Principles of artificial intelligence
Principles of artificial intelligence
Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Fab: content-based, collaborative recommendation
Communications of the ACM
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
SmartTutor: an intelligent tutoring system in web-based adult education
Journal of Systems and Software
Personalized Digital Television: Targeting Programs to Individual Viewers (Human-Computer Interaction Series, 6)
A survey and analysis of Electronic Healthcare Record standards
ACM Computing Surveys (CSUR)
A collaborative filtering framework based on fuzzy association rules and multiple-level similarity
Knowledge and Information Systems
A Six-valued Logic to Reason about Uncertainty and Inconsistency in Requirements Specifications
Journal of Logic and Computation
A target advertisement system based on TV viewer's profile reasoning
Multimedia Tools and Applications
Personalized and mobile digital TV applications
Multimedia Tools and Applications
Multimedia Tools and Applications
Provision of distance learning services over Interactive Digital TV with MHP
Computers & Education
Representation of context-dependant knowledge in ontologies: A model and an application
Expert Systems with Applications: An International Journal
Multimedia Tools and Applications
MiSPOT: dynamic product placement for digital TV through MPEG-4 processing and semantic reasoning
Knowledge and Information Systems
Modeling the multiple people that are me
UM'03 Proceedings of the 9th international conference on User modeling
AVATAR: an improved solution for personalized TV based on semantic inference
IEEE Transactions on Consumer Electronics
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Recommender systems have been around for several years in Digital TV scenarios as tools intended to discover items that are likely to be of interest for the viewers, as inferred from profiles that gather information about TV programs they watch or commercial products they purchase. In this paper, we introduce electronic health records as a new dimension of the viewer profiles, enabling a number of features that may have a significant impact in the field of interactive services to the home. This proposal brings in contributions related to (i) designing architectures and procedures to prevent the disclosure or guessing of sensitive health-related data, (ii) enabling access to information stored in standards-compliant EHR repositories from DTV set-top boxes, and (iii) refining the recommendation logic to reckon the enabling/disabling nature of such data.