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CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
CVPR
2008
IEEE
14 years 11 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
COLING
2010
14 years 4 months ago
An Empirical Study on Learning to Rank of Tweets
Twitter, as one of the most popular micro-blogging services, provides large quantities of fresh information including real-time news, comments, conversation, pointless babble and ...
Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung...
SIGIR
2009
ACM
15 years 4 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
SIGIR
2009
ACM
15 years 4 months ago
A bayesian learning approach to promoting diversity in ranking for biomedical information retrieval
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
Xiangji Huang, Qinmin Hu