Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Ad auctions in sponsored search support"broad match"that allows an advertiser to target a large number of queries while bidding only on a limited number. While giving mo...
Eyal Even-Dar, Vahab S. Mirrokni, S. Muthukrishnan...
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
In this paper, we present BoP, a content-based publish/subscribe system for arbitrary Boolean subscriptions and advertisements. BoP targets at the time and space-efficient matchin...
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...