120 search results - page 2 / 24 » Learning to rank with multi-aspect relevance for vertical se... |
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
ECIR
2011
Springer
12 years 11 months ago
2011
Springer
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
CIKM
2010
Springer
13 years 6 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...