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» Learning from Logged Implicit Exploration Data
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ECIR
2011
Springer
12 years 11 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
PVLDB
2008
72views more  PVLDB 2008»
13 years 6 months ago
Process spaceship: discovering and exploring process views from event logs in data spaces
Hamid R. Motahari Nezhad, Boualem Benatallah, R&ea...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 5 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
CIKM
2007
Springer
14 years 1 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera