Preface to the special issue on news personalization and analytics.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 921, doi. 10.1007/s11257-024-09415-z
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Works matching IS 0924-1868 AND VI 34 AND IP 4 AND DT 2024
Results: 18
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A deep neural network approach for fake news detection using linguistic and psychological features.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1043, doi. 10.1007/s11257-024-09413-1
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3
Examining the merits of feature-specific similarity functions in the news domain using human judgments.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 995, doi. 10.1007/s11257-024-09412-2
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4
SNRBERT: session-based news recommender using BERT.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1071, doi. 10.1007/s11257-024-09409-x
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5
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 925, doi. 10.1007/s11257-024-09405-1
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6
Generalisable sensor-free frustration detection in online learning environments using machine learning.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1493, doi. 10.1007/s11257-024-09402-4
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7
Large-scale evaluation of cold-start mitigation in adaptive fact learning: Knowing "what" matters more than knowing "who".
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1467, doi. 10.1007/s11257-024-09401-5
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8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1431, doi. 10.1007/s11257-024-09400-6
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9
Improving selection diversity using hybrid graph-based news recommenders.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 955, doi. 10.1007/s11257-024-09399-w
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10
Personalized recommendations for learning activities in online environments: a modular rule-based approach.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1399, doi. 10.1007/s11257-024-09396-z
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11
Federated privacy-preserving collaborative filtering for on-device next app prediction.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1369, doi. 10.1007/s11257-024-09395-0
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12
Personalization of industrial human–robot communication through domain adaptation based on user feedback.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1327, doi. 10.1007/s11257-024-09394-1
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13
Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1283, doi. 10.1007/s11257-024-09393-2
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14
Modeling of anticipation using instance-based learning: application to automation surprise in aviation using passive BCI and eye-tracking data.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1251, doi. 10.1007/s11257-024-09392-3
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15
Informative representations for forgetting-robust knowledge tracing.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1227, doi. 10.1007/s11257-024-09391-4
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16
Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1175, doi. 10.1007/s11257-023-09390-x
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17
Twenty-Five Years of Bayesian knowledge tracing: a systematic review.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1127, doi. 10.1007/s11257-023-09389-4
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18
Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0.
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- User Modeling & User-Adapted Interaction, 2024, v. 34, n. 4, p. 1087, doi. 10.1007/s11257-023-09387-6
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- Article