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User Modeling, Adaptation and Personalization

22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7-11, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Vania Dimitrova

    1. School of Computing, University of Leeds, United Kingdom

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  2. Tsvi Kuflik

    1. University of Haifa, Israel

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  3. David Chin

    1. Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

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  4. Francesco Ricci

    1. Free University of Bozen - Bolzano, Bolzano, Italy

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  5. Peter Dolog

    1. Department of Computer Science, Aalborg University, Aalborg-East, Denmark

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  6. Geert-Jan Houben

    1. EEMCS - Web Information Systems, Delft, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8538)

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

Included in the following conference series:

Conference proceedings info: UMAP 2014.

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Table of contents (47 papers)

  1. Front Matter

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  2. Long Presentations

    1. Modelling Long Term Goals

      • Debjanee Barua, Judy Kay, Bob Kummerfeld, Cécile Paris
      Pages 1-12

    2. A Personalization Method Based on Human Factors for Improving Usability of User Authentication Tasks

      • Marios Belk, Panagiotis Germanakos, Christos Fidas, George Samaras
      Pages 13-24

    3. The Magic Barrier of Recommender Systems – No Magic, Just Ratings

      • Alejandro Bellogín, Alan Said, Arjen P. de Vries
      Pages 25-36

    4. Toward Fully Automated Person-Independent Detection of Mind Wandering

      • Robert Bixler, Sidney D’Mello
      Pages 37-48

    5. Hybrid Recommendation in Heterogeneous Networks

      • Robin Burke, Fatemeh Vahedian, Bamshad Mobasher
      Pages 49-60

    6. Recommendation Based on Contextual Opinions

      • Guanliang Chen, Li Chen
      Pages 61-73

    7. User Partitioning Hybrid for Tag Recommendation

      • Jonathan Gemmell, Bamshad Mobasher, Robin Burke
      Pages 74-85

    8. Predicting User Locations and Trajectories

      • Eelco Herder, Patrick Siehndel, Ricardo Kawase
      Pages 86-97

    9. A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model

      • Noor Ifada, Richi Nayak
      Pages 98-110

    10. Time-Sensitive User Profile for Optimizing Search Personlization

      • Ameni Kacem, Mohand Boughanem, Rim Faiz
      Pages 111-121

    11. A Computational Model for Mood Recognition

      • Christina Katsimerou, Judith A. Redi, Ingrid Heynderickx
      Pages 122-133

    12. Privacy and User Trust in Context-Aware Systems

      • Saskia Koldijk, Gijs Koot, Mark Neerincx, Wessel Kraaij
      Pages 134-145

    13. Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users

      • Pawel Matuszyk, Myra Spiliopoulou
      Pages 146-157

    14. Toward a Personalized Approach for Combining Document Relevance Estimates

      • Bilel Moulahi, Lynda Tamine, Sadok Ben Yahia
      Pages 158-170

    15. Adaptive Support versus Alternating Worked Examples and Tutored Problems: Which Leads to Better Learning?

      • Amir Shareghi Najar, Antonija Mitrovic, Bruce M. McLaren
      Pages 171-182

    16. Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations

      • Ben Steichen, Michael M. A. Wu, Dereck Toker, Cristina Conati, Giuseppe Carenini
      Pages 183-194

    17. Text-Based User-kNN: Measuring User Similarity Based on Text Reviews

      • Maria Terzi, Matthew Rowe, Maria-Angela Ferrario, Jon Whittle
      Pages 195-206

    18. Using DBpedia as a Knowledge Source for Culture-Related User Modelling Questionnaires

      • Dhavalkumar Thakker, Lydia Lau, Ronald Denaux, Vania Dimitrova, Paul Brna, Christina Steiner
      Pages 207-218

    19. Eye Tracking to Understand User Differences in Visualization Processing with Highlighting Interventions

      • Dereck Toker, Cristina Conati
      Pages 219-230
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About this book

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 23 long and 19 short papers of the research paper track were carefully reviewed and selected from 146 submissions. The papers cover the following topics: large scale personalization, adaptation and recommendation; Personalization for individuals, groups and populations; modeling individuals, groups and communities; Web dynamics and personalization; adaptive web-based systems; context awareness; social recommendations; user experience; user awareness and control; Affective aspects; UMAP underpinning by psychology models; privacy; perceived security and trust; behavior change and persuasion.

Editors and Affiliations

  • School of Computing, University of Leeds, United Kingdom

    Vania Dimitrova

  • University of Haifa, Israel

    Tsvi Kuflik

  • Department of Information and Computer Sciences, University of Hawaii, Honolulu, USA

    David Chin

  • Free University of Bozen - Bolzano, Bolzano, Italy

    Francesco Ricci

  • Department of Computer Science, Aalborg University, Aalborg-East, Denmark

    Peter Dolog

  • EEMCS - Web Information Systems, Delft, The Netherlands

    Geert-Jan Houben

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