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18. UMAP 2010: Big Island, HI, USA
- Paul De Bra, Alfred Kobsa, David N. Chin:
User Modeling, Adaptation, and Personalization, 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010. Proceedings. Lecture Notes in Computer Science 6075, Springer 2010, ISBN 978-3-642-13469-2
Keynote Speakers
- Stacy Marsella:
Modeling Emotion and Its Expression in Virtual Humans. 1-2 - Edward Y. Chang:
AdHeat - An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads. 3
Full Research Papers
- Jae-wook Ahn, Peter Brusilovsky:
Can Concept-Based User Modeling Improve Adaptive Visualization? 4-15 - Fabian Abel, Nicola Henze, Eelco Herder, Daniel Krause:
Interweaving Public User Profiles on the Web. 16-27 - Ryen W. White, Ashish Kapoor, Susan T. Dumais:
Modeling Long-Term Search Engine Usage. 28-39 - Christophe Senot, Dimitre Kostadinov, Makram Bouzid, Jérôme Picault, Armen Aghasaryan, Cédric Bernier:
Analysis of Strategies for Building Group Profiles. 40-51 - Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Sujith M. Gowda, Angela Z. Wagner, Benjamin A. MacLaren, Linda R. Kauffman, Aaron P. Mitchell, Stephen Giguere:
Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor. 52-63 - Nikos Tsianos, Panagiotis Germanakos, Zacharias Lekkas, Costas Mourlas, George Samaras:
Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners' Performance. 64-74 - Tobias Ley, Barbara Kump, Cornelia Gerdenitsch:
Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations. 75-86 - Junzo Kamahara, Takashi Nagamatsu, Masashi Tada, Yohei Kaieda, Yutaka Ishii:
Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail. 87-98 - Fabian Bohnert, Ingrid Zukerman:
A User-and Item-Aware Weighting Scheme for Combining Predictive User Models. 99-110 - Simon Gerber, Michael Fry, Judy Kay, Bob Kummerfeld, Glen Pink, Rainer Wasinger:
PersonisJ: Mobile, Client-Side User Modelling. 111-122 - Justin Tang, Donald J. Patterson:
Twitter, Sensors and UI: Robust Context Modeling for Interruption Management. 123-134 - David G. Cooper, Kasia Muldner, Ivon Arroyo, Beverly Park Woolf, Winslow Burleson:
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems. 135-146 - Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan:
Inducing Effective Pedagogical Strategies Using Learning Context Features. 147-158 - Kasia Muldner, Winslow Burleson, Kurt VanLehn:
"Yes!": Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities. 159-170 - Mariam Daoud, Lynda Tamine, Mohand Boughanem:
A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile. 171-182 - Shawn R. Wolfe, Yi Zhang:
Interaction and Personalization of Criteria in Recommender Systems. 183-194 - Yanir Seroussi, Ingrid Zukerman, Fabian Bohnert:
Collaborative Inference of Sentiments from Texts. 195-206 - Grant Pannell, Helen Ashman:
User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System. 207-218 - Fedor Bakalov, Birgitta König-Ries, Andreas Nauerz, Martin Welsch:
IntrospectiveViews: An Interface for Scrutinizing Semantic User Models. 219-230 - Styliani Kleanthous, Vania Dimitrova:
Analyzing Community Knowledge Sharing Behavior. 231-242 - Eduardo Guzmán, Ricardo Conejo, Jaime Gálvez:
A Data-Driven Technique for Misconception Elicitation. 243-254 - Zachary A. Pardos, Neil T. Heffernan:
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing. 255-266 - Ryan Shaun Joazeiro de Baker, Antonija Mitrovic, Moffat Mathews:
Detecting Gaming the System in Constraint-Based Tutors. 267-278 - Aaditeshwar Seth, Jie Zhang, Robin Cohen:
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media. 279-290 - Rong Hu, Pearl Pu:
A Study on User Perception of Personality-Based Recommender Systems. 291-302 - Armelle Brun, Anne Boyer, Liana Razmerita:
Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling. 303-314
Industry Papers
- Philipp Fischer, Andreas Nürnberger:
myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling. 315-326 - Heath Hohwald, Enrique Frías-Martínez, Nuria Oliver:
User Modeling for Telecommunication Applications: Experiences and Practical Implications. 327-338 - Daniel Olmedilla, Enrique Frías-Martínez, Rubén Lara:
Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users. 339-350 - Suzana Kordumova, Ivana Kostadinovska, Mauro Barbieri, Verus Pronk, Jan H. M. Korst:
Personalized Implicit Learning in a Music Recommender System. 351-362
Short Research Papers
- Fabian Bohnert, Ingrid Zukerman:
Personalised Pathway Prediction. 363-368 - Federica Cena, Fabiana Vernero, Cristina Gena:
Towards a Customization of Rating Scales in Adaptive Systems. 369-374 - Li Chen, Pearl Pu:
Eye-Tracking Study of User Behavior in Recommender Interfaces. 375-380 - Jill Freyne, Shlomo Berkovsky:
Recommending Food: Reasoning on Recipes and Ingredients. 381-386 - Tomás Kramár, Michal Barla, Mária Bieliková:
Disambiguating Search by Leveraging a Social Context Based on the Stream of User's Activity. 387-392 - Susan Bull:
Features of an Independent Open Learner Model Influencing Uptake by University Students. 393-398
Doctoral Consortium Papers
- David G. Cooper:
Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems. 399-402 - Yanir Seroussi:
Utilising User Texts to Improve Recommendations. 403-406 - Till Plumbaum:
Semantically-Enhanced Ubiquitous User Modeling. 407-410 - Marián Simko, Mária Bieliková:
User Modeling Based on Emergent Domain Semantics. 411-414 - Ana Boa-Ventura, Luís Saboga-Nunes:
"Biographic spaces": A Personalized Smoking Cessation Intervention in Second Life. 415-418 - Charlie Abela, Chris Staff, Siegfried Handschuh:
Task-Based User Modelling for Knowledge Work Support. 419-422 - Johanna Renny Octavia, Karin Coninx, Chris Raymaekers:
Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques. 423-426
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