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E-Commerce and Web Technologies

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Cover of 'E-Commerce and Web Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Robust Trust: Prior Knowledge, Time and Context
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    Chapter 2 Validating the Relationship between Information Quality and Trust: The Moderating Effect from Customer Orientation
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    Chapter 3 PAEAN – A Risk-Mitigation Framework for Business Transaction at Run-Time
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    Chapter 4 Mapping and Integration of Dimensional Attributes Using Clustering Techniques
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    Chapter 5 Service Offer Descriptions and Expressive Search Requests – Key Enablers of Late Service Binding
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    Chapter 6 Performative-Based Mining of Workflow Organizational Structures
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    Chapter 7 Recommender Systems in Computer Science and Information Systems – A Landscape of Research
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    Chapter 8 Differential Context Relaxation for Context-Aware Travel Recommendation
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    Chapter 9 Multi-criteria Ratings for Recommender Systems: An Empirical Analysis in the Tourism Domain
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    Chapter 10 Leveraging Social Media Sources to Generate Personalized Music Playlists
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    Chapter 11 Computational Commerce: A Vision for the Future
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    Chapter 12 Usage Analysis of a Mobile Bargain Finder Application
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    Chapter 13 Argumentation–Based Negotiation? Negotiation–Based Argumentation!
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    Chapter 14 A Systematic Success Factor Analysis in the Context of Enterprise 2.0: Results of an Exploratory Analysis Comprising Digital Immigrants and Digital Natives
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    Chapter 15 An Experimental Analysis of Online Unidirectional Conversion Problem
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    Chapter 16 Multichannel Sales Services for Enterprise Cloud Vendors
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    Chapter 17 Applying Contextual Advertising to MultiModal Information Content
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    Chapter 18 User Semantic Preferences for Collaborative Recommendations
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    Chapter 19 E-Commerce and Web Technologies
Attention for Chapter 10: Leveraging Social Media Sources to Generate Personalized Music Playlists
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Chapter title
Leveraging Social Media Sources to Generate Personalized Music Playlists
Chapter number 10
Book title
E-Commerce and Web Technologies
Published by
Springer, Berlin, Heidelberg, September 2012
DOI 10.1007/978-3-642-32273-0_10
Book ISBNs
978-3-64-232272-3, 978-3-64-232273-0
Authors

Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 9%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 22%
Researcher 5 22%
Professor 2 9%
Student > Master 2 9%
Lecturer 1 4%
Other 1 4%
Unknown 7 30%
Readers by discipline Count As %
Computer Science 9 39%
Business, Management and Accounting 1 4%
Engineering 1 4%
Unknown 12 52%