82 search results - page 10 / 17 » Learning a ranking from pairwise preferences |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
SODA
2007
ACM
13 years 9 months 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...
NIPS
2003
13 years 9 months ago
2003
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
KDD
2009
ACM
14 years 8 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...