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User Modeling, Adaption and Personalization

Overview of attention for book
Cover of 'User Modeling, Adaption and Personalization'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Analyzing User Modeling on Twitter for Personalized News Recommendations
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    Chapter 2 Ensembling Predictions of Student Knowledge within Intelligent Tutoring Systems
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    Chapter 3 User Modeling, Adaption and Personalization
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    Chapter 4 Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects
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    Chapter 5 Modeling Mental Workload Using EEG Features for Intelligent Systems
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    Chapter 6 Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited
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    Chapter 7 Performance Comparison of Item-to-Item Skills Models with the IRT Single Latent Trait Model
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    Chapter 8 Hybrid User Preference Models for Second Life and OpenSimulator Virtual Worlds
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    Chapter 9 Recipe Recommendation: Accuracy and Reasoning
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    Chapter 10 Tag-Based Resource Recommendation in Social Annotation Applications
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    Chapter 11 The Impact of Rating Scales on User’s Rating Behavior
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    Chapter 12 Looking Beyond Transfer Models: Finding Other Sources of Power for Student Models
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    Chapter 13 Using Browser Interaction Data to Determine Page Reading Behavior
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    Chapter 14 A User Interface for Semantic Competence Profiles
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    Chapter 15 Open Social Student Modeling: Visualizing Student Models with Parallel IntrospectiveViews
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    Chapter 16 Location-Adapted Music Recommendation Using Tags
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    Chapter 17 Leveraging Collaborative Filtering to Tag-Based Personalized Search
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    Chapter 18 Modelling Symmetry of Activity as an Indicator of Collocated Group Collaboration
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    Chapter 19 A Dynamic Sliding Window Approach for Activity Recognition
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    Chapter 20 Early Detection of Potential Experts in Question Answering Communities
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    Chapter 21 KT-IDEM: Introducing Item Difficulty to the Knowledge Tracing Model
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    Chapter 22 Walk the Talk
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    Chapter 23 Finding Someone You Will Like and Who Won’t Reject You
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    Chapter 24 User Modeling, Adaption and Personalization
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    Chapter 25 Recognising and Recommending Context in Social Web Search
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    Chapter 26 Tags as Bridges between Domains: Improving Recommendation with Tag-Induced Cross-Domain Collaborative Filtering
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    Chapter 27 User Modeling – A Notoriously Black Art
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    Chapter 28 Selecting Items of Relevance in Social Network Feeds
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    Chapter 29 Enhancing Traditional Local Search Recommendations with Context-Awareness
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    Chapter 30 Gender Differences and the Value of Choice in Intelligent Tutoring Systems
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    Chapter 31 Towards Understanding How Humans Teach Robots
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    Chapter 32 Towards Open Corpus Adaptive Hypermedia: A Study of Novelty Detection Approaches
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    Chapter 33 4MALITY: Coaching Students with Different Problem-Solving Strategies Using an Online Tutoring System
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    Chapter 34 Capitalizing on Uncertainty, Diversity and Change by Online Individualization of Functionality
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    Chapter 35 Prediction of Socioeconomic Levels Using Cell Phone Records
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    Chapter 36 User Perceptions of Adaptivity in an Interactive Narrative
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    Chapter 37 Performance Prediction in Recommender Systems
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    Chapter 38 Multi-perspective Context Modelling to Augment Adaptation in Simulated Learning Environments
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    Chapter 39 Situation Awareness in Neurosurgery: A User Modeling Approach
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    Chapter 40 Adaptive Active Learning in Recommender Systems
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    Chapter 41 Extending Sound Sample Descriptions through the Extraction of Community Knowledge
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    Chapter 42 Monitoring Contributions Online: A Reputation System to Model Expertise in Online Communities
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    Chapter 43 Student Procedural Knowledge Inference through Item Response Theory
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    Chapter 44 Differences on How People Organize and Think about Personal Information
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    Chapter 45 Towards Contextual Search: Social Networks, Short Contexts and Multiple Personas
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    Chapter 46 Using Folksonomies for Building User Interest Profile
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    Chapter 47 Designing Trustworthy Adaptation on Public Displays
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    Chapter 48 Using Adaptive Empathic Responses to Improve Long-Term Interaction with Social Robots
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    Chapter 49 A User Modeling Approach to Support Knowledge Work in Socio-computational Systems
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    Chapter 50 Modeling Individuals with Learning Disabilities to Personalize a Pictogram-Based Instant Messaging Service
  52. Altmetric Badge
    Chapter 51 FamCHAI: An Adaptive Calendar Dialogue System
Overall attention for this book and its chapters
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Mentioned by

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1 policy source
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5 tweeters
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1 Q&A thread

Citations

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Readers on

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268 Mendeley
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Title
User Modeling, Adaption and Personalization
Published by
Springer Science & Business Media, July 2011
DOI 10.1007/978-3-642-22362-4
ISBNs
978-3-64-222361-7, 978-3-64-222362-4
Editors

Joseph A. Konstan, Ricardo Conejo, José L. Marzo, Nuria Oliver

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 268 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 1%
Student > Ph. D. Student 3 1%
Researcher 1 <1%
Unknown 260 97%
Readers by discipline Count As %
Computer Science 5 2%
Physics and Astronomy 1 <1%
Engineering 1 <1%
Unknown 261 97%