A Modular Diversity Based Reviewer Recommendation System
Marcin Maleszka , Bernadetta Maleszka , Dariusz Król , Marcin Hernes , Denis Mayr Lima Martins , Leschek Homann , Gottfried Vossen
AbstractA 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
|Publication size in sheets||0.55|
|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, , 587 p., DOI:10.1007/978-981-15-3380-8|
|Keywords in English||Recommender Ssystem, Reviewer Recommendation, Social Recommendation, Linguistic Recommendation, Paper-Reviewer Assignment Pproblem|
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