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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
  38. Altmetric Badge
    Chapter 37 Exploiting Item and User Relationships for Recommender Systems
Attention for Chapter 16: MobiScore: Towards Universal Credit Scoring from Mobile Phone Data
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Chapter title
MobiScore: Towards Universal Credit Scoring from Mobile Phone Data
Chapter number 16
Book title
User Modeling, Adaptation and Personalization
Published by
Springer International Publishing, June 2015
DOI 10.1007/978-3-319-20267-9_16
Book ISBNs
978-3-31-920266-2, 978-3-31-920267-9
Authors

Jose San Pedro, Davide Proserpio, Nuria Oliver

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 4 14%
Student > Bachelor 4 14%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Other 7 25%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 14 50%
Economics, Econometrics and Finance 4 14%
Business, Management and Accounting 3 11%
Unspecified 1 4%
Mathematics 1 4%
Other 1 4%
Unknown 4 14%