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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 2: Legal Aspects of Recommender Systems in the Web 2.0: Trust, Liability and Social Networking
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Citations

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Summary Dimensions citations
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Chapter title
Legal Aspects of Recommender Systems in the Web 2.0: Trust, Liability and Social Networking
Chapter number 2
Book title
Recommender Systems for the Social Web
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-25694-3_2
Book ISBNs
978-3-64-225693-6, 978-3-64-225694-3
Authors

Teresa Rodríguez de las Heras Ballell, de las Heras Ballell, Teresa Rodríguez

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Researcher 2 18%
Unknown 6 55%
Readers by discipline Count As %
Computer Science 4 36%
Business, Management and Accounting 1 9%
Social Sciences 1 9%
Unknown 5 45%

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