User Modeling, Adaptation, and Personalization

Table of Contents

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   Book Overview
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   Chapter 1 Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks
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   Chapter 2 Realistic Simulation of Museum Visitors’ Movements as a Tool for Assessing Sensor-Based User Models
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   Chapter 3 GECKOmmender: Personalised Theme and Tour Recommendations for Museums
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   Chapter 4 Property-Based Interest Propagation in Ontology-Based User Model
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   Chapter 5 EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes
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   Chapter 6 Preference Relation Based Matrix Factorization for Recommender Systems
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   Chapter 7 A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow
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   Chapter 8 A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter
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    Chapter 9 Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
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    Chapter 10 A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems
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    Chapter 11 Exploring Gaze Data for Determining User Learning with an Interactive Simulation
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    Chapter 12 Studies to Determine User Requirements Regarding In-Home Monitoring Systems
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    Chapter 13 Improving Tensor Based Recommenders with Clustering
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    Chapter 14 Models of User Engagement
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    Chapter 15 Improving the Performance of Unit Critiquing
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    Chapter 16 Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides
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    Chapter 17 Attention and Selection in Online Choice Tasks
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    Chapter 18 Investigating Explanations to Justify Choice
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    Chapter 19 The Effect of Suspicious Profiles on People Recommenders
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    Chapter 20 Users and Noise: The Magic Barrier of Recommender Systems
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    Chapter 21 Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information
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    Chapter 22 Inferring Personality of Online Gamers by Fusing Multiple-View Predictions
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    Chapter 23 Towards Adaptive Information Visualization: On the Influence of User Characteristics
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    Chapter 24 WTF? detecting students who are conducting inquiry without thinking fastidiously
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    Chapter 25 User Modeling, Adaptation, and Personalization
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    Chapter 26 A Multi-faceted User Model for Twitter
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    Chapter 27 Evaluating Rating Scales Personality
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    Chapter 28 Automating the Modeling of Learners’ Erroneous Behaviors in Model-Tracing Tutors
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    Chapter 29 Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State
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    Chapter 30 User Modeling, Adaptation, and Personalization
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    Chapter 31 User Modeling, Adaptation, and Personalization
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    Chapter 32 Adaptive Score Reports
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    Chapter 33 Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints
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    Chapter 34 Evaluating an Implementation of an Adaptive Game-Based Learning Architecture
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    Chapter 35 Towards a Generic Model for User Assistance
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    Chapter 36 Resolving Data Sparsity and Cold Start in Recommender Systems
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    Chapter 37 Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments
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    Chapter 38 Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design
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    Chapter 39 Detecting, Acquiring and Exploiting Contextual Information in Personalized Services
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    Chapter 40 Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web
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    Chapter 41 User Feedback and Preferences Mining
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    Chapter 42 Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces
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    Chapter 43 Facilitating Code Example Search on the Web through Expertise Personalization