Automatic detection of fraudulent ratings/comments related to an application store

Abstract

The present disclosure describes one or more systems, methods, routines and/or techniques for automatic detection of fraudulent ratings and/or comments related to an application store. The present disclosure describes various ways to differentiate fraudulent submissions (e.g., ratings, comments, reviews, etc.) from legitimate submissions, e.g., submissions by real users of an application. These various ways may be used to generate intermediate signals that may indicate that a submission is fraudulent. One or more intermediate signals may be automatically combined or aggregated to generate a detection conclusion for a submission. Once a fraudulent submission is detected, the present disclosure describes various ways to proceed (e.g., either automatically or manually), for example, the fraudulent submission may be ignored, or a person or account associated with the fraudulent submission may be penalized. The various descriptions provided herein should be read broadly to encompass various other services that accept user ratings and/or comments.