11 search results - page 1 / 3 » Ranking with Query-Dependent Loss for Web Search |
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
SIGIR
2008
ACM
13 years 5 months ago
2008
ACM
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
WWW
2011
ACM
13 years 7 days ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
NIPS
2007
13 years 6 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...
IPM
2008
13 years 5 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...