101 search results - page 5 / 21 » Scalable relevance feedback using click-through data for web... |
PRL
2008
13 years 7 months ago
2008
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
CHI
2011
ACM
12 years 11 months ago
2011
ACM
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
ECML
2004
Springer
14 years 26 days ago
2004
Springer
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...