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User Modeling, Adaptation, and Personalization

20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings

  • Conference proceedings
  • © 2012

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Editors:
  1. Judith Masthoff

    1. University of Aberdeen, Department of Computing Science, UK

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  2. Bamshad Mobasher

    1. Center for Web Intelligence, School of Computing, DePaul University, Chicago, 60604

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  3. Michel C. Desmarais

    1. Polytechnique Montréal, Montréal, Canada

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  4. Roger Nkambou

    1. Dept. of Computer Sciences, University of Quebec in Montreal, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7379)

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

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Conference proceedings info: UMAP 2012.

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About this book

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.

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Table of contents (43 papers)

  1. Front Matter

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  2. Long Papers

    1. Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks

      • Shlomo Berkovsky, Jill Freyne, Gregory Smith
      Pages 1-13

    2. Realistic Simulation of Museum Visitors’ Movements as a Tool for Assessing Sensor-Based User Models

      • Fabian Bohnert, Ingrid Zukerman, David W. Albrecht
      Pages 14-25

    3. GECKOmmender: Personalised Theme and Tour Recommendations for Museums

      • Fabian Bohnert, Ingrid Zukerman, Junaidy Laures
      Pages 26-37

    4. Property-Based Interest Propagation in Ontology-Based User Model

      • Federica Cena, Silvia Likavec, Francesco Osborne
      Pages 38-50

    5. EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes

      • Federico Cirett Galán, Carole R. Beal
      Pages 51-62

    6. Preference Relation Based Matrix Factorization for Recommender Systems

      • Maunendra Sankar Desarkar, Roopam Saxena, Sudeshna Sarkar
      Pages 63-75

    7. A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow

      • John Finnson, Jie Zhang, Thomas Tran, Umar Farooq Minhas, Robin Cohen
      Pages 76-87

    8. A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter

      • Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yu
      Pages 88-101

    9. Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy

      • Yue Gong, Joseph E. Beck, Carolina Ruiz
      Pages 102-113

    10. A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems

      • Guibing Guo, Jie Zhang, Daniel Thalmann
      Pages 114-125

    11. Exploring Gaze Data for Determining User Learning with an Interactive Simulation

      • Samad Kardan, Cristina Conati
      Pages 126-138

    12. Studies to Determine User Requirements Regarding In-Home Monitoring Systems

      • Melanie Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell, Lucy Busija, David W. Albrecht et al.
      Pages 139-150

    13. Improving Tensor Based Recommenders with Clustering

      • Martin Leginus, Peter Dolog, Valdas Žemaitis
      Pages 151-163

    14. Models of User Engagement

      • Janette Lehmann, Mounia Lalmas, Elad Yom-Tov, Georges Dupret
      Pages 164-175

    15. Improving the Performance of Unit Critiquing

      • Monika Mandl, Alexander Felfernig
      Pages 176-187

    16. Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides

      • Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri et al.
      Pages 188-199

    17. Attention and Selection in Online Choice Tasks

      • Vidhya Navalpakkam, Ravi Kumar, Lihong Li, D. Sivakumar
      Pages 200-211

    18. Investigating Explanations to Justify Choice

      • Ingrid Nunes, Simon Miles, Michael Luck, Carlos J. P. de Lucena
      Pages 212-224

    19. The Effect of Suspicious Profiles on People Recommenders

      • Luiz Augusto Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef, Irena Koprinska, Judy Kay
      Pages 225-236
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Other volumes

  1. User Modeling, Adaptation, and Personalization

Editors and Affiliations

  • University of Aberdeen, Department of Computing Science, UK

    Judith Masthoff

  • Center for Web Intelligence, School of Computing, DePaul University, Chicago, 60604

    Bamshad Mobasher

  • Polytechnique Montréal, Montréal, Canada

    Michel C. Desmarais

  • Dept. of Computer Sciences, University of Quebec in Montreal, Canada

    Roger Nkambou

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