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» Top-k learning to rank: labeling, ranking and evaluation
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WWW
2009
ACM
15 years 10 months ago
Advertising keyword generation using active learning
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng...
COLING
2010
14 years 4 months ago
Semi-supervised dependency parsing using generalized tri-training
Martins et al. (2008) presented what to the best of our knowledge still ranks as the best overall result on the CONLLX Shared Task datasets. The paper shows how triads of stacked ...
Anders Søgaard, Christian Rishøj
MTA
2007
141views more  MTA 2007»
14 years 9 months ago
Flexible integration of multimedia sub-queries with qualitative preferences
Complex multimedia queries, aiming to retrieve from large databases those objects that best match the query specification, are usually processed by splitting them into a set of m ...
Ilaria Bartolini, Paolo Ciaccia, Vincent Oria, M. ...
SIGIR
2011
ACM
14 years 15 days ago
Picasso - to sing, you must close your eyes and draw
We study the problem of automatically assigning appropriate music pieces to a picture or, in general, series of pictures. This task, commonly referred to as soundtrack suggestion,...
Aleksandar Stupar, Sebastian Michel
SIGIR
2010
ACM
15 years 1 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...