Abstract: A system and method for user activity and preference analysis in a multi-user, multi-location digital environment that analyzes each user's state at each location where the user is present. If the user is present at multiple locations, the system and method also identify users that have mixed states, i.e., active at one or more locations and inactive at one or more second locations. If a user does not have a system-acceptable exception for its inactive state, the system and method may take action with respect to the user, which action may include warning the user or removing the user from the location.

Abstract: A system and method for user activity and preference analysis in a multi-user, multi-location digital environment that analyzes each user's state at each location where the user is present. If the user is present at multiple locations, the system and method also identify users that have mixed states, i.e., active at one or more locations and inactive at one or more second locations. If a user does not have a system-acceptable exception for its inactive state, the system and method may take action with respect to the user, which action may include warning the user or removing the user from the location.

Abstract: A method and system for are provided for optimizing and distributing data processing and resources in a multi-user, multi-location digital environment. User activity and user states are compiled and analyzed for each location where the user is present. User event processing may include distributing event data to one or more user state processors, choosing the optimum target processor, and filtering user event data to eliminate duplicate or unnecessary transmissions between processors that are hosted on one or more servers. Process intensive tasks, such as analyzing and transmitting user events, generated by user activity and user state changes, may be implemented using threads in an asynchronous processing environment, wherein the processors are horizontally scalable.