Abstract: Systems and methods provide techniques for improving application utilization using prediction-based recommendations. In various embodiments, a method includes receiving user engagement data associated with a user-accessed application and an entity identifier of a particular entity and receiving historical user engagement data for additional entities associated with the user-accessed application and at least one of a plurality of candidate applications. The method includes determining a subset of the additional entities using a similarity analysis between the user engagement data and the historical user engagement data. The method includes generating, using a machine learning model, respective recommendation scores for the candidate applications based on the user engagement data, the machine learning model having been trained using a subset of the historical user engagement data corresponding to the subset of additional entities.

Abstract: The present invention relates to a tubular container having an applicator, and the tubular container having an applicator according to the present invention is characterized in that an applicator made of metal and silicone, which contacts skin, is provided on the upper portion of the tubular container such that, when the contents thereof are applied to the skin, warmth or coldness can be transferred to the skin, thereby facilitating metabolism of the face skin and improving skin elasticity.

Abstract: The present invention relates to a tubular container having an applicator, and the tubular container having an applicator according to the present invention is characterized in that an applicator made of metal and silicone, which contacts skin, is provided on the upper portion of the tubular container such that, when the contents thereof are applied to the skin, warmth or coldness can be transferred to the skin, thereby facilitating metabolism of the face skin and improving skin elasticity.