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» Term Ranking for Clustering Web Search Results
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IADIS
2004
14 years 11 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
IM
2007
14 years 9 months ago
In-Degree and PageRank: Why Do They Follow Similar Power Laws?
PageRank is a popularity measure designed by Google to rank Web pages. Experiments confirm that PageRank values obey a power law with the same exponent as In-Degree values. This ...
Nelly Litvak, Werner R. W. Scheinhardt, Yana Volko...
WWW
2007
ACM
15 years 10 months ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
CIKM
2009
Springer
15 years 2 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
WSDM
2012
ACM
243views Data Mining» more  WSDM 2012»
13 years 5 months ago
No search result left behind: branching behavior with browser tabs
Today’s Web browsers allow users to open links in new windows or tabs. This action, which we call ‘branching’, is sometimes performed on search results when the user plans t...
Jeff Huang, Thomas Lin, Ryen W. White