Mining, Modeling, and Recommending 'Things' in Social Media

4th International Workshops, MUSE 2013, Prague, Czech Republic, September 23, 2013, and MSM 2013, Paris, France, May 1, 2013, Revised Selected Papers

  • Martin Atzmueller
  • Alvin Chin
  • Christoph Scholz
  • Christoph Trattner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8940)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Martin Atzmueller, Juergen Mueller, Martin Becker
    Pages 1-20
  3. Marcel Heupel, Lars Fischer, Mohamed Bourimi, Simon Scerri
    Pages 35-54
  4. Dominik Kowald, Simone Kopeinik, Paul Seitlinger, Tobias Ley, Dietrich Albert, Christoph Trattner
    Pages 55-74
  5. Dominik Kowald, Paul Seitlinger, Simone Kopeinik, Tobias Ley, Christoph Trattner
    Pages 75-95
  6. Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho
    Pages 96-115
  7. Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
    Pages 116-130
  8. Danaipat Sodkomkham, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao
    Pages 131-149
  9. Back Matter
    Pages 151-151

About these proceedings

Introduction

This book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. The focus is on collective intelligence in ubiquitous and social environments. Issues tackled include personalization in social streams, recommendations exploiting social and ubiquitous data, and efficient information processing in social systems. Furthermore, this book presents work dealing with the problem of mining patterns from ubiquitous social data, including mobility mining and exploratory methods for ubiquitous data analysis.

Keywords

Collective intelligence Data analysis Data mining Modeling Pattern mining Predictive modeling Recommendation systems Recommender systems Semantic web Social computing Social media Social networks Social web Ubiquitous computing Ubiquitous data Web 2.0

Editors and affiliations

  • Martin Atzmueller
    • 1
  • Alvin Chin
    • 2
  • Christoph Scholz
    • 3
  • Christoph Trattner
    • 4
  1. 1.University of KasselKasselGermany
  2. 2.MicrosoftBeijingChina
  3. 3.University of KasselKasselGermany
  4. 4.Norwegian University of Science and TechnologyTrondheimNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14723-9
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14722-2
  • Online ISBN 978-3-319-14723-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349