Semantic Web Personalization
Papers from the AAAI Workshop
Bamshad Mobasher, Sarabjot Singh Anand, Bettina Berendt, and Andreas Hotho, Program Cochairs
Over the years, personalization and recommendation technologies have been developed that use web mining and similar technologies to harvest shallow patterns hidden within masses of transactional, navigational, and content-structural data that are useful for presenting product recommendations and the likes. Without the benefit of deeper semantic or ontological knowledge about the underlying domain, personalization systems cannot handle heterogeneous and complex objects based on their properties and relationships. Nor can these systems possess the ability to automatically explain or reason about the user models or user recommendations. The Semantic Web Personalization workshop aims to bring together researchers and practitioners from the two rapidly developing research areas: semantic web and web intelligence. The aim is to improve the results of web personalization by exploiting the new semantic structures in the web, and by incorporating AI techniques that take advantage of existing, learned, or extracted ontological knowledge.