30 search results - page 2 / 6 » Query-level loss functions for information retrieval |
IR
2010
13 years 3 months ago
2010
Abstract Most ranking algorithms are based on the optimization of some loss functions, such as the pairwise loss. However, these loss functions are often different from the criter...
RSKT
2009
Springer
13 years 11 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
IPM
2006
13 years 4 months ago
2006
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
SIGIR
2006
ACM
13 years 11 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
SISAP
2008
IEEE
13 years 11 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...