Architecture that processes preemptive events for an application that trigger based on user interaction movements of a specific input method (e.g., a mouse pointer) in a virtual document of the application. Machine learning is employed to predict and identify a target element the user will select in the virtual document. Thus, event triggering occurs before the user has physically performed the interaction. In response, a request that would normally be sent from the application when the user interacts with the target element(s), is prematurely cached in a system and processed to retrieve the results of the request so that when the target element is actually interacted with, the results are immediately transmitted to the user device for viewing. This saves time in the system by processing critical path operations before the user has interacted with the target element, and ultimately, produces an improved user experience with the application.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system, comprising: a movement component configured to compute movement characteristics of a virtual pointer in an application view of an application of a device, the movement characteristics of the virtual pointer computed from a first element in the application view; a prediction component configured to predict an intended target element based on machine learning as applied to the movement characteristics of the virtual pointer in virtual regions of the application view; a preemptive component configured to initiate preemptive events in response to identification of the target element and in anticipation of user interaction with the target element via the virtual pointer; and at least one hardware processor configured to execute computer-executable instructions in a memory, the instructions executed to enable at least the movement component, the prediction component, and the preemptive component. 2. The system of claim 1, wherein the preemptive events initiated cause precaching of a backend resource related to the target element. 3. The system of claim 1, wherein the prediction component is configured to identify a virtual region of the application view in which the intended target element resides, the virtual region identified based the movement characteristics of the virtual pointer in that virtual region. 4. The system of claim 1, wherein the preemptive component is configured to initiate a preemptive event that causes signaling of a system to precache a request expected from the application when the target element is activated. 5. The system of claim 4, wherein the initiation of the preemptive event triggers the system to perform a most time-expensive operation identified before the request is received from the application. 6. The system of claim 1, wherein the preemptive component is configured to initiate a preemptive event which causes precaching of a processor switching context by enabling prefetch of processor registers of a thread expected to be executed. 7. The system of claim 1, wherein the prediction component and preemptive component are configured to operate on the movement characteristics of the virtual pointer relative to multiple active applications of the device or active applications running on the device and other devices. 8. The system of claim 1, wherein the prediction component is configured to identify the intended target element based on analysis of historical data from previous user actions with the elements of the application. 9. A computer-implemented method comprising computer-executable instructions that when executed by a hardware processor, perform acts of: identifying movement characteristics of a virtual indicator relative to elements of a document of a web application, the movement characteristics identified from a first element to a target element of multiple possible target elements viewable in a display of a device; predicting the target element of the document based on the movement characteristics; triggering a preemptive event in response to prediction of the target element; signaling a system component to precache a request anticipated from the application, the signaling in response to triggering of the preemptive event; performing a most time-expensive operation of the system component in response to precaching of the request; precaching results data in the system component in anticipation of receiving the request from the web application; and sending the results data to the application when the request is received from the application. 10. The method of claim 9, further comprising employing machine learning to predict the target element based on the movement characteristics of the virtual indicator. 11. The method of claim 9, further comprising predicting the target element based in part on a virtual region of the display in which the target element is located. 12. The method of claim 9, further comprising precaching at least one of local resources for the device or external resources of a backend system in response to the preemptive event. 13. The method of claim 9, further comprising predicting the target element via the web application, which is a browser application, where the target element is a hypertext markup language element. 14. The method of claim 9, further comprising predicting touch-based preemptive events on the device, which is a touch-enabled device, based on touch contact points of the device. 15. The method of claim 9, further comprising predicting the target element based on movement characteristics that include at least one of trajectory, velocity, acceleration, dwell, user intent, or delay of the virtual indicator. 16. A computer-implemented method comprising computer-executable instructions that when executed by a hardware processor, perform acts of: detecting access of a webpage via a browser application in a display of a device; tracking movement characteristics of a virtual pointer over elements of the webpage, the movement characteristics define at least a trajectory from a first element of the webpage; predicting a target element in a virtual region of the webpage using machine learning as applied to the movement characteristics, the target element on the trajectory of the virtual pointer; initiating a preemptive event in response to prediction of the target element, the preemptive event causes signaling of a backend system to precache a request anticipated from the browser application; performing a time-expensive operation of the backend system in response to precaching of the request; precaching results associated with the request in the backend system prior to receiving user interaction with the target element; and presenting the results in the browser application when the request is received from the browser application. 17. The method of claim 16, further comprising acts of: loading the target element, which is a search engine link, into the browser application; responsive to the loading of the target element, attaching script code to a browser event; and storing movement characteristics information of the virtual pointer using the scripting code. 18. The method of claim 16, further comprising: characterizing the display into virtual regions; and predicting a next virtual region into which the virtual pointer will move. 19. The method of claim 16, further comprising computing likelihood data, for each element of the webpage, that a preemptive event of a corresponding element will be initiated. 20. The method of claim 16, further comprising identifying the target element based on movement characteristics of the virtual pointer in the virtual region of the target element.