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Recommender Systems Handbook

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Cover of 'Recommender Systems Handbook'

Table of Contents

  1. Altmetric Badge
    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 12: Panorama of Recommender Systems to Support Learning
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Chapter title
Panorama of Recommender Systems to Support Learning
Chapter number 12
Book title
Recommender Systems Handbook
Published by
Springer US, November 2015
DOI 10.1007/978-1-4899-7637-6_12
Book ISBNs
978-1-4899-7636-9, 978-1-4899-7637-6
Authors

Hendrik Drachsler, Katrien Verbert, Olga C. Santos, Nikos Manouselis

Editors

Francesco Ricci, Lior Rokach, Bracha Shapira

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Croatia 1 2%
Spain 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Student > Master 12 23%
Professor > Associate Professor 4 8%
Student > Bachelor 4 8%
Lecturer 3 6%
Other 6 11%
Unknown 10 19%
Readers by discipline Count As %
Computer Science 22 42%
Social Sciences 5 9%
Business, Management and Accounting 3 6%
Engineering 3 6%
Psychology 1 2%
Other 2 4%
Unknown 17 32%