53 search results - page 1 / 11 » Learning to rank relevant and novel documents through user f... |
CIKM
2010
Springer
14 years 8 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...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
IADIS
2004
14 years 11 months ago
2004
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
CIKM
2010
Springer
14 years 8 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...