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Preference Learning

Overview of attention for book
Cover of 'Preference Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Preference Learning: An Introduction
  3. Altmetric Badge
    Chapter 2 A Preference Optimization Based Unifying Framework for Supervised Learning Problems
  4. Altmetric Badge
    Chapter 3 Label Ranking Algorithms: A Survey
  5. Altmetric Badge
    Chapter 4 Preference Learning and Ranking by Pairwise Comparison
  6. Altmetric Badge
    Chapter 5 Decision Tree Modeling for Ranking Data
  7. Altmetric Badge
    Chapter 6 Co-Regularized Least-Squares for Label Ranking
  8. Altmetric Badge
    Chapter 7 A Survey on ROC-based Ordinal Regression
  9. Altmetric Badge
    Chapter 8 Ranking Cases with Classification Rules
  10. Altmetric Badge
    Chapter 9 A Survey and Empirical Comparison of Object Ranking Methods
  11. Altmetric Badge
    Chapter 10 Dimension Reduction for Object Ranking
  12. Altmetric Badge
    Chapter 11 Learning of Rule Ensembles for Multiple Attribute Ranking Problems
  13. Altmetric Badge
    Chapter 12 Learning Lexicographic Preference Models
  14. Altmetric Badge
    Chapter 13 Learning Ordinal Preferences on Multiattribute Domains: The Case of CP-nets
  15. Altmetric Badge
    Chapter 14 Choice-Based Conjoint Analysis: Classification vs. Discrete Choice Models
  16. Altmetric Badge
    Chapter 15 Learning Aggregation Operators for Preference Modeling
  17. Altmetric Badge
    Chapter 16 Evaluating Search Engine Relevance with Click-Based Metrics
  18. Altmetric Badge
    Chapter 17 Learning SVM Ranking Functions from User Feedback Using Document Metadata and Active Learning in the Biomedical Domain
  19. Altmetric Badge
    Chapter 18 Learning Preference Models in Recommender Systems
  20. Altmetric Badge
    Chapter 19 Collaborative Preference Learning
  21. Altmetric Badge
    Chapter 20 Discerning Relevant Model Features in a Content-based Collaborative Recommender System
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
127 Dimensions

Readers on

mendeley
279 Mendeley
citeulike
1 CiteULike
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Title
Preference Learning
Published by
ADS, January 2011
DOI 10.1007/978-3-642-14125-6
ISBNs
978-3-64-214124-9, 978-3-64-214125-6
Editors

Johannes Fürnkranz, Eyke Hüllermeier

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 3%
France 4 1%
Netherlands 2 <1%
Switzerland 2 <1%
Belgium 2 <1%
Slovenia 2 <1%
Cuba 1 <1%
Australia 1 <1%
Brazil 1 <1%
Other 11 4%
Unknown 246 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 30%
Student > Master 42 15%
Researcher 41 15%
Student > Doctoral Student 16 6%
Student > Bachelor 13 5%
Other 48 17%
Unknown 35 13%
Readers by discipline Count As %
Computer Science 149 53%
Engineering 30 11%
Psychology 9 3%
Economics, Econometrics and Finance 8 3%
Business, Management and Accounting 6 2%
Other 32 11%
Unknown 45 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 January 2021.
All research outputs
#4,564,533
of 22,997,544 outputs
Outputs from ADS
#4,425
of 37,430 outputs
Outputs of similar age
#30,155
of 181,645 outputs
Outputs of similar age from ADS
#99
of 752 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,430 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 181,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 752 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.