User modeling, adaptation, and personalization : 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013, Proceedings

This book constitutes the thoroughly refereed proceedings of the 21st International Conference on User Modeling, Adaption, and Personalization, held in Rome, Italy, in June 2013. The 21 long and 7 short papers of the research paper track were carefully reviewed and selected from numerous submissions. 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. Front Matter....Pages - Opinion-Driven Matrix Factorization for Rating Prediction....Pages 1-13 Interaction Based Content Recommendation in Online Communities....Pages 14-24 What Recommenders Recommend – An Analysis of Accuracy, Popularity, and Sales Diversity Effects....Pages 25-37 A Framework for Trust-Based Multidisciplinary Team Recommendation....Pages 38-50 Semantic Aggregation and Zooming of User Viewpoints in Social Media Content....Pages 51-63 Learning Likely Locations....Pages 64-76 Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications....Pages 77-88 Days of Our Lives: Assessing Day Similarity from Location Traces....Pages 89-101 Studying the Effect of Human Cognition on User Authentication Tasks....Pages 102-113 Modeling a Graph Viewer’s Effort in Recognizing Messages Conveyed by Grouped Bar Charts....Pages 114-126 Evaluation of Attention Levels in a Tetris Game Using a Brain Computer Interface....Pages 127-138 Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity....Pages 139-151 Recommendation with Differential Context Weighting....Pages 152-164 Exploiting the Semantic Similarity of Contextual Situations for Pre-filtering Recommendation....Pages 165-177 Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites....Pages 178-189 Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour....Pages 190-202 Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science....Pages 203-214 Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation....Pages 215-227 Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning....Pages 228-241 Recommending Topics for Web Curation....Pages 242-253 Building Rich User Search Queries Profiles....Pages 254-266 Inform or Flood: Estimating When Retweets Duplicate....Pages 267-273 Predicting Users’ Preference from Tag Relevance....Pages 274-280 Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications....Pages 281-288 Cross-Domain Collaborative Recommendation in a Cold-Start Context: The Impact of User Profile Size on the Quality of Recommendation....Pages 289-295 Personalized Access to Scientific Publications: from Recommendation to Explanation....Pages 296-301 PoliSpell: An Adaptive Spellchecker and Predictor for People with Dyslexia....Pages 302-309 A Framework for Privacy-Aware User Data Trading....Pages 310-317 Understanding Email Writers: Personality Prediction from Email Messages....Pages 318-330 Modeling Emotions with Social Tags....Pages 331-334 Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation....Pages 335-337 Topolor: A Social Personalized Adaptive E-Learning System....Pages 338-340 RES: A Personalized Filtering Tool for CiteSeerX Queries Based on Keyphrase Extraction....Pages 341-343 Generating a Personalized UI for the Car: A User-Adaptive Rendering Architecture....Pages 344-346 Eliciting Affective Recommendations to Support Distance Learning Students....Pages 347-349 Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles....Pages 350-352 Modelling Users’ Affect in Job Interviews: Technological Demo....Pages 353-355 Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval....Pages 356-358 A Prismatic Cognitive Layout for Adapting Ontologies....Pages 359-362 Evaluation of Cross-Domain News Article Recommendations....Pages 363-366 Suggesting Query Revisions in Conversational Recommender Systems....Pages 367-370 Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation....Pages 371-375 A POV-Based User Model: From Learning Preferences to Learning Personal Ontologies....Pages 376-379 Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study....Pages 380-383 Inclusive Personalized e-Learning Based on Affective Adaptive Support....Pages 384-387 Tabbed Browsing Behavior as a Source for User Modeling....Pages 388-391 Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators....Pages 392-395 Enforcing Privacy in Secondary User Information Sharing and Usage....Pages 396-400 Modeling Programming Skills of Students in an Educational Recommender System....Pages 401-404 Socially Adaptive Electronic Partners for Socio-geographical Support....Pages 405-408 An Adaptive Spellchecker and Predictor for People with Dyslexia....Pages 409-413 Back Matter....Pages -