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Recommender Systems

Overview of attention for book
Cover of 'Recommender Systems'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 1: An Introduction to Recommender Systems
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1079 Dimensions

Readers on

mendeley
183 Mendeley
Summary Wikipedia Dimensions citations
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Chapter title
An Introduction to Recommender Systems
Chapter number 1
Book title
Recommender Systems
Published by
Springer International Publishing, March 2016
DOI 10.1007/978-3-319-29659-3_1
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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 182 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 17%
Student > Ph. D. Student 25 14%
Student > Bachelor 23 13%
Researcher 14 8%
Student > Doctoral Student 9 5%
Other 19 10%
Unknown 62 34%
Readers by discipline Count As %
Computer Science 63 34%
Engineering 27 15%
Business, Management and Accounting 4 2%
Social Sciences 3 2%
Physics and Astronomy 3 2%
Other 17 9%
Unknown 66 36%

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