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User Modeling, Adaption, and Personalization

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

  • Conference proceedings
  • © 2013

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Editors:
  1. Sandra Carberry

    1. Department of Computer and Information Science, University of Delaware, Delaware, USA

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  2. Stephan Weibelzahl

    1. School of Computing, National College of Ireland, Dublin 1, Ireland

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  3. Alessandro Micarelli

    1. Dipartimento di Ingegneria, Roma Tre University, Rome, Italy

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  4. Giovanni Semeraro

    1. Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7899)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Conference proceedings info: UMAP 2013.

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Table of contents (51 papers)

  1. Front Matter

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  2. Full Research Papers

    1. Opinion-Driven Matrix Factorization for Rating Prediction

      • Å tefan Pero, Tomáš Horváth
      Pages 1-13

    2. Interaction Based Content Recommendation in Online Communities

      • Surya Nepal, Cécile Paris, Payam Aghaei Pour, Jill Freyne, Sanat Kumar Bista
      Pages 14-24

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

      • Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin
      Pages 25-37

    4. A Framework for Trust-Based Multidisciplinary Team Recommendation

      • Lorenzo Bossi, Stefano Braghin, Anwitaman Datta, Alberto Trombetta
      Pages 38-50

    5. Semantic Aggregation and Zooming of User Viewpoints in Social Media Content

      • Dimoklis Despotakis, Vania Dimitrova, Lydia Lau, Dhavalkumar Thakker
      Pages 51-63

    6. Learning Likely Locations

      • John Krumm, Rich Caruana, Scott Counts
      Pages 64-76

    7. Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications

      • Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmer et al.
      Pages 77-88

    8. Days of Our Lives: Assessing Day Similarity from Location Traces

      • James Biagioni, John Krumm
      Pages 89-101

    9. Studying the Effect of Human Cognition on User Authentication Tasks

      • Marios Belk, Panagiotis Germanakos, Christos Fidas, George Samaras
      Pages 102-113

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

      • Richard Burns, Sandra Carberry, Stephanie Elzer Schwartz
      Pages 114-126

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

      • Georgios Patsis, Hichem Sahli, Werner Verhelst, Olga De Troyer
      Pages 127-138

    12. Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity

      • Masud Moshtaghi, Ingrid Zukerman, David Albrecht, R. Andrew Russell
      Pages 139-151

    13. Recommendation with Differential Context Weighting

      • Yong Zheng, Robin Burke, Bamshad Mobasher
      Pages 152-164

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

      • Victor Codina, Francesco Ricci, Luigi Ceccaroni
      Pages 165-177

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

      • Alexandre Spaeth, Michel C. Desmarais
      Pages 178-189

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

      • Nava Tintarev, Matt Dennis, Judith Masthoff
      Pages 190-202

    17. Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science

      • Ryan S. J. D. Baker, Jody Clarke-Midura
      Pages 203-214

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

      • Samad Kardan, Cristina Conati
      Pages 215-227

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

      • Jennifer Sabourin, Bradford Mott, James Lester
      Pages 228-241
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About this book

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.

Editors and Affiliations

  • Department of Computer and Information Science, University of Delaware, Delaware, USA

    Sandra Carberry

  • School of Computing, National College of Ireland, Dublin 1, Ireland

    Stephan Weibelzahl

  • Dipartimento di Ingegneria, Roma Tre University, Rome, Italy

    Alessandro Micarelli

  • Department of Computer Science, University of Bari Aldo Moro, Bari, Italy

    Giovanni Semeraro

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