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Current Trends in Web Engineering

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Cover of 'Current Trends in Web Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Constructing Linguistic Resources for the Tunisian Dialect Using Textual User-Generated Contents on the Social Web
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    Chapter 2 Spanish Treebank Annotation of Informal Non-standard Web Text
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    Chapter 3 Introduction of N-gram into a Run-Length Encoding Based ASCII Art Extraction Method
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    Chapter 4 SMT: A Case Study of Kazakh-English Word Alignment
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    Chapter 5 Fractally-Organized Connectionist Networks: Conjectures and Preliminary Results
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    Chapter 6 Internet-Based Enterprise Innovation Through a Community-Based API Builder to Manage APIs
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    Chapter 7 End-User Centered Events Detection and Management in the Internet of Things
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    Chapter 8 Proposals for Modular Asynchronous Web Programming: Issues and Challenges
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    Chapter 9 Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content
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    Chapter 10 Perspectives and Methods in the Development of Technological Tools for Supporting Future Studies in Science and Technology
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    Chapter 11 Sensing Airports’ Traffic by Mining Location Sharing Social Services
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    Chapter 12 An Approach for Mining Social Patterns in the Conceptual Schema of CMS-Based Web Applications
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    Chapter 13 An e-Recruitment System Exploiting Candidates’ Social Presence
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    Chapter 14 #Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations
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    Chapter 15 Retrieving Relevant and Interesting Tweets During Live Television Broadcasts
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    Chapter 16 Current Trends in Web Engineering
Attention for Chapter 14: #Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations
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Chapter title
#Nowplaying on #Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations
Chapter number 14
Book title
Current Trends in Web Engineering
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-24800-4_14
Book ISBNs
978-3-31-924799-1, 978-3-31-924800-4
Authors

Martin Pichl, Eva Zangerle, Günther Specht

Editors

Florian Daniel, Oscar Diaz

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Doctoral Student 3 25%
Unspecified 1 8%
Professor 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 5 42%
Unspecified 1 8%
Unknown 6 50%