Predicting Categorical Information for New Content in Application Recommender Systems

Abstract

Generally, the present disclosure is directed to predicting categorical information for newly created content in an application recommender system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict categorical information of new applications in an applications marketplace based on screenshots of such new applications in the applications marketplace

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