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Recommender Systems Handbook

Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
64 X users
patent
24 patents
wikipedia
13 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor
bluesky
1 Bluesky user
podcasts
2 podcasts

Readers on

mendeley
697 Mendeley
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Article details
Title
Recommender Systems Handbook
Published by
Springer US, January 2015
DOI 10.1007/978-1-4899-7637-6
ISBNs
978-1-4899-7636-9, 978-1-4899-7637-6
Editors

Francesco Ricci, Lior Rokach, Bracha Shapira

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 64 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 697 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 697 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 95 14%
Student > Ph. D. Student 80 11%
Student > Bachelor 50 7%
Researcher 31 4%
Student > Doctoral Student 28 4%
Other 47 7%
Unknown 366 53%
Readers by discipline
Readers by discipline Count As %
Computer Science 195 28%
Engineering 38 5%
Business, Management and Accounting 24 3%
Social Sciences 10 1%
Arts and Humanities 7 1%
Other 47 7%
Unknown 376 54%