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User Modeling, Adaptation and Personalization

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Cover of 'User Modeling, Adaptation and Personalization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Exploring the Potential of User Modeling Based on Mind Maps
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    Chapter 2 Modeling Motivation in a Social Network Game Using Player-Centric Traits and Personality Traits
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    Chapter 3 Automatic Gaze-Based Detection of Mind Wandering with Metacognitive Awareness
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    Chapter 4 The Value of Social: Comparing Open Student Modeling and Open Social Student Modeling
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    Chapter 5 MENTOR: A Physiologically Controlled Tutoring System
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    Chapter 6 Context-Aware User Modeling Strategies for Journey Plan Recommendation
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    Chapter 7 MOOClm: User Modelling for MOOCs
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    Chapter 8 Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance
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    Chapter 9 Analyzing and Predicting Privacy Settings in the Social Web
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    Chapter 10 Counteracting Anchoring Effects in Group Decision Making
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    Chapter 11 Gifting as a Novel Mechanism for Personalized Museum and Gallery Interpretation
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    Chapter 12 User Modeling, Adaptation and Personalization
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    Chapter 13 A Utility Model for Tailoring Sensor Networks to Users
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    Chapter 14 Towards a Recommender Engine for Personalized Visualizations
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    Chapter 15 Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System
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    Chapter 16 MobiScore: Towards Universal Credit Scoring from Mobile Phone Data
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    Chapter 17 Where to Next? A Comparison of Recommendation Strategies for Navigating a Learning Object Repository
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    Chapter 18 Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning
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    Chapter 19 Lessons Learned – 15 Years of Delivering Real-World Pedagogically Driven Courses Using Experimental Platforms
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    Chapter 20 Smartphone Based Stress Prediction
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    Chapter 21 Exploiting Implicit Item Relationships for Recommender Systems
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    Chapter 22 The Mars and Venus Effect: The Influence of User Gender on the Effectiveness of Adaptive Task Support
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    Chapter 23 Quiet Eye Affects Action Detection from Gaze More Than Context Length
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    Chapter 24 User Model in a Box: Cross-System User Model Transfer for Resolving Cold Start Problems
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    Chapter 25 Implicit Acquisition of User Personality for Augmenting Movie Recommendations
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    Chapter 26 Harnessing Engagement for Knowledge Creation Acceleration in Collaborative Q&A Systems
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    Chapter 27 News Recommender Based on Rich Feedback
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    Chapter 28 News Recommenders: Real-Time, Real-Life Experiences
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    Chapter 29 On the Use of Cross-Domain User Preferences and Personality Traits in Collaborative Filtering
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    Chapter 30 Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience
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    Chapter 31 Modelling the User Modelling Community (and Other Communities as Well)
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    Chapter 32 Personality Correlates for Digital Concert Program Notes
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    Chapter 33 Integrating Context Similarity with Sparse Linear Recommendation Model
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    Chapter 34 Modeling Motivational States Through Interpreting Physical Activity Data for Adaptive Robot Companions
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    Chapter 35 Privacy-Enhanced Personalisation of Web Search
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    Chapter 36 From Artifact to Content Source: Using Multimodality in Video to Support Personalized Recomposition
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    Chapter 37 Exploiting Item and User Relationships for Recommender Systems
Attention for Chapter 31: Modelling the User Modelling Community (and Other Communities as Well)
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Chapter title
Modelling the User Modelling Community (and Other Communities as Well)
Chapter number 31
Book title
User Modeling, Adaptation and Personalization
Published by
Springer, Cham, June 2015
DOI 10.1007/978-3-319-20267-9_31
Book ISBNs
978-3-31-920266-2, 978-3-31-920267-9
Authors

Dario De Nart, Dante Degl’Innocenti, Andrea Pavan, Marco Basaldella, Carlo Tasso

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%