Characterizing the reputation of evaluators using vectors in the object feature space
作者：
Highlights：
• Suggested to use a vector to characterize the reputation of the evaluators.
• Introduced a method to find the evaluator’s reputation vector and object’s rate.
• The community structure of the objects is taken as the feature space of the objects.
• The results show the group structure of the evaluators.
• Performance of the method better than the original correlation-based algorithm.
摘要
•Suggested to use a vector to characterize the reputation of the evaluators.•Introduced a method to find the evaluator’s reputation vector and object’s rate.•The community structure of the objects is taken as the feature space of the objects.•The results show the group structure of the evaluators.•Performance of the method better than the original correlation-based algorithm.
论文关键词：Online rating system,Reputation evaluation,Object classification,Clustering
论文评审过程：Received 19 May 2021, Revised 18 December 2021, Accepted 29 March 2022, Available online 6 April 2022, Version of Record 14 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117136
