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SoMeRA@SIGIR 2014: Gold Coast, QLD, Australia
- Markus Schedl, Peter Knees, Jialie Shen:
SoMeRA'14, Proceedings of the First ACM International Workshop on Social Media Retrieval and Analysis, July 11, 2014, Gold Coast, Queensland, Australia. ACM 2014, ISBN 978-1-4503-3022-0
Paper session I
- Maram Hasanain, Rana Malhas, Tamer Elsayed:
Query performance prediction for microblog search: a preliminary study. 1-6 - Tarek El-Ganainy, Walid Magdy, Ahmed Rafea:
Hyperlink-extended pseudo relevance feedback for improved microblog retrieval. 7-12
Poster session
- Chen Wang, Sarvnaz Karimi:
Differences between social media and regulatory databases in adverse drug reaction discovery. 13-14 - Alejandro Metke-Jimenez, Sarvnaz Karimi, Cécile Paris:
Evaluation of text-processing algorithms for adverse drug event extraction from social media. 15-20 - Zhongyu Wei, Wei Gao, Tarek El-Ganainy, Walid Magdy, Kam-Fai Wong:
Ranking model selection and fusion for effective microblog search. 21-26 - Gabriel Vigliensoni, Ichiro Fujinaga:
Identifying time zones in a large dataset of music listening logs. 27-32 - Dhiraj Joshi, Francine Chen, Lynn Wilcox:
Finding selfies of users in microblogged photos. 33-34 - Fatiha Sadat, Farnazeh Kazemi, Atefeh Farzindar:
Automatic identification of arabic dialects in social media. 35-40 - Peter Knees:
The use of social media for music analysis and creation within the giantsteps project. 41-42 - Markus Schedl:
Social media and classical music?: a first analysis within the PHENICX project: "performances as highly enriched aNd interactive concert eXperiences". 43-44
Paper session II
- Reyyan Yeniterzi, Jamie Callan:
Constructing effective and efficient topic-specific authority networks for expert finding in social media. 45-50 - Yekyung Kim, Bongwon Suh, Kyogu Lee:
#nowplaying the future billboard: mining music listening behaviors of twitter users for hit song prediction. 51-56 - Stefano Mizzaro, Marco Pavan, Ivan Scagnetto, Martino Valenti:
Short text categorization exploiting contextual enrichment and external knowledge. 57-62
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