812 search results - page 78 / 163 » Preference-based learning to rank |
169
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WWW
2010
ACM
15 years 10 months ago
2010
ACM
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
163
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JCST
2008
15 years 6 months ago
2008
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
200
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
169
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SIGIR
2004
ACM
15 years 11 months ago
2004
ACM
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
170
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ICDM
2005
IEEE
15 years 12 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...