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stat.ML2014
Predicting clicks in online display advertising with latent features and side-information
Bjarne Ørum Fruergaard
We review a method for click-through rate prediction based on the work of Menon et al. [11], which combines collaborative filtering and matrix factorization with a side-information…
stat.ML2014
Efficient inference of overlapping communities in complex networks
Bjarne Ørum Fruergaard, Tue Herlau
We discuss two views on extending existing methods for complex network modeling which we dub the communities first and the networks first view, respectively. Inspired by the networ…
stat.ML2013★ 1 cited
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation
Bjarne Ørum Fruergaard, Toke Jansen Hansen, Lars Kai Hansen
In online advertising, display ads are increasingly being placed based on real-time auctions where the advertiser who wins gets to serve the ad. This is called real-time bidding (R…