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Recommender Systems Handbook

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Cover of 'Recommender Systems Handbook'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Recommender Systems Handbook
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    Chapter 2 Data Mining Methods for Recommender Systems
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    Chapter 3 Content-based Recommender Systems: State of the Art and Trends
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    Chapter 4 A Comprehensive Survey of Neighborhood-based Recommendation Methods
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    Chapter 5 Advances in Collaborative Filtering
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    Chapter 6 Developing Constraint-based Recommenders
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    Chapter 7 Context-Aware Recommender Systems
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    Chapter 8 Evaluating Recommendation Systems
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    Chapter 9 A Recommender System for an IPTV Service Provider: a Real Large-Scale Production Environment
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    Chapter 10 How to Get the Recommender Out of the Lab?
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    Chapter 11 Matching Recommendation Technologies and Domains
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    Chapter 12 Recommender Systems in Technology Enhanced Learning
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    Chapter 13 On the Evolution of Critiquing Recommenders
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    Chapter 14 Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations
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    Chapter 15 Designing and Evaluating Explanations for Recommender Systems
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    Chapter 16 Usability Guidelines for Product Recommenders Based on Example Critiquing Research
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    Chapter 17 Map Based Visualization of Product Catalogs
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    Chapter 18 Communities, Collaboration, and Recommender Systems in Personalized Web Search
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    Chapter 19 Social Tagging Recommender Systems
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    Chapter 20 Trust and Recommendations
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    Chapter 21 Group Recommender Systems: Combining Individual Models
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    Chapter 22 Aggregation of Preferences in Recommender Systems
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    Chapter 23 Active Learning in Recommender Systems
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    Chapter 24 Multi-Criteria Recommender Systems
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    Chapter 25 Robust Collaborative Recommendation
Attention for Chapter 21: Group Recommender Systems: Combining Individual Models
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Citations

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189 Mendeley
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Chapter title
Group Recommender Systems: Combining Individual Models
Chapter number 21
Book title
Recommender Systems Handbook
Published in
ADS, January 2011
DOI 10.1007/978-0-387-85820-3_21
Book ISBNs
978-0-387-85819-7, 978-0-387-85820-3
Authors

Judith Masthoff

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Brazil 2 1%
Switzerland 1 <1%
France 1 <1%
Austria 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Argentina 1 <1%
China 1 <1%
Other 2 1%
Unknown 176 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 26%
Student > Master 33 17%
Researcher 25 13%
Student > Bachelor 17 9%
Student > Doctoral Student 8 4%
Other 25 13%
Unknown 31 16%
Readers by discipline Count As %
Computer Science 118 62%
Business, Management and Accounting 10 5%
Engineering 10 5%
Nursing and Health Professions 2 1%
Psychology 2 1%
Other 12 6%
Unknown 35 19%