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User Modeling, Adaptation, and Personalization

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Cover of 'User Modeling, Adaptation, and Personalization'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling Emotion and Its Expression in Virtual Humans
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    Chapter 2 AdHeat — An Influence-Based Diffusion Model for Propagating Hints to Personalize Social Ads
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    Chapter 3 Can Concept-Based User Modeling Improve Adaptive Visualization?
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    Chapter 4 Interweaving Public User Profiles on the Web
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    Chapter 5 Modeling Long-Term Search Engine Usage
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    Chapter 6 Analysis of Strategies for Building Group Profiles
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    Chapter 7 Contextual Slip and Prediction of Student Performance after Use of an Intelligent Tutor
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    Chapter 8 Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance
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    Chapter 9 Scaffolding Self-directed Learning with Personalized Learning Goal Recommendations
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    Chapter 10 Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail
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    Chapter 11 A User-and Item-Aware Weighting Scheme for Combining Predictive User Models
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    Chapter 12 User Modeling, Adaptation, and Personalization
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    Chapter 13 Twitter, Sensors and UI: Robust Context Modeling for Interruption Management
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    Chapter 14 Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
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    Chapter 15 Inducing Effective Pedagogical Strategies Using Learning Context Features
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    Chapter 16 “Yes!”: Using Tutor and Sensor Data to Predict Moments of Delight during Instructional Activities
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    Chapter 17 A Personalized Graph-Based Document Ranking Model Using a Semantic User Profile
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    Chapter 18 Interaction and Personalization of Criteria in Recommender Systems
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    Chapter 19 Collaborative Inference of Sentiments from Texts
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    Chapter 20 User Modeling, Adaptation, and Personalization
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    Chapter 21 IntrospectiveViews: An Interface for Scrutinizing Semantic User Models
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    Chapter 22 Analyzing Community Knowledge Sharing Behavior
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    Chapter 23 A Data-Driven Technique for Misconception Elicitation
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    Chapter 24 Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
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    Chapter 25 Detecting Gaming the System in Constraint-Based Tutors
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    Chapter 26 Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media
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    Chapter 27 A Study on User Perception of Personality-Based Recommender Systems
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    Chapter 28 Compass to Locate the User Model I Need: Building the Bridge between Researchers and Practitioners in User Modeling
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    Chapter 29 myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling
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    Chapter 30 User Modeling for Telecommunication Applications: Experiences and Practical Implications
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    Chapter 31 Mobile Web Profiling: A Study of Off-Portal Surfing Habits of Mobile Users
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    Chapter 32 Personalized Implicit Learning in a Music Recommender System
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    Chapter 33 Personalised Pathway Prediction
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    Chapter 34 Towards a Customization of Rating Scales in Adaptive Systems
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    Chapter 35 Eye-Tracking Study of User Behavior in Recommender Interfaces
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    Chapter 36 Recommending Food: Reasoning on Recipes and Ingredients
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    Chapter 37 Disambiguating Search by Leveraging a Social Context Based on the Stream of User’s Activity
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    Chapter 38 Features of an Independent Open Learner Model Influencing Uptake by University Students
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    Chapter 39 Recognizing and Predicting the Impact on Human Emotion (Affect) Using Computing Systems
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    Chapter 40 Utilising User Texts to Improve Recommendations
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    Chapter 41 Semantically-Enhanced Ubiquitous User Modeling
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    Chapter 42 User Modeling Based on Emergent Domain Semantics
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    Chapter 43 “Biographic spaces”: A Personalized Smoking Cessation Intervention in Second Life
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    Chapter 44 Task-Based User Modelling for Knowledge Work Support
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    Chapter 45 Enhancing User Interaction in Virtual Environments through Adaptive Personalized 3D Interaction Techniques
Attention for Chapter 38: Features of an Independent Open Learner Model Influencing Uptake by University Students
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Chapter title
Features of an Independent Open Learner Model Influencing Uptake by University Students
Chapter number 38
Book title
User Modeling, Adaptation, and Personalization
Published by
Springer, Berlin, Heidelberg, June 2010
DOI 10.1007/978-3-642-13470-8_38
Book ISBNs
978-3-64-213469-2, 978-3-64-213470-8
Authors

Susan Bull, Bull, Susan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ecuador 1 13%
Austria 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Other 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Professor 1 13%
Other 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Medicine and Dentistry 3 38%
Design 1 13%