 08:06
Last Modified:15 Dec 2020 08:06

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