Learning Scrutable User Models: Inducing Conceptual Descriptions
Martin Müller · 2002
The problem of filtering relevant information from the huge amount of available data is tackled by using models of the user's interest in order to discriminate interesting information from un-interesting data. As a consequence, Machine Learning for User Modeling (Ml4Um) has become a key technique in recent adaptive systems. This article