2164 search results - page 43 / 433 » Learning to rank for information retrieval |
IR
2010
13 years 6 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...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Rank correlation statistics are useful for determining whether a there is a correspondence between two measurements, particularly when the measures themselves are of less interest...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
NAACL
2010
13 years 5 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
IWPC
2007
IEEE
14 years 2 months ago
2007
IEEE
The paper addresses the problem of concept location in source code by presenting an approach which combines Formal Concept Analysis (FCA) and Latent Semantic Indexing (LSI). In th...