System-user interaction relating to advice

Abstract

Systems and methods for generating and providing an executable notification to a user based on their interactions with a system. The method involves prompting the user to input values for various preferences, and continuously receiving messages from multiple information sources related to predefined physical and virtual entities, which are stored as context data. An allocation proposition is created by assigning values to the entities, and compared to a comparative composition of entities. The executable notification, which includes the allocation proposition, is provided based on the comparison. User preferences, including regularization types and levels, are incorporated to filter and process messages. Sources are uncertainty and impact, which is used to suppress messages from sources with high uncertainty or significance. The user is prompted to change information sources and obtain a sentiment score, which is used to adjust the system's belief in information sources. User authorization is required to execute the notification.

CPC Classifications