80 search results - page 2 / 16 » Trada: tree based ranking function adaptation |
EMNLP
2009
13 years 3 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
IR
2010
13 years 4 months ago
2010
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
NIPS
2007
13 years 7 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...
CIKM
2009
Springer
13 years 9 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
ICDE
2006
IEEE
14 years 7 months ago
2006
IEEE
A top-k query combines different rankings of the same set of objects and returns the k objects with the highest combined score according to an aggregate function. We bring to ligh...