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CIKM
2009
Springer
16 years 1 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
CIVR
2007
Springer
112views Image Analysis» more  CIVR 2007»
16 years 19 days ago
Canonical image selection from the web
The vast majority of the features used in today’s commercially deployed image search systems employ techniques that are largely indistinguishable from text-document search – t...
Yushi Jing, Shumeet Baluja, Henry A. Rowley
JCDL
2006
ACM
143views Education» more  JCDL 2006»
16 years 12 days ago
Categorizing web search results into meaningful and stable categories using fast-feature techniques
When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
Bill Kules, Jack Kustanowitz, Ben Shneiderman
WEBI
2005
Springer
15 years 12 months ago
Metadata Propagation in the Web Using Co-Citations
Given the large heterogeneity of the World Wide Web, using metadata on the search engines side seems to be a useful track for information retrieval. Though, because a manual quali...
Camille Prime-Claverie, Michel Beigbeder, Thierry ...
CIKM
2004
Springer
15 years 12 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel