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We present an architecture for a Personal Health Recommender System (PHRS) that begins with a person's personal electronic health record (PEHR) and augments it by combining crowdsourced data mined for symptoms, diseases, treatments and best practices, together with authoritative sources and curated domain ontologies. This novel approach is patient-centric in that the PEHR contains the patient's health...
The purpose of this article is to describe the performance related features of our tag recommending Web service. The service is one of several systems currently integrated with multiplexing recommender framework for Bibsonomy.org bookmarking portal. The framework was introduced during ECML PKDD Discovery Challenge 2009. Due to good balance between speed and quality of our recommendations we managed...
Automatic discovery of Web services is a crucial task for e-business communities. Locating and selecting "the best" Web service from a vast number of similar services that matches the user's requirements and preferences is a cognitive challenge and requires the use of an intelligent decision making framework. This paper develops a flexible ontological architecture and framework for semantic...
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