Book Volume 7899 2013

User Modeling, Adaptation, and Personalization

21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings

ISBN: 978-3-642-38843-9 (Print) 978-3-642-38844-6 (Online)

Table of contents (51 chapters)

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  1. Front Matter

    Pages -

  2. Full Research Papers

    1. Chapter

      Pages 1-13

      Opinion-Driven Matrix Factorization for Rating Prediction

    2. Chapter

      Pages 14-24

      Interaction Based Content Recommendation in Online Communities

    3. Chapter

      Pages 25-37

      What Recommenders Recommend – An Analysis of Accuracy, Popularity, and Sales Diversity Effects

    4. Chapter

      Pages 38-50

      A Framework for Trust-Based Multidisciplinary Team Recommendation

    5. Chapter

      Pages 51-63

      Semantic Aggregation and Zooming of User Viewpoints in Social Media Content

    6. Chapter

      Pages 64-76

      Learning Likely Locations

    7. Chapter

      Pages 77-88

      Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications

    8. Chapter

      Pages 89-101

      Days of Our Lives: Assessing Day Similarity from Location Traces

    9. Chapter

      Pages 102-113

      Studying the Effect of Human Cognition on User Authentication Tasks

    10. Chapter

      Pages 114-126

      Modeling a Graph Viewer’s Effort in Recognizing Messages Conveyed by Grouped Bar Charts

    11. Chapter

      Pages 127-138

      Evaluation of Attention Levels in a Tetris Game Using a Brain Computer Interface

    12. Chapter

      Pages 139-151

      Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity

    13. Chapter

      Pages 152-164

      Recommendation with Differential Context Weighting

    14. Chapter

      Pages 165-177

      Exploiting the Semantic Similarity of Contextual Situations for Pre-filtering Recommendation

    15. Chapter

      Pages 178-189

      Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites

    16. Chapter

      Pages 190-202

      Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour

    17. Chapter

      Pages 203-214

      Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science

    18. Chapter

      Pages 215-227

      Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation

    19. Chapter

      Pages 228-241

      Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning

    20. Chapter

      Pages 242-253

      Recommending Topics for Web Curation

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