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The prosperity of online rating system makes it an important place for malicious vendors to mislead public's online decisions, whereas the security related studies are lagging behind. In this work, we adopt a quantile regression model to investigate influential factors on online user choices and reveal the “self-exciting” property of online market. Inspired by these findings, we propose a novel iterative...
Manipulating online ratings of a product, in terms of both volume and value, can substantially influence its market performance, but the profits of a particular strategy can vary across products and might not be maximized by the highest rating values.
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