Intelligent Decision Support Based on User Digital Life Model: Principles and Conceptual Framework

Digital technologies have become an integral part of all aspects of human life. Living digital style and interacting with various applications and Web sites, humans leave digital traces of their online activities. These traces organize human digital life. The paper introduces principles of intelligent decision support based on a model of user digital life. Such a model structures content of user digital life with relation to the problems the user have ever dealt with and the decisions made. The principles form the basis of a conceptual framework aiming at recommending decisions. Group patterns provide historical data to predict decisions. A group pattern represents a generalized model of digital life for a group of users with similar preferences and decision-making behaviours. An initial model of a decision maker ontology is presented that performs contextdependent classification of the users into decision maker types to provide context-aware recommendations.