Please use this identifier to cite or link to this item: https://doi.org/10.1109/MMUL.2012.39
DC FieldValue
dc.titleNExT: NUS-Tsinghua center for Extreme search of user-generated content
dc.contributor.authorChua, T.-S.
dc.contributor.authorLuan, H.
dc.contributor.authorSun, M.
dc.contributor.authorYang, S.
dc.date.accessioned2013-07-04T07:48:42Z
dc.date.available2013-07-04T07:48:42Z
dc.date.issued2012
dc.identifier.citationChua, 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.issn1070986X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39750
dc.description.abstractThe 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.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/MMUL.2012.39
dc.sourceScopus
dc.subjectdata analytics
dc.subjectextreme search
dc.subjectgeolocation
dc.subjectmobile applications
dc.subjectmultimedia
dc.subjectNExT Center
dc.subjectNUS-Tsinghua Center for Extreme Search
dc.subjectsocial networking
dc.subjectuser-generated content
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/MMUL.2012.39
dc.description.sourcetitleIEEE Multimedia
dc.description.volume19
dc.description.issue3
dc.description.page81-87
dc.description.codenIEMUE
dc.identifier.isiut000306880800011
Appears in Collections:Staff Publications

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