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Recommender Systems Handbook

Overview of attention for book
Cover of 'Recommender Systems Handbook'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Recommender Systems: Introduction and Challenges
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    Chapter 2 A Comprehensive Survey of Neighborhood-Based Recommendation Methods
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    Chapter 3 Advances in Collaborative Filtering
  5. Altmetric Badge
    Chapter 4 Semantics-Aware Content-Based Recommender Systems
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    Chapter 5 Constraint-Based Recommender Systems
  7. Altmetric Badge
    Chapter 6 Context-Aware Recommender Systems
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    Chapter 7 Data Mining Methods for Recommender Systems
  9. Altmetric Badge
    Chapter 8 Evaluating Recommender Systems
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    Chapter 9 Evaluating Recommender Systems with User Experiments
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    Chapter 10 Explaining Recommendations: Design and Evaluation
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    Chapter 11 Recommender Systems in Industry: A Netflix Case Study
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    Chapter 12 Panorama of Recommender Systems to Support Learning
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    Chapter 13 Music Recommender Systems
  15. Altmetric Badge
    Chapter 14 The Anatomy of Mobile Location-Based Recommender Systems
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    Chapter 15 Social Recommender Systems
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    Chapter 16 People-to-People Reciprocal Recommenders
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    Chapter 17 Collaboration, Reputation and Recommender Systems in Social Web Search
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    Chapter 18 Human Decision Making and Recommender Systems
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    Chapter 19 Privacy Aspects of Recommender Systems
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    Chapter 20 Source Factors in Recommender System Credibility Evaluation
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    Chapter 21 Personality and Recommender Systems
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    Chapter 22 Group Recommender Systems: Aggregation, Satisfaction and Group Attributes
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    Chapter 23 Aggregation Functions for Recommender Systems
  25. Altmetric Badge
    Chapter 24 Active Learning in Recommender Systems
  26. Altmetric Badge
    Chapter 25 Multi-Criteria Recommender Systems
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    Chapter 26 Novelty and Diversity in Recommender Systems
  28. Altmetric Badge
    Chapter 27 Cross-Domain Recommender Systems
  29. Altmetric Badge
    Chapter 28 Robust Collaborative Recommendation
Attention for Chapter 24: Active Learning in Recommender Systems
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Mentioned by

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1 patent
wikipedia
3 Wikipedia pages

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217 Mendeley
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Chapter title
Active Learning in Recommender Systems
Chapter number 24
Book title
Recommender Systems Handbook
Published by
Springer US, February 2016
DOI 10.1007/978-1-4899-7637-6_24
Book ISBNs
978-1-4899-7636-9, 978-1-4899-7637-6
Authors

Neil Rubens, Mehdi Elahi, Masashi Sugiyama, Dain Kaplan, Rubens, Neil, Elahi, Mehdi, Sugiyama, Masashi, Kaplan, Dain

Editors

Francesco Ricci, Lior Rokach, Bracha Shapira

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Country Count As %
France 3 1%
United States 2 <1%
Canada 2 <1%
Austria 2 <1%
Portugal 1 <1%
Poland 1 <1%
Netherlands 1 <1%
India 1 <1%
Ireland 1 <1%
Other 5 2%
Unknown 198 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 24%
Student > Master 41 19%
Researcher 35 16%
Student > Bachelor 19 9%
Student > Doctoral Student 9 4%
Other 27 12%
Unknown 34 16%
Readers by discipline Count As %
Computer Science 136 63%
Engineering 19 9%
Social Sciences 6 3%
Psychology 4 2%
Business, Management and Accounting 3 1%
Other 10 5%
Unknown 39 18%