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» Learning to cluster web search results
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SIGIR
2004
ACM
13 years 10 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
MM
2004
ACM
151views Multimedia» more  MM 2004»
13 years 10 months ago
Grouping web image search result
In this paper, we propose a Web image search result organizing method to facilitate user browsing. We formalize this problem as a salient image region pattern extraction problem. ...
Xin-Jing Wang, Wei-Ying Ma, Qi-Cai He, Xing Li
MM
2006
ACM
217views Multimedia» more  MM 2006»
13 years 10 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...
IJIS
2007
155views more  IJIS 2007»
13 years 4 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»
13 years 10 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