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» BLINKS: ranked keyword searches on graphs
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WWW
2005
ACM
14 years 9 months ago
Object-level ranking: bringing order to Web objects
In contrast with the current Web search methods that essentially do document-level ranking and retrieval, we are exploring a new paradigm to enable Web search at the object level....
Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, Wei-Ying ...
HT
2009
ACM
14 years 3 months ago
Comparing the performance of us college football teams in the web and on the field
In previous research it has been shown that link-based web page metrics can be used to predict experts’ assessment of quality. We are interested in a related question: do expert...
Martin Klein, Olena Hunsicker, Michael L. Nelson
CIKM
2010
Springer
13 years 7 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
CIKM
2009
Springer
14 years 1 months ago
iMecho: an associative memory based desktop search system
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is...
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
IC
2003
13 years 10 months ago
Metasearch Via the Co-Citation Graph
—In spite of numerous search engines available on the web, no single engine is capable of performing “better” under all circumstances. This being the case, metasearch engines...
Hyun-Chul Lee