@inproceedings{e3ae88867a514fef82def6e47f0136b8,
title = "A cloud-assisted framework for bag-of-features tagging in social networks",
abstract = "Recently, Bag-of-Features Tagging is proven to be an alternative to discover user connections from user shared images in social networks. This approach used unsupervised clustering to classify the user shared images and then correlate similar user, which is computationally intensive for real-world applications. This paper introduces a cloud-assisted framework to improve the efficiency and scalability of Bag-of-Features Tagging. The framework distributes the computation of the unsupervised clustering, the profile learning process and also the similarity calculation. The experiment proves how a scalable cloud-assisted framework outperforms a stand-alone machine with different parameters on a real social network dataset, Skyrock.",
keywords = "Cloud computing, Facebook, Feature extraction, Media, Scalability, Tagging",
author = "Zhanming Jie and Ming Cheung and James She",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 4th IEEE Symposium on Network Cloud Computing and Applications, NCCA 2015 ; Conference date: 11-06-2015 Through 12-06-2015",
year = "2015",
month = nov,
day = "30",
doi = "10.1109/NCCA.2015.25",
language = "English",
series = "Proceedings - IEEE 4th Symposium on Network Cloud Computing and Applications, NCCA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "103--106",
editor = "Avresky, {Dimiter R.} and Kurt Tutschku and Emmanuelle Anceaume and Erik Maehle and Antonio Puliafito",
booktitle = "Proceedings - IEEE 4th Symposium on Network Cloud Computing and Applications, NCCA 2015",
address = "United States",
}