120 search results - page 4 / 24 » Learning to rank with multi-aspect relevance for vertical se... |
CVPR
2007
IEEE
14 years 14 days ago
2007
IEEE
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
WSDM
2010
ACM
14 years 6 months ago
2010
ACM
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
PKDD
2004
Springer
14 years 1 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...