2018 search results - page 83 / 404 » Magnitude-preserving ranking algorithms |
171
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CIKM
2010
Springer
15 years 4 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
163
Voted
RSFDGRC
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
182
Voted
KDD
2009
ACM
16 years 6 months ago
2009
ACM
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
177
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IPM
2008
15 years 6 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
170
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ICIP
1999
IEEE
16 years 7 months ago
1999
IEEE
The factorization method [1] is a feature-based approach to recover 3D rigid structure from motion. In [2], we extended their framework to recover a parametric description of the ...