Browsing Computer Science by Subject "Recommender systems"
Now showing items 1-4 of 4
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A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”
(Elsevier, 2020-03)Owing to the rapid increase of user data and development of machine learning techniques, user modeling has been explored in depth and exploited by both academia and industry. It has prominent impacts in e-commercerelated ... -
A general-purpose protocol for multi-agent based explanations
(Springer, 2023)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ... -
Metrics for evaluating explainable recommender systems
(Springer, 2023)Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ... -
Towards interactive explanation-based nutrition virtual coaching systems
(Springer, 2024-01)The awareness about healthy lifestyles is increasing, opening to personalized intelligent health coaching applications. A demand for more than mere suggestions and mechanistic interactions has driven attention to nutrition ...
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