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» Term Ranking for Clustering Web Search Results
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IV
2005
IEEE
94views Visualization» more  IV 2005»
14 years 2 months ago
Meaning Metaphor for Visualizing Search Results
While searching the Web, the user is often confronted by a great number of results, generally sorted by their rank. These results are then displayed as a succession of ordered lis...
Nicolas Bonnel, Alexandre Cotarmanac'h, Annie Mori...
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
13 years 11 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
WWW
2007
ACM
14 years 9 months ago
How NAGA uncoils: searching with entities and relations
Current keyword-oriented search engines for the World Wide Web do not allow specifying the semantics of queries. We address this limitation with NAGA1 , a new semantic search engi...
Gjergji Kasneci, Fabian M. Suchanek, Maya Ramanath...
ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
13 years 10 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
WWW
2009
ACM
14 years 9 months ago
An effective semantic search technique using ontology
In this paper, we present a semantic search technique considering the type of desired Web resources and the semantic relationships between the resources and the query keywords in ...
Jihyun Lee, Jun-Ki Min, Chin-Wan Chung