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Home > User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings > User Modeling for Telecommunication Applications: Experiences and Practical Implications
User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings |
Paul De Bra; Alfred Kobsa; David Chin
Springer Berlin Heidelberg
User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings
User Modeling for Telecommunication Applications: Experiences and Practical Implications
Authors

Heath Hohwald; Enrique Frías-Martínez; Nuria Oliver

ARI Id

1664909141877_4030532

Access

Not Available Free

Pages

327-338

DOI

10.1007/978-3-642-13470-8_30

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-13470-8_30

Table of Contents of Book
Showing 1 to 20 of 47 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Modeling Emotion and Its Expression in Virtual Humans
Stacy Marsella
1-2
AdHeat — An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads
Edward Y. Chang
3-3
Can Concept-Based User Modeling Improve Adaptive Visualization?
Jae-wook Ahn; Peter Brusilovsky
4-15
Interweaving Public User Profiles on the Web
Fabian Abel; Nicola Henze; Eelco Herder; Daniel Krause
16-27
Modeling Long-Term Search Engine Usage
Ryen W. White; Ashish Kapoor; Susan T. Dumais
28-39
Analysis of Strategies for Building Group Profiles
Christophe Senot; Dimitre Kostadinov; Makram Bouzid; Jérôme Picault; Armen Aghasaryan; Cédric Bernier
40-51
Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor
Ryan S. J. d. Baker; Albert T. Corbett; Sujith M. Gowda; Angela Z. Wagner; Benjamin A. MacLaren; Linda R. Kauffman et al.
52-63
Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance
Nikos Tsianos; Panagiotis Germanakos; Zacharias Lekkas; Costas Mourlas; George Samaras
64-74
Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations
Tobias Ley; Barbara Kump; Cornelia Gerdenitsch
75-86
Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail
Junzo Kamahara; Takashi Nagamatsu; Masashi Tada; Yohei Kaieda; Yutaka Ishii
87-98
A User-and Item-Aware Weighting Scheme for Combining Predictive User Models
Fabian Bohnert; Ingrid Zukerman
99-110
PersonisJ: Mobile, Client-Side User Modelling
Simon Gerber; Michael Fry; Judy Kay; Bob Kummerfeld; Glen Pink; Rainer Wasinger
111-122
Twitter, Sensors and UI: Robust Context Modeling for Interruption Management
Justin Tang; Donald J. Patterson
123-134
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
David G. Cooper; Kasia Muldner; Ivon Arroyo; Beverly Park Woolf; Winslow Burleson
135-146
Inducing Effective Pedagogical Strategies Using Learning Context Features
Min Chi; Kurt VanLehn; Diane Litman; Pamela Jordan
147-158
“Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities
Kasia Muldner; Winslow Burleson; Kurt VanLehn
159-170
A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile
Mariam Daoud; Lynda Tamine; Mohand Boughanem
171-182
Interaction and Personalization of Criteria in Recommender Systems
Shawn R. Wolfe; Yi Zhang
183-194
Collaborative Inference of Sentiments from Texts
Yanir Seroussi; Ingrid Zukerman; Fabian Bohnert
195-206
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 47 entries
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