A technique for preference ordering for advice generation in an intelligent help system

This paper presents the way that a technique for preference ordering has been applied for advice generation in an intelligent graphical user interface. The graphical user interface is called I-Mailer and helps users while sending and receiving messages or during the organisation of their mailbox. In order to achieve that, I-Mailer constantly reasons about every user action in terms of the user's goals and plans. In case the user is involved in a problematic situation, it transforms the user's problematic action and generates alternative actions that are better than the problematic one in the context of the user's hypothesized intentions. In order to select the best alternative action to present to the user it uses the technique for order preference by similarity to ideal solution (TOPSIS). TOPSIS is used in I-Mailer in order to find which alternative action is closest to an ideal alternative and propose it to the user.