354 search results - page 59 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
91
Voted
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
MLG
2007
Springer
15 years 3 months ago
2007
Springer
1 In web-related applications of image categorization, it is desirable to derive an interpretable classification rule with high accuracy. Using the bag-of-words representation and...
SIGIR
2010
ACM
14 years 9 months ago
2010
ACM
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
58
Voted
KDD
2005
ACM
15 years 10 months ago
2005
ACM
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
WSDM
2010
ACM
15 years 7 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...