Works matching IS 09241868 AND DT 2024 AND VI 34 AND IP 2
Results: 6
Digitally nudging users to explore off-profile recommendations: here be dragons.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 441, doi. 10.1007/s11257-023-09378-7
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- Article
"Tell Me Why": using natural language justifications in a recipe recommender system to support healthier food choices.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 407, doi. 10.1007/s11257-023-09377-8
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- Article
Modeling users' heterogeneous taste with diversified attentive user profiles.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 375, doi. 10.1007/s11257-023-09376-9
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- Article
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 323, doi. 10.1007/s11257-023-09374-x
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- Article
One size does not fit all: detecting attention in children with autism using machine learning.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 259, doi. 10.1007/s11257-023-09371-0
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- Article
Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 2, p. 293, doi. 10.1007/s11257-023-09373-y
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- Article