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Recommender Systems

Overview of attention for book
Cover of 'Recommender Systems'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Recommender Systems
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    Chapter 2 Neighborhood-Based Collaborative Filtering
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    Chapter 3 Model-Based Collaborative Filtering
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    Chapter 4 Content-Based Recommender Systems
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    Chapter 5 Knowledge-Based Recommender Systems
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    Chapter 6 Ensemble-Based and Hybrid Recommender Systems
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    Chapter 7 Evaluating Recommender Systems
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    Chapter 8 Context-Sensitive Recommender Systems
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    Chapter 9 Time- and Location-Sensitive Recommender Systems
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    Chapter 10 Structural Recommendations in Networks
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    Chapter 11 Social and Trust-Centric Recommender Systems
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    Chapter 12 Attack-Resistant Recommender Systems
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    Chapter 13 Advanced Topics in Recommender Systems
Attention for Chapter 2: Neighborhood-Based Collaborative Filtering
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Citations

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1016 Dimensions

Readers on

mendeley
27 Mendeley
Summary Dimensions citations
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Chapter title
Neighborhood-Based Collaborative Filtering
Chapter number 2
Book title
Recommender Systems
Published by
Springer International Publishing, March 2016
DOI 10.1007/978-3-319-29659-3_2
Book ISBNs
978-3-31-929657-9, 978-3-31-929659-3
Authors

Charu C. Aggarwal, Aggarwal, Charu C.

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Ph. D. Student 4 15%
Researcher 3 11%
Lecturer 2 7%
Student > Bachelor 2 7%
Other 2 7%
Unknown 7 26%
Readers by discipline Count As %
Computer Science 11 41%
Engineering 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Social Sciences 1 4%
Business, Management and Accounting 1 4%
Other 2 7%
Unknown 7 26%

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