Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-11301-7_56
Title: Sensing geographical impact factor of multimedia news events for localized retrieval and news filtering
Authors: Zhang, X.
Li, J.-T.
Zhang, Y.-D.
Neo, S.-Y. 
Keywords: Filtering
Multimedia News Impact Factor
Retrieval
Issue Date: 2009
Source: Zhang, X.,Li, J.-T.,Zhang, Y.-D.,Neo, S.-Y. (2009). Sensing geographical impact factor of multimedia news events for localized retrieval and news filtering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5916 LNCS : 567-576. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-11301-7_56
Abstract: News materials are reports on events occurring in a given time and location. Looking at the influence of individual event, an event that has news reported worldwide is strategically more important than one that is only covered by local news agencies. In fact, news coverage of an event can accurately determine the event's importance and potential impact on the society. In this paper, we present a framework which extracts the latent impact factor of events from multimedia news resources by a geographical approach to support: (a) localized retrieval for end users; and (b) pre-screening of potential news elements that should be filtered for use by web monitoring agencies. © 2010 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41971
ISBN: 3642113001
ISSN: 03029743
DOI: 10.1007/978-3-642-11301-7_56
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