Abstract: Techniques for incorporating machine learning recommendations into presentation of network information within predefined load times are described herein. For example, a computer system can determine, based on a selection via a user interface of a client device presenting first network information, a request for a second network information. The computer system can cause a processor to use a machine learning model to generate a first recommendation based on contextual data and indicating a first parameter to present the second network information. The computer system may access a pre-computed second recommendation based on the contextual data. The second recommendation indicates a second parameter. The computer system can cause of the client device to present the second network information such that the second network information is presented by at least using the first parameter or the second parameter based on a response time for the machine learning model generating the first parameter.