354 search results - page 1 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
SIGIR
2012
ACM
11 years 6 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...
VLDB
2007
ACM
13 years 10 months ago
2007
ACM
In many applications, the underlying data (the web, an XML document, or a relational database) can be seen as a graph. These graphs may be enriched with weights, associated with t...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
JASIS
2010
13 years 2 months ago
2010
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This paper offers a no...
SIGIR
2012
ACM
11 years 6 months ago
2012
ACM
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...