Categories a-b-testing

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In reviews we trust — Making Google Play ratings and reviews more trustworthy

Posted by Fei Ye, Software Engineer and Kazushi Nagayama, Ninja Spamologist Google Play ratings and reviews are extremely important in helping users decide which apps to install. Unfortunately, fake and misleading reviews can undermine users’ trust in those ratings. User trust is a top priority for us at Google Play, […]

Machine Learning @ Teads (part 2)

Stack, production workflow and practice In the The first step [1] is the actual service making predictions. The generated application logs are then used, together with other sources of data (DMPs, etc.) to build training sets [2]. For the training jobs [3], these data sets are randomly split into several partitions that […]