Context-aware Personalized Decision Support based on User Digital Life Model

Alexander V. Smirnov, Tatiana Levashova

Abstract: Digital traces is a source of information about the users and their actions while the online activities. A structured part of this source, which represents information related to the decision-making process of a user, is proposed to be formalized in the form of user digital life model. The decision support system addresses this model for information to recognize user types and recommend personalized decisions. A user type is characterized with common personality traits of the users as decision makers and common decision-making behaviours of these users as consumers. A user ontology represents a priori knowledge on the user types and supports the user classification into them. The paper considers kinds of factors influencing decision-making styles and consequently personality traits of decision makers as well as behaviour variables determining decision-making behaviour. The user digital life model provides information to score these factors and instantiate the variables. A decision su