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Recommender Systems for the Social Web

Overview of attention for book
Cover of 'Recommender Systems for the Social Web'

Table of Contents

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    Book Overview
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    Chapter 1 Social Recommender Systems
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    Chapter 2 Legal Aspects of Recommender Systems in the Web 2.0: Trust, Liability and Social Networking
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    Chapter 3 Challenges in Tag Recommendations for Collaborative Tagging Systems
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    Chapter 4 A Multi-criteria Approach for Automatic Ontology Recommendation Using Collective Knowledge
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    Chapter 5 Implicit Trust Networks: A Semantic Approach to Improve Collaborative Recommendations
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    Chapter 6 Social Recommendation Based on a Rich Aggregation Model
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    Chapter 7 Group Recommender Systems: New Perspectives in the Social Web
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    Chapter 8 Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship
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    Chapter 9 Recommendations on the Move
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    Chapter 10 SCORM and Social Recommendation: A Web 2.0 Approach to E-learning
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    Chapter 11 Conclusiones and Open Trends
Attention for Chapter 6: Social Recommendation Based on a Rich Aggregation Model
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Citations

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5 Mendeley
Summary Dimensions citations
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Chapter title
Social Recommendation Based on a Rich Aggregation Model
Chapter number 6
Book title
Recommender Systems for the Social Web
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-25694-3_6
Book ISBNs
978-3-64-225693-6, 978-3-64-225694-3
Authors

Ido Guy

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 40%
Canada 1 20%
Unknown 2 40%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%

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