↓ Skip to main content

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

Mentioned by

1 tweeter


6 Dimensions

Readers on

20 Mendeley
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
User Modeling, Adaption and Personalization
Chapter number 3
Book title
User Modeling, Adaption and Personalization
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22362-4_3
Book ISBNs
978-3-64-222361-7, 978-3-64-222362-4

Joseph A. Konstan, Ricardo Conejo, José L. Marzo, Nuria Oliver, Mike Bennett, Aaron Quigley

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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
Finland 1 5%
Austria 1 5%
United Kingdom 1 5%
Netherlands 1 5%
Unknown 14 70%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 40%
Student > Ph. D. Student 5 25%
Researcher 3 15%
Professor > Associate Professor 2 10%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 14 70%
Engineering 2 10%
Psychology 1 5%
Linguistics 1 5%
Design 1 5%
Other 0 0%
Unknown 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2020.
All research outputs
of 17,367,552 outputs
Outputs from Lecture notes in computer science
of 7,690 outputs
Outputs of similar age
of 270,256 outputs
Outputs of similar age from Lecture notes in computer science
of 198 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.