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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 Opinion-Driven Matrix Factorization for Rating Prediction
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    Chapter 2 Interaction Based Content Recommendation in Online Communities
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    Chapter 3 User Modeling, Adaptation, and Personalization
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    Chapter 4 A Framework for Trust-Based Multidisciplinary Team Recommendation
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    Chapter 5 Semantic Aggregation and Zooming of User Viewpoints in Social Media Content
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    Chapter 6 Learning Likely Locations
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    Chapter 7 User Modeling, Adaptation, and Personalization
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    Chapter 8 Days of Our Lives: Assessing Day Similarity from Location Traces
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    Chapter 9 Studying the Effect of Human Cognition on User Authentication Tasks
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    Chapter 10 Modeling a Graph Viewer’s Effort in Recognizing Messages Conveyed by Grouped Bar Charts
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    Chapter 11 Evaluation of Attention Levels in a Tetris Game Using a Brain Computer Interface
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    Chapter 12 Monitoring Personal Safety by Unobtrusively Detecting Unusual Periods of Inactivity
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    Chapter 13 Recommendation with Differential Context Weighting
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    Chapter 14 Exploiting the Semantic Similarity of Contextual Situations for Pre-filtering Recommendation
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    Chapter 15 Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites
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    Chapter 16 Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour
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    Chapter 17 Predicting Successful Inquiry Learning in a Virtual Performance Assessment for Science
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    Chapter 18 Comparing and Combining Eye Gaze and Interface Actions for Determining User Learning with an Interactive Simulation
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    Chapter 19 Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning
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    Chapter 20 Recommending Topics for Web Curation
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    Chapter 21 Building Rich User Search Queries Profiles
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    Chapter 22 Inform or Flood: Estimating When Retweets Duplicate
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    Chapter 23 Predicting Users’ Preference from Tag Relevance
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    Chapter 24 Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications
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    Chapter 25 User Modeling, Adaptation, and Personalization
  27. Altmetric Badge
    Chapter 26 Personalized Access to Scientific Publications: from Recommendation to Explanation
  28. Altmetric Badge
    Chapter 27 PoliSpell: An Adaptive Spellchecker and Predictor for People with Dyslexia
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    Chapter 28 A Framework for Privacy-Aware User Data Trading
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    Chapter 29 Understanding Email Writers: Personality Prediction from Email Messages
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    Chapter 30 Modeling Emotions with Social Tags
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    Chapter 31 Unobtrusive Monitoring of Knowledge Workers for Stress Self-regulation
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    Chapter 32 Topolor: A Social Personalized Adaptive E-Learning System
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    Chapter 33 RES: A Personalized Filtering Tool for CiteSeerX Queries Based on Keyphrase Extraction
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    Chapter 34 Generating a Personalized UI for the Car: A User-Adaptive Rendering Architecture
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    Chapter 35 Eliciting Affective Recommendations to Support Distance Learning Students
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    Chapter 36 Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles
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    Chapter 37 Modelling Users’ Affect in Job Interviews: Technological Demo
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    Chapter 38 Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval
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    Chapter 39 A Prismatic Cognitive Layout for Adapting Ontologies
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    Chapter 40 Evaluation of Cross-Domain News Article Recommendations
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    Chapter 41 Suggesting Query Revisions in Conversational Recommender Systems
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    Chapter 42 Mining Semantic Data, User Generated Contents, and Contextual Information for Cross-Domain Recommendation
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    Chapter 43 A POV-Based User Model: From Learning Preferences to Learning Personal Ontologies
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    Chapter 44 Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study
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    Chapter 45 Inclusive Personalized e-Learning Based on Affective Adaptive Support
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    Chapter 46 Tabbed Browsing Behavior as a Source for User Modeling
  48. Altmetric Badge
    Chapter 47 Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators
  49. Altmetric Badge
    Chapter 48 Enforcing Privacy in Secondary User Information Sharing and Usage
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    Chapter 49 Modeling Programming Skills of Students in an Educational Recommender System
  51. Altmetric Badge
    Chapter 50 Socially Adaptive Electronic Partners for Socio-geographical Support
  52. Altmetric Badge
    Chapter 51 An Adaptive Spellchecker and Predictor for People with Dyslexia
Attention for Chapter 3: User Modeling, Adaptation, and Personalization
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

4 Wikipedia pages


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Readers on

66 Mendeley
1 CiteULike
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Chapter title
User Modeling, Adaptation, and Personalization
Chapter number 3
Book title
User Modeling, Adaptation, and Personalization
Published in
Lecture notes in computer science, June 2013
DOI 10.1007/978-3-642-38844-6_3
Book ISBNs
978-3-64-238843-9, 978-3-64-238844-6

Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin


Sandra Carberry, Stephan Weibelzahl, Alessandro Micarelli, Giovanni Semeraro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Poland 1 2%
Belgium 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 27%
Student > Ph. D. Student 13 20%
Researcher 8 12%
Student > Bachelor 5 8%
Professor > Associate Professor 4 6%
Other 12 18%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 38 58%
Business, Management and Accounting 6 9%
Social Sciences 4 6%
Engineering 3 5%
Economics, Econometrics and Finance 2 3%
Other 3 5%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 January 2024.
All research outputs
of 22,947,506 outputs
Outputs from Lecture notes in computer science
of 8,133 outputs
Outputs of similar age
of 198,032 outputs
Outputs of similar age from Lecture notes in computer science
of 126 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 198,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.