63 search results - page 2 / 13 » Online learning for recency search ranking using real-time u... |
KDD
2005
ACM
14 years 5 months ago
2005
ACM
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
CIKM
2010
Springer
13 years 4 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...
KDD
2006
ACM
14 years 5 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...
ECIR
2011
Springer
12 years 9 months ago
2011
Springer
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...