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» Implicit Online Learning
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ICML
2009
IEEE
14 years 8 months ago
Interactively optimizing information retrieval systems as a dueling bandits problem
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
Yisong Yue, Thorsten Joachims
ICASSP
2011
IEEE
12 years 11 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
ECTEL
2007
Springer
14 years 1 months ago
The Development of TE-Cap: An Assistance Environment for Online Tutors
Abstract. Our research is based on the hypothesis that the most important problem that has to be solved, so as to help tutors, is the gap between required competencies of distance ...
Élise Garrot, Sébastien George, Patr...
GROUP
2005
ACM
14 years 27 days ago
Follow the (slash) dot: effects of feedback on new members in an online community
Many virtual communities involve ongoing discussions, with large numbers of users and established, if implicit rules for participation. As new users enter communities like this, b...
Cliff Lampe, Erik W. Johnston
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 7 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea