Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Communications of the ACM
A vector space model for automatic indexing
Communications of the ACM
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
Information Retrieval: Algorithms and Heuristics (The Kluwer International Series on Information Retrieval)
IEEE Transactions on Knowledge and Data Engineering
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Converting Semi-structured Clinical Medical Records into Information and Knowledge
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Temporal Analysis of the Wikigraph
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Mining Domain-Specific Thesauri from Wikipedia: A Case Study
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Identifying document topics using the Wikipedia category network
Web Intelligence and Agent Systems
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
International Journal of Human-Computer Studies
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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In the future many people in industrialized countries will manage their personal health data electronically in centralized, reliable and trusted repositories - so-called personal health record systems (PHR). At this stage PHR systems still fail to satisfy the individual medical information needs of their users. Personalized recommendations could solve this problem. A first approach of integrating recommender system (RS) methodology into personal health records - termed health recommender system (HRS) - is presented. By exploitation of existing semantic networks like Wikipedia a health graph data structure is obtained. The data kept within such a graph represent health related concepts and are used to compute semantic distances among pairs of such concepts. A ranking procedure based on the health graph is outlined which enables a match between entries of a PHR system and health information artifacts. This way a PHR user will obtain individualized health information he might be interested in.