2018 search results - page 292 / 404 » Magnitude-preserving ranking algorithms |
147
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ICML
2009
IEEE
16 years 28 days ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
174
Voted
WSDM
2009
ACM
16 years 28 days ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
176
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WWW
2010
ACM
16 years 18 days ago
2010
ACM
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
194
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AINA
2005
IEEE
15 years 11 months ago
2005
IEEE
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...
145
Voted
SIGIR
2005
ACM
15 years 11 months ago
2005
ACM
We describe a method for improving the precision of metasearch results based upon scoring the visual features of documents' surrogate representations. These surrogate scores ...