You often come across new apps in the Play Store , whose goodness is distorted by feedback of the fake and comments designed to increase the number of downloads and climb the ranking interior. Most often the mechanism of signaling plays very well and his work is being systematically cleansed from the Play Store app, for the most part do not harmful, which often do not reflect the contents described in misleading the user. We rely on feedback for any category of research, with comments on Apps, music, videos, books, clubs and restaurants and stores any changes hit moving over to Google's.
The Mountain View giant wants to help find a solution, and decided to fund research on the University of Illinois at Chicago study of an algorithm that solves the problem.
The problems in this regard are many, but it seems that the work is in the right direction in a form called algorithmic development GSrank. The type of indexing does not seem to focus on the identification of the culprit, because of such fraud. There are clear parameters taken into account but it seems that the cipher will focus on factors such as similarities in ratings / reviews, group sizes, and timing with which a comment is inserted, where it seems clear that a review is a symptom of too hasty Fake . The research and development continue GSrank and participation in the Google project will ensure that Play Store can use them in preference to the other store.
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