User Modeling, Adaptation, and Personalization : 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012. Proceedings

Annotation This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization, held in Montreal, Canada, in July 2012. The 22 long and 7 short papers of the Research Paper Track presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on user engagement; trust; user motivation, attention, and effort; recommender systems (including topics such as matrix factorization, critiquing, noise and spam in recommender systems); user centered design and evaluation; educational data mining; modeling learners; user models in microblogging; and visualization. The Industry Paper Track covered innovative commercial implementations or applications of UMAP technologies, and experience in applying recent research advances in practice. 2 long and 1 short papers were accepted of 5 submissions Front Matter....Pages - Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks....Pages 1-13 Realistic Simulation of Museum Visitors’ Movements as a Tool for Assessing Sensor-Based User Models....Pages 14-25 GECKOmmender: Personalised Theme and Tour Recommendations for Museums....Pages 26-37 Property-Based Interest Propagation in Ontology-Based User Model....Pages 38-50 EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes....Pages 51-62 Preference Relation Based Matrix Factorization for Recommender Systems....Pages 63-75 A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow....Pages 76-87 A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter....Pages 88-101 Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy....Pages 102-113 A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems....Pages 114-125 Exploring Gaze Data for Determining User Learning with an Interactive Simulation....Pages 126-138 Studies to Determine User Requirements Regarding In-Home Monitoring Systems....Pages 139-150 Improving Tensor Based Recommenders with Clustering....Pages 151-163 Models of User Engagement....Pages 164-175 Improving the Performance of Unit Critiquing....Pages 176-187 Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides....Pages 188-199 Attention and Selection in Online Choice Tasks....Pages 200-211 Investigating Explanations to Justify Choice....Pages 212-224 The Effect of Suspicious Profiles on People Recommenders....Pages 225-236 Users and Noise: The Magic Barrier of Recommender Systems....Pages 237-248 Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information....Pages 249-260 Inferring Personality of Online Gamers by Fusing Multiple-View Predictions....Pages 261-273 Towards Adaptive Information Visualization: On the Influence of User Characteristics....Pages 274-285 WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously....Pages 286-296 Adapting Performance Feedback to a Learner’s Conscientiousness....Pages 297-302 A Multi-faceted User Model for Twitter....Pages 303-309 Evaluating Rating Scales Personality....Pages 310-315 Automating the Modeling of Learners’ Erroneous Behaviors in Model-Tracing Tutors....Pages 316-321 Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State....Pages 322-327 Domain Ranking for Cross Domain Collaborative Filtering....Pages 328-333 User Modelling Ecosystems: A User-Centred Approach....Pages 334-339 Adaptive Score Reports....Pages 340-345 Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints....Pages 346-350 Evaluating an Implementation of an Adaptive Game-Based Learning Architecture....Pages 351-355 Towards a Generic Model for User Assistance....Pages 356-360 Resolving Data Sparsity and Cold Start in Recommender Systems....Pages 361-364 Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments....Pages 365-368 Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design....Pages 369-373 Detecting, Acquiring and Exploiting Contextual Information in Personalized Services....Pages 374-377 Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web....Pages 378-381 User Feedback and Preferences Mining....Pages 382-386 Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces....Pages 387-390 Facilitating Code Example Search on the Web through Expertise Personalization....Pages 391-394 Back Matter....Pages - This book constitutes the thoroughly refereed proceedings of the 22nd International Conference on User Modeling, Adaption and Personalization, held in Aalborg, Denmark, in July 2014. The papers cover the following topics: large scale personalization, adaptation and recommendation; Personalization for individuals, groups and populations;