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
Conference proceedings

DOI: 10.1007/978-3-319-14723-9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8940)

Table of contents (8 papers)

  1. Front Matter
    Pages I-IX
  2. Exploratory Subgroup Analytics on Ubiquitous Data
    Martin Atzmueller, Juergen Mueller, Martin Becker
    Pages 1-20
  3. Ontology-Enabled Access Control and Privacy Recommendations
    Marcel Heupel, Lars Fischer, Mohamed Bourimi, Simon Scerri
    Pages 35-54
  4. Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context
    Dominik Kowald, Simone Kopeinik, Paul Seitlinger, Tobias Ley, Dietrich Albert, Christoph Trattner
    Pages 55-74
  5. Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender
    Dominik Kowald, Paul Seitlinger, Simone Kopeinik, Tobias Ley, Christoph Trattner
    Pages 75-95
  6. Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
    Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho
    Pages 96-115
  7. Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems
    Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
    Pages 116-130
  8. Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors
    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


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.


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

  • 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