Titlebook: User Modeling, Adaptation and Personalization; 23rd International C Francesco Ricci,Kalina Bontcheva,Séamus Lawless Conference proceedings

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Francesco Ricci,Kalina Bontcheva,Séamus LawlessIncludes supplementary material:

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MOOClm: User Modelling for MOOCsnt learner models that can drive personalisation and support reuse of the learner model, for example in an Open Learner Model (OLM). We describe the MOOClm architecture and demonstrate how we have used it to build OLMs.

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User Modeling, Adaptation and Personalization978-3-319-20267-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Exploring the Potential of User Modeling Based on Mind Maps higher CTR of 7.20% could be achieved. A user study confirmed the high effectiveness of the mind map specific approach with an average rating of 3.23 (out of 5), compared to a rating of 2.53 for the best baseline. Our research shows that mind map-specific user modeling has a high potential, and we

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Gifting as a Novel Mechanism for Personalized Museum and Gallery Interpretationheir interpersonal knowledge of one another. Our findings suggest that the deep level of personalization generated by our approach can create rich, engaging and socially coherent visits that allow visitors to achieve a balance of goals. We conclude by discussing the broader implications of our findi

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Supporting Cross-Device Web Search with Social Navigation-Based Mobile Touch Interactionsgregates MTIs from other users who visit the same page. To demonstrate the effectiveness of our proposed approach, we designed a user study to collect cross-device web search logs on three different types of tasks from 24 participants and then compared our approach with two baselines: a traditional

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