Usage metrics for augmented reality content may be identified and analyzed to determine measures of fitness for respective usage metrics. The measures of fitness may indicate a level of correlation with an outcome specified by an augmented reality content creator and an amount of interaction with an augmented reality content item by users of a client application. Recommendations may be provided to augmented reality content creators indicating modifications to augmented reality content items that have at least a threshold probability of increasing the level of interaction between users of the client application and the augmented reality content item.

Usage metrics for augmented reality content may be identified and analyzed to determine measures of fitness for respective usage metrics. The measures of fitness may indicate a level of correlation with an outcome specified by an augmented reality content creator and an amount of interaction with an augmented reality content item by users of a client application. Recommendations may be provided to augmented reality content creators indicating modifications to augmented reality content items that have at least a threshold probability of increasing the level of interaction between users of the client application and the augmented reality content item.

Systems and methods for automatically determining when a single party is playing or requesting conflicting content on two different devices, and resolving the conflict accordingly. Systems automatically identify when a single user is playing back a content stream on one device, then requests another content stream on another device. If the two content streams conflict, the conflict is automatically resolved in a number of ways, including by automatically pausing or redirecting one of the content streams. Conflict identification may also be carried out with the assistance of an added state flag that indicates a device or stream that has audio priority in a conflict. Thus, for example, when one user requests two conflicting content streams, and only one stream is associated with the conditional audio enabled flag, audio of the flagged stream may be played, while the other stream is muted.

Systems and methods for automatically determining when a single party is playing or requesting conflicting content on two different devices, and resolving the conflict accordingly. Systems automatically identify when a single user is playing back a content stream on one device, then requests another content stream on another device. If the two content streams conflict, the conflict is automatically resolved in a number of ways, including by automatically pausing or redirecting one of the content streams. Conflict identification may also be carried out with the assistance of an added state flag that indicates a device or stream that has audio priority in a conflict. Thus, for example, when one user requests two conflicting content streams, and only one stream is associated with the conditional audio enabled flag, audio of the flagged stream may be played, while the other stream is muted.

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and computing entities for predictive data protection using a data protection policy determination machine learning model. In one embodiment, a method is provided comprising: processing a historical data corpus using the data protection policy determination machine learning model to generate a dynamic data protection policy update describing inferred data protection instructions; determining an attestation subset of the inferred data protection instructions by comparing the instructions and prior data protection instructions described by an existing data protection policy; for each inferred data protection instruction in the attestation subset, determining a per-instruction attestation determination based on end-user feedback; generating an updated data protection policy by updating the existing policy in accordance with each inferred instruction in the attestation subset whose per-instruction attestation determination describes an affirmative attestation determination; and performing the predictive data protection using the updated data protection policy.

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, and computing entities for predictive data protection using a data protection policy determination machine learning model. In one embodiment, a method is provided comprising: processing a historical data corpus using the data protection policy determination machine learning model to generate a dynamic data protection policy update describing inferred data protection instructions; determining an attestation subset of the inferred data protection instructions by comparing the instructions and prior data protection instructions described by an existing data protection policy; for each inferred data protection instruction in the attestation subset, determining a per-instruction attestation determination based on end-user feedback; generating an updated data protection policy by updating the existing policy in accordance with each inferred instruction in the attestation subset whose per-instruction attestation determination describes an affirmative attestation determination; and performing the predictive data protection using the updated data protection policy.

The disclosure provides a method for managing multiple operating systems in a terminal. The terminal includes multiple operating systems and a management system. The management system is configured to manage the multiple operating systems. The management system includes a cross-system application database. The method includes: when a first operating system in the multiple operating systems runs in a foreground, and a second operating system in the multiple operating systems runs in a background, if the second operating system receives a first message of a first application in the second operating system, sending, by the second operating system, a notification message to the management system; storing, by the management system, the notification message into the cross-system application database; and listening, by the first operating system, on the cross-system application database, and outputting a prompt of the first message when listening and obtaining the notification message.

Disclosed are various embodiments for improving user interface rendering performance. A network page is received from one or more servers, where the network page includes code that renders a graphical placeholder for a user interface component. The code that renders the graphical placeholder for the user interface component is executed. Code that renders an updated view of the user interface component is received from the server(s) in response to a scrolling action or a viewport manipulation bringing the graphical placeholder for the user interface component into view. The code that renders the updated view of the user interface component is executed.

Disclosed are various embodiments for improving user interface rendering performance. A network page is received from one or more servers, where the network page includes code that renders a graphical placeholder for a user interface component. The code that renders the graphical placeholder for the user interface component is executed. Code that renders an updated view of the user interface component is received from the server(s) in response to a scrolling action or a viewport manipulation bringing the graphical placeholder for the user interface component into view. The code that renders the updated view of the user interface component is executed.

Embodiments generally enable a mobile device to display a window of a remote desktop on a mobile device with a native layout. In some embodiments, a method includes receiving a remote desktop display request from a mobile client device, wherein the remote desktop display request includes display information of the mobile client device. The method further includes generating a copy of a window process of a remote desktop computer. The method further includes generating a virtual display based at least in part on the copy of the window process of the remote desktop computer and on the display information of the mobile client device. The method further includes sending virtual display information to the mobile client device based at least in part on the virtual display.