499 search results - page 18 / 100 » Search Engines that Learn from Implicit Feedback |
123
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CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
110
Voted
ICADL
2010
Springer
15 years 3 months ago
2010
Springer
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending ex...
CEAS
2005
Springer
15 years 4 months ago
2005
Springer
Implicit query systems examine a document and automatically conduct searches for the most relevant information. In this paper, we offer three contributions to implicit query resea...
96
Voted
WWW
2006
ACM
15 years 11 months ago
2006
ACM
A major difference between corporate intranets and the Internet is that in intranets the barrier for users to create web pages is much higher. This limits the amount and quality o...
86
Voted
AI
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...