A Modular Diversity Based Reviewer Recommendation System

Marcin Maleszka , Bernadetta Maleszka , Dariusz Król , Marcin Hernes , Denis Mayr Lima Martins , Leschek Homann , Gottfried Vossen


A new approach for solving the problem of reviewer recommendation for conference or journal submissions is proposed. Instead of assigning one best reviewer and then looking for a second-best match, we want to start from a single reviewer and look for a diverse group of other possible candidates, that would complement the first one in order to cover multiple areas of the review. We present the idea of an overall modular system for determining a grouping of reviewers, as well as three modules for such a system: a keyword-based module, a social graph module, and a linguistic module. The added value of modular diversity is seen primarily for larger groups of reviewers. The paper also contains a proof of concept of the method
Author Marcin Maleszka - Wrocław University of Science and Technology (PWr)
Marcin Maleszka,,
, Bernadetta Maleszka - Wrocław University of Science and Technology (PWr)
Bernadetta Maleszka,,
, Dariusz Król - Wrocław University of Science and Technology (PWr)
Dariusz Król,,
, Marcin Hernes (BM / DACIaQM)
Marcin Hernes,,
- Department of Process Management
, Denis Mayr Lima Martins - University of Munster (WWU)
Denis Mayr Lima Martins,,
, Leschek Homann - University of Munster (WWU)
Leschek Homann,,
, Gottfried Vossen - University of Munster (WWU)
Gottfried Vossen,,
Publication size in sheets0.55
Book Sitek Paweł, Pietranik Marcin, Krótkiewicz Marek, Srinilta Chutimet (eds.): Intelligent Information and Database Systems, Communications in Computer and Information Science, no. 1178, 2020, Springer, ISBN 9789811533792, [9789811533808], 587 p., DOI:10.1007/978-981-15-3380-8
Keywords in EnglishRecommender Ssystem, Reviewer Recommendation, Social Recommendation, Linguistic Recommendation, Paper-Reviewer Assignment Pproblem
Languageen angielski
Score (nominal)20
Score sourcepublisherList
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.