Purpose User feedback inferred from the user's search-time behavior could improve the learning to rank (L2R) algorithms …

This article describes how feature selection for learning to rank algorithms has become an interesting issue. While … selection for learning to rank, which promote efficiency and effectiveness of ranking models. As the number of features and … rank methods is required. In this article, a framework to examine research on feature selection for learning to rank (FSLR …

will then apply CDNs to the problem of learning to rank, or estimating parametric models for ranking, where CDNs provide a …