Question routing via activity-weighted modularity-enhanced factorization

• Published in: Social network analysis and mining Vol. 12; no. 1; p. 155
• Main Authors: Krishna, Vaibhav, Vasiliauskaite, Vaiva, Antulov-Fantulin, Nino
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.12.2022; Springer Nature B.V
• Subjects: Answers; Applications of Graph Theory and Complex Networks; Classification; Computer Science; Data Mining and Knowledge Discovery; Dynamic models; Economics; Experts; Game Theory; Humanities; Law; Methodology of the Social Sciences; Modelling; Modularity; Original Article; Questions; Social and Behav. Sciences; Statistics for Social Sciences; Subject specialists; User generated content; Question routing; Community detection; Expert recommendation systems; Social network analysis

Question Routing (QR) in Community-based Question Answering (CQA) websites aims at recommending newly posted questions to potential users who are most likely to provide “accepted answers”. Most of the existing approaches predict users’ expertise based on their past question answering behavior and th...