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EQUAL RATING OPPORTUNITY ANALYSIS FOR DETECTING REVIEW MANIPULATION (for testing)

Citation Author(s):
Submitted by:
Yongbo Zeng
Last updated:
23 February 2016 - 1:43pm
Document Type:
Research Manuscript
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Abstract 

Abstract: 

Abstract—Online review plays an important role when people are making decisions to purchase a product or service. It is shown that sellers can benefit from boosting their product review or downgrading their competitors’ product review. Dishonest behavior on reviews can seriously affect both buyers and sellers. In this paper, we introduce a novel angle to detect dishonest reviews, called Equal Rating Opportunity (ERO) evaluation. The proposed ERO evaluation can detect embedded manipulation signals based on limited amount of data. Experiments based on real data are conducted. Four highly problematic products are successfully detected from 303 products.
Index Terms—Reputation system, Trust, Security

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