User Modeling Based on Emergent Domain Semantics

摘要

In this paper we present an approach to user modeling based on the domain model that we generate automatically by resource (text) content processing and analysis of associated tags from a social annotation service. User's interests are modeled by overlaying the domain model - via keywords extracted from resource's (text) content, and tags assigned by the user or other (similar) users. The user model is derived automatically. We combine content- and tag-based approaches, shifting our approach beyond flat "folksonomical" representation of user interests to involve relationships between both keywords and tags.