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» Term Ranking for Clustering Web Search Results
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IPM
2007
156views more  IPM 2007»
13 years 8 months ago
p2pDating: Real life inspired semantic overlay networks for Web search
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
WWW
2005
ACM
14 years 9 months ago
A personalized search engine based on web-snippet hierarchical clustering
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
Paolo Ferragina, Antonio Gulli
WISE
2005
Springer
14 years 2 months ago
Temporal Ranking of Search Engine Results
Existing search engines contain the picture of the Web from the past and their ranking algorithms are based on data crawled some time ago. However, a user requires not only relevan...
Adam Jatowt, Yukiko Kawai, Katsumi Tanaka
IJIS
2007
155views more  IJIS 2007»
13 years 8 months ago
Clustering web search results using fuzzy ants
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
Steven Schockaert, Martine De Cock, Chris Cornelis...
ICADL
2007
Springer
131views Education» more  ICADL 2007»
14 years 2 months ago
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach
Most of the previous works that disambiguate personal names in Web search results often employ agglomerative clustering approaches. In contrast, we have adopted a semi-supervised c...
Kazunari Sugiyama, Manabu Okumura