Please use this identifier to cite or link to this item:
https://doi.org/10.1109/MMUL.2012.39
DC Field | Value | |
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dc.title | NExT: NUS-Tsinghua center for Extreme search of user-generated content | |
dc.contributor.author | Chua, T.-S. | |
dc.contributor.author | Luan, H. | |
dc.contributor.author | Sun, M. | |
dc.contributor.author | Yang, S. | |
dc.date.accessioned | 2013-07-04T07:48:42Z | |
dc.date.available | 2013-07-04T07:48:42Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Chua, T.-S., Luan, H., Sun, M., Yang, S. (2012). NExT: NUS-Tsinghua center for Extreme search of user-generated content. IEEE Multimedia 19 (3) : 81-87. ScholarBank@NUS Repository. https://doi.org/10.1109/MMUL.2012.39 | |
dc.identifier.issn | 1070986X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/39750 | |
dc.description.abstract | The NUSTsinghua Center for Extreme Search (or NExT Center) is a collaboration between the National University of Singapore (NUS) and Tsinghua University that focuses on the novel, challenging task of analyzing and organizing UGC to make it available for general access. The center is working to generate higher-level analytics to understand topics of interests to society, their sentiments, evolving live events and social communities, as well as fashion habits and trends. It aims to organize the UGC corpus based on the extracted knowledge structures to facilitate user access and browsing. The center have also developed techniques to identify fashion accessories such as handbags and shoes in order to match for other similar items. NExT aims to share data, analytics, and resources in an effort to increase collaboration. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/MMUL.2012.39 | |
dc.source | Scopus | |
dc.subject | data analytics | |
dc.subject | extreme search | |
dc.subject | geolocation | |
dc.subject | mobile applications | |
dc.subject | multimedia | |
dc.subject | NExT Center | |
dc.subject | NUS-Tsinghua Center for Extreme Search | |
dc.subject | social networking | |
dc.subject | user-generated content | |
dc.type | Article | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/MMUL.2012.39 | |
dc.description.sourcetitle | IEEE Multimedia | |
dc.description.volume | 19 | |
dc.description.issue | 3 | |
dc.description.page | 81-87 | |
dc.description.coden | IEMUE | |
dc.identifier.isiut | 000306880800011 | |
Appears in Collections: | Staff Publications |
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