551 search results - page 9 / 111 » Performance evaluation of relevance feedback methods |
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
MM
2004
ACM
14 years 2 months ago
2004
ACM
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...
COLING
2010
13 years 3 months ago
2010
Re-ranking for Information Retrieval aims to elevate relevant feedbacks and depress negative ones in initial retrieval result list. Compared to relevance feedback-based re-ranking...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...