A Modular Diversity Based Reviewer Recommendation System
Zusammenfassung
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.
Schlüsselwörter
recommendation
Zitieren als
Maleszka, M., Maleszka, B., Krol, D., Hernes, M., Martins, D., Homann, L., & Vossen, G. (2020). A Modular Diversity Based Reviewer Recommendation System. In Paweł, S., Marcin, P., Marek, K., & Chutimet, S. (Eds.), Intelligent Information and Database Systems (pp. 550–561). Communications in Computer and Information Science (CCIS): Vol. 1178. Heidelberg: Springer.Details
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2020
Konferenz
12th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
Konferenzort
Phuket
Band
1178
Buchtitel
Intelligent Information and Database Systems
Herausgeber
Paweł Sitek, Marcin Pietranik, Marek Krótkiewicz, Chutimet Srinilta
Erste Seite
550
Letzte Seite
561
Band
1178
Reihe
Communications in Computer and Information Science (CCIS)
Verlag
Springer
Ort
Heidelberg
Sprache
Englisch
ISSN
1865-0929
ISBN
978-3-030-42057-4
DOI
Gesamter Text