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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
Attention for Chapter 27: Cross-Domain Recommender Systems
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Citations

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577 Dimensions

Readers on

mendeley
172 Mendeley
Summary Dimensions citations
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Chapter title
Cross-Domain Recommender Systems
Chapter number 27
Book title
Recommender Systems Handbook
Published by
Springer US, January 2015
DOI 10.1007/978-1-4899-7637-6_27
Book ISBNs
978-1-4899-7636-9, 978-1-4899-7637-6
Authors

Iván Cantador, Ignacio Fernández-Tobías, Shlomo Berkovsky, Paolo Cremonesi, Cantador, Iván, Fernández-Tobías, Ignacio, Berkovsky, Shlomo, Cremonesi, Paolo

Editors

Francesco Ricci, Lior Rokach, Bracha Shapira

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
Italy 1 <1%
Austria 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
India 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 163 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 24%
Student > Master 30 17%
Researcher 13 8%
Student > Bachelor 9 5%
Professor > Associate Professor 9 5%
Other 25 15%
Unknown 45 26%
Readers by discipline Count As %
Computer Science 100 58%
Business, Management and Accounting 7 4%
Engineering 4 2%
Physics and Astronomy 2 1%
Decision Sciences 2 1%
Other 5 3%
Unknown 52 30%

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