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Titlebook: User Modeling, Adaption, and Personalization; 21th International C Sandra Carberry,Stephan Weibelzahl,Giovanni Semera Conference proceeding

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Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivityusive monitoring devices. This paper introduces a statistical model based on non-intrusive sensor observations that posits whether a person is . safe by identifying unusually long periods of inactivity within different regions in the home. Evaluation on two real-life datasets shows that our system outperforms a state-of-the-art system.
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Conference proceedings 2013. The papers cover the following topics: recommender systems, student modeling, social media and teams, human cognition, personality, privacy, web curation and user profiles, travel and mobile applications, and systems for elderly and disabled individuals.
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Opinion-Driven Matrix Factorization for Rating Predictionre computed from users’ explicit feedback, i.e. their ratings provided on some items in the past. Another type of feedback are user reviews provided on items which implicitly express users’ opinions on items. Recent studies indicate that opinions inferred from users’ reviews on items are strong pred
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A Framework for Trust-Based Multidisciplinary Team Recommendations of a team have performed, and leverage this knowledge to guide future team formation. In this work we propose a model for assessing the reputation of participants in collaborative teams. The model takes into account several features such as the different skills that a participant has and the feedb
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