KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies
Pages 720 - 721
Abstract
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Index Terms
- KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies
Recommendations
Content-Independent Task-Focused Recommendation
Recommender systems, also known as collaborative filtering systems, predict a user's current interest in unseen items based on ratings or recommendations from other people. Users are typically asked to rate items (such as movies) that they have already ...
KA-Recsys: Patient Focused Knowledge Appropriate Health Recommender System
UMAP '22: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and PersonalizationPatients with chronic diseases, such as diabetes, cancer, and heart disease, actively participate in disease management and seek health information on a constant basis for decision-making and self management. Patient focused health recommender systems (...
KA-Recsys: Patient Focused Knowledge Appropriate Health Recommender System
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalChronic disease patients, such as diabetics, cancer patients, and heart disease patients, actively seek health information for self-management and decision-making every single day. Patient focused health recommender systems (PHRSs) that suggest health ...
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September 2022
743 pages
ISBN:9781450392785
DOI:10.1145/3523227
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- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Published: 13 September 2022
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