
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
Springer (Publisher)
Published on 14. January 2015
Book
Paperback/Softback
IX, 151 pages
978-3-319-14722-2 (ISBN)
Description
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.
More details
Series
Edition
2015 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
47 s/w Abbildungen
IX, 151 p. 47 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
260 gr
ISBN-13
978-3-319-14722-2 (9783319147222)
DOI
10.1007/978-3-319-14723-9
Schweitzer Classification
Other editions
Additional editions

Martin Atzmueller | Alvin Chin | Christoph Scholz
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
E-Book
12/2014
Springer
€42.79
Available for download
Content
Exploratory Subgroup Analytics on Ubiquitous Data.- Personalized Network Activity Feeds: Finding Needles in Haystacks.- Ontology-Enabled Access Control and Privacy Recommendations.- Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context.- Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender.- Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.- Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.- Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors.