A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback–Leibler divergence-Reference-Cited by-同舟云学术

A novel approach for fraudulent reviewer detection based on weighted topic modelling and nearest neighbors with asymmetric Kullback–Leibler divergence

Published:2022-06 Issue: Volume:157 Page:113765
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Zhang Wen,Xie Rui,Wang Qiang,Yang Ye,Li Jian

Funder

Beijing Municipal Commission of Education

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference72 articles.

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