How to Choose Appropriate Experts for Peer Review: An Intelligent Recommendation Method in a Big Data Context

Authors

  • Duanduan Liu School of Information, Renmin University of China, Beijing, 100872
  • Wei Xu School of Information, Renmin University of China, Beijing, 100872
  • Wei Du School of Information, Renmin University of China, Beijing, 100872 Department of Information Systems, City University of Hong Kong, Kowloon
  • Fuyin Wang School of Information, Renmin University of China, Beijing, 100872

DOI:

https://doi.org/10.5334/dsj-2015-016

Keywords:

Experts recommendation, Text mining, Integration model, Big data analysis

Abstract

The rapid development of the internet has led to the accumulation of massive amounts of data, and thus we find ourselves entering the age of big data. Obtaining useful information from these big data is a crucial issue. The aim of this article is to solve the problem of recommending experts to provide peer reviews for universities and other scientific research institutions. Our proposed recommendation method has two stages. An information filtering method is first offered to identify proper experts as a candidate set. Then, an aggregation model with various constraints is suggested to recommend appropriate experts for each applicant. The proposed method has been implemented in an online research community, and the results exhibit that the proposed method is more effective than existing ones.

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Published

2015-05-22

Issue

Vol. 14 (2015)

Section

Proceedings Papers

License

Copyright (c) 2015 The Author(s)

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