Detecting innovative topics based on user-interest ontology

In this paper, we detect "innovative topics", those that are new and hopefully interesting to the user. We try to expand user interests significantly by letting the user browse those topics. We first generate user-interest ontologies that allow user profiles to be constructed as a hierarchy of classes where a user interest weight is assigned to each class and instance. Next, we measure the similarity between user interests by using interest weights on their user-interest ontologies and generate user group G_U that has high similarity to user u. The innovative topics for u are then detected by determining a suitable size of G_U and analyzing the ontologies in G_U.