131 search results - page 14 / 27 » Pairwise Preference Learning and Ranking |
SIGIR
2008
ACM
13 years 10 months ago
2008
ACM
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
SODA
2007
ACM
14 years 10 days ago
2007
ACM
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...
CORR
2006
Springer
13 years 11 months ago
2006
Springer
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...