888 search results - page 14 / 178 » Learning to Select a Ranking Function |
KDD
2005
ACM
14 years 8 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 ...
ECML
2003
Springer
14 years 1 months ago
2003
Springer
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
KDD
2007
ACM
14 years 2 months ago
2007
ACM
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
IJCAI
2001
13 years 9 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ACL
2009
13 years 5 months ago
2009
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...