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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
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    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
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    Chapter 4 Semantics-Aware Content-Based Recommender Systems
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    Chapter 5 Constraint-Based Recommender Systems
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    Chapter 6 Context-Aware Recommender Systems
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    Chapter 7 Data Mining Methods for Recommender Systems
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    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
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    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
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    Chapter 24 Active Learning in Recommender Systems
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    Chapter 25 Multi-Criteria Recommender Systems
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    Chapter 26 Novelty and Diversity in Recommender Systems
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    Chapter 27 Cross-Domain Recommender Systems
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    Chapter 28 Robust Collaborative Recommendation
Attention for Chapter 18: Human Decision Making and Recommender Systems
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Chapter title
Human Decision Making and Recommender Systems
Chapter number 18
Book title
Recommender Systems Handbook
Published by
Springer US, January 2015
DOI 10.1007/978-1-4899-7637-6_18
Book ISBNs
978-1-4899-7636-9, 978-1-4899-7637-6
Authors

Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Li Chen, Jameson, Anthony, Willemsen, Martijn C., Felfernig, Alexander, Gemmis, Marco de, Lops, Pasquale, Semeraro, Giovanni, Chen, Li

Editors

Francesco Ricci, Lior Rokach, Bracha Shapira

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
United States 1 <1%
Unknown 101 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Student > Master 18 17%
Student > Bachelor 14 13%
Researcher 11 11%
Professor > Associate Professor 4 4%
Other 14 13%
Unknown 19 18%
Readers by discipline Count As %
Computer Science 53 51%
Business, Management and Accounting 5 5%
Psychology 4 4%
Unspecified 3 3%
Engineering 3 3%
Other 10 10%
Unknown 26 25%