53 search results - page 1 / 11 » Learning to rank relevant and novel documents through user f... |
CIKM
2010
Springer
13 years 3 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
13 years 11 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
13 years 6 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
14 years 6 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
13 years 3 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...