852 search results - page 2 / 171 » Comparing relevance feedback algorithms for web search |
PRIS
2001
13 years 8 months ago
2001
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
MM
2006
ACM
14 years 28 days ago
2006
ACM
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
CIKM
2010
Springer
13 years 5 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...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
KDD
2006
ACM
14 years 7 months ago
2006
ACM
The top web search result is crucial for user satisfaction with the web search experience. We argue that the importance of the relevance at the top position necessitates special h...