Title :
Context-aware, ontology-based recommendations
Author :
Räck, Christian ; Arbanowski, Stefan ; Steglich, Stephan
Author_Institution :
Fraunhofer FOKUS, Berlin
Abstract :
In this paper we study the synergy between user behavior, context data, and semantic information in order to enable future services to adapt to different situations based on the recommendations of a service-independent recommender. Therefore, we propose a system that delivers context-aware recommendations, which are based on provided feedback, context data, and an ontology-based content categorization scheme. We provide a detailed overview of the specification, a short description of a possible service scenario and a discussion of the results
Keywords :
information filters; ontologies (artificial intelligence); relevance feedback; context data; context-aware recommendations; ontology-based content categorization; semantic information; user behavior; Algorithm design and analysis; Context modeling; Context-aware services; Ontologies; Prediction algorithms; Prediction methods; Recommender systems; Search engines; Web pages; World Wide Web;
Conference_Titel :
Applications and the Internet Workshops, 2006. SAINT Workshops 2006. International Symposium on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7695-2510-5
DOI :
10.1109/SAINT-W.2006.13
