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Estimating Reviewer Credibility Using Review Contents and Review Histories
Yuya TANAKA Nobuko NAKAMURA Yoshinori HIJIKATA Shogo NISHIDA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/11/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Data Engineering, Web Information Systems
information credibility, product review, credible reviewer estimation, feature investigation, methodology investigation,
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In recent years, user-supplied reviews have increased to become widely prevalent on many websites. Some reviewers (users who comment on items) provide valuable information. Others provide information many people already know. Our goal is to identify credible reviewers who provide valuable information. Two methods can be used to measure reviewer credibility: assessing reviewers based on the content of reviews that they have written in the past and assessing reviewers based on their review histories. By comparing these methods, we aim at obtaining knowledge to determine which method is most useful for identifying credible reviewers. Additionally, many features have been proposed for assessing reviews or reviewers in the previous methods, but they have not been compared. We compare these attributes and clarify what kinds of attribute are useful for identifying credible reviewers.