Batch recommendation of experts to questions in community-based question-answering with a sailfish optimizer
作者：
Highlights：
• Batch recommendation of answerers to questions is proposed.
• Activeness, recency, and professionalism are defined to measure expertise.
• Coverage, answerability and expert resource consumption are defined as objectives.
• A discrete sailfish swordfish optimizer with a genetic algorithm is constructed for clustering.
• A binary multiobjective sailfish swordfish optimizer with a genetic algorithm is constructed.
摘要
•Batch recommendation of answerers to questions is proposed.•Activeness, recency, and professionalism are defined to measure expertise.•Coverage, answerability and expert resource consumption are defined as objectives.•A discrete sailfish swordfish optimizer with a genetic algorithm is constructed for clustering.•A binary multiobjective sailfish swordfish optimizer with a genetic algorithm is constructed.
论文关键词：Community-based question-answering,Sailfish optimizer,Expert recommendation,Question routing
论文评审过程：Received 26 June 2020, Revised 4 November 2020, Accepted 7 December 2020, Available online 13 December 2020, Version of Record 24 December 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114484
