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» Pairwise Preference Learning and Ranking
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CIKM
2011
Springer
12 years 11 months ago
A pairwise ranking based approach to learning with positive and unlabeled examples
Sundararajan Sellamanickam, Priyanka Garg, Sathiya...
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
14 years 5 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 11 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
NAACL
2010
13 years 8 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
NIPS
2004
14 years 8 days ago
Learning Preferences for Multiclass Problems
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
Fabio Aiolli, Alessandro Sperduti