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Recommender Systems Handbook

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Cover of 'Recommender Systems Handbook'

Table of Contents

  1. Altmetric Badge
    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 1: Introduction to Recommender Systems Handbook
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Mentioned by

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1 policy source
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2 Wikipedia pages

Citations

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1376 Dimensions

Readers on

mendeley
1176 Mendeley
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13 CiteULike
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Chapter title
Introduction to Recommender Systems Handbook
Chapter number 1
Book title
Recommender Systems Handbook
Published by
Springer, Boston, MA, January 2011
DOI 10.1007/978-0-387-85820-3_1
Book ISBNs
978-0-387-85819-7, 978-0-387-85820-3
Authors

Francesco Ricci, Lior Rokach, Bracha Shapira, Ricci, Francesco, Rokach, Lior, Shapira, Bracha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 9 <1%
Germany 6 <1%
Brazil 6 <1%
Canada 4 <1%
France 3 <1%
United Kingdom 3 <1%
United States 2 <1%
India 2 <1%
China 2 <1%
Other 12 1%
Unknown 1127 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 256 22%
Student > Ph. D. Student 165 14%
Student > Bachelor 155 13%
Researcher 84 7%
Student > Doctoral Student 38 3%
Other 144 12%
Unknown 334 28%
Readers by discipline Count As %
Computer Science 540 46%
Engineering 81 7%
Business, Management and Accounting 56 5%
Economics, Econometrics and Finance 20 2%
Social Sciences 20 2%
Other 87 7%
Unknown 372 32%