System of Automatic Recommendation an Prioritization of Tasks

Abstract

Most people have many di erent tasks, goals, projects, interests and responsibilities in life, and in the fast paced world we live in today, all of these grow in number and diversity all the time. This rising in complexity and quantity of matters to handle makes it progressively harder to make intuitive choices about which task to execute next. We developed a prototype application for helping the user in managing and prioritizing his tasks, guaranteeing an alignment with his goals and deadlines. Our application follows a variation over the Getting Things Done (GTD) methodology but also includes bene ts from other complementary approaches, such as goal cascading and dynamic prioritization.