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ICML
2005
IEEE
16 years 7 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
ICML
2004
IEEE
16 years 7 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
WWW
2009
ACM
16 years 7 months ago
Towards intent-driven bidterm suggestion
In online advertising, pervasive in commercial search engines, advertisers typically bid on few terms, and the scarcity of data makes ad matching difficult. Suggesting additional ...
William Chang, Patrick Pantel, Ana-Maria Popescu, ...
WWW
2009
ACM
16 years 7 months ago
Privacy preserving frequency capping in internet banner advertising
We describe an optimize-and-dispatch approach for delivering pay-per-impression advertisements in online advertising. The platform provider for an advertising network commits to s...
Ayman Farahat
WWW
2009
ACM
16 years 7 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...