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» Learning to cluster web search results
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IAT
2009
IEEE
14 years 23 hour ago
CubanSea: Cluster-Based Visualization of Search Results
—In recent years, there has been a move toward supporting the human element of Web search beyond a simple query box and a ranked list of search results. In this paper, we present...
Matthias Tilsner, Orland Hoeber, Adrian Fiech
FSKD
2007
Springer
158views Fuzzy Logic» more  FSKD 2007»
13 years 11 months ago
LET: Towards More Precise Clustering of Search Results
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
13 years 11 months ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu
WEBI
2005
Springer
13 years 10 months ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
CHI
2007
ACM
14 years 5 months ago
IGroup: presenting web image search results in semantic clusters
Current web image search engines still rely on user typing textual description: query word(s) for visual targets. As the queries are often short, general or even ambiguous, the im...
Shuo Wang, Feng Jing, Jibo He, Qixing Du, Lei Zhan...