266 search results - page 2 / 54 » Parallel learning to rank for information retrieval |
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
CIKM
2009
Springer
13 years 11 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 ...
IR
2010
13 years 3 months ago
2010
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM