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» Improving Web Search Relevance with Semantic Features
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WEBNET
2001
13 years 10 months ago
Deriving Context Specific Information on the Web
: The Web is huge, unstructured and diverse in quality, which makes searching for information difficult. In practice, few of the documents returned by a search engine are valuable ...
Christo Dichev, Darina Dicheva
MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 2 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
ASSETS
2006
ACM
14 years 2 months ago
Improving non-visual web access using context
To browse the Web, blind people have to use screen readers, which process pages sequentially, making browsing timeconsuming. We present a prototype system, CSurf, which provides a...
Jalal Mahmud, Yevgen Borodin, Dipanjan Das, I. V. ...
ICIP
2010
IEEE
13 years 6 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
ICASSP
2008
IEEE
14 years 3 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...