The chapter presents a framework, called Intuitive Context-Aware Recommender with Explanations (ICARE), that can provide contextual recommendations, together with their explanations, useful to achieve a specific and predefined goal. We apply ICARE in the healthcare scenario to infer personalized recommendations related to the activities (fitness and rest periods) a specific user should follow or avoid in order to obtain a high value for the sleep quality score, also on the base of their current context and the physical activities performed during the past days. We leverage data mining techniques to extract frequent and context-aware sequential rules that can be used both to provide positive and negative recommendations and to explain them.

ICARE: An Intuitive Context-Aware Recommender with Explanations

Oliboni, Barbara
;
Dalla Vecchia, Anna;Quintarelli, Elisa
2023-01-01

Abstract

The chapter presents a framework, called Intuitive Context-Aware Recommender with Explanations (ICARE), that can provide contextual recommendations, together with their explanations, useful to achieve a specific and predefined goal. We apply ICARE in the healthcare scenario to infer personalized recommendations related to the activities (fitness and rest periods) a specific user should follow or avoid in order to obtain a high value for the sleep quality score, also on the base of their current context and the physical activities performed during the past days. We leverage data mining techniques to extract frequent and context-aware sequential rules that can be used both to provide positive and negative recommendations and to explain them.
2023
978-3-031-37305-3
Context-Aware Recommendation Systems, Health Recommendation Systems, Explainable Recommendations, Data mining, Sequential Rules
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1116009
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