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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

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Martin Atzmueller

    1. University of Kassel, Kassel, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Alvin Chin

    1. Microsoft, Beijing, China

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  3. Christoph Scholz

    1. University of Kassel, Kassel, Germany

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  4. Christoph Trattner

    1. Norwegian University of Science and Technology, Trondheim, Norway

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  • Contains revised, extended papers from the two workshops MUSE 2013 and MSM 2013
  • Discusses themes bridging the gap between the social and the ubiquitous world
  • Focuses on problems related to mining, modeling, and recommendation in ubiquitous social media
  • Includes supplementary material: sn.pub/extras

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MSM 2013, MUSE 2013.

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Table of contents (8 papers)

  1. Front Matter

    Pages I-IX
    Download chapter PDF

  2. Exploratory Subgroup Analytics on Ubiquitous Data

    • Martin Atzmueller, Juergen Mueller, Martin Becker
    Pages 1-20

  3. Personalised Network Activity Feeds: Finding Needles in the Haystacks

    • Shlomo Berkovsky, Jill Freyne
    Pages 21-34

  4. Ontology-Enabled Access Control and Privacy Recommendations

    • Marcel Heupel, Lars Fischer, Mohamed Bourimi, Simon Scerri
    Pages 35-54

  5. 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

  6. 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

  7. 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

  8. Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems

    • Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
    Pages 116-130

  9. 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

  10. Back Matter

    Pages 151-151
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  1. Mining, Modeling, and Recommending 'Things' in Social Media

Keywords

About this book

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.

Editors and Affiliations

  • University of Kassel, Kassel, Germany

    Martin Atzmueller, Christoph Scholz

  • Microsoft, Beijing, China

    Alvin Chin

  • Norwegian University of Science and Technology, Trondheim, Norway

    Christoph Trattner

Bibliographic Information

  • Book Title: Mining, Modeling, and Recommending 'Things' in Social Media

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

  • Editors: Martin Atzmueller, Alvin Chin, Christoph Scholz, Christoph Trattner

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-14723-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-14722-2Published: 14 January 2015

  • eBook ISBN: 978-3-319-14723-9Published: 24 December 2014

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: IX, 151

  • Number of Illustrations: 47 b/w illustrations

  • Topics: Information Storage and Retrieval, Data Mining and Knowledge Discovery, Artificial Intelligence

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