Abstract: Implementations described herein relate to methods, systems, and computer-readable media to personalize recommendations. In some implementations, a method includes computing a user-based similarity matrix and a game-based similarity matrix, obtaining a set of user scores from a first machine learning model and the user-based similarity matrix, and obtaining a set of game scores from a second machine learning model and the game-based similarity matrix. The method also includes combining the set of user scores and the set of game scores to generate a normalized set of scores, identifying a set of personalized recommendations for the user associated with a subset of the normalized set of scores, assigning a rank to each of the plurality of items, generating a list of items wherein items in the list of items are ordered based on respective ranks, and providing a user interface to the user that includes the list of items.