888 search results - page 7 / 178 » Learning to Select a Ranking Function |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
NIPS
2007
13 years 9 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...