User Modeling, Adaptation, and Personalization 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings

User Modeling, Adaptation, and Personalization 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010, Proceedings / edited by Paul De Bra, Alfred Kobsa, David Chin.

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: De Bra, Paul (Editor), Kobsa, Alfred (Editor), Chin, David (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 6075
Springer eBook Collection.
Subjects:
Data mining.
Application software.
Database management.
Information storage and retrieval.
Artificial intelligence.
User interfaces (Computer systems).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Keynote Speakers
  • Modeling Emotion and Its Expression in Virtual Humans
  • AdHeat — An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads
  • Full Research Papers
  • Can Concept-Based User Modeling Improve Adaptive Visualization?
  • Interweaving Public User Profiles on the Web
  • Modeling Long-Term Search Engine Usage
  • Analysis of Strategies for Building Group Profiles
  • Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor
  • Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance
  • Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations
  • Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail
  • A User-and Item-Aware Weighting Scheme for Combining Predictive User Models
  • PersonisJ: Mobile, Client-Side User Modelling
  • Twitter, Sensors and UI: Robust Context Modeling for Interruption Management
  • Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
  • Inducing Effective Pedagogical Strategies Using Learning Context Features
  • “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities
  • A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile
  • Interaction and Personalization of Criteria in Recommender Systems
  • Collaborative Inference of Sentiments from Texts
  • User Modelling for Exclusion and Anomaly Detection: A Behavioural Intrusion Detection System
  • IntrospectiveViews: An Interface for Scrutinizing Semantic User Models
  • Analyzing Community Knowledge Sharing Behavior
  • A Data-Driven Technique for Misconception Elicitation
  • Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
  • Detecting Gaming the System in Constraint-Based Tutors
  • Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
  • A Study on User Perception of Personality-Based Recommender Systems
  • Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling
  • Industry Papers
  • myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling
  • User Modeling for Telecommunication Applications: Experiences and Practical Implications
  • Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users
  • Personalized Implicit Learning in a Music Recommender System
  • Short Research Papers
  • Personalised Pathway Prediction
  • Towards a Customization of Rating Scales in Adaptive Systems
  • Eye-Tracking Study of User Behavior in Recommender Interfaces
  • Recommending Food: Reasoning on Recipes and Ingredients
  • Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity
  • Features of an Independent Open Learner Model Influencing Uptake by University Students
  • Doctoral Consortium Papers
  • Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems
  • Utilising User Texts to Improve Recommendations
  • Semantically-Enhanced Ubiquitous User Modeling
  • User Modeling Based on Emergent Domain Semantics
  • “Biographic spaces”: A Personalized Smoking Cessation Intervention in Second Life
  • Task-Based User Modelling for Knowledge Work Support
  • Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques.

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