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Home > User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings > Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings |
Judith Masthoff; Bamshad Mobasher; Michel Desmarais; Roger Nkambou
Springer Berlin Heidelberg
User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012 Proceedings
Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
Authors

Yue Gong; Joseph E. Beck; Carolina Ruiz

ARI Id

1664707626797_2836471

Access

Not Available Free

Pages

102-113

DOI

10.1007/978-3-642-31454-4_9

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-31454-4_9

Table of Contents of Book
Showing 1 to 20 of 45 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks
Shlomo Berkovsky; Jill Freyne; Gregory Smith
1-13
Realistic Simulation of Museum Visitors’ Movements as a Tool for Assessing Sensor-Based User Models
Fabian Bohnert; Ingrid Zukerman; David W. Albrecht
14-25
GECKOmmender: Personalised Theme and Tour Recommendations for Museums
Fabian Bohnert; Ingrid Zukerman; Junaidy Laures
26-37
Property-Based Interest Propagation in Ontology-Based User Model
Federica Cena; Silvia Likavec; Francesco Osborne
38-50
EEG Estimates of Engagement and Cognitive Workload Predict Math Problem Solving Outcomes
Federico Cirett Galán; Carole R. Beal
51-62
Preference Relation Based Matrix Factorization for Recommender Systems
Maunendra Sankar Desarkar; Roopam Saxena; Sudeshna Sarkar
63-75
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
76-87
A Comparative Study of Users’ Microblogging Behavior on Sina Weibo and Twitter
Qi Gao; Fabian Abel; Geert-Jan Houben; Yong Yu
88-101
Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy
Yue Gong; Joseph E. Beck; Carolina Ruiz
102-113
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems
Guibing Guo; Jie Zhang; Daniel Thalmann
114-125
Exploring Gaze Data for Determining User Learning with an Interactive Simulation
Samad Kardan; Cristina Conati
126-138
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.
139-150
Improving Tensor Based Recommenders with Clustering
Martin Leginus; Peter Dolog; Valdas Žemaitis
151-163
Models of User Engagement
Janette Lehmann; Mounia Lalmas; Elad Yom-Tov; Georges Dupret
164-175
Improving the Performance of Unit Critiquing
Monika Mandl; Alexander Felfernig
176-187
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.
188-199
Attention and Selection in Online Choice Tasks
Vidhya Navalpakkam; Ravi Kumar; Lihong Li; D. Sivakumar
200-211
Investigating Explanations to Justify Choice
Ingrid Nunes; Simon Miles; Michael Luck; Carlos J. P. de Lucena
212-224
The Effect of Suspicious Profiles on People Recommenders
Luiz Augusto Pizzato; Joshua Akehurst; Cameron Silvestrini; Kalina Yacef; Irena Koprinska; Judy Kay
225-236
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 45 entries
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