Learning User Preferences by Satisfying Knowledge Goals

Tamara Babaian

We present a novel approach to software customization that uses a logic-based PSIPLAN language to rep- resent personal information and specify the task of personalization as a set of knowledge goals. The method uses automated planning and execution of plans as the means to satisfy personalization goals. Thus learning is carried as a process of achieving information goals via reasoning and executing information gathering plans that may include direct user querying. The advantages of the approach are discussed and illustrated by examples from the Writer’s Aid application.

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