Long Papers

• 
  Shlomo Berkovsky, Jill Freyne, Gregory Smith: Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks. 1-13
• 
  Fabian Bohnert, Ingrid Zukerman, David W. Albrecht: Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models. 14-25
• 
  Fabian Bohnert, Ingrid Zukerman, Junaidy Laures: GECKOmmender: Personalised Theme and Tour Recommendations for Museums. 26-37
• 
  Federica Cena, Silvia Likavec, Francesco Osborne: Property-Based Interest Propagation in Ontology-Based User Model. 38-50
• 
  Federico Cirett Galán, Carole R. Beal: EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes. 51-62
• 
  Maunendra Sankar Desarkar, Roopam Saxena, Sudeshna Sarkar: Preference Relation Based Matrix Factorization for Recommender Systems. 63-75
• 
  John Finnson, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas, Robin Cohen: A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow. 76-87
• 
  Qi Gao, Fabian Abel, Geert-Jan Houben, Yong Yu: A Comparative Study of Users' Microblogging Behavior on Sina Weibo and Twitter. 88-101
• 
  Yue Gong, Joseph E. Beck, Carolina Ruiz: Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy. 102-113
• 
  Guibing Guo, Jie Zhang, Daniel Thalmann: A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. 114-125
• 
  Samad Kardan, Cristina Conati: Exploring Gaze Data for Determining User Learning with an Interactive Simulation. 126-138
• 
  Melanie Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell, Lucy Busija, David W. Albrecht, Gwyn Rees: Studies to Determine User Requirements Regarding In-Home Monitoring Systems. 139-150
• 
  Martin Leginus, Peter Dolog, Valdas Zemaitis: Improving Tensor Based Recommenders with Clustering. 151-163
• 
  Janette Lehmann, Mounia Lalmas, Elad Yom-Tov, Georges Dupret: Models of User Engagement. 164-175
• 
  Monika Mandl, Alexander Felfernig: Improving the Performance of Unit Critiquing. 176-187
• 
  Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Mauro Barbieri, Jan H. M. Korst, Verus Pronk, Ramon Clout: Enhanced Semantic TV-Show Representation for Personalized Electronic Program Guides. 188-199
• 
  Vidhya Navalpakkam, Ravi Kumar, Lihong Li, D. Sivakumar: Attention and Selection in Online Choice Tasks. 200-211
• 
  Ingrid Nunes, Simon Miles, Michael Luck, Carlos José Pereira de Lucena: Investigating Explanations to Justify Choice. 212-224
• 
  Luiz Augusto Sangoi Pizzato, Joshua Akehurst, Cameron Silvestrini, Kalina Yacef, Irena Koprinska, Judy Kay: The Effect of Suspicious Profiles on People Recommenders. 225-236
• 
  Alan Said, Brijnesh J. Jain, Sascha Narr, Till Plumbaum: Users and Noise: The Magic Barrier of Recommender Systems. 237-248
• 
  Michael A. Sao Pedro, Ryan Shaun Joazeiro de Baker, Janice D. Gobert: Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information. 249-260
• 
  Jianqiang Shen, Oliver Brdiczka, Nicolas Ducheneaut, Nicholas Yee, Bo Begole: Inferring Personality of Online Gamers by Fusing Multiple-View Predictions. 261-273
• 
  Dereck Tocker, Cristina Conati, Giuseppe Carenini, Mona Haraty: Towards Adaptive Information Visualization: On the Influence of User Characteristics. 274-285
• 
  Michael Wixon, Ryan Shaun Joazeiro de Baker, Janice D. Gobert, Jaclyn Ocumpaugh, Matthew Bachmann: WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously. 286-296

Short Papers

• 
  Matt Dennis, Judith Masthoff, Chris Mellish: Adapting Performance Feedback to a Learner's Conscientiousness. 297-302
• 
  John Hannon, Kevin McCarthy, Michael P. O'Mahony, Barry Smyth: A Multi-faceted User Model for Twitter. 303-309
• 
  Tsvi Kuflik, Alan J. Wecker, Federica Cena, Cristina Gena: Evaluating Rating Scales Personality. 310-315
• 
  Luc Paquette, Jean-François Lebeau, André Mayers: Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors. 316-321
• 
  David H. Shanabrook, Ivon Arroyo, Beverly Park Woolf: Using Touch as a Predictor of Effort: What the iPad Can Tell Us about User Affective State. 322-327
• 
  Amit Tiroshi, Tsvi Kuflik: Domain Ranking for Cross Domain Collaborative Filtering. 328-333
• 
  Rainer Wasinger, Michael Fry, Judy Kay, Bob Kummerfeld: User Modelling Ecosystems: A User-Centred Approach. 334-339
• 
  Diego Zapata-Rivera: Adaptive Score Reports. 340-345

Doctoral Consortium

• 
  Behzad Beheshti, Michel Desmarais: Improving Matrix Factorization Techniques of Student Test Data with Partial Order Constraints. 346-350
• 
  Florian Berger: Evaluating an Implementation of an Adaptive Game-Based Learning Architecture. 351-355
• 
  Blandine Ginon: Towards a Generic Model for User Assistance. 356-360
• 
  Guibing Guo: Resolving Data Sparsity and Cold Start in Recommender Systems. 361-364
• 
  Samad Kardan: Data Mining for Adding Adaptive Interventions to Exploratory and Open-Ended Environments. 365-368
• 
  Luca Longo: Formalising Human Mental Workload as Non-monotonic Concept for Adaptive and Personalised Web-Design. 369-373
• 
  Ante Odic: Detecting, Acquiring and Exploiting Contextual Information in Personalized Services. 374-377
• 
  Fabrizio Orlandi: Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web. 378-381
• 
  Ladislav Peska: User Feedback and Preferences Mining. 382-386
• 
  Hilal Tarakçi, Nihan Kesim Cicekli: Ubiquitous Fuzzy User Modeling for Multi-application Environments by Mining Socially Enhanced Online Traces. 387-390
• 
  Annie T. T. Ying: Facilitating Code Example Search on the Web through Expertise Personalization. 391-394

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